Keyword Co-occurrence Analysis Research Articles

Examining Transformational Leadership: A Thematic and Bibliometric Literature Review

In the current era of digitalization, companies across all sectors are undergoing swift and significant transformations. Transformational leadership is receiving increased scholarly attention due to its distinct traits that differentiate it from conventional leadership methods. This study aims to assess the efficacy and theoretical underpinnings of transformative leadership. In order to accomplish this objective, the present study undertakes a thorough and methodical examination of 3195 scientific articles pertaining to transformative leadership. This inquiry employs the SPAR-4-SLR procedure and utilizes several bibliometric analytic methods such as performance analysis and science mapping. The study incorporates many approaches such as content analysis, keyword co-occurrence analysis, and bibliographic coupling. This study provides an analysis of performance measures, such as publishing and citation patterns, notable publications and authors, and the prevailing concepts and subjects within the intellectual framework of the area. Additionally, the study offers recommendations for future research in this area. Hence, there is a need for research on the concept of "green intellectual capital". Additionally, it can be worth contemplating a particular domain that holds the possibility for transformative leadership.

Effects of exosomes and inflammatory response on tumor: a bibliometrics study and visualization analysis via CiteSpace and VOSviewer.

Tumor is a new organism formed by abnormal hyperplasia of local tissue cells under the action of various tumorigenic factors. Inflammation plays a decisive role in inducing tumorigenesis, promoting tumor development, invasion and migration. More and more evidence indicate that exosomes are involved in regulating the formation of tumor microenvironment in the process of proinflammatory carcinogenesis, leading to the stimulation of anti-tumor immune response or systemic immunosuppression, and exosomes play a crucial role in the development of tumor. The articles on tumor-derived exosomes and inflammatory responses from January 2005 to January 2024 were collected through Web of Science (WOS), and the inclusion criteria were "Article", "Review Article" and "Early Access". Articles obtained after excluding "Book Chapters", "Editorial Material", "Proceeding Paper", "Meeting Abstract" and "Retracted Publication". Bibliometrics and visualization analysis were carried out on the obtained articles using CiteSpace6.2.R6 and VOSviewer1.6.20. Total of 703 articles were included. The number of published documents showed a fluctuating growth trend year by year. A total of 61 countries have participated in the research on the effects of exosomes and inflammatory responses on tumors, among which China and the United States have the largest influence in this field. The obtained articles have been published in 60 journals around the world, among which PLOS ONE and NAT REV IMMUNOL are the journals with the most published articles and the highest co-citations respectively. The article from French author THERY C was cited the most (202 times). As a major researcher on the basic function of exosomes, THERY C established the gold standard for extraction, separation and identification of exosomes, and found that exosomes promote tumor metastasis through direct regulation of miRNA. Her research has had a huge impact on the field. Keyword co-occurrence analysis indicate that extracellular vesicles, inflammation, cancer, miRNAs, mesenchymal stem cells, drug delivery, gastric cancer and circulating endothelial microparticles are the research hotspot at present stage. The main keywords of the cluster analysis show that extracellular vesicles, human papilloma virus, myeloid cells, tumor macro-environment are the current research hotspots and frontier. The research hotspots have developed over time from the time chart of keywords and clustering, especially after 2016, exosomes have established extensive links with drug delivery, cancer treatment, inflammatory response and other fields. Tumor-derived exosomes stimulate receptor cells to secrete pro-inflammatory cytokines and growth factors, enabling immune and inflammatory cells to perceive the intracellular environment of cancer cells even when cancer cells do not express any tumor-specific antigens. For example, in anoxic environment, cancer cells can secrete exosomes containing pro-inflammatory factors to promote the invasion and metastasis of cancer cells. In the complex tumor microenvironment, both tumor cells and various stromal cells will secrete specific exosomes, and promote the development of tumors through various ways, so that tumor cells have drug resistance, and bring adverse effects on the clinical treatment of tumor patients. MicroRNAs and long noncoding RNA as hot keywords play important roles in regulating and mediating tumor development, and their specificity makes them important biomarkers for cancer prediction and diagnosis. Highlighting word analysis shows that microRNAs secreted by leukemia patients can effectively promote the proliferation of malignant cells and the development of cardiovascular diseases. At the same time, exosomes can induce the secretion of some microRNAs in patients, leading to cardiac repair and regeneration. Therefore, the detection and screening of microRNAs plays a crucial role in predicting the incidence of cardiovascular diseases in patients. Exosomes have attracted increasing attention due to their significant heterogeneity and ability to regulate the tumor immune microenvironment. However, tumor cell-derived exosomes accelerate tumor progression by enhancing immunosuppression and inflammation, increasing oxidative stress, and promoting angiogenesis, which may lead to poor prognosis.

