Top Institutions Research Articles

Role of Technology Innovation in Economic Growth: A Bibliometric Analysis

Economic growth is a metric used to measure a country's development and advancement. Technological innovation is a driving force behind economic growth and helps to improve and modernize industrial techniques. Thus, this study aims to synthesize existing research on the impact of technology innovation on economic growth from 2010 to 2024 through bibliometric analysis. 414 documents were extracted from the Scopus database and then analyzed through the BiblioShiny software. This review provides insightful information on the background of technological innovation and its impact on economic growth and analyses data according to publication patterns, sources, documents, authors, nations, and keywords. The results indicate a rapid and remarkable growth (28.91%) in this field, suggesting that interest in this field has increased noticeably. China emerges as a leader in terms of research production, citations, and partnerships when national contributions are examined. China is also a keyword that is frequently used in related literature. Sharif A. and Liu J are the most influential authors in terms of citation and publication respectively. Jiangsu University is the top institution, and “Environment Science and Pollution Research” is the top source that has contributed the highest number of articles in this field. Various bibliometric studies have been carried out to explore the concept of technology innovation in different facets and contexts, but economic growth through the lens of technological innovation remains unexplored. Thus, this study advances our knowledge regarding the influential role of technology innovation in economic growth by using a bibliometric lens to examine the literature, identify knowledge gaps, indicate areas requiring more research, and highlight the potential for progress. These findings will have significant implications that can greatly benefit researchers, decision-makers, and professionals in crafting policies and focusing on infrastructure development to support technology innovation. This bibliometric study concludes with limitations and recommendations for further study.

Research hotspots and trends of mesenchymal stem cell-derived extracellular vesicles for drug delivery: a bibliometric and visualization analysis from 2013 to 2023

IntroductionOur study aims to provide a comprehensive overview of mesenchymal stem cell-derived extracellular vesicles (MSC-EVs) in drug delivery research, focusing on the period between 2013 and 2023. Given the increasing global interest in this field, we utilized bibliometric tools to explore publication trends, key contributors, and thematic research clusters.MethodsData was collected from the Web of Science (WoS) database, and an in-depth bibliometric analysis was conducted using VOSviewer. The analysis encompassed bibliographic coupling, co-citation, co-authorship, and co-occurrence trends, offering a structured insight into global research activity. We also employed Citespace to further analyze thematic clusters in this domain.ResultsOur analysis revealed a total of 1,045 publications related to MSC-EVs in drug delivery over the past decade, showing a steady increase in research output. China led in publication count, H-index, prolific authors, and research funding, while the United States ranked highest in total citations, average citation counts, and H-index performance. Pharmaceutics emerged as the leading journal by publication volume, with the Journal of Controlled Release having the strongest total link strength. Top institutions driving research included Shanghai Jiao Tong University, Zhejiang University, and Harvard University. VOSviewer analysis identified four major research clusters: tissue engineering, cancer, neurological diseases, and targeted delivery. Citespace analysis refined this further into ten thematic areas, including differentiation, tissue regeneration, and drug resistance.DiscussionThis bibliometric assessment provides a holistic visualization of the research landscape for MSC-EVs in drug delivery, underlining the significant contributions of China and the United States. Our findings underscore the increasing global importance of MSC-EV research and highlight emerging themes that will likely guide future research directions. The insights from this study offer a foundational framework for identifying nascent frontiers in MSC-EV-based drug delivery.

