Publication Output Research Articles

Minimal invasive extracorporeal circulation: A bibliometric network analysis of the global scientific output.

Minimal Invasive Extracorporeal Circulation (MiECC) has recently emerged as a more 'physiologic' alternative to conventional extracorporeal circulation. However, its adoption is still limited due to lack of robust scientific evidence and ongoing debate about its potential benefits. This bibliometric analysis aims to analyze the scientific articles on MiECC and identify current research domains and existing gaps to be addressed in future studies. Pertinent articles were retrieved from the Web of Science (WOS) database. The search string included 'minimal invasive extracorporeal circulation' and its synonyms. The VOSviewer (version 1.6.17) software was used to conduct comprehensive analyses. Semantic and research networks, bibliographic coupling and journal analysis were performed. Of the 1777 articles identified in WOS, 292 were retrieved. The trend in publications increased from 1991 to date. Most articles focused on transfusion requirements, acute kidney injury, inflammatory markers and cytokines, inflammation and delirium, though the impact of intraoperative optimal fluid and hemodynamic management as far as the occurrence of postoperative complications were poorly addressed. The semantic network analysis found inter-connections between the terms "cardiopulmonary bypass", "inflammatory response", and "cardiac surgery". Perfusion contributed the highest number of published documents. The most extensive research partnerships were between Germany, Greece, Italy, and England. Notwithstanding the scientific community's growing interest in MiECC, crucial topics (i.e., the best anesthetic management and intraoperative need for inotropes, vasopressors and fluids) still require more comprehensive exploration. This investigation may prove to be a useful tool for clinicians, scientists, and students concerning global publication output and for the use of MiECC in cardiac surgery.

Artificial intelligence empowering rare diseases: a bibliometric perspective over the last two decades

ObjectiveTo conduct a comprehensive bibliometric analysis of the application of artificial intelligence (AI) in Rare diseases (RDs), with a focus on analyzing publication output, identifying leading contributors by country, assessing the extent of international collaboration, tracking the emergence of research hotspots, and detecting trends through keyword bursts.MethodsIn this bibliometric study, we identified and retrieved publications on AI applications in RDs spanning 2003 to 2023 from the Web of Science (WoS). We conducted a global research landscape analysis and utilized CiteSpace to perform keyword clustering and burst detection in this field.ResultsA total of 1501 publications were included in this study. The evolution of AI applications in RDs progressed through three stages: the start-up period (2003–2010), the steady development period (2011–2018), and the accelerated growth period (2019–2023), reflecting this field’s increasing importance and impact at the time of the study. These studies originated from 85 countries, with the United States as the leading contributor. “Mutation”, “Diagnosis”, and “Management” were the top three keywords with high frequency. Keyword clustering analysis identified gene identification, effective management, and personalized treatment as three primary research areas of AI applications in RDs. Furthermore, the keyword burst detection indicated a growing interest in the areas of “biomarker”, “predictive model”, and “data mining”, highlighting their potential to shape future research directions.ConclusionsOver two decades, research on the AI applications in RDs has made remarkable progress and shown promising results in the development. Advancing international transboundary cooperation is essential moving forward. Utilizing AI will play a more crucial role across the spectrum of RDs management, encompassing rapid diagnosis, personalized treatment, drug development, data integration and sharing, and continuous monitoring and care.

Two decades of progress in glioma methylation research: the rise of temozolomide resistance and immunotherapy insights.