Mapping the intellectual landscape of financial inclusion and sustainable development: a bibliometric analysis

Purpose This research mirrors a 360° probe into bibliometric review of various studies aimed to examine the relationship between financial inclusion and sustainable development (FI and SD). It also offers a conspectus of apex contributors, influential articles, key journals and potential avenues for further research in this crucial area of global progress. Design/methodology/approach The study is the abstract of a total 233 papers on the subject representing a period between 2012 and 2023 in the Scopus database in the domain. This investigation probes into publication trends, the most inexhaustible contributors by national journals, publications and authors. The study conducts keyword co-occurrence analysis and examines thematic evolution using Vosviewer and Biblioshiny. Findings The findings reveal four prominent clusters: (a) Financial growth with FI, (b) Economic Empowerment with Sustainable Goals, (c) Environmental Sustainability and (d) Microfinance and Digital Era. Furthermore, the study paves way for the future research agenda with the help of these research themes. Originality/value To the best of the authors’ knowledge, this paper is the first of its kind in deeply probing the literature on FI and SD from a bibliometric perspective. Hence the findings of this study is a powerful weapon for researchers and practitioners coupled with future research inquiries, offering valuable insights and establishing robust quantitative foundations for advancing knowledge in the realms of FI and SD.

Geriatrics Syndrome Research in Focus: A Bibliometric Overview

The bibliometric study provides an extensive summary of academic publications from 1990 to 2024 that are indexed in Web of Science (WoS) and Scopus. It highlights important research issues within geriatric syndromes, institutional contributions, regional distribution, and publication trends. 331 publications are listed in WoS, compared to 126 in Scopus. The yearly distribution patterns of the two databases are comparable, with noteworthy peaks occurring in 2000, 2010, and 2019. Strangely, there are no articles in 2024 according to both databases, which calls for more research. After Japan (35), Spain (28), and the United States (42) in terms of publications per country. Well-known establishments are Harvard Medical School and Johns Hopkins University. Two of the most often referenced studies, Inouye et al. (2007) and Tinetti et al. (1995), focus on important geriatric disorders, sarcopenia and frailty. With 25 publications, the Journal of the American Geriatrics Society takes first place. Six theme clusters, comprising fundamental concerns like disability, falls, and frailty, are revealed using keyword co-occurrence analysis. The results emphasize the necessity of ongoing financing for research on aging syndromes and draw attention to important research gaps and new trends. The sharp decline in 2024 publication numbers and dependence on two databases are acknowledged drawbacks that point to areas in need of greater research and thorough examinations in the future.

Exploring the landscape of extracellular vesicle application for skin and plastic surgery: A bibliometric analysis from 2003 to 2023.

Exosomes and other secretory membrane vesicles, collectively referred to as extracellular vesicles (EVs), have garnered increasing attention in research due to their biological characteristics. Notably, studies have shown promising results regarding the role of stem cell-derived extracellular vesicles (SC-EVs) in skin and plastic surgery applications. This study aims to elucidate current trends in SC-EVs within the context of skin and plastic surgery and offer insights for future research directions in advancing this critical field. A comprehensive search was conducted for relevant studies on SC-EVs in skin and plastic surgery spanning from 2003 to 2023, utilizing the Web of Science database. Subsequently, data analysis was performed using VOSviewer and CiteSpace. A total of 1089 studies were identified, with a noticeable annual increase in publications on SC-EVs' application in skin and plastic surgery. China emerged as the leading contributor to this field, with Shanghai Jiao Tong University being a notable institution. Stem Cell Research & Therapy and the International Journal of Molecular Sciences were the top journals publishing relevant articles. Author Fu Xiaobing from the Chinese People's Liberation Army General Hospital had the highest publication count in this area. Keyword co-occurrence analysis revealed six distinct clusters, with "exosomes" being the most prevalent keyword in recent years. Wound healing and skin rejuvenation emerged as primary research focuses and hotspots in this field. This comprehensive review offers insights into global trends surrounding SC-EVs in skin and plastic surgery. Analysis of journals, institutions, references, and keywords provides valuable guidance for researchers in determining future research directions.