A bibliometric and visualization analysis of entosis research from 2007 to 2024

ObjectiveIn 2007, entosis was proposed as a form of programmed cell death, distinct from apoptosis. This process involves a living cell (internalized cell) actively invading a neighboring live cell of the same type (host cell), forming a cell-in-cell structure. Recently, entosis has been increasingly associated with cancer, leading to significant advancements in research. Despite this progress, a comprehensive and unbiased review of the current state of entosis research is lacking. This study aims to evaluate the developments in the field of entosis over the past decade and highlight emerging research trends.Materials and methodsWe performed a literature search for studies published since the introduction of the entosis concept, using the Web of Science Core Collection database. The bibliometric analysis was conducted using VOSviewer, CiteSpace, Microsoft Excel, and the Bibliometrix R package.ResultsA total of 196 articles from 39 countries and 346 institutions were included. Between 2007 and 2024, research on entosis has seen rapid growth, with most publications originating from China and the United States. The United States also leads in total citations, with Memorial Sloan Kettering Cancer Center emerging as the top research institution. Sun Qiang is the most prolific author in this field, while Overholtzer M has the highest number of citations. Current Molecular Medicine has published the most articles related to entosis. Frequently occurring keywords include “entosis,” “cannibalism,” “autophagy,” and “apoptosis.” In recent years, keywords such as “phagocytosis,” “drug resistance,” and “human cancers” have surged, indicating a growing focus on understanding the role of entosis in tumor progression and exploring its potential as a therapeutic target for cancer treatment.ConclusionsThis study provides the first bibliometric analysis of entosis, detailing its evolution over the last decade. It highlights critical areas of interest, including the development of inhibitors targeting entosis and their potential clinical applications. This research aims to guide future investigations and serve as a valuable resource for scholars exploring entosis in cancer biology.

Advancing Knowledge in Forest Water Use Efficiency Under Global Climate Change Through Scientometric Analysis

Forests are critical in regulation of carbon and water cycles and mitigation of climate change. Forest water-use efficiency (WUE) refers to the ratio of biomass produced (or assimilated carbon) to the amount of water used by forests, which indicates how effectively a forest utilizes water to achieve productivity. Climate change and its impact on forest WUE are important research directions that explore the complex relationship between global environmental change and the forest ecosystem dynamics. The global intensification of climate change underscores the need for an inclusive understanding of forest water use and makes it crucial to know how forests balance carbon and water resources, which is essential for effective forest management and predicting ecosystem responses to climate change. This study aims to comprehensively and objectively analyze current research trends and future directions related to the response of forest WUE to climate change. Our database included 1755 research papers from the Web of Science Core Collection, spanning from 2000 to 2023. Our analysis included cooperative networks of countries, authors, and institutions, as well as the most frequently cited journals and articles, keyword co-occurrence analysis, and a keyword burst analysis. The results showed that the top cooperative country, author, and institution is PR China, Prof. Dr. Jesús Julio Camarero from the Consejo Superior de Investigaciones Científicas (CSIC), and the Chinese Academy of Sciences, respectively. The leading journal in this field is “Global Change Biology”. Critical research hot topics include gas exchange, modeling, altitudinal gradients, tree growth dynamics, net carbon exchange, global change drivers, tropical forests, nitrogen stoichiometry, Northern China plains, and extreme drought conditions. Frontier topics that have emerged in recent years include studies on China’s Loess Plateau, stable isotopes, radial growth, gross primary productivity, and Scots pine. The insights from this analysis are vital for researchers, decision-makers, and forestry professionals aiming to mitigate the impacts of climate change on forest WUE and overall ecosystem health and resilience. This study emphasizes the importance of sustained research efforts and global research collaboration in addressing the intricate challenges posed by climate change to forest ecosystems.

A bibliometric and visualization analysis of global trends and frontiers on macrophages in abdominal aortic aneurysms research.

Macrophages are key regulators of the inflammatory and innate immune responses. Researchers have shown that aberrant expression of macrophages contributes to the development of abdominal aortic aneurysms (AAA). However, a comprehensive bibliometric analysis exploring the research status and knowledge mapping of this area is lacking. This study aimed to explore the research status, knowledge mapping and hotspots of macrophages in AAA research from a bibliometric perspective. In this study, we retrieved articles published between 2000 and 2022 on macrophages associated with AAA research from the Web of Science Core Collection (WoSCC) database. The retrieved literature data were further analyzed using Citespace and VOSviewer software. A total of 918 qualified publications related to AAA-associated macrophages were retrieved. The number of publications in this field has been increasing annually. China and the United States were the 2 main drivers in this field, contributing to more than 64% of the publications. In addition, the US had the most publications, top institutions, and expert researchers, dominating in research on macrophages in AAA. The Harvard University was the most productive institution, with 60 publications. The journal with the most publications was Arteriosclerosis, Thrombosis, and Vascular Biology (86). Daugherty Alan was the most prolific author (28 publications) and he was also the most cited co- author. Furthermore, the exploration of established animal models, macrophage-related inflammatory-microenvironment, macrophage-related immune mechanism, clinical translation and molecular imaging research remained future research directions in this field. Our findings offered new insights for scholars in this field. They will help researchers explore new directions for their work.