This study aims to systematically analyze the global trends in glioma methylation research using bibliometric methodologies. We focus on identifying the scholarly trajectory and key research interests, and we utilize these insights to predict future research directions within the epigenetic context of glioma. We performed a comprehensive literature search of the Web of Science Core Collection (WoSCC) to identify articles related to glioma methylation published from January 1, 2004, to December 31, 2023. The analysis included full-text publications in the English language and excluded non-research publications. Analysis and visualization were performed using GraphPad Prism, CiteSpace, and VOSviewer software. The search identified 3,744 publications within the WoSCC database, including 3,124 original research articles and 620 review articles. The research output gradually increased from 2004 to 2007, followed by a significant increase after 2008, which peaked in 2022. A minor decline in publication output was noted during 2020-2021, potentially linked to the coronavirus disease 2019 pandemic. The United States and China were the leading contributors, collectively accounting for 57.85% of the total research output. The Helmholtz Association of Germany, the German Cancer Research Center (DKFZ), and the Ruprecht Karls University of Heidelberg were the most productive institutions. The Journal of Neuro-Oncology led in terms of publication volume, while Neuro-Oncology had the highest Impact Factor. The analysis of publishing authors revealed Michael Weller as the most prolific contributor. The co-citation network analysis identified David N. Louis's article as the most frequently cited. The keyword analysis revealed "temozolomide," "expression," "survival," and "DNA methylation" as the most prominent keywords, while "heterogeneity," "overall survival," and "tumor microenvironment" showed the strongest citation bursts. The findings of this study illustrate the increasing scholarly interest in glioma methylation, with a notable increase in research output over the past two decades. This study provides a comprehensive overview of the research landscape, highlighting the importance of temozolomide, DNA methylation, and the tumor microenvironment in glioma research. Despite its limitations, this study offers valuable insights into the current research trends and potential future directions, particularly in the realm of immunotherapy and epigenetic editing techniques.

Implementing a multidimensional faculty promotion matrix at Saint George University of Beirut Faculty of Medicine

This paper outlines the development and implementation of a multidimensional faculty promotion matrix at Saint George University of Beirut Faculty of Medicine (SGUB FM). The matrix, designed to provide a comprehensive and equitable evaluation of faculty across multiple dimensions, is anchored in six pillars: Research, Clinical Practice, Teaching Effort, Administrative Effort, Community Work, and Extra Degrees and Awards. These pillars encompass diverse components, including publication output, clinical activities, teaching responsibilities, administrative roles, community engagement, and additional qualifications, with each metric normalized using z-scores for fair comparison. This matrix analyzed the CVs and relevant documents of 112 faculty members, demonstrating its efficacy in providing equitable evaluation regardless of gender or rank. The results showed no significant differences in promotion rates among various faculty ranks, highlighting the matrix’s fairness and impartiality. The study also explores the relationship between faculty ranks and various performance metrics, revealing patterns in research productivity, clinical practice, and community engagement that escalate with higher academic ranks. SGUB FM's approach aligns its curricular designs and instructional implementations with international benchmarks, particularly those set by the Association of American Medical Colleges (AAMC), ensuring global standard compliance while catering to the institution's unique context. The matrix serves not only as an evaluation tool but also as a catalyst for faculty excellence and professional development. This case study offers valuable insights for medical institutions developing inclusive promotion criteria and emphasizes the importance of holistic evaluation frameworks in fostering academic excellence and professional growth.

Scientific Production Dynamics in mHealth for Diabetes: Scientometric Analysis.

The widespread use of mobile technologies in health care (mobile health; mHealth) has facilitated disease management, especially for chronic illnesses such as diabetes. mHealth for diabetes is an attractive alternative to reduce costs and overcome geographical and temporal barriers to improve patients' conditions. This study aims to reveal the dynamics of scientific publications on mHealth for diabetes to gain insights into who are the most prominent authors, countries, institutions, and journals and what are the most cited documents and current hot spots. A scientometric analysis based on a competitive technology intelligence methodology was conducted. An innovative 8-step methodology supported by experts was executed considering scientific documents published between 1998 and 2021 in the Science Citation Index Expanded database. Publication language, publication output characteristics, journals, countries and institutions, authors, and most cited and most impactful articles were identified. The insights obtained show that a total of 1574 scientific articles were published by 7922 authors from 90 countries, with an average of 15 (SD 38) citations and 6.5 (SD 4.4) authors per article. These documents were published in 491 journals and 92 Web of Science categories. The most productive country was the United States, followed by the United Kingdom, China, Australia, and South Korea, and the top 3 most productive institutions came from the United States, whereas the top 3 most cited articles were published in 2016, 2009, and 2017 and the top 3 most impactful articles were published in 2016 and 2017. This approach provides a comprehensive knowledge panorama of research productivity in mHealth for diabetes, identifying new insights and opportunities for research and development and innovation, including collaboration with other entities, new areas of specialization, and human resource development. The findings obtained are useful for decision-making in policy planning, resource allocation, and identification of research opportunities, benefiting researchers, health professionals, and decision makers in their efforts to make significant contributions to the advancement of diabetes science.