Clinical reasoning and clinical judgment in nursing research: A bibliometric analysis.

To characterize the thematic foci, structure, and evolution of nursing research on clinical reasoning and judgment. Bibliometric analysis. We used a bibliometric method to analyze 1528 articles. We searched the Scopus bibliographic database on January 7, 2024. Through a keyword co-occurrence analysis, we found the most frequent keywords to be clinical judgment, clinical reasoning, nursing education, simulation, nursing, clinical decision-making, nursing students, nursing assessment, critical thinking, nursing diagnosis, patient safety, nurses, nursing process, clinical competence, and risk assessment. The focal themes, structure, and evolution of nursing research on clinical reasoning and judgment were revealed by keyword mapping, clustering, and time-tracking. By assessing key nursing research areas, we extend the current discourse on clinical reasoning and clinical judgment for researchers, educators, and practitioners. Critical challenges must still be met by nursing professionals with regard to their use of clinical reasoning and judgment within their clinical practice. Further knowledge and comprehension of the clinical reasoning process and the development of clinical judgment must be successfully translated from research to nursing education and practice. This study highlights the nursing knowledge gaps with regard to nurses' use of clinical reasoning and judgment and encourages nursing educators and professionals to focus on developing nurses' clinical reasoning and judgment with regard to their patients' safety. In addressing nurses' use of clinical reasoning and judgment, and with regard to patient safety in particular, this study found that, in certain clinical settings, the use of clinical reasoning and judgment remains a challenge for nursing professionals. This study should thus have an effect on nursing academics' research choices, on nursing educators' teaching practices, and on nurses' clinical practices. Relevant EQUATOR guidelines have been adhered to by employing recognized bibliometric reporting methods.

A Bibliometric Analysis of Soccer Biomechanics

Soccer biomechanics is a field that applies principles of mechanics to improve performance and reduce the risk of injury for soccer players. The purpose of this research is to perform a mapping review of the existing knowledge in the current literature, identify leading researchers and institutions, and explore emerging research topics. After conducting a mini literature review, a bibliometric analysis was carried out using the VOSviewer software. The data imported into VOSviewer was obtained from the Scopus database and included 951 records. The analysis performed included: (a) performance analysis to calculate the number of records per year and the authors with the most citations; (b) science mapping analysis (co-authorship, co-citation, and bibliographic coupling); and (c) clustering analysis through the co-occurrence analysis of author keywords. Our findings highlight a significant growth in research publications on soccer biomechanics over the past few decades, with a notable increase in the number of articles published in high-impact journals. Additionally, the clustering analysis resulted in seven clusters, with each cluster providing valuable insights into different aspects of soccer biomechanics, which clearly reflects the multifaceted nature of the field.

How Does Regional Science Address Environmental Issues? A Bibliometric Analysis of Two Decades of Publications

Using bibliometric methods, this paper is aimed at providing an overview of Regional Science publications that address environmental issues. The analysis covers a corpus of 1145 articles that refer to the environment in their title, abstract or keywords and published in 18 journals between 1999 and 2020. Although these publications account for only 6 percent of the articles published in these journals over that period, their number gradually increased. To gain a clearer picture of the environmental issues addressed, we characterise them according to whether an integrative or topical approach is adopted and by their spatial dimensions. This analytical framework is first applied by searching for specific terms in their title, keywords and abstract. The results show that both approaches are equally effective; further, these articles address intraregional or interregional environmental issues more than global environmental issues. Second, we conduct a keyword co-occurrence analysis revealing four coherent thematic article groups treating environmental issues from the perspectives of amenities and migration, governance and policy, innovation and clusters, and land use and urban sprawl. More detailed analyses of each group allowed us to refine our understanding of how environmental issues were addressed. Finally, a cross-cutting view of the four thematic groups suggests that Regional Science approaches environmental issues through spatial disparities and inequalities, spatial interactions and interdependencies, and the spatial dimension of public action. The research perspectives in each of these areas are highlighted.