Progress and Trends in Forage Cactus Silage Research: A Bibliometric Perspective

Opuntia spp. (forage cactus or spineless cactus) is a plant native to Mexico that is commonly used as alternative nutrient-rich fodder in semi-arid regions. Due to its resistance to drought, forage cactus has become an important least-cost ingredient for formulating balanced rations for ruminants during times of scarcity. In addition, ensiling, an anaerobic fermentation process, is also a strategy used to allow a supply of bulky food all year round, since it conserves forage and maintains its nutritional value. In this sense, using the Scopus database and the visualization tool VOSviewer, the present work proposes a bibliometric analysis of forage cactus silage to track and map the evolution and main issues in the research field, current trends, and future directions. The results revealed that the first publication was in 2013; and since 2020, the number of publications has been growing. Brazil was highlighted, by far, as the most relevant country on the topic, and the top institutions were from northeast Brazil, which has been working on co-authored articles. The current hot research topics are focusing on the mixed silage of forage cactus and other forages such as gliricidia, maniçoba, and sorghum biomass, as well as evaluating the fermentative performance and chemical characteristics for improving ruminal diets, especially for goats and sheep. This study provides important information for researchers to identify gaps and direct their studies to better use the whole potential of forage cactus as an alternative roughage source.

Frontiers of myopia research in the 21st century: A bibliometric analysis of the top 100 most influential articles in the field.

Myopia is the most common refractive error worldwide, contributing not only to visual impairment but also serving as a potential risk factor for various severe ocular diseases. Its impact on patients' quality of life and health is significant and imposes substantial socioeconomic burdens. In this study, we analyzed the top 100 most cited articles related to myopia published in the Web of Science Core Collection database from January 2000 to February 2024. Using data visualization tools CiteSpace, VOSviewer, and Scimago Graphica, we identified the most influential research papers and academic journals in the field of myopia. The top 100 most influential articles were published in 25 renowned journals across 30 countries, with Investigative Ophthalmology & Visual Science being the most prolific. Ophthalmology had the highest total citation frequency, while The Lancet had the highest average citation frequency. The United States and the National University of Singapore were the top countries and institutions with the most published papers. The 3 major research directions are Ophthalmology, Medicine, General & Internal, and Genetics & Heredity. The top 5 co-occurring keywords were refractive error, risk factors, prevalence, eye growth, and form-deprivation myopia. Cluster analysis results highlighted focal points such as retinal detachment, high myopia, and contrast sensitivity, indicating potential future research trends. Prospective research directions include investigating the pathogenesis of myopia, updating diagnostic technologies, and identifying risk genes for myopia and its complications.

Trends of machine learning for dental caries research in Southeast Asia: insights from a bibliometric analysis.

