Highest Number Of Publications Research Articles

Bibliometric analysis of cerebral organoids and diseases in the last 10 years.

Cerebral organoids have emerged as a powerful tool for mirroring the brain developmental processes and replicating its unique physiology. This bibliometric analysis aims to delineate the burgeoning trends in the application of cerebral organoids in disease research and offer insights for future investigations. We screened all relevant literature from the Web of Scienceon cerebral organoids in disease research during the period 2013-2022 and analyzed the research trends in the field using VOSviewer, CiteSpace, and Scimago Graphica software. According to the search strategy, 592 articles were screened out. The United States of America (USA) was the most productive, followed by China and Germany. The top nine institutions in terms of the number of publications include Canada and the United States, with the University of California, San Diego (USA), having the highest number of publications. The International Journal of Molecular Sciences was the most productive journal. Knoblich, Juergen A., and Lancaster, Madeline A. published the highest number of articles. Keyword cluster analysis showed that current research trends focused more on induced pluripotent stem cells to construct organoid models of cerebral diseases and the exploration of their mechanisms and therapeutic modalities. This study provides a comprehensive summary and analysis of global research trends in the field of cerebral organoids in diseases. In the past decade, the number of high-quality papers in this field has increased significantly, and cerebral organoids provide hope for simulating nervous system diseases (such as Alzheimer's disease).

Global research trends and hot spots on autophagy and kidney diseases: a bibliometric analysis from 2000 to 2022

Background: Autophagy is an essential cellular process involving the self-degradation and recycling of organelles, proteins, and cellular debris. Recent research has shown that autophagy plays a significant role in the occurrence and development of kidney diseases. However, there is a lack of bibliometric analysis regarding the relationship between autophagy and kidney diseases.Methods: A bibliometric analysis was conducted by searching for literature related to autophagy and kidney diseases in the Web of Science Core Collection (WoSCC) database from 2000 to 2022. Data processing was carried out using R package “Bibliometrix”, VOSviewers, and CiteSpace.Results: A total of 4,579 articles related to autophagy and kidney diseases were collected from various countries. China and the United States were the main countries contributing to the publications. The number of publications in this field showed a year-on-year increasing trend, with open-access journals playing a major role in driving the literature output. Nanjing Medical University in China, Osaka University in Japan, and the University of Pittsburgh in the United States were the main research institutions. The journal “International journal of molecular sciences” had the highest number of publications, while “Autophagy” was the most influential journal in the field. These articles were authored by 18,583 individuals, with Dong, Zheng; Koya, Daisuke; and Kume, Shinji being the most prolific authors, and Dong, Zheng being the most frequently co-cited author. Research on autophagy mainly focused on diabetic kidney diseases, acute kidney injury, and chronic kidney disease. “Autophagy”, “apoptosis”, and “oxidative stress” were the primary research hotspots. Topics such as “diabetic kidney diseases”, “sepsis”, “ferroptosis”, “nrf2”, “hypertension” and “pi3k” may represent potential future development trends. Research on autophagy has gradually focused on metabolic-related kidney diseases such as diabetic nephropathy and hypertension. Additionally, PI3K, NRF2, and ferroptosis have been recent research directions in the field of autophagy mechanisms.Conclusion: This is the first comprehensive bibliometric study summarizing the relationship between autophagy and kidney diseases. The findings aid in identifying recent research frontiers and hot topics, providing valuable references for scholars investigating the role of autophagy in kidney diseases.

Scientometric analysis on the use of ChatGPT, artificial intelligence, or intelligent conversational agent in the role of medical training