The Application of Machine Learning and Deep Learning in Intelligent Transportation: A Scientometric Analysis and Qualitative Review of Research Trends

Machine learning (ML) and deep learning (DL) have become very popular in the research community for addressing complex issues in intelligent transportation. This has resulted in many scientific papers being published across various transportation topics over the past decade. This paper conducts a systematic review of the intelligent transportation literature using a scientometric analysis, aiming to summarize what is already known, identify current research trends, evaluate academic impacts, and suggest future research directions. The study provides a detailed review by analyzing 113 journal articles from the Web of Science (WoS) database. It examines the growth of publications over time, explores the collaboration patterns of key contributors, such as researchers, countries, and organizations, and employs techniques such as co-authorship analysis and keyword co-occurrence analysis to delve into the publication clusters and identify emerging research topics. Nine emerging sub-topics are identified and qualitatively discussed. The outcomes include recognizing pioneering researchers in intelligent transportation for potential collaboration opportunities, identifying reliable sources of information for publishing new work, and aiding researchers in selecting the best solutions for specific problems. These findings help researchers better understand the application of ML and DL in the intelligent transportation literature and guide research policymakers and editorial boards in selecting promising research topics for further research and development.

SPIRITUALITY AND SUSTAINABILITY: A BIBLIOMETRIC REVIEW

Amidst the global stress escalation triggered by the COVID-19 pandemic, there has been a noticeable surge in people turning to spirituality. Recognizing the growing importance of spirituality in contemporary society, this study investigates the relationship between spirituality and sustainability through a bibliometric analysis, utilizing the SCOPUS database. The main objective of the study is to holistically map and evaluate the direction of the area by identifying prominent themes, patterns, and major works, which in turn will be used as the guiding principles for future research. The analysis of 384 documents reveals a substantial upward trend in publications between 1993 and 2023. Predominantly, studies on spirituality and sustainability originate from the United States of America, India, and Australia. Through the evaluation of bibliometric data, this research identifies leading authors, publications, journals, and institutions in the field. Additionally, keyword co-occurrence analysis, topic modeling, and content analysis unveil the theoretical foundations and emerging patterns, offering valuable insights for future research directions. The study showcases diverse themes in spirituality and sustainability, providing implications for both academics and organizations. Furthermore, it sheds light on areas where research is lagging in the current landscape.

Islamic Finance Transformation: A Bibliometric Analysis

This research paper aims to comprehensively examine the evolution, themes, and trends within Islamic finance transformation. This study used bibliometric analysis in biblioshiny R-Studio to collect and analyze relevant scholarly sources. We perform citation network analysis, co-authorship analysis, and keyword co-occurrence analysis to identify the intellectual structure in Islamic finance transformation. We found that Malaysia is the most outstanding country in this topic, the Journal of Islamic Accounting and Business Research is the most outstanding journal, and International Islamic University Malaysia is the most outstanding affiliation. Our study also reveals a notable increase in publications on Islamic finance transformation over the past decade, indicating growing interest. Key themes identified include fintech, regulatory frameworks, ethics, and Islamic-conventional finance integration. We highlight influential scholars and journals shaping the field, showcasing its multidisciplinary nature. This research offers a comprehensive overview of Islamic finance transformation literature, synthesizing themes and highlighting ongoing research areas. The bibliometric analysis provides quantitative insights into influential works and scholars, serving as a valuable resource for researchers, policymakers, and practitioners navigating the evolving landscape of Islamic finance.