Dental caries is a common chronic oral disease, posing a serious public health issue. By analyzing large datasets, machine learning shows potential in addressing this problem. This study employs bibliometric analysis to explore emerging topics, collaborations, key authors, and research trends in Southeast Asia related to the application of machine learning in dental caries management. A comprehensive selection using the Scopus database to obtain relevant research, covering publications from inception to July 2024 was done. We employed the Bibliometric approaches, including co-authorship networks, yearly publishing trends, institutional and national partnerships, keyword co-occurrence analysis, and citation analysis, for the collected data. To explore the visualization and network analysis, we employed the tools such as VOSviewer and Bibliometrix in R package. The final bibliometric analysis included 246 papers. We found that Malaysia became the top contributor with 59 publications, followed by Indonesia (37) and Thailand (29). Malaysia had the highest Multiple Country Publications (MCP) ratio at 0.407. Top institutions including the Universiti Sains Malaysia led with 39 articles, followed by Chiang Mai University (36) and the National University of Singapore (30) became the leader. Co-authorship analysis using VOSviewer revealed six distinct clusters. A total of 1220 scholars contributed to these publications. The top 10 keywords, including 'human' and 'dental caries,' indicated research hotspots. We found growing evidence of machine learning applications to address dental caries in Southeast Asia. The bibliometric analysis highlights key authors, collaborative networks, and emerging topics, revealing research trends since 2014. This study underscores the importance of bibliometric analysis in tackling this public health issue.

Artificial Intelligence in Retail Marketing: Research Agenda Based on Bibliometric Reflection and Content Analysis (2000–2023)

Artificial intelligence (AI) is fundamentally transforming the marketing landscape, enabling significant progress in customer engagement, personalization, and operational efficiency. The retail sector has been at the forefront of the AI revolution, adopting AI technologies extensively to transform consumer interactions, supply chain management, and business performance. Given its early adoption of AI, the retail industry serves as an essential case context for investigating the broader implications of AI for consumer behavior. Drawing on 404 articles published between 2000 and 2023, this study presents a comprehensive bibliometric and content analysis of AI applications in retail marketing. The analysis used VOSviewer (1.6.20.0 version) and Bibliometrix (version 4.3.1) to identify important contributors, top institutions, and key publication sources. Co-occurrence keyword and co-citation analyses were used to map intellectual networks and highlight emerging themes. Additionally, a focused content analysis of 50 recent articles was selected based on their relevance, timeliness, and citation influence. It revealed six primary research streams: (1) consumer behavior, (2) AI in retail marketing, (3) business performance, (4) sustainability, (5) supply chain management, and (6) trust. These streams were categorized through thematic relevance and theoretical significance, emphasizing AI’s impact on the retail sector. The contributions of this study are twofold. Theoretically, it integrates existing research on AI in retail marketing and outlines future research in areas such as AI’s role in the domain of consumer behavior. From an empirical standpoint, the study highlights how AI can be applied to enhance customer experiences and improve business operations.

Trends and hotspots in the field of diabetic retinopathy imaging research from 2000-2023.

Diabetic retinopathy (DR) poses a major threat to diabetic patients' vision and is a critical public health issue. Imaging applications for DR have grown since the 21st century, aiding diagnosis, grading, and screening. This study uses bibliometric analysis to assess the field's advancements and key areas of interest. This study performed a bibliometric analysis of DR imaging articles collected from the Web of Science Core Collection database between January 1st, 2000, and December 31st, 2023. The literature information was then analyzed through CiteSpace. The United States and China led in the number of publications, with 719 and 609, respectively. The University of London topped the institution list with 139 papers. Tien Yin Wong was the most prolific researcher. Invest. Ophthalmol. Vis. Sci. published the most articles (105). Notable burst keywords were "deep learning," "artificial intelligence," et al. The United States is at the forefront of DR research, with the University of London as the top institution and Invest. Ophthalmol. Vis. Sci. as the most published journal. Tien Yin Wong is the most influential researcher. Hotspots like "deep learning," and "artificial intelligence," have seen a significant rise, indicating artificial intelligence's growing role in DR imaging.