IntroductionIn recent times, there has been a noticeable surge in the usage of artificial intelligence, including ChatGPT and other types, in the field of health sciences education. In this regard, an exploratory bibliometric study was carried out to examine the utilization of smart conversational agents, ChatGPT, and artificial intelligence bots in medical education. MethodsA retrospective, observational, cross-sectional bibliometric analysis was employed to assess the scientific publications listed in Scopus. This study was conducted on March 11, 2023 in search for information in Scopus. A total of 220 relevant documents were identified that were available in the Scopus database during the period between 2017 and 2022. Elsevier's SciVal software was used. Subsequently, statistical tables and graphs were prepared for presentation in Bibliometrix software. ResultsAmong the authors, Timothy W. Bickmore, from the United States, has the highest number of publications (10) and citations received (172), and an h-index of 45, suggesting a significant influence in the field of study. The subcategory with the highest academic output is Health Informatics with 133 publications, while Geriatrics and Gerontology has the least with only 3. Most of the analyzed publications (44.2%) originated from collaborations within the same country. Notably, the Swiss Federal Institute of Technology Zurich and Imperial College London stood out with 12 publications each that received over 200 citations indicating their significant impact on their respective fields. Despite having the highest number of academic publications (15), Brazil had a relatively low field-weighted citation impact (0.64) and received the lowest number of citations (81). A clustering analysis was performed on a sample of 10 concepts using 2 dimensions. The results indicated that all terms were part of the same cluster. Notably, the terms 'conversational agents', 'chatbots', 'conversational agent', and 'chatbot' were closely related. ConclusionsIt was found that the American Bickmore, Timothy W., led the top-10 researchers, and that the Health Informatics subject area was the most predominant. However, Brazil and Germany were the leading countries in terms of research output that was mainly published in high impact journals (Q1).

Global research trends of the application of artificial intelligence in bladder cancer since the 21st century: a bibliometric analysis

IntroductionSince the significant breakthroughs in artificial intelligence (AI) algorithms, the application of AI in bladder cancer has rapidly expanded. AI can be used in all aspects of the bladder cancer field, including diagnosis, treatment and prognosis prediction. Nowadays, these technologies have an excellent medical auxiliary effect and are in explosive development, which has aroused the intense interest of researchers. This study will provide an in-depth analysis using bibliometric analysis to explore the trends in this field.MethodDocuments regarding the application of AI in bladder cancer from 2000 to 2022 were searched and extracted from the Web of Science Core Collection. These publications were analyzed by bibliometric analysis software (CiteSpace, Vosviewer) to visualize the relationship between countries/regions, institutions, journals, authors, references, keywords.ResultsWe analyzed a total of 2368 publications. Since 2016, the number of publications in the field of AI in bladder cancer has increased rapidly and reached a breathtaking annual growth rate of 43.98% in 2019. The U.S. has the largest research scale, the highest study level and the most significant financial support. The University of North Carolina is the institution with the highest level of research. EUROPEAN UROLOGY is the most influential journal with an impact factor of 24.267 and a total citation of 11,848. Wiklund P. has the highest number of publications, and Menon M. has the highest number of total citations. We also find hot research topics within the area through references and keywords analysis, which include two main parts: AI models for the diagnosis and prediction of bladder cancer and novel robotic-assisted surgery for bladder cancer radicalization and urinary diversion.ConclusionAI application in bladder cancer is widely studied worldwide and has shown an explosive growth trend since the 21st century. AI-based diagnostic and predictive models will be the next protagonists in this field. Meanwhile, the robot-assisted surgery is still a hot topic and it is worth exploring the application of AI in it. The advancement and application of algorithms will be a massive driving force in this field.

Genome-wide association study in Alzheimer’s disease: a bibliometric and visualization analysis

BackgroundThousands of research studies concerning genome-wide association studies (GWAS) in Alzheimer’s disease (AD) have been published in the last decades. However, a comprehensive understanding of the current research status and future development trends of GWAS in AD have not been clearly shown. In this study, we tried to gain a systematic overview of GWAS in AD by bibliometric and visualization analysis.MethodsThe literature search terms are: (“genome-wide analysis” or “genome-wide association study” or “whole-genome analysis”) AND (“Alzheimer’s Disease” or “Alzheimer Disease”). Relevant publications were extracted from the Web of Science Core Collection (WoSCC) database. Collected data were further analyzed using VOSviewer, CiteSpace and R package Bibliometrix. The countries, institutions, authors and scholar collaborations were investigated. The co-citation analysis of publications was visualized. In addition, research hotspots and fronts were examined.ResultsA total of 1,350 publications with 59,818 citations were identified. The number of publications and citations presented a significant rising trend since 2013. The United States was the leading country with an overwhelming number of publications (775) and citations (42,237). The University of Washington and Harvard University were the most prolific institutions with 101 publications each. Bennett DA was the most influential researcher with the highest local H-index. Neurobiology of Aging was the journal with the highest number of publications. Aβ, tau, immunity, microglia and DNA methylation were research hotspots. Disease and causal variants were research fronts.ConclusionThe most frequently studied AD pathogenesis and research hotspots are (1) Aβ and tau, (2) immunity and microglia, with TREM2 as a potential immunotherapy target, and (3) DNA methylation. The research fronts are (1) looking for genetic similarities between AD and other neurological diseases and syndromes, and (2) searching for causal variants of AD. These hotspots suggest noteworthy directions for future studies on AD pathogenesis and genetics, in which basic research regarding immunity is promising for clinical conversion. The current under-researched directions are (1) GWAS in AD biomarkers based on large sample sizes, (2) studies of causal variants of AD, and (3) GWAS in AD based on non-European populations, which need to be strengthened in the future.