Exploring new frontiers of experiential learning landscape: a hybrid review

Purpose Experiential learning is crucial in education, as it offers hands-on, practical experiences that enable individuals to develop their skills and knowledge more engagingly and interactively. In recent years, experiential learning has become a significant aspect of education. To provide academic scholars with a thorough roadmap for further investigation, this study aims to provide useful insights into the bibliometric and content analysis of experiential learning, including keywords, well-known authors, publications, nations and topics. Design/methodology/approach This research does a rigorous bibliometric analysis to give a thorough and visually instructional assessment of the evolution and advancement of the literature on experiential learning. Its fast development between 1976 and 2022 is meticulously tracked in the research. By using VOSviewer and Biblioshiny tools, the present study presents a concise overview of 507 records retrieved from the Scopus database using the keyword “Experiential Learning”, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis protocol. Deeper text mining was done using Python libraries “Pandas” and “Natural Language Toolkit” and regular expressions. Findings The findings reveal a surge in the number of publications on experiential learning and provide insights, particularly using the theory, context, characteristics, methodology analysis, supporting researchers and practitioners to understand learning better and provide perspectives for future research. Descriptive bibliometric analysis showed that most contributions are from the USA, the UK and Canada. In-depth content analysis revealed five clusters: developments in learning, management education, engineering curricula, organisational learning and knowledge management and entrepreneurship education. The keyword co-occurrence analysis enabled linkages between relevant fields of study and significant research domains. The most commonly used theories were: experiential learning theory, social learning theory, relational coordination theory, empowerment theory, feedback learning theory, effectuation theory and human capital theory. Originality/value This study uses information from the Scopus database to do a bibliometric analysis of experiential learning from 1976 to 2022. This study serves as a valuable resource for researchers in the field, helping them to position their work more explicitly within the existing literature and highlighting potential areas for future research. It does this by thoroughly analysing the literature on experiential learning using bibliometrics.

The Progress and Trend of UAV Power Line Inspection: A Bibliometrics-based Visualization Analysis

<p> Background: The application of Unmanned Aerial Vehicle (UAV) is a major turning point in the history of power line inspection and is of increasing interest to a growing number of researchers. </p><p> Objective: This study aimed to clarify the research status, hotspots, and evolutionary trends of UAV power line inspection, to help researchers understand the dynamic evolution of research topics and provide guidance for future research directions. </p><p> Methods: 737 high-quality papers were collected from the Web of Science Core Collection (WoSCC) database from 2001 to 2023, and descriptive statistical analysis, cooperation network analysis, keyword co-occurrence analysis, keyword clustering analysis, and keyword citation burst analysis were conducted using VOSviewer and CiteSpace. </p><p> Results: The popularity of research in this field is increasing. Chinese academic institutions and scholars have made outstanding contributions. The level of cooperation between different countries, academic institutions, and scholars is low. The research on UAV power line inspection has a wide range of topics and obvious interdisciplinary characteristics, mainly focusing on fault detection and diagnosis, path planning, and the application of deep learning in intelligent inspection. The research hotspot and trend is the integration of artificial intelligence, deep learning, and modern information technology to achieve UAV autonomous intelligent inspection. Some of the challenges faced in the development of the field are also summarized and possible solutions are proposed. </p><p> Conclusion: This study provides a comprehensive and systematic review, and the results can provide a quick overview of the research status, hotspots, and evolutionary trends.

A mapping-knowledge-domain analysis of ERP research on language processing.

The event-related potentials (ERPs) technique represents a newly developed methodology in cognitive neuroscience and has significantly extended the scope of linguistic studies, offering valuable insights into cognitive processes related to language. While extant literature reviews have addressed specific facets of ERP research on language processing, a comprehensive overview of this domain remains notably absent. This study aims to fill this gap by pioneering a mapping-knowledge-domain analysis of ERP research on language processing using Citespace, a visualized bibliometric software. The current study conducted a meticulous survey and evaluation of relevant literature extracted from the Web of Science core collection. Initially, this study outlines the spatial-temporal distribution within this domain. Subsequently, employing document co-citation analysis, keyword co-occurrence analysis, cluster analysis, and burst detection analysis, this study delved deeper into the research landscape. Findings reveal that key areas in ERP research on language processing predominantly focus on sentence comprehension, reading comprehension, and mismatch negativity, with notable emphasis on topics such as speech perception, temporal dynamics, and working memory. The current study advocates for future investigations to concentrate on larger linguistic units, explore the integration of ERP components and their functional significance, and scrutinize individual differences among participants. These directions are imperative for advancing the understanding of language processing mechanisms.