Perilymphatic fistula: a historical overview of publication trends

BackgroundPerilymph fistula (PLF) can cause symptoms of dizziness, vertigo, and fluctuating hearing. We hypothesized that publications on PLF have decreased in recent years relative to other inner ear disorders with overlapping symptoms.MethodsWe performed a Scopus search using the terms “perilymphatic fistula” OR “perilymph fistula,” limited to original studies or reviews involving human subjects published in English before 2022. We noted the senior author's institution, country affiliation, and publishing journal. The Kendall rank correlation coefficient test was used to analyze the trend of each variable over the past 30 years. Using the same search strategy, we compared these data to those from vestibular neuritis (VN), Meniere's disease (MD), superior semicircular canal dehiscence (SSCD), and benign paroxysmal positional vertigo (BPPV).ResultsSix hundred and ninety-eight PLF publications were returned. The top publishing country was the United States (n = 334), the top publishing journal was the American Journal of Otology/Otology and Neurotology (n = 68), and the top publishing institution was the University of Pittsburgh (n = 15). In the past 30 years (n = 501), there was no trend in the frequency of annual PLF publications (τ = −0.150, p = 0.265). Still there were positive trends in publications on vestibular neuritis (τ = 0.724, p < 0.001), Meniere's disease (τ = 0.587, p < 0.001), superior canal dehiscence syndrome (τ = 0.840, p < 0.001), and benign paroxysmal positional vertigo (τ = 0.882, p < 0.001) 5,398 PLF cases were identified, of which 4,356 specified the etiology; the majority identified an inciting insult (74.8%, n = 3,257).ConclusionsThe absence of diagnostic criteria for PLF may hinder its appeal to researchers as similar syndromes have had diagnostic consensus documents set forth. Given the greater number of cases with inciting insults, efforts to define a diagnostic criterion should focus on this subtype.

Are faculty members capable of finding the needed information? A study of selected universities of Jammu and Kashmir

We all need information and there is so much of it available in both physical and digital media. However, to find the needed information, capability of searching; knowledge of retrieval tools like catalogue; knowledge of Boolean operators, wildcards and truncations; and knowledge to different sources of information like bibliography, encyclopaedia, journals, etc. are equally important. The current study set out to investigate the faculty members’ searching capabilities in four of Jammu & Kashmir's top institutions. The study used questionnaire as a tool to gather data from randomly identified population. After applying appropriate statistical techniques, the study revealed that the faculty members are not able to cross the half mark of correct answering for some basic questions posed to them. Eventually, the study suggests to conduct user awareness programmes since these programmes are significantly associated with the correct responses given by the faculty members in the universities studied.

Trends of machine learning for dental caries research in Southeast Asia: insights from a bibliometric analysis

Background Dental caries is a common chronic oral disease, posing a serious public health issue. By analyzing large datasets, machine learning shows potential in addressing this problem. This study employs bibliometric analysis to explore emerging topics, collaborations, key authors, and research trends in Southeast Asia related to the application of machine learning in dental caries management. Methods A comprehensive selection using the Scopus database to obtain relevant research, covering publications from inception to July 2024 was done. We employed the Bibliometric approaches, including co-authorship networks, yearly publishing trends, institutional and national partnerships, keyword co-occurrence analysis, and citation analysis, for the collected data. To explore the visualization and network analysis, we employed the tools such as VOSviewer and Bibliometrix in R package. Results The final bibliometric analysis included 246 papers. We found that Malaysia became the top contributor with 59 publications, followed by Indonesia (37) and Thailand (29). Malaysia had the highest Multiple Country Publications (MCP) ratio at 0.407. Top institutions including the Universiti Sains Malaysia led with 39 articles, followed by Chiang Mai University (36) and the National University of Singapore (30) became the leader. Co-authorship analysis using VOSviewer revealed six distinct clusters. A total of 1220 scholars contributed to these publications. The top 10 keywords, including ‘human’ and ‘dental caries,’ indicated research hotspots. Conclusion We found growing evidence of machine learning applications to address dental caries in Southeast Asia. The bibliometric analysis highlights key authors, collaborative networks, and emerging topics, revealing research trends since 2014. This study underscores the importance of bibliometric analysis in tackling this public health issue.