Current and future research directions in cellular metabolism of colorectal cancer: A bibliometric analysis

The primary aim of this study was to analyze the evolving trends and key focal points in research on cellular metabolism of colorectal cancer (CRC). Relevant publications on cellular metabolism in CRC were sourced from the Science Citation Index Expanded within the Web of Science Core Collection database. Bibliometric analysis and visualization were conducted using VOSviewer (version 1.6.18) software and CiteSpace 6.1.R6 (64-bit) Basic. A comprehensive compilation of 4722 English-language publications, covering the period from January 1, 1991 to December 31, 2022, was carefully identified and included in the analysis. Among the authors, “Ogino, Shuji” contributed the most publications in this field, while “Giovannucci, E” garnered the highest number of citations. The journal “Cancer Research ” ranked first in both publication volume and citations. Institutionally, “Shanghai Jiao Tong University” emerged as the top contributor in terms of published articles, while “Harvard University” led in citation impact. In country-based analysis, the United States held the top position in both publication output and citations, closely followed by China. The increasing recognition of the significance of cellular metabolism in CRC underscores its potential for novel therapeutic approaches aimed at improving CRC management and prognosis.

Exploring Sustainable Strategies for Oceanic Development: A Blue Growth Perspective

The European Union is leading the Blue Growth initiative as a strategic approach to increasing economic prosperity in Europe's seas despite today's challenges. Drawing on the EU's Green Growth initiative, Blue Growth extends sustainability principles to marine areas, solidifying commitments to the sustainable management of marine ecosystems and the promotion of technological innovations. This initiative focuses on sectors such as energy, aquaculture, tourism and biotechnology in coastal and offshore environments. Blue Growth has increased in importance following major events such as Rio+20 and has had a significant impact on ocean and marine resource management practices. In this study, we conduct a comprehensive bibliometric analysis to trace the trajectory of global research on blue growth across science, policy, and the blue economy over the 17-year period since the term's inception in 2007. We analyze blue growth using bibliometric techniques. Examining the blue growth literature, identifying key contributors, collaborations, research trends and gaps. Our analysis covers publication outputs, institutional affiliations, author collaborations, research themes, and alignment with the Sustainable Development Goals (SDGs). Our findings reveal a significant increase in blue growth publications, especially after 2013, highlighting its increasing importance. Environmental Science and Ecology are emerging as primary research areas reflecting a focus on sustainability. We observe intense collaborations between countries and institutions, with significant contributions from the UK, USA, Germany, Italy and Spain. Blue growth research is aligned with several Sustainable Development Goals, particularly SDG 14 (Life Below Water) and SDG 15 (Life on Land), highlighting marine conservation and land-sea ecosystem connectivity. Keyword analysis underlines the interdisciplinary nature of blue growth research, highlighting key themes such as the blue economy, aquaculture and sustainable development. Institutional analysis identifies the University of Exeter and CNR as key contributors, while country-level analysis highlights global collaboration networks. Citation analysis reveals the intellectual structure of blue growth research, with marine biology, oceanography, sustainability science, and climate change among the prominent themes.

A Bibliometric Analysis of Publications by Anesthesia Departments in the United Arab Emirates.

