Total Number Of Citations Research Articles

A bibliometric analysis of bladder cancer and microRNA research: Trends and advances from 2008 to 2022.

Bladder cancer (BC) is a significant global health issue with high incidence and mortality rates. MicroRNAs (miRNAs) play a crucial role in regulating gene expression and have been found to be dysregulated in BC. Understanding the role of miRNAs in BC development could lead to targeted therapies and improved patient management. Our study presents a thorough examination of the correlation between BC and miRNA research from 2008 to 2022. With the help of 3 powerful methods, including VOSviewer, Biblioshiny, and CiteSpace software, we analyzed the retrieved documents from "Core Collection databases online" on the Web of Science. In total, 798 articles were extracted from the Web of Science, and the number of published papers showed an upward trend from 2008 to 2019. The total number of citations was 21,233, of which the highest paper was a review article written by Chan Jiajia et al in 2018 with 752 citations. Based on the result of the coauthor analysis, Seki Naohiko was the most productive writer and China had the highest volume of published articles. Co-citation analysis was used to reveal the knowledge structure of the research field. In addition to the keywords "Bladder cancer" and "miRNA," "Proliferation," "Biomarkers," and "Apoptosis" were the high-frequency used keywords. Recently, increasingly researchers have paid more attention to the field about BC and miRNA around the worldwide. Through in-depth communication and close collaboration, the veil of miRNA in BC has gradually been unveiled. Bibliometric analysis helps to identify hotspots in research and areas for future investigation.

Turkish Retinoblastoma Research: A Bibliometric Analysis (1966-2024).

To conduct the first bibliometric analysis of retinoblastoma research in Türkiye and identify leading institutions, authors, collaboration patterns, and potential growth areas. We conducted a search on international databases (Web of Science [WoS] and Scopus), a national database (TR Dizin), and gray literature sources (thesis/Scientific and Technological Research Council of Türkiye project reports). Data were cleaned and analyzed using bibliometric tools, including Open Refine and VOSviewer. Bibliometric indicators such as number of publications, journals, h-index, collaboration patterns, and co-occurrence of keywords were examined. A search of WoS and Scopus entries published between 1966 and 2024 yielded 122 relevant publications, with articles (n=78, 63.9%) being the most common document type. More than two-thirds of the publications were from 4 institutions: İstanbul University (n=48, 23.8%), Hacettepe University (n=34, 16.8%), Ankara University (n=33, 16.3%), and İstanbul University-Cerrahpaşa (n=22, 10.9%). The total number of citations was 1,148, with an average of 10.16 per publication and an h-index of 16. Excluding 8 internationally collaborated articles, the citations and h-index decreased to 661 and 14, respectively. Pediatric Blood & Cancer was the most preferred journal, with 22 publications (19.5%). The national database search yielded 18 publications with 0 citations. Of 29 relevant theses, only 4 (13.8%) were published. The estimated publication growth predicted an increase in publication numbers per year until 2030. This study represents the first bibliometric analysis of retinoblastoma research conducted in Türkiye. Our findings underscore the concentration of research in a few institutions, the importance of international collaborations, and the potential for growth in particular areas. Addressing these areas strategically can empower Turkish researchers to enhance their contributions to the field and improve patient care.

Research frontiers and hotspots in optical coherence tomography applications among patients with acute coronary syndromes: Bibliometric and visual analysis.

Research on the use of optical coherence tomography (OCT) in acute coronary syndrome (ACS) has increased in recent years. However, a comprehensive analysis of the trends and hotspots in OCT research is currently lacking. The objective of this study was to identify global trends in research on OCT in ACS from a bibliometric perspective and to provide researchers with new research hotspots. Relevant literature from 1998 to 2023 was retrieved from the Web of Science Core Collection. CiteSpace and VOSviewer software were used to collect and analyze publication trends in related fields. A total of 965 publications from 58 countries and 1389 institutions were included in the present study. We found that Japan produced the most publications (20.83%, 201), followed by the United States (19.90%, 192), and China (14.09%, 136). However, the United States has the highest total number of citations in this field. Harvard Medical School and Harbin Medical University had the highest numbers of publications and citations. The journal with the most publications was the International Journal of Cardiology. Plaque erosion, calcified nodules, and intracoronary imaging are the most recent research hotspots and frontiers. Our work summarizes 25 years of OCT research in the ACS, highlighting hotspots, key themes, and emerging frontiers to help guide future research.