Preface

The International Conference on Artificial Intelligence Technologies and Applications (ICAITA) is an annual conference focusing on the research areas of and related to artificial intelligence technologies and applications. It aims to establish a broad and interdisciplinary platform for experts, researchers, and students worldwide to present, exchange, and discuss the latest advance and development in related disciplines and domains. This volume contains the papers collected from 2024 6th International Conference on Artificial Intelligence Technologies and Applications (ICAITA 2024), held during June 14th to 16th, 2024 in Changchun, China. The topics cover Artificial Neural Networks, Neuroinformatics, Computational Theories of Learning, Machine Learning, Fuzzy Logic and Methods, etc. Each of these papers has gained a comprehensive review by the editorial team and professional reviewers, and has been examined and evaluated for its theme, structure, method, content, language, and format. Cooperating with prestigious universities and institutes, ICAITA 2024 organized a series of programs including welcoming speech, keynote speech, oral presentation, poster presentation, academic discussion, among others, bringing together about 150 participants worldwide. In the keynote speech session, eminent speakers from top universities and institutions including Haijun Zhang (National Outstanding Youth Fund recipient, IEEE Fellow, Professor of Beijing University of Science and Technology), Xiangjian He (National-level Talent, Chair Professor of the University of Nottingham Ningbo China), Qinmin Yang (Zhejiang University), and Dongjing Miao (Harbin Institute of Technology) shared their researches and fully discussed and exchanged the development dynamics and research direction on “Artificial Intelligence Technologies and Applications.” Their presentations, based on cutting-edge research, offered unique perspectives on the forefront of computer science development, and explored future industry trends. Active participation and enthusiastic exchanges amongst experts and scholars enriched the discussions, with the sharing of novel research findings, practical experiences, and technological innovations. The 2024 6th International Conference on Artificial Intelligence Technologies and Applications has established a high-quality international academic exchange and cooperation platform for scholars and practitioners working in the fields related to artificial intelligence technologies and applications, linking the paths among science and technology, talents, industry, service, and innovation, stimulating the innovation vitality of researchers in universities and institutes, promoting the innovation and application of artificial intelligence technologies, and fostering the development of relevant industries. On behalf of the conference committee, we would like to give sincere gratitude to all the authors and speakers who have made their contributions to ICAITA 2024, editors and reviewers who have guaranteed the quality of papers with their expertise, and the committee members who have devoted themselves to the success of the conference. We believe that this series will continue, and we hope to receive more innovative and interesting submissions for this series of conference in the coming years. The Committee of ICAITA 2024 List of Committee Member is available in this Pdf.

Nursing students' experiences of digital learning in Chinese higher education institutions: A descriptive qualitative study

BackgroundAs digital learning is rapidly developing and being applied to almost all subjects in higher education nursing. Although digital learning has been shown to have a wide range of benefits, little is known about research into Chinese students' perceptions of digital learning, and there is a need to explore students' digital learning experiences. AimThis study aimed to explore the digital learning experiences of undergraduate nursing students in Chinese higher education institutions, with the aim of informing future improvements in digital teaching and learning. DesignA descriptive qualitative study. SettingsThis study was conducted at six universities in three cities in China. ParticipantsTwenty-six nursing students with at least one year's experience of digital learning. MethodSemi-structured online interviews were used to collect the data, and conventional content analysis was used to analyze the data. FindingsNursing students' digital learning experiences were categorized into three themes: positive digital learning experience, negative digital learning experience, and barriers to digital learning perception of students. ConclusionsWith the help of advanced digital technology, students can access rich and diversified learning resources anytime and anywhere according to their personal learning pace and interests, which greatly enhances their autonomy and interest in learning. Open online courses have effectively compensated for regional differences in teachers' qualifications, enabling students in remote areas to enjoy high-quality teaching from top educational institutions and giving a solid impetus for improving nursing education in China. However, with the popularity of digital teaching, its design and innovation shortcomings have gradually emerged: students feel lonely and alienated when learning online, and long for more of the interaction and care found in traditional teaching. At the same time, the lack of regulation and assessment standards has created inequities in learning and affected student motivation.

Trends and hotspots on the relationship between gut microbiota and Parkinson's Disease: a bibliometric analysis.