The scholarly academic productivity and publication activities of anesthesia departments within the United Arab Emirates (UAE) are currently unknown. We undertook a bibliometric study to quantify UAE anesthetists' contributions to various categories of articles in peer-reviewed high-impact anesthesia journals. Using a PubMed-based analysis, we studied the contribution of United Arab Emirates (UAE) anesthetists towards publications in eight high-impact anesthesia journals (represented in the database for 2023 from Journal Citation Reports®, Thomson Scientific) and four anesthesia subspecialty journals over five years ranging from 2019 to 2023. Additionally, we searched each journal's website for publications related to the individual region of the UAE. We included all categories of articles except correspondences (not free-standing), meeting abstracts, and book reviews. We analyzed the following subsets comprehensively: region of the UAE, author's affiliation to the anesthesia department, publication focus, first authorship, and corresponding author status. UAE anesthetists were involved in 31 publications during the five-year study period. Over 25% of publications originated from the UAE; others were international collaborations. Overall, the anesthesia publication rate in the UAE was less than one per year for one million inhabitants. Only five hospitals contributed more than one publication. The Abu Dhabi Emirate's two main cities (Abu Dhabi and Al Ain) contributed 71% of publications. The UAE anesthetists' primary publication focus was regional anesthesia, medication error, and neurosurgical anesthesia in either the review or original articles category. Our study reveals that the current academic publication output from the anesthesia departments in the UAE is minimal. Our analysis suggests the need for increased scholarly activity, which could significantly advance anesthesia research and practice in the UAE.

The changes in zoological publication rates and focal subdisciplines between 1960 and 2022.

Since ancient times, zoology, as the branch of biology dealing with animals, has been a cornerstone of natural science and has developed substantially over the last century. We conducted a bibliometric analysis using structural topic modeling (STM) to determine changes in the representation of principal zoological subdisciplines in the literature between 1960 and 2022. We collated a corpus of 217414 articles from 88 top-ranked zoology journals and identified three main fields: (i) ecology, (ii) evolution, and (iii) applied research. Within these, we identified 10 major subdisciplines. The number of studies published per year grew from 118 in 1960 to 6635 in 2022. Macroscale-related subdisciplines increased while classical and traditional subdisciplines decreased. Mammals (34.4%) and insects (18.1%) were the dominant taxa covered, followed by birds (15.2%) and fish (8.0%). Research on mammals, insects, and fish involved a broad range of subdisciplines, whereas studies of birds focused on ecological subdisciplines. Most publications were from the United States, followed by the United Kingdom, Germany, Canada, Australia, China, and Japan, with two developing countries, China and South Africa among the top 15 countries. There were different subdiscipline biases between countries, and the gross domestic product of each country correlated positively with its publication output (R2 = 0.681). We discuss our findings in the context of advances in technological innovations and computing power, as well as the emergence of ecology as a formal sister discipline, driven by changing environmental pressures and societal values. We caution that valuable publications from traditional zoological fields must not be completely supplanted by more contemporary topics and increasingly sophisticated analyses.

Trends and frontiers in signal amplification for aptamer-based tumor detection: A bibliometric analysis.

Malignant tumors are one of the leading causes of death worldwide, imposing a substantial economic and social burden. Early detection is the key to improving cure rates and reducing mortality rates, which requires the development of sensitive early detection technologies. Signal amplification techniques play a crucial role in aptamer-based early detection of tumors and are increasingly garnering attention from researchers. To investigate the current research status, developmental trajectories, and hotspots in signal amplification for aptamer-based tumor detection through bibliometric analysis. English publications pertaining to signal amplification in aptamer-based tumor detection were retrieved from the Web of Science Core Collection database. VOSviewer and CiteSpace software were employed to analyze various information within this field, including countries, institutions, authors, co-cited authors, journals, co-cited journals, cited references, and keywords. A total of 757 publications were included in this study. China accounted for 85.47% of all publications, with Nanjing University (China) emerging as the institution with the highest publication output. The most influential authors and journals were Hasanzadeh M. from Iran and "Biosensors and Bioelectronics", respectively. Exosomes and carcinoembryonic antigen (CEA) stood out as the most researched tumor-related molecules. Currently, the predominant signal amplification technique, nanomaterial, and signal transduction method were identified as hybridization chain reactions, gold nanoparticles, and electrochemical methods, respectively. Over the past 3 years, exosomes, CEA, electrochemical biosensors, and nanosheets have emerged as research hotspots, exhibiting a robust burst of intensity. This study is the first bibliometric analysis of literature on signal amplification in aptamer-based tumor detection and elucidates the current status, hotspots, and prospective research directions within this realm. Additionally, it provides an important reference for researchers.