Serve Dynamics: Applying a Bibliometric Approach in the Kinetics and Kinematics Analysis for Flat and Topspin Serves in Tennis

Objectives. The study aimed to completely examine the existing research on the investigation of kinetics and kinematics analysis for flat and topspin serves in tennis, with a special focus on improving performance and reducing injury risks for players. Material and Methods. In order to obtain a comprehensive understanding of the data, Scopus searched three variables in each record: (1) the author’s name, (2) the journal name in which the paper was published, and (3) the total number of citations. Bibliometric analysis was used as part of the analysis. To gain a thorough and accurate comprehension, the data was analyzed and interpreted using a variety of data triangulation techniques. Building distance-based co-occurrence networks for bibliometric analysis and synthesis was carried out using the VOS viewer software. The classification and grouping of the terms derived from titles, abstracts, and keywords were carried out based on their degree of interconnectedness. The terms “Serve Dynamics in Tennis”, “Kinetic Analysis in Tennis serve”, “Kinematic Analysis in Tennis serve”, and “Flat and Topspin serve in Tennis” are frequently used in the study, although their meanings are generally interpreted differently. The search yielded 125 papers and 2807 citations, which were used in the study conducted from 2001 to 2024. Results. The study’s findings revealed the primary authors, countries, and subject areas that contribute to a comprehensive understanding of research patterns, influential studies, authorship dynamics, thematic clusters, and international collaborations in the analysis of the kinetics and kinematics for flat and topspin serves in tennis. Conclusions. The study concludes by consolidating current information and identifying potential avenues for broadening the interdisciplinary scope of tennis serve research.

The Average Data Scientist is an Outlier Achiever in an Information Science Department

The aim of this study was to test whether data science and information science have similar or different publication and citation standards. In order to test this, we applied serpAPI to compare one hundred random Google Scholar data science profiles to their equivalents – one hundred information science profiles. The results indicate that: (a) The yearly average number of data scientist publications (15.70) was over three times higher than for information scientist (4.26). (b) The average citation per paper for data scientists (23.06) was over 4 times higher than the average for information scientists (5.70). (c) The total number of citations of papers published in 2021 for data scientists (334.54) was over 14 times higher than for information scientists (23.38). These results clearly indicate that when making academic career decisions, data scientists should be evaluated according to data science standards which are very different from information science standards.

Bibliometric and visual analysis of single-cell multiomics in neurodegenerative disease arrest studies.

Neurodegenerative diseases are progressive disorders that severely diminish the quality of life of patients. However, research on neurodegenerative diseases needs to be refined and deepened. Single-cell polyomics is a technique for obtaining transcriptomic, proteomic, and other information from a single cell. In recent years, the heat of single-cell multiomics as an emerging research tool for brain science has gradually increased. Therefore, the aim of this study was to analyze the current status and trends of studies related to the application of single-cell multiomics in neurodegenerative diseases through bibliometrics. A total of 596 publications were included in the bibliometric analysis. Between 2015 and 2022, the number of publications increased annually, with the total number of citations increasing significantly, exhibiting the fastest rate of growth between 2019 and 2022. The country/region collaboration map shows that the United States has the most publications and cumulative citations, and that China and the United States have the most collaborations. The institutions that produced the greatest number of articles were Harvard Medical School, Skupin, Alexander, and Wiendl. Among the authors, Heinz had the highest output. Mathys, H accumulated the most citations and was the authoritative author in the field. The journal Nature Communications has published the most literature in this field. A keyword analysis reveals that neurodegenerative diseases and lesions (e.g., Alzheimer's disease, amyloid beta) are the core and foundation of the field. Conversely, single-cell multiomics related research (e.g., single-cell RNA sequencing, bioinformatics) and brain nerve cells (e.g., microglia, astrocytes, neural stem cells) are the hot frontiers of this specialty. Among the references, the article "Single-cell transcriptomic analysis of Alzheimer's disease" is the most frequently cited (1,146 citations), and the article "Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq" was the most cited article in the field. The objective of this study is to employ bibliometric methods to visualize studies related to single-cell multiomics in neurodegenerative diseases. This will enable us to summarize the current state of research and to reveal key trends and emerging hotspots in the field.