Citation network analysis on keratoconus

ObjectiveThe high incidence of keratoconus has caused its management, etiology, and pathogenesis to be controversial topics in the ophthalmology field. This study aims to analyze the relationship between the different publications and authors through citation networks, as well as to identify the research areas and determine the most cited article. MethodsThe search for publications was carried out through the Web of Science database, using the term “Keratoconus” between 1900 and December 2022. The Citation Network Explorer and CiteSpace software were used for the publication analysis. Results9,655 publications were found, with 124,379 citations generated on the network. The year with the highest number of publications was 2021. The most cited publication was “Keratoconus” by Rabinowitz, published in 1998. Cluster function gave five groups of research areas about keratoconus: corneal signs and parameters, cross-linking efficiency and effects, clinical factors, keratoplasty, and treatment. ConclusionsThe citation network offers an objective and comprehensive analysis of the papers on keratoconus.

A scientometrics analysis of physical activity and transcranial stimulation research.

The search for alternatives to improve physical performance is rising, and in recent years has been focused on the brain. No bibliometric study analyzing research on physical activity (PA) and transcranial stimulation has been found in the scientific literature. Aims: To provide an overview of the existing scientific research on PA and transcranial brain stimulation in healthy and sports participants, using a bibliometric analysis and graphic mapping of the references in the field. To do this, we analyze annual publication trends in this area, identifying the most productive and cited authors, journals and countries with the highest number of publications, and the most cited documents and keywords. Those publications related to this area, published in journals indexed in the web of science main collection were retrieved and analyzed using the traditional laws of bibliometrics. A total of 305 documents were found. Annual publications followed an exponential growth trend (R2 = 94.2%); with A. J. Pearce (9 documents) is the most productive coauthor and M.C. Ridding, H. Theoret and M. Lassonde as the most prominent (with 5 most cited papers). The USA (67 papers) and the journal Frontiers in Human Neuroscience (12 papers) were the most productive country and journal respectively. The paper "Action anticipation and motor resonance in elite basketball players" was the most cited paper and "transcranial magnetic stimulation" was the most used keyword. There are extensive research networks throughout the world, with the USA leading the production. Publications on the issue are of high interest in the scientific community as an exponential increase in publications over the last few years was found. The contribution of these findings is to offer a complete picture of the relationship between PA and transcranial brain stimulation in healthy individuals and athletes. Therefore, this comprehensive analysis provides fruitful information for sports researchers and policymakers to make future correct decisions about how to better design and implement training interventions in these groups of individuals.

Analyzing the Global Trends and Publication Patterns in Sports Education Technology: A Bibliometric Review

The use of technology in sport has significantly changed the way players are supported in their learning to perform at their best. A bibliometric analysis was performed to examine global publication trends and patterns connected to the use of technology in sports. All articles from the Scopus database from 1999–2023, totaling 135 articles related to this theme, were taken and then analysed using the help of mapping engineering analysis software, namely VOSviewer. The research findings show that there have been fluctuations in the number of publications, but 2017 marked the beginning of the trend for publications to increase by double digits. Of the 135 documents, the document types "article" and conference paper" were the largest among the other types, with 69 and 58 documents, respectively. The well-known journal "Teoriya I Propertia Fizicheskoy Kultury," which originates from Russia, is the scientific source that has published the most articles with eight documents. Other findings revealed that the "Computer Science" area, with 55 documents, was the one most studied by scholars to carry out their research. China is the country with the highest number of publications, namely 67 documents, and one of its universities, namely Jiujiang University, is the top affiliate with three published documents. The use of the keywords "physical education" (21 occurrences), "sports education" (11 occurrences), and "multimedia technology" (5 occurrences) is the most popular compared to other phrases for this topic. This bibliometric analysis provides a comprehensive overview of the use of technology in sports education and can be used as a guide in developing athletes to obtain optimal performance.