The evolution of research on digital communication and social protests: A bibliometric analysis

The rise of digital communication technologies has significantly changed how people participate in social protests. Digital platforms—such as social media—have enabled individuals to organize and mobilize protests on a global scale. As a result, there has been a growing interest in understanding the role of digital communication in social protests. This manuscript provides a comprehensive bibliometric analysis of the evolution of research on digital communication and social protests from 2008 to 2022. The study employs bibliometric methodology to analyze a sample of 260 research articles extracted from the SCOPUS core collection. The findings indicate a significant increase in scholarly investigations about digital communication and its role in social protest movements during the past decade. The number of publications on this topic has increased significantly since 2012—peaking in 2022—indicating a heightened interest following COVID-19. The United States, United Kingdom, and Spain are the leading countries in publication output on this topic. The analysis underlines scholars employing a range of theoretical perspectives—including social movement theory, network theory, and media studies—to identify the relationship between digital communication and social protests. Social media platforms—X (Twitter), Facebook, and YouTube—are the most frequently studied and utilized digital communication tools engaged in social protests. The study concludes by identifying emerging topics relating to social movements, political communication, and protest, thereby suggesting gaps and opportunities for future research.

Research trends and hotspots for frontotemporal dementia from 2000 to 2022: a bibliometric analysis.

Frontotemporal dementia (FTD) is a neurodegenerative disease with clinical, pathological, and genetic heterogeneity. FTD is receiving increasing attention because it is the second leading cause of early-onset dementia after Alzheimer's disease. This study aimed to analyse the research trends and hotspots of FTD from 2000 to 2022 using bibliometrics. Papers related to FTD from 2000 to 2020 were systematically searched through the Web of Science Core Collection (WOSCC). Citespace and Vosviewer software were used to visually analyse the retrieved data of countries/regions, institutions, journals, authors, references, and keywords. Microsoft Excel was used to generate the annual publications and growth trends. There were 10,227 papers included in the bibliometric analysis. The annual publication output on FTD has increased significantly from 2000 to 2022, with papers published in 934 academic journals and 87 countries/regions. The Journal of Alzheimer's Disease was the most popular, with 488 papers about FTD. The most productive countries/regions, institutions, and authors are the United States (n = 4,037), the University of California San Francisco (n = 687), and Miller, Bruce L. (n = 427), respectively. The article by Katya Rascovsky and her colleagues published on Brain in 2011 was the most cocited paper, with 625 citations. The research hotspots in this field were the clinical diagnostic criteria, subdivision, and pathological mechanism of FTD, such as tau protein, chromosome 17, progranulin, TDP-43, and C9orf72. The future research direction is based on biomarkers and pathological mechanisms to diagnose and differential diagnose FTD from the aspects of behavior, neuropathology, neuroimaging, and serum markers.

Research Hotspots and Trends of Interventions for Sarcopenic Obesity: A Bibliometric Analysis.