Are open science practices in dentistry associated with higher Altmetric scores and citation rates?

AimOpen science, a set of principles and practices, aims to make scientific research more accessible and accountable, benefiting scientists and society. This study evaluated whether adopting open science practices (OSPs) correlates with higher citation rates and Altmetric scores. MethodsA random sample of randomised clinical trials (RCTs) on dental caries published between 2000 and 2022 was selected. A systematic PubMed search identified relevant RCTs, and data on OSPs - study registration, open methodology, open software, open scripts, open analysis plan, open data, open peer review, and open access (OA) - were manually collected by two independent assessors. The Robot Reviewer tool automatically evaluated the risk of bias (RoB). Outcomes included the total number of citations and the Altmetric Attention Score. Associations between OSPs, RoB, and other explanatory variables with the outcomes were assessed using binomial negative regression analysis, and expressed as Incidence Rate Ratio (IRR; α =0.05). ResultsIn total, 323 papers were analysed. At least one OSP was adopted in 57.5 % (n = 186) of the articles, dropping to 39.6 % (n = 128) without OA. Papers with protocol registration (IRR: 1.45; 95 % CI: 1.15, 1.82) and OA publication (IRR: 1.24; 95 % CI: 1.01, 1.53) had higher citation rates. Conversely, papers in full OA journals had fewer citations (IRR: 0.67; 95 % CI: 0.52, 0.87). After adjusting for RoB, low-risk studies showed higher citation rates (IRR: 1.48; 95 % CI: 1.14, 1.91), while OA lost significance. For Altmetric scores, registered and OA manuscripts showed higher scores (IRR: 3.74; 95 % CI: 2.00, 7.01; IRR: 1.69; 95 % CI: 1.04, 2.75), with registration remaining significant after adjusting for RoB and impact factor (IRR: 3.71; 95 % CI: 1.97–6.99). ConclusionThe adoption of OSPs demonstrated a partial correlation with citation rates and Altmetric scores in RCTs on dental caries; however, these effects are complex and seem more related to the journal's impact factor. Clinical significanceThe citations and the attention to clinical trials in dentistry, which could drive clinical decision-making and the elaboration of policies and recommendations, seem to be driven more by the journal's prestige than by the adoption of OSPs.

Analysis of Top 100 Articles Cited in Top Pain Journals: A Comprehensive Two Decade Bibliometric Analysis.

A bibliometric analysis was performed to analyze and compare the top 100 articles from the most well-known five pain journals: Pain, Pain Physician, Pain Medicine, Regional Anesthesia & Pain Medicine, and Journal of Pain. A query of the Scopus database was performed to filter the top 200 most cited articles from each journal. CY score was calculated for the top 200 articles from each journal by dividing the total number of citations by the number of years the article has been published. All articles had a collective analysis of the top CY scores, the top 100 of which were further analyzed. The pain subtype, type of publication, country of origin, and senior author were extrapolated from these top 100 articles. Frequency tables were organized, revealing Pain Journal as the highest publishing journal out of the top 100 articles. Chronic pain was the most studied subtype of pain and narrative reviews were the most common type of evidence. Studies were also organized in five-year epochs to analyze the frequency of publications in these intervals. Results show that 2010-2014 had the highest frequency of articles published overall. Journal Impact Factor (JIF) is also an objective indicator of the average number of citations per published article from each journal. The journal with the highest JIF was Pain with an impact factor of 7.926. (6).

Global research trends in the tumor microenvironment of hepatocellular carcinoma: insights based on bibliometric analysis.