Bibliometric analysis of research trends in microbial fuel cells for wastewater treatment

Recent trends of microbial fuel cells or MFC research have targeted the ability of such technologies to become economically and technically viable. It is important to address the critical scientific inquiries in this area using research metrics. The reported MFC systems have shown applicability towards bioremediation and bioelectricity production, however, the need for creating scalable architecture which can treat real time wastewater has extended the research further. It is therefore important to provide a comprehensive analysis of the networks that has allowed these developments. The most important publications, authors, papers, countries, and keywords in the context of wastewater treatment using MFCs have been examined in this article. This covers the timeline between January 2013 to August 2023. This article also highlights the trends and developments that have arisen because of these examinations in the last decade. The visualization for the bibliometric analysis was done using VOSViewer with the publication data retrieved from the SCOPUS database. The analysis will help better understand current MFC research statistics for wastewater treatment and would help new researchers identify leading communities in this field for developing key insights. The highest number of publications are from China, United States, and India.

A Bibliometric Analysis on The Concept of Union Effectiveness

Aim: The main aim of this research is to examine the concept of 'union effectiveness' through the scientific mapping technique.
 Method: Keyword, citation and bibliometric matching analysis was applied to 546 publications obtained from the Scopus database. Scientific mapping visuals were presented through Vosviewer software.
 Results: It was determined that the journal with the highest number of publications is the British Journal of Industrial Relations. The USA is the country with the most publications. University of Haifa ranks first among the top 10 universities with the most publications. There is an intense interaction between the USA-China-Israel-South Korea-Ireland in the cluster of the most cited countries in the co-authorship network. The most prominent keywords in the studies are emotional commitment-employee turnover tendency-job satisfaction-organizational citizenship behavior-organizational commitment-performance-trust. It is seen that the most directly cited author is Cohen A. In the co-citation analysis of the document references, it was found that Boxall P and Haynes P (1997) were highly cited.
 Conclusion: It is aimed that the data presented by this research will be a guide within its own limitations to academics who will address the issue of union effectiveness in their research.

Neuroimaging Techniques in Differentiating Parkinson's Disease from Drug-Induced Parkinsonism: A Comprehensive Review.

Neuroimaging can provide significant benefits in evaluating patients with movement disorders associated with drugs. This literature review describes neuroimaging techniques performed to distinguish Parkinson's disease from drug-induced parkinsonism. The dopaminergic radiotracers already reported to assess patients with drug-induced parkinsonism are [123I]-FP-CIT, [123I]-β-CIT, [99mTc]-TRODAT-1, [18F]-DOPA, [18F]-AV-133, and [18F]-FP-CIT. The most studied one and the one with the highest number of publications is [123I]-FP-CIT. Fludeoxyglucose (18F) revealed a specific pattern that could predict individuals susceptible to developing drug-induced parkinsonism. Another scintigraphy method is [123I]-MIBG cardiac imaging, in which a relationship between abnormal cardiac imaging and normal dopamine transporter imaging was associated with a progression to degenerative disease in individuals with drug-induced parkinsonism. Structural brain magnetic resonance imaging can be used to assess the striatal region. A transcranial ultrasound is a non-invasive method with significant benefits regarding costs and availability. Optic coherence tomography only showed abnormalities in the late phase of Parkinson's disease, so no benefit in distinguishing early-phase Parkinson's disease and drug-induced parkinsonism was found. Most methods demonstrated a high specificity in differentiating degenerative from non-degenerative conditions, but the sensitivity widely varied in the studies. An algorithm was designed based on clinical manifestations, neuroimaging, and drug dose adjustment to assist in the management of patients with drug-induced parkinsonism.

Research status and hotspots of autoimmune gastritis: A bibliometric analysis.