Sarcopenic obesity, characterized by both obesity and sarcopenia, significantly impacts health and independence of affected individuals. There is an urgent need to explore effective strategies for addressing or preventing sarcopenic obesity. An initial critical step is to promptly assess the impact of academic research in this field, considering factors such as geographical regions, authors, journals, and institutions. It is also essential to analyze current trends and identify potential areas that may inspire future researchers to conduct further studies, ultimately improving public health outcomes for individuals with sarcopenic obesity. To achieve this, bibliometric research was conducted using the Web of Science Core Collection database to identify English language articles and reviews focusing on sarcopenic obesity interventions published between January 1, 2004, and June 15, 2024, followed by a literature review. A total of 929 English-language articles were collected, consisting of 645 research articles and 284 reviews. Research output in the field has shown significant growth since 2017, reaching a peak of 139 papers in 2022. The United States leads in publication output with 234 papers and a total of 13,971 citations, highlighting substantial international collaboration. Both the United States and Europe are recognized as key academic hubs for sarcopenic obesity intervention research, characterized by robust academic interactions. Moreover, there has been a notable increase in publication volume from China, South Korea, and Japan. Noteworthy authors in this field include Boirie Y from Université Clermont Auvergne in France, Prado CM from the University of Alberta in Canada, Cruz-Jentoft AJ from Hospital Universitario Ramon y Cajal in Spain, and Prado CM from the University of Alberta, known for their high citation count. The University of Alberta leads in the number of publications, while the University of Verona in Italy leads in citation frequency. Journals with higher publication volumes in sarcopenic obesity intervention include Nutrients, Clinical Nutrition, and Journal of Cachexia Sarcopenia and Muscle. Among the top 20 keywords, the most relevant interventions for sarcopenic obesity are exercise, nutrition, resistance training, physical activity, and muscle strength.The primary evidence currently available suggests that resistance training is the most effective method for enhancing muscle strength in sarcopenic obesity patients. Additionally, combining protein supplementation with resistance exercise has shown encouraging results in reducing fat mass in these individuals. To progress in this field, it is crucial to foster collaboration among countries, regions, and academic institutions, promoting multidisciplinary partnerships.

Bibliometric analysis of neuroinflammation and Alzheimer's disease.

Alzheimer's disease (AD) is the predominant cause of dementia on a global scale, significantly impacting the health of the elderly population. The pathogenesis of AD is closely linked to neuroinflammation. The present study employs a bibliometric analysis to examine research pertaining to neuroinflammation and AD within the last decade, with the objective of providing a comprehensive overview of the current research profile, hotspots and trends. This research conducted a comprehensive review of publications within the Science Citation Index Expanded of the Web of Science Core Collection Database spanning the years 2014 to 2024. Bibliometric analyses were performed using VOSviewer (version 1.6.19) and CiteSpace (version 6.3.R1) software to visualize data on countries, institutions, authors, journals, keywords, and references. A total of 3,833 publications on neuroinflammation and AD were included from January 2014 to January 2024. Publications were mainly from the United States and China. Zetterberg, Henrik emerged as the author with the highest publication output, while Edison, Paul was identified as the most cited author. The most productive journal was Journal of Alzheimers Disease, and the most co-cited was Journal of Neuroinflammation. Research hotspot focused on microglia, mouse models, oxidative stress, and amyloid-beta through keyword analysis. Additionally, keywords such as blood-brain barrier and tau protein exhibited prolonged citation bursts from 2022 to 2024. This study provides a comprehensive review of the last 10 years of research on neuroinflammation and AD, including the number and impact of research findings, research hotspots, and future trends. The quantity of publications in this field is increasing, mainly in the United States and China, and there is a need to further strengthen close cooperation with different countries and institutions worldwide. Presently, research hotspots are primarily concentrated on microglia, with a focus on inhibiting their pro-inflammatory responses and promoting their anti-inflammatory functions as a potential direction for future investigations.

Bibliometric and literature synthesis on assisted natural regeneration: an evidence base for forest and landscape restoration in the tropics