This study aimed to use visual mapping and bibliometric analysis to summarize valuable information on the tumor microenvironment (TME)-related research on hepatocellular carcinoma (HCC) in the past 20 years and to identify the research hotspots and trends in this field. We screened all of the relevant literature on the TME of HCC in the Web of Science database from 2003 to 2023 and analysed the research hotspots and trends in this field via VOSviewer and CiteSpace. A total of 2,157 English studies were collected. According to the prediction, the number of papers that were published in the past three years will be approximately 1,394, accounting for 64.63%. China published the most papers (n=1,525) and had the highest total number of citations (n=32,253). Frontiers In Immunology published the most articles on the TME of HCC (n=75), whereas, Hepatology was the journal with the highest total number of citations (n=4,104) and average number of citations (n=91). The four clusters containing keywords such as "cancer-associated fibroblasts", "hepatic stellate cells", "immune cells", "immunotherapy", "combination therapy", "landscape", "immune infiltration", and "heterogeneity" are currently hot research topics in this field. The keywords "cell death", "ferroptosis", "biomarkers", and "prognostic features" have emerged relatively recently, and these research directions are becoming increasingly popular. We identified four key areas of focus in the study of the TME in HCC: the main components and roles in the TME, immunotherapy, combination therapy, and the microenvironmental landscape. Moreover, the result of our study indicate that effect of ferroptosis on the TME in HCC may become a future research trend.

Endometriosis and Infertility: A Bibliometric Analysis of the 100 Most-Cited Articles from 2000 to 2023

Objectives: This study aimed to conduct a bibliometric analysis of research on endometriosis and infertility, focusing on the 100 most-cited (TOP100) articles in the literature. Design: The design of this study is a bibliometric analysis. Participants/Materials, Setting, Methods: The SCOPUS database was searched using the terms “endometriosis” and “infertility.” The productivity and impact of research publications by authors, countries, and journals were assessed using the following indicators: total number of publications, total number of citations (TNC), journal impact factor, and journal citation indicator. The bibliometric analysis was conducted from January 1, 2000, to December 31, 2023, using IBM SPSS™ for Windows and VOSviewer 1.6.20. VOSviewer was used to evaluate the TNC, total number of authors/coauthors, and collaboration network between countries of the TOP100 articles. VOSviewer was also used to create keyword co-occurrence networks. Results: Of the TOP100 articles, 69 were literature review articles, with a mean of 448.97 ± 513.5 citations (range: 191–2,705). The TOP100 articles were published by 479 authors (mean 5.8 ± 7.3 per study) from 40 countries in 39 high-impact journals. The keyword co-occurrence network revealed a grouping of four clusters, with terms related to pathophysiology, clinical management, assisted reproductive technology, and hormonal treatment of endometriosis. Limitations: The main limitation of our study is the use of only one database and TNC as the main bibliometric indicator. Studies need at least 2–3 years after publication to accumulate sufficient citations for bibliometric indicators to be reliable. This means that large number of recent studies were not included in this bibliometric analysis. Conclusions: This study revealed trends in endometriosis and infertility research, especially in the fields of immunology and genetics. It also highlights the importance of global collaboration to improve diagnostics, treatments, and outcomes.

The Effect of Self-Citation on Scholarly Recognition and Visibility

Self-citation, an important aspect of academic work [1], requires careful oversight to protect the integrity and perception of scholarly contributions. Although self-referencing is often necessary for expanding upon past research, an excessive amount can negatively affect a researcher's reputation and rankings in academic indices. Indices/Lists like the Highly Cited Researcher (HCR) [2] index by Clarivate Analytics often adjust or exclude metrics associated with high self-citation rates to provide a more accurate representation of a researcher's impact, thereby enhancing visibility and credibility. According to the authors of [3] [4], self-citation rates typically range from 7.38% in Economics & Business to 15.6% in Mathematics. The same authors in [3] recommend keeping self-citations below 10%, which aligns with the general agreement among academic institutions and researchers. Maintaining this limit helps in qualifying for prestigious rankings and awards, promoting fair competition in academia. There are several methods to verify the self-citation ratio, with two of the most popular ones being the use of the Scopus platform [5] and the Web of Science (WOS) portal by Clarivate [6]. Scopus and WOS do not directly display the self-citation rate, but they do offer both the total citation count and the count excluding self-citations. Additionally, these portals can generate a citation report for authors, providing details on the number of citations, h-index, citing articles (with an option to exclude self-citations), and a year-by-year breakdown of citation counts. To find the self-citation rate Scopus and WOS, subtract the number of citations excluding self-citations from the total citations, divide this result by the total number of citations, and then multiply by 100 to get the percentage. For instance, if the total citations are 12,526 and the citations excluding self-citations are 12,000, the difference of 526 self-citations divided by the total results in a rate of 4.199%. This percentage indicates how much self-citations add to the overall citation count, which is important for maintaining appropriate citation standards.