A Bibliometric Analysis of Supply Chain Management within Modular Integrated Construction in Complex Project Management

As construction projects become increasingly complex, modular integrated construction (MiC) has emerged as a pivotal solution, driving integrated development in complex projects. However, the reliance on prefabricated modules underscores the crucial role of supply chain management (SCM) in MiC, necessitating strategic planning and operational control. This study aimed to use bibliometric analysis to map the SCM knowledge domain within MiC. Through the use of keywords related to “supply chain” and “MiC”, 196 relevant papers were extracted from the Web of Science database. These papers were subjected to co-citation analysis, keyword co-occurrence analysis, and time span analysis to elucidate the historical evolution, multidisciplinary domains, and future directions in planning and control within SCM-MiC. The research identified two milestones in SCM-MiC’s historical trajectory, enhancing our understanding of its foundations. Moreover, 11 clusters were identified, illustrating the multidisciplinary nature of SCM-MiC. Dividing the literature into seven stages of the supply chain, the research outlined four research directions aligned with project complexity and technological development, highlighting current hotspots and gaps of the strategic planning and control. These directions bridge the construction management and information technology domains, guiding future SCM-MiC research within complex project management.

A Bibliometric Analysis on Trends and Patterns in Self-Regulated Language Learning in Mobile-Assisted Learning Environments

This study analysed 498 articles published between 2005 and 2023 on Self-regulated Language Learning (SRLL) indexed in the core collection of the Web of Science database, using a bibliometric methodology based on scientific mapping, co-occurrence and burstness analysis. Results show China is the most influential contributor to SRLL research, with the largest number of total publications and citations. According to the keyword co-occurrence and burstness analysis, mobile-learning, higher education, learning context, learner strategies stand out in this field. It is also shown that listening as a significant linguistic skill is less explored in the SRLL field. It is proven that learners' language skills could be improved through mobile-assisted collaborative learning in informal settings. By identifying the developmental patterns in SRLL research, this paper can guide future researchers to explore in-depth the significant issues in this field and bring insight for further SRLL studies in terms of themes, pedagogy and methodologies.

Evolution and trends in retailing: insights from International Journal of Retail & Distribution Management

PurposeThis study aims to embark on a bibliometric journey through the International Journal of Retail & Distribution Management (IJR&DM) to delve into its rich repository of applied retailing research.Design/methodology/approach626 publications in IJR&DM between 2015 and 2023 have been retrieved from Scopus for performance analysis of the journal’s publication (productivity) and citation (impact) trends as well as a science mapping of the journal’s collaborators (contributors) and major themes (contributions).FindingsThe performance analysis highlights the growth in the productivity and impact of IJR&DM alongside its most cited publications, most prolific contributors, most relied-on journals, as well as the authors, institutions, countries, and journals that the journal has impacted the most. The co-authorship analysis reveals the collaboration (i.e., international with a high concentration in Europe and North America along with an emerging presence in Asia) of IJR&DM. Keyword co-occurrence analysis and bibliographic coupling reveal eight themes. Our exploration revealed close interconnections among various domains including retailing and adaptive strategies, channel strategies, customer experience, market innovations, operations management, relationship marketing, shopping motivation, and sustainability.Research limitations/implicationsAlthough this study delivers a state-of-the-art overview of the retail industry through the scientific contributions from IJR&DM, it remains limited to the insights from a single authoritative source of knowledge on retailing.Originality/valueNo review, to date, has been conducted for IJR&DM. This study provides the inaugural retrospective of the scientific contributions of IJR&DM, outlining publication and citation trends alongside the intellectual structure of its body of knowledge on retailing. Theoretically, this retrospective is pivotal in charting the intellectual growth and thematic nuances inherent in retail research. Practically, this study serves as a guide for practitioners, enabling them to make strategically informed decisions and craft forward-looking strategies in sync with current realities.

Research on the global trends of COVID-19 associated acute kidney injury: a bibliometric analysis

Critically ill COVID-19 patients may exhibit various clinical symptoms of renal dysfunction including severe Acute Kidney Injury (AKI). Currently, there is a lack of bibliometric analyses on COVID-19-related AKI. The aim of this study is to provide an overview of the current research status and hot topics regarding COVID-19 AKI. The literature was retrieved from the Web of Science Core Collection (WoSCC) database. Subsequently, we utilized Microsoft Excel, VOSviewer, Citespace, and Pajek software to revealed the current research status, emerging topics, and developmental trends pertaining to COVID-19 AKI. This study encompassed a total of 1507 studies on COVID-19 AKI. The United States, China, and Italy emerged as the leading three countries in terms of publication numbers, contributing 498 (33.05%), 229 (15.20%), and 140 (9.29%) studies, respectively. The three most active and influential institutions include Huazhong University of Science and Technology, Wuhan University and Harvard Medical School. Ronco C from Italy, holds the record for the highest number of publications, with a total of 15 papers authored. Cheng YC’s work from China has garnered the highest number of citations, totaling 470 citations. The co-occurrence analysis of author keywords reveals that ‘mortality’, ‘intensive care units’, ‘chronic kidney disease’, ‘nephrology’, ‘renal transplantation’, ‘acute respiratory distress syndrome’, and ‘risk factors’ emerge as the primary areas of focus within the realm of COVID-19 AKI. In summary, this study analyzes the research trends in the field of COVID-19 AKI, providing a reference for further exploration and research on COVID-19 AKI mechanisms and treatment.