Parkinson's disease (PD) is a neurodegenerative disorder that significantly impacts patients' quality of life. Recent evidence has highlighted a complex relationship between the gut microbiota (GM) and PD. Understanding this relationship is crucial for potentially targeting GM in PD treatment and expanding therapeutic options. This study aimed to comprehensively analyze the global landscape, trends, and research focus on GM and PD using bibliometric analysis. Utilizing publications from the Web of Science Core Collection (WsSCC), bibliometric tools such as the R package 'Bibliometrix,' VOS viewer, and CiteSpace software were employed to assess parameters like yearly publications, countries/regions, institutions, and authors. Research trends and hotspots were identified through keyword analysis. The results revealed 1,161 articles published between 2013-2023, with China leading in publications (n=352, 30.31% of total), while the United States had a higher influence (H-index=58). The University of California System was the top institution in terms of publications (n=35), with the National Natural Science Foundation of China funding the most projects (n=172). Keshavarzian A and Sampson TR were the authors with the highest publication and co-citation counts, respectively. The International Journal of Molecular Sciences had the most articles published (n=48). Keyword analysis identified parkinson's disease, gut microbiota, short-chain fatty acids, inflammation, and probiotics as main research topics. Biomarkers, ketogenic diet, and NF-κB were recent research hotspots and trends (2021-2023). The current study conducts an objective and comprehensive analysis of these publications, identifying trends and hotspots in the field of research. The findings offer valuable insights to scholars globally and in-vestigate potential therapeutic strategies for Parkinson's Disease.

An Eye on Extracellular Vesicles: Trends and Clinical Translations in Vision Research

PurposeTo perform a review of research, funding, and clinical translation efforts for extracellular vesicles (EVs) within vision science. DesignRetrospective analysis of publication, funding, and clinical trials data. MethodsA pre-trained large language model (Jina2) was used to create semantic embeddings for 41,282 abstracts from articles related to extracellular vesicles archived on EMBASE and published between January 1966 and January 2024. The articles were projected and clustered according to semantic embedding similarity, and research subdomains for extracellular vesicles were determined through inspection of tf-idf weighted word clouds. Mann-Kendall trend analysis was performed to identify current areas of growth within extracellular vesicle research. Additionally, NIH funding data from RePORTER and clinical trials data from ClinicalTrials.gov were analyzed to correlate publication trends with funding support and clinical translation efforts. ResultsUnsupervised clustering and Mann-Kendall trend analysis identified wound healing/regeneration (p=0.030) and neurodegenerative disease (p=0.049) as significantly accelerating in growth of publication over time. Ophthalmology-restricted subset analysis identified that publications in age-related macular degeneration (p=0.191) and clinical applications (p=0.086) are no longer growing at a significant rate. Analysis of funding data identified that the NCI was the top funding institution overall, but that the NIA is rapidly advancing in terms of funding extracellular vesicle research and trials. Analysis of ClinicalTrials.gov data highlights a dearth of clinical trials within ophthalmology despite a growing number of studies in other medical subfields. ConclusionsExtracellular vesicles (EVs) remain a promising substrate for both the identification and treatment of vision-threatening diseases. A better understanding of the current landscape of research and funding trends should help to inform future funding and translational efforts.

Diffusion Magnetic Resonance Imaging and Human Reward System Research: A Bibliometric Analysis and Visualisation of Current Research Trends.

The human reward system has been extensively studied using neuroimaging. This bibliometric analysis aimed to determine the global trend in diffusion magnetic resonance imaging (dMRI) and human reward research in terms of the number of documents, the most active countries and their collaborating countries, the top journals and institutions, the most prominent authors and most cited articles, and research hotspots. The research datasets were acquired from the Scopus database. The search terms used were 'reward' AND 'human' AND 'diffusion imaging' OR 'diffusion tensor imaging' OR 'diffusion MRI' OR 'diffusion-weighted imaging' OR 'tractography' in the abstract, article title and keywords. A total of 336 publications were analysed using Harzing's Publish or Perish and VOSviewer software. The results revealed an upward trend in the number of publications with the highest number of articles in 2020 and 2022. Most publications were limited to countries, authors, and institutions in the USA, China and Europe. Bracht, Coenen, Wiest, Federspiel and Feng were among the top authors from Switzerland, Germany and the UK. Neuroimage, Neuroimage Clinical, Frontiers in Human Neuroscience, Human Brain Mapping, and the Journal of Neuroscience were the top journals. Among the top articles, six were reviews and four were original articles, while the top keywords in human reward research were 'diffusion MRI', 'adolescence', 'depression' and 'reward-related brain areas'. These findings may serve as researchers' references to find collaborative authors, relevant journals, cooperative countries/institutions, and hot topics related to dMRI and reward research.