Hundred Most Cited Articles in Actinic Keratosis: A Bibliometric Analysis

Abstract Many articles have been published on actinic keratosis. Bibliometric analysis helps identify the most influential studies in a particular field, Our article was to identify the 100 most frequently cited references on actinic keratosis through bibliometric analysis. As of March 1, 2020, actinic keratosis was searched in the Web of Science database and ranked in order of the total number of citations. The top 100 most cited articles in actinic keratosis were analysed. The top 100 most cited articles on actinic keratosis were published between 1982 and 2020. The largest number of articles were published in a single interval in 2001–2005. The average annual citations increased first and then decreased. The total citations were positively correlated with annual citations. The 100 articles were classified into different research focuses: pathogenesis (33%), treatment (24%), clinical features and diagnosis (15%), pathophysiology (8%), epidemiology (5%), associated diseases (2%) and others (13%). Among these 100 articles, 5 were clinical trials, 14 focused on the association between actinic keratosis and P53, and 9 reported the association between actinic keratosis and 5-aminolevulinic acid. The 100 articles were published in 38 journals by 87 different first corresponding authors from 15 different countries, mostly in the USA and Australia. Stockfleth, E from the University of Berlin published the most articles as the corresponding author. The top 100 cited references of actinic keratosis were identified and their bibliometric characteristics were analysed to lay a foundation for further research.

Characteristics and Impact of Randomized Trials on Drugs or Devices in Cardiovascular Medicine.

Clinical trials, essential for medical advancement, vary significantly in methodology and regulatory pathways depending on the type of therapeutic intervention (i.e., drugs or devices). This study aimed to determine whether the drug or device intervention types influence the impact of randomized trials in cardiovascular medicine. We analyzed late-breaking randomized controlled trials presented at major cardiology conferences from 2015 to 2021. The primary endpoint was the total number of citations obtained. Secondary endpoints included the number of citations at 1 and 2 years, number of total and 1-year mentions, and several metrics of study conduct and publication. Statistical analysis included tests for comparisons of continuous or categorical variables, based on their distribution, as appropriate. To adjust the results for potential confounders, univariable and multivariable regression models were utilized. Additionally, sensitivity analyses were conducted to explore both the effect of neutral or positive study outcomes on the comparative impact of drug versus device trials and the impact of the coronavirus disease 2019 (COVID-19) pandemic on the primary endpoint. Of 382 eligible randomized trials, 227 (59.4%) were trials of drugs and 155 (40.6%) were trials of devices. Drug trials had a higher median number of total citations compared to device studies (93 [interquartile range {IQR} 48-137] vs. 82 [IQR 39-192]; p = 0.025). This difference was consistent at 1 and 2 years and was also observed in the number of total mentions and mentions at 1 year. All the metrics of study conduct and publication were similar, except for drug studies being more often stopped prematurely (8.8 vs. 1.9%; p = 0.006). After adjusting for multiple potential confounders, the difference in citations and mentions was no longer statistically significant. However, drug trials remained more likely to be stopped prematurely (adjusted odds ratio = 1.15; 95% confidence interval 1.03-1.28; p = 0.009). Positive study outcomes significantly influenced the number of citations and the likelihood of a trial being stopped prematurely. Drug trials are often stopped early and receive more citations and mentions than device trials. However, these differences are mainly due to factors other than the treatment itself. Studies published simultaneously tend to get more attention, and drug trials with positive results are cited more often than those with neutral results.