A bibliometric analysis on gamifying adult learning: past, present and future trends of learner-centered pedagogies

Purpose The psychological theory of self-determination postulated that gamification enhances learning engagement by intrinsically motivating learners to undertake tasks spontaneously. Gamification has then been integrated into adult learning as part of the initiative of learner-centred pedagogies to curb the low retention rates of adult learners who struggle with heavy work commitments, family obligations and financial pressure. Gamification, being one of the technological mediations, assumes the crucial role of engaging and retaining adult learners. Adult learners have received less attention in research when compared with conventional university students. The purpose of this study is to conduct a bibliographic analysis to assess the past, present and future publication trends of gamifying adult learning and to identify the research gap. Design/methodology/approach This study included publications related to gamification and adult learning from 2014 to 2022, extracted from Dimensions. A total of 79,864 publications were retrieved initially, and 3,469 publications were ultimately selected for final analysis after the refinement of the keyword search. VOSviewer was used for bibliographic coupling, keyword co-occurrence, clustering and co-citation analysis of countries. Findings The number of publications related to gamification in adult learning has decreased since its peak in 2020. The saturation is mainly concentrated in the USA, the UK and China, with similar levels of national income and technology advancement skills. However, gamification in adult learning remains a popular and growing research area in developing countries like Malaysia, which has huge potential due to government investments in education, technology and lifelong learning. There is also an evident research gap on gamification, adult learning and personality traits, which have not been covered in previous studies. Originality/value Prior research mostly focused on systematic literature reviews, while the use of bibliometric analysis could be a missing link in this research domain. This paper unveils the evolution of publications on this topic over time by scientifically analysing a large number of publications and rigorously identifying research gaps contributing to future research avenues.

A bibliometric and visualization analysis of research trends and hotspots on targeted therapy for breast cancer from 2003 to 2022.

Breast cancer is a significant public health issue, exhibiting the most pronounced occurrence and fatality rates among malignant neoplasms globally. Targeted therapy is a medical intervention that focuses on specific molecular markers. This study aims to investigate and evaluate the current research trends and directions in the field of targeted therapy for breast cancer using bibliometric analysis. The Web of Science database was utilized to retrieve relevant articles published between 2003 and 2022. The VOSviewer software and Bibliometrix package in the R language were employed to conduct co-occurrence and clustering analyses of authors, countries, institutions, journals, references, and the CiteSpace tool was utilized for keyword burst detection. A total of 2,258 articles were included and the annual number of publications increased rapidly. The most prolific country on this topic was the USA (n=898, 39.77%) and the University of Texas MD Anderson Cancer Center published most papers (n=93). Dennis J. Slamon and Gabriel N. Hortobagyi stood out in the field, with Dennis J. Slamon leading in terms of co-citations(n=653) and Gabriel N. Hortobagyi topping the list in terms of published articles(n=18). The most productive journal was Breast Cancer Research and Treatment and the most cited journal was Journal of Clinical Oncology. The clustering of keywords indicated that the primary focus of researches in the past two decades was on the development and clinical evaluation of tumor-targeted drugs associated with the epidermal growth factor receptor (EGFR) family signaling pathway, and explored mechanisms related to biological behavior of breast cancer. Keywords co-occurrence and burst analysis identified current research hotspots and potential research trends. This study employed bibliometric analysis to examine research on targeted therapy for breast cancer over a span of 20 years, and identified development trends of research and elucidated potential research trajectories in the domain of this topic. This study helps in the identification of prospective collaborators and partner institutions for researchers.