As an emerging potential risk factor for gastric cancer, autoimmune gastritis (AIG) has garnered increasing attention from researchers. To analyze the research overview and popular topics in the field of AIG using bibliometrics. Relevant publications on AIG in the Web of Science Core Collection were collated, and data visualization and analysis of the number of publications, countries, institutions, journals, authors, keywords, and citations were performed using software such as VOSviewer, CiteSpace, and Scimago Graphic. In total, 316 relevant articles were included in the analysis. From 2015 to 2022, the number of publications increased annually. The countries, institutions, authors, and journals with the highest number of publications in this field were Italy, Monash University, Toh BH, and Internal Medicine. The main keywords used in this field of research were pathogenesis, Helicobacter pylori, autoantibody, parietal cell antibody, atrophic gastritis, classification, diagnosis, autoimmune disease, risk, cancer, gastric cancer, vitamin B12 deficiency, and pernicious anemia. The following directions may be popular for future research: (1) The role of Helicobacter pylori in the pathogenesis of AIG; (2) diagnostic criteria for AIG and reference values for serum antibodies; (3) comorbidity mechanisms between AIG and other autoimmune diseases; (4) specific risks of AIG complicating gastric and other cancers; and (5) the role of vitamin B12 supplementation in patients with early-stage AIG. This bibliometric analysis reported on popular topics and emerging trends in AIG, with diagnosis and prognosis being research hotspots in this field.

Artificial intelligence in dentistry: A bibliometric analysis from 2000 to 2023

Background/purposeArtificial intelligence (AI) is reshaping clinical practice in dentistry. This study aims to provide a comprehensive overview of global trends and research hotspots on the application of AI to dentistry. Materials and methodsStudies on AI in dentistry published between 2000 and 2023 were retrieved from the Web of Science Core Collection. Bibliometric parameters were extracted and bibliometric analysis was conducted using VOSviewer, Pajek, and CiteSpace software. ResultsA total of 651 publications were identified, 88.7 % of which were published after 2019. Publications originating from the United States and China accounted for 34.5 % of the total. The Charité Medical University of Berlin was the institution with the highest number of publications, and Schwendicke and Krois were the most active authors in the field. The Journal of Dentistry had the highest citation count. The focus of AI in dentistry primarily centered on the analysis of imaging data and the dental diseases most frequently associated with AI were periodontitis, bone fractures, and dental caries. The dental AI applications most frequently discussed since 2019 included neural networks, medical devices, clinical decision support systems, head and neck cancer, support vector machine, geometric deep learning, and precision medicine. ConclusionResearch on AI in dentistry is experiencing explosive growth. The prevailing research emphasis and anticipated future development involve the establishment of medical devices and clinical decision support systems based on innovative AI algorithms to advance precision dentistry. This study provides dentists with valuable insights into this field.

The future landscape of immunology in COPD: A bibliometric analysis

BackgroundThis study was conducted to provide a comparative and comprehensive analysis of the last 50 years of research in the immunology of chronic obstructive pulmonary disease (COPD) and to identify future research priorities and directions. MethodsWe obtained publication information from the Web of Science Core Collection (WoSCC) database. Scimago Graphica, CiteSpace, VOSviewer, GraphPad Prism, Microsoft Excel 365, and the R package “bibliometrix” were used for bibliometric analysis. The methodologies used were burst citation, clustering and co-citation, keyword co-occurrence, and cooperative network graph clustering algorithms. ResultsA total of 2239 articles and reviews were included in the analysis. The number of annual publications showed an upward trend amidst fluctuations. The countries, institutions, journals, and authors with the highest number of publications were the USA, Imperial College London (ICL), Journal of Allergy and Clinical Immunology, and Murphy TF. There are 58 references and 13 keywords with a burst citation nature in the last 3 years, related to the study of inflammatory mechanisms. ConclusionWe used bibliometric analysis to understand the research progress regarding immune function in COPD. Meanwhile, we found that the hotspots of COPD immunology in basic research focus on the analysis of etiology and risk factors, and the exploration of the immune system; and the hotspots of COPD in clinical research focus on epidemiology, and the prevention and management of different subtypes of COPD.