Assisted Natural Regeneration (ANR) is a set of restoration strategies and interventions primarily based on natural regeneration, aimed at accelerating succession and providing multiple benefits in degraded ecosystems and landscapes. These strategies have the potential to significantly contribute to global Forest and Landscape Restoration efforts. However, ANR faces challenges due to limited recognition, support, and formal integration into relevant sectors and restoration policies, particularly in tropical regions. The dearth of evidence-based syntheses further compounds these challenges. To address this gap, a bibliometric analysis of selected scientific publications on ANR (n = 208) from 1987 to 2023 was conducted, using Web of Science and Google Scholar databases. A systematic review was undertaken, using a subset of original research articles (n = 44), to synthesize published data on interventions, contexts, costs, and benefits of ANR and to identify major knowledge gaps. Analysis of bibliometric metadata revealed an increasing annual output of ANR publications in over 80 journals, encompassing various document types and authors from over 40 countries. Despite ANR’s formal emergence in the Philippines, Brazil has taken the lead in both its research and implementation, and international collaboration in ANR research has grown. While ANR research focused mostly on ecosystem services and ecological outcomes, social aspects have been poorly studied. Diverse ANR interventions align not only with ecological restoration but also with integrated land management, biodiversity conservation, forest and landscape restoration, and forest management. The cost-effectiveness of ANR implementation, especially in restoration for carbon storage, exhibited considerable variability when compared to active tree planting, and varied with intervention types, time, land use history, and long-term costs. This synthesis provides critical insights and evidence to enhance the effective integration of ANR into restoration and reforestation programs and policies.

Publication Output of Academic Librarians in University Libraries in Delta State, Nigeria

Publication Output of Academic Librarians in University Libraries in Delta State, Nigeria

Impact of COVID-19 on Indian biomedical research: A bibliometric analysis using online data from 2017 to 2022

Objective. The global pandemic caused by the SARS-CoV-2 virus has led to a notable surge in research productivity across many academic disciplines, except research specifically focused on the virus. A significant increase in published research articles evidences this. In this study, we have analyzed the impact of the pandemic on recent publication trends in India by comparing data from three years before the pandemic with data from three years following the pandemic. Additionally, we have considered various factors that may have influenced this change. Methods. The Scopus database was searched for biomedical publications from January 1st, 2017, to December 31st, 2022, with India's country or territory specified as the limiting factor. The period was then divided into two parts: pre- and post-COVID-19. The pre-COVID-19 period spanned from 2017 to 2019, while the post-COVID-19 period spanned from 2020 to 2022. The publication trends in all subject areas across the periods above (pre- and post-COVID-19) were analyzed using appropriate nonparametric statistical tests and graphics. Results. In the specified period, India produced 231,370 research documents, which exceeded that of Australia (214,750) and France (207,220). However, it was lower than that of the top-performing publishing countries. The United States (148,448), China (71,484), the United Kingdom (42,446), Germany (31,727), Italy (7183), Japan (251,357), and Canada (241,759) also demonstrated notable research output. The discrepancy in research output between the pre-and post-pandemic periods was statistically significant (P < 0.001; Wilcoxon rank sum test, Z = 4.107). The publication output from the top institutions was significantly higher (P < 0.001, Wilcoxon signed-rank test, Z = 8.115). The statistically significant increase persisted in subgroup analysis for public and privately funded medical institutions, including medical colleges (P < 0.01). However, no significant difference in the rise in publication output pre- vs. post-COVID was observed when public institutions, private institutions, and medical colleges were mutually compared (P = 0.434, Kruskal-Wallis test). Conclusion. The global pandemic of the novel coronavirus (2019-nCoV) benefitted India's research output of biomedical disciplines. This effect was observed in public and privately funded medical institutions and academic centers. However, when the publication figures from these institutions were compared, no significant difference in the rise due to the 2019-nCoV pandemic was seen.

Trends in research on cochlear implantation with inner ear malformation: a bibliometric and visualization analysis from 1986 to 2024.

The aim of this study was to conduct a bibliometric and visualization analysis of research on cochlear implantation (CI) for inner ear malformations (IEMs) from 1986 to 2024. A comprehensive literature search was performed using the Web of Science Core Collection Database, resulting in the identification of 431 relevant publications. Various data analysis and visualization tools, including VOSviewer, CiteSpace, and Bibliometrix, were utilized to analyze annual publication outputs, countries/regions and institutions, authors, journals and studies, keywords, and theme evolution. The study revealed an overall increasing trend in research output on CI for IEMs, with significant contributions from countries such as the United States, China, Turkey, Germany, and Italy. The analysis also identified key authors, research teams, journals, and studies that have made substantial contributions to the field. Furthermore, the study highlighted important research hotspots and trends, such as the classification of IEMs, outcomes of CI for IEMs, and the management of pediatric patients with IEMs. The findings of this study provide a comprehensive overview of the research landscape surrounding CI for IEMs. The results serve as a basis for future research topic selection and emphasize the need for enhanced international collaboration and the publication of high-impact research to further advance this field.