Global research trends in the treatment of squamous cell carcinoma over the past decade: A bibliometric analysis

ObjectiveThis study aims to identify research trends and hot spots in the treatment of Squamous Cell Carcinoma (SCC) over the past decade using bibliometric analysis. MethodsData were extracted from the Web of Science Core Collection, including Science Citation Index Expanded (SCI-Expanded), Social Sciences Citation Index (SSCI), and Emerging Sources Citation Index (ESCI). The data underwent manual cleaning to remove inaccuracies and irrelevancies, followed by transformation into an analyzable format via the VOSviewer software. This tool facilitated the visualization of co-occurrence networks and keyword maps, highlighting the relationships and the prominence of research themes. ResultsA total of 46448 authors from 7374 institutions across 108 countries contributed to the literature, reflecting a broad international effort. The study documented a consistent increase in SCC-related publications up to 2020, with some variability in subsequent years. Notably, the United States, Germany, China, the United Kingdom, and France were predominant in this research area. The University of Texas MD Anderson Cancer Center and the University of Pittsburgh were leading contributors in terms of publication volume and citation impact. Key journals included ‘Oral Oncology’ and ‘Clinical Cancer Research’, which were central to the dissemination of high-impact research. Our keyword analysis identified three major research clusters focused on molecular mechanisms, clinical treatment strategies, and emerging interests in immunotherapeutic approaches. ConclusionsThe extensive collaboration and the increasing publication trend underscore the growing global commitment to advancing SCC treatment. The high level of engagement from top institutions and the concentration of research in influential journals reflect the field's dynamic evolution towards innovative and effective treatment modalities. This study provides a valuable overview for researchers, guiding future studies towards areas of high impact and emerging trends in SCC treatment. The findings advocate for enhanced focus on personalized medicine and combination therapies, which are poised to improve outcomes for SCC patients.

Bibliometric analysis and visualisation of research hotspots and frontiers on omics in osteosarcoma

Background/objectiveOmics technology has become a widely applied biological science that can be used to study the etiology, pathogenesis, and treatment of osteosarcoma(OS). Bibliometric analysis is still blank in this field.This study aimed to access the trends and hotspots of omics in OS research through the bibliometric analysis method.MethodsRelevant articles and reviews from 1999 to 2023 were retrieved from the Web of Science Core Collection. The data were processed with CiteSpace, and some graphs were generated with Graphpad, VOSviewer, Scimago Graphica, Bibliometrix and R Studio.ResultsA total of 1581 papers were included. China (569, 36.0%) and the United States (523, 33.1%) took the dominant position in the number of published papers, and the links between countries most frequently occurred between North America and East Asia, and between Australia and Europe. Top institutions with the highest number of publications were almost located in the United States, with The University of Texas MD Anderson Cancer Center contributing the most (44, 2.78%). Among the researchers in this field, Cleton-Jansen AM was the author with the highest number of articles in the field (20, 1.27%). According to the keyword cluster analysis, most studies focused on the “comparative genomic hybridization” before 2012. The latest surge words “tumor microenvironment” and “immune infiltration” in the keyword heatmap indicate future research directions.ConclusionOur study provided the current status of the omics research in OS on a global level and the hottest directions. The field of omics in OS was developing rapidly, and the main focuses of research were revealing the characteristics of tumor microenvironment of OS and how to activate the immune system to fight cancer cells. Research on the immune microenvironment and its relationship with genetic aberrations of OS will be a priority in the future.