Analysis of global research hotspots and trends in immune cells in intervertebral disc degeneration: A bibliometric study

ABSTRACT Intervertebral disc degeneration is an important pathological basis for spinal degenerative diseases. The imbalance of the immune microenvironment and the involvement of immune cells has been shown to lead to nucleus pulposus cells death. This article presents a bibliometric analysis of studies on immune cells in IDD in order to clarify the current status and hotspots. We searched the WOSCC, Scopus and PubMed databases from 01/01/2001 to 08/03/2023. We analyzed and visualized the content using software such as Citespace, Vosviewer and the bibliometrix. This study found that the number of annual publications is increasing year on year. The journal study found that Spine had the highest number of articles and citations. The country/regions analysis showed that China had the highest number of publications, the USA had the highest number of citations and total link strength. The institutional analysis found that Shanghai Jiao Tong University and Huazhong University of Science Technology had the highest number of publications, Tokai University had the highest citations, and the University of Bern had the highest total link strength. Sakai D and Risbud MV had the highest number of publications. Sakai D had the highest total link strength, and Risbud MV had the highest number of citations. The results of the keyword analysis suggested that the current research hotspots and future directions continue to be the study of the mechanisms of immune cells in IDD, the therapeutic role of immune cells in IDD and the role of immune cells in tissue engineering for IDD.

Trends and hotspots in research on medical images with deep learning: a bibliometric analysis from 2013 to 2023.

With the rapid development of the internet, the improvement of computer capabilities, and the continuous advancement of algorithms, deep learning has developed rapidly in recent years and has been widely applied in many fields. Previous studies have shown that deep learning has an excellent performance in image processing, and deep learning-based medical image processing may help solve the difficulties faced by traditional medical image processing. This technology has attracted the attention of many scholars in the fields of computer science and medicine. This study mainly summarizes the knowledge structure of deep learning-based medical image processing research through bibliometric analysis and explores the research hotspots and possible development trends in this field. Retrieve the Web of Science Core Collection database using the search terms "deep learning," "medical image processing," and their synonyms. Use CiteSpace for visual analysis of authors, institutions, countries, keywords, co-cited references, co-cited authors, and co-cited journals. The analysis was conducted on 562 highly cited papers retrieved from the database. The trend chart of the annual publication volume shows an upward trend. Pheng-Ann Heng, Hao Chen, and Klaus Hermann Maier-Hein are among the active authors in this field. Chinese Academy of Sciences has the highest number of publications, while the institution with the highest centrality is Stanford University. The United States has the highest number of publications, followed by China. The most frequent keyword is "Deep Learning," and the highest centrality keyword is "Algorithm." The most cited author is Kaiming He, and the author with the highest centrality is Yoshua Bengio. The application of deep learning in medical image processing is becoming increasingly common, and there are many active authors, institutions, and countries in this field. Current research in medical image processing mainly focuses on deep learning, convolutional neural networks, classification, diagnosis, segmentation, image, algorithm, and artificial intelligence. The research focus and trends are gradually shifting toward more complex and systematic directions, and deep learning technology will continue to play an important role.

Trends and Hotspots in Riparian Restoration Research: A Global Bibliometric Analysis during 1990–2022

Human activities and climate change have increased damage to riparian forest and their functions, stimulating interest in riparian restoration research and resulting in a surge of related publications. However, a comprehensive bibliometric analysis of riparian restoration research has been lacking until recently. To understand trends and hotspots in riparian restoration research, we performed a literature search of riparian restoration publications from 1990 to 2022 based on the Web of Science database. We found 2121 peer-reviewed articles, and then each paper was bibliometrically researched, analyzing authors, institutions, countries, citations, journals, publication years, and keywords. The results showed a growing number of annual articles during 1990–2022, but declining average citations. Environmental science, ecology, biodiversity conservation, engineering, and forestry were popular fields in riparian restoration. Publications on the riparian restoration field were widely dispersed in different journals, but Restoration Ecology and Ecological Engineering have higher influence and more publications and citations than other journals. Lorenz A. W., Nilsson C., and Kondolf G. M. were the most competitive authors because of their high number of publications and citations. The USA had the greatest research output and the most citations. American scientists preferred national collaboration, while Switzerland scientists engaged more in international collaborations. Research focus shifted from ecosystems and rivers before the 21st century to management topics after 2001 and biodiversity and conservation after 2011. This study provides valuable insights into the progress of riparian restoration research globally.

Mapping knowledge structure and themes trends in geriatric spine surgery: A bibliometric analysis.