Unveiling the frontiers of potato disease research through bibliometric analysis.

Research on potato diseases had been widely reported, but a systematic review of potato diseases was lacking. Here, bibliometrics was used to systematically analyze the progress of potato disease. The publications related to "potato" and "disease" were searched in the Web of Science (WOS) from 2014 to 2023. The results showed that a total of 2095 publications on potato diseases were retrieved, with the annual publication output increasing year by year at a growth rate of 8.52%. The main countries where publications were issued were the United States, China, and India. There was relatively close cooperation observed between China, the United States, and the United Kingdom in terms of international collaboration, while international cooperation by India was less extensive. Based on citation analysis and trending topics, potential future research directions include nanoparticles, which provides highly effective carriers for biologically active substances due to their small dimensions, extensive surface area, and numerous binding sites; machine learning, which facilitates rapid identification of relevant targets in extensive datasets, thereby accelerating the process of disease diagnosis and fungicide innovation; and synthetic communities composed of various functional microorganisms, which demonstrate more stable effects in disease prevention and control.

Research into super-resolution in medical imaging from 2000 to 2023: bibliometric analysis and visualization.

Super-resolution (SR) refers to the use of hardware or software methods to enhance the resolution of low-resolution (LR) images and produce high-resolution (HR) images. SR is applied frequently across a variety of medical imaging contexts, particularly in the enhancement of neuroimaging, with specific techniques including SR microscopy-used for diagnostic biomarkers-and functional magnetic resonance imaging (fMRI)-a neuroimaging method for the measurement and mapping of brain activity. This bibliometric analysis of the literature related to SR in medical imaging was conducted to identify the global trends in this field, and visualization via graphs was completed to offer insights into future research prospects. In order to perform a bibliometric analysis of the SR literature, this study sourced all publications from the Web of Science Core Collection (WoSCC) database published from January 1, 2000, to October 11, 2023. A total of 3,262 articles on SR in medical imaging were evaluated. VOSviewer was used to perform co-occurrence and co-authorship analysis, and network visualization of the literature data, including author, journal, publication year, institution, and keywords, was completed. From 2000 to 2023, the annual publication volume surged from 13 to 366. The top three journals in this field in terms of publication volume were as follows: (I) Scientific Reports (86 publications), (II) IEEE Transactions on Medical Imaging (74 publications), and (III) IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (56 publications). The most prolific country, institution, and author were the United States (1,017 publications; 31,301 citations), the Chinese Academy of Sciences (124 publications; 2,758 citations), and Dinggang Shen (20 publications; 671 citations), respectively. A cluster analysis of the top 100 keywords was conducted, which revealed the presence of five co-occurrence clusters: (I) SR and artificial intelligence (AI) for medical image enhancement, (II) SR and inverse problem processing concepts for positron emission tomography (PET) image processing, (III) SR ultrasound through microbubbles, (IV) SR microscopy for Alzheimer and Parkinson diseases, and (V) SR in brain fMRI: rapid acquisition and precise imaging. The most recent high-frequency keywords were deep learning (DL), magnetic resonance imaging (MRI), and convolutional neural networks (CNNs). Over the past two decades, the output of publications by countries, institutions, and authors in the field of SR in medical imaging has steadily increased. Based on bibliometric analysis of international trends, the resurgence of SR in medical imaging has been facilitated by advancements in AI. The increasing need for multi-center and multi-modal medical images has further incentivized global collaboration, leading to the diverse research paths in SR medical imaging among prominent scientists.