A Bibliometric Study from 1992 to 2023 on the Relationship between Biological Clock and Diabetes.

A bibliometric study was conducted to gain deeper insights into the current state of research on diabetes and the biological clock (BC). The study involved a comprehensive search for literature related to diabetes and BC published between 1992 and 2023 in the Web of Science database. Ninety-five articles were published in 65 journals, with six of these journals not included in the Journal Citation Reports as of 2022. Among the remaining 59 journals, 10 had an impact factor (IF) greater than 10, and 21 had an IF greater than 5. Twenty-nine journals belonged to Quartile 1, while 16 journals were part of Quartile 2. The articles were contributed by researchers from 22 countries, with the Netherlands and the USA being the most prolific contributors. However, the total number of citations for articles from the USA was significantly higher than that of the Netherlands. The co-occurrence analysis of title and abstract keywords primarily focused on investigating the mechanisms of BC. Regarding author keywords and keyword-plus, the co-occurrence analysis centered around diabetes and BC. International collaboration was prominent among developed countries, with the Netherlands, the USA, and France being major participants. Institution- wise cooperation primarily occurred between two research institutions in the Netherlands. In total, the 95 articles received 5,157 citations, averaging 54.28 citations per article. To foster advancements in this area, more attention and international cooperation are necessary. Emphasizing collaborative efforts can drive the development of novel approaches to manage diabetes and regulate blood glucose levels effectively.

The power of social media: broader Twitter outreach and higher Altmetric scores significantly amplify neurosurgical citation reach.

The authors sought to quantify the role of social media-related academic activity through use of the Altmetric score (a composite score based on social media attention from a variety of sources) and investigate its potential impact on the number of citations received at 3 years postpublication (articles published between January 2019 and December 2019). Articles published in the top 12 neurosurgical journals according to Google Scholar (based on 5-year Web of Science impact factors, 2017-2021) were identified. Data collected included days since publication, Altmetric scores, and total number of tweets (posts), and 3-year citations were obtained from Google Scholar. A multiple linear regression model was created that featured a blocking method to stratify confounding variables from most to least contributing. Furthermore, the data were dichotomized by publications with ≥ 10 citations (top 25th percentile) and those with < 10 to analyze the impact of the score on total number of citations received at 3 years, using an independent-samples Mann-Whitney U-test. Among 6721 included articles, the mean Altmetric score was 3.76 ± 15.69 and the mean number of citations received was 9.61 ± 22.16. When accounting for relevant control variables, the Altmetric score was a significant predictor of the total number of citations accumulated at 3 years (variability of 10.17%). On statistical testing, the Altmetric score was significantly higher in publications with ≥ 10 citations (p < 0.001). The authors report a strong, statistically significant correlation between the Altmetric score and the number of citations received. To their knowledge, this is the first study to demonstrate the impact of social media academic activity on neurosurgery article citation dissemination, potentially influencing resident medical education.

WoS Based Bibliometric Analysis of Studies on Nursing Informatics in Türkiye.

This study aims to examine the studies on nursing informatics in Türkiye using the bibliometric analysis method. Study data was obtained using Web of Science between 05-12 October 2023. As a result of the screening, 71 studies on nursing informatics in the field of nursing in Türkiye were found and 46 studies were included in the analysis. It was determined that 76.60% of the studies were research articles, most studies were published in the journal Computers Informatics Nursing and most studies were published in 2022. The most publications was determined as Akdeniz University. The most used keyword was "Omaha System", the total number of citations is 276, and the h-index is 9.

Gender-Specific Medicine in the European Society of Cardiology Guidelines from 2018 to 2023: Where Are We Going?