To analyze the status, hotspots, and frontiers of spine surgery in the geriatric using bibliometric method, the Web of Science Core Collection was searched for all papers concerning the use of spine surgery in the elderly from January 1, 1982 to August 3, 2022. VOSviewer and R software were used to perform the bibliometric analysis, which included retrieving the country, institution, author, journal, and keyword. A total of 663 articles were identified. The investigation revealed a growing number of publications over the past 20 years. The country with the highest number of publications was the United States (195 papers). The institution with the highest number of publications was the University of California (31 papers). H. Hassanzadeh and A. Jain were the most productive authors (14 publications), while R. A. Deyo was the most co-cited author. The journal with the most published papers was Spine (67 papers). According to Bradford Low, Spine, World Neurosurgery, and European Spine Journal were core journals in the field of geriatric spine surgery. The most recent trend topic was "readmission," "vertebroplasty," "kyphoplasty," "risk," "osteoporosis," "outcomes," "surgery," "complications," "scoliosis," and "management." In particular, osteoporosis has been a topic of attention in the field of geriatric spine surgery since 2005. Over time, research on spinal surgery in the elderly and allied topics has grown in importance and scope, indicating a tendency toward globalization. Researchers should pay more attention to the outcomes, complications, and management associated with spine surgery in the elderly.

Bibliometric Analysis of Research Articles on Virtual Reality in the Field of Pain Medicine Published from 1993 to 2022.

This study aims to analyze global and regional (China, Japan, and South Korea) research on virtual reality (VR) in the field of pain medicine over the past 30 years. Specifically, we quantify VR-related publications, examine the distribution of research topics on chronic and acute pain, and identify trends and future directions. The Web of Science Core Collection (WoSCC) database was used for bibliometric analysis. This study included articles written in English between 1993 and 2022. The search strategy used predefined terms related to VR and pain. Based on the articles' titles and abstracts, two pain physicians independently reviewed and classified them as acute or chronic pain. Quantitative data on countries, institutions, journals, and research categories were analyzed. VOSviewer software was used for keyword mapping and clustering. We analyzed 808 VR-related articles on pain medicine. Over the past three decades, the number of publications in this field has increased steadily. The United States of America (n = 259) had the highest number of publications. Moreover, China (n = 42), Japan (n = 18), and South Korea (n = 24) also contributed continuously. Acute and chronic pain research accounted for 44.2% and 37.9% of the articles, respectively. The most common acute pain topic was procedure-related (n = 129, 16.0%), whereas the most common chronic pain topic was neuropathic (n = 104, 12.9%). Keywords clustered around neuroscience, pediatric pain management, and chronic pain management. Our study revealed academic achievements and growing interest in VR-related research in pain medicine. Researchers worldwide have shown balanced interest in applying VR technology to acute and chronic pain, with specific contributions from China, Japan, and South Korea. Harnessing VR technology is promising for improving pain management and enhancing patients' quality of life in the field of pain medicine.

Bibliometric analysis of studies on stress urinary incontinence surgery

BackgroundStress urinary incontinence (SUI) is characterized by the involuntary leakage of urine during activities that increase abdominal pressure. In recent years, a considerable number of studies on SUI surgery have been published. However, there has been a lack of systematic quantification and comprehensive summarization of these studies. Bibliometrics is a discipline that utilizes measurement methods to quantify scientific literature. Thus, this study utilized publications from the Web of Science (WOS) as a data source and conducted a comprehensive analysis and visualization of studies related to SUI surgery in recent years using bibliometric techniques. MethodsWe conducted a search and retrieved information on 988 studies related to SUI surgery in the WOS Core Collection. The data covered ten years from September 7, 2013, to September 7, 2023. We employed VOSviewer software, CiteSpace software, and Bibliometrix for analysis and visualization. ResultsOver the ten years, the number of publications exhibited a fluctuating trend, initially decreasing and then increasing. The United States emerged as the leading contributor in terms of both publication volume and quality. The University of Alabama Birmingham ranked as the institution with the highest number of publications, while the International Urogynecology Journal featured the most publications among journals. ConclusionsThis paper presents a bibliometric analysis of publications related to SUI surgery from 2013 to 2023. The aim is to offer researchers a concise overview of the field and inspire future research directions.