Background/Objectives: Evidence-based medicine (EBM) shapes most clinical guidelines. Although the advent of EBM marked a significant advancement, failure to include sex differences in the study design and analysis of most trials leads to an under-representation of gender-specific medicine (GM) in EBM-directed guidelines. In this review, we evaluated how the topic of GM was developed in the guidelines produced by the European Society of Cardiology (ESC) from 2018 to 2023. Methods: Two independent reviewers evaluated 24 ESC guidelines. Significant mentions of GM were counted and divided between epidemiology, diagnosis, and therapeutics. The qualitative and semi-quantitative analysis of information relating to GM was performed. Data on the number of citations of papers with a title concerning GM and the prevalence and role of women in guidelines' authorship were also analyzed. Results: Less than 50% of guidelines had a section dedicated to GM. Only nine guidelines were led by a woman, and 144/567 authors were female. In the most recent guidelines and in those with at least 30% of female authors, there was an increased mention of GM. On average, guidelines had four significant mentions of GM regarding epidemiology, two regarding diagnosis, and one regarding therapy. Articles with titles concerning GM made up, on average, 1.5% of the total number of citations. Conclusions: Although sex differences play a significant role in most clinical scenarios, ESC guidelines still do not sufficiently account for this. The problem does not seem to solely lie in the guidelines, but in the lack of attention to GM in research needed for their preparation.

Top 50 most influential publications in robotic-assisted pulmonary lobectomy

BackgroundSince the early 2000s, robotic-assisted surgery has evolved in the field of thoracic surgery, and robotic-assisted pulmonary lobectomy (RAPL) has become a popular and safe treatment method for patients seeking removal of lung cancer. The purpose of the current study was to identify and examine the top-50 most influential articles in RAPL from 2003 to 2021 using bibliometric analysis. Hypothesis, materials, and methodsThe Clarivate Web of Science Core Collection was systematically searched to gather data on RAPL. Descriptive information for each article was collected and reported using descriptive statistics. The terms “robotic” AND “pulmonary” AND “lobectomy” were used to search this database and returned 468 articles published since 2003. ResultsBibliometric analysis of the top-50 most influential manuscripts concluded that these articles were published between the years 2003 and 2021 and were collectively cited 2476 times. Mean number of total citations per article was 49.5 (95% confidence interval [37.8, 61.2]). The most influential articles experienced greatest increase in citations in 2020 with 450 total citations and an average of 9.0 citations per article. Our analysis demonstrated an increase in total number of citations for RAPL from 2003 to 2021, and 68% of the most cited articles were published after 2016. All 50 articles were published in English, and the United States (32) and the People's Republic of China (6) had the top number of publications. The top affiliation was the University of Michigan with 6 publications. The most popular journals were Annals of Thoracic Surgery and the Journal of Thoracic and Cardiovascular Surgery, with 7 and 6, respectively, of the top 50 manuscripts. ConclusionGiven the rising popularity of RAPL since 2003, a current list of the most influential articles in RAPL can provide a reference point to guide better practice and address future areas of thoracic research.

Study of Variations of Citation-based Parameters for Selected Indian Science Journals

The ratio of the total number of citations to the total number of cited papers was predicted as a constant by Garfield. But, later he observed the changing nature of this constant over time. Scientometricians called it the ‘Garfield Ratio’ rather than the ‘Garfield Constant’. ‘Garfield Ratio’ is a well-known citation-based parameter that indicates the average citation per cited article. However, Garfield still pointed out that behind this ratio some deeper regularity may be found. In this paper, an analysis of this indicator, the Garfield Ratio (GR)Y is attempted for twelve prominent Indian science journals from 2009 to 2020. Two other formulae for Garfield Ratio are introduced here, i.e. Modified Garfield Ratio for the year ‘Y’ (GRM)Y and Time-Normalised Garfield Ratio for the year ‘Y’ (GRN)Y. The year-wise analysis of these two Garfield Ratios, i.e., (GRM)Y and (GRN)Y for the twelve journals over twelve years is also carried out. The temporal variations of (GR)Y, (GRM)Y and (GRN)Y are interpreted by seven statistical parameters, i.e. mean, median, standard deviation, range, coefficient of variation, skewness and kurtosis. The temporal variations of (GR)Y for twelve journals are viewed by regression analysis to find out the best-fit function.

Exploring global research trends in Chinese medicine for atherosclerosis: a bibliometric study 2012-2023.

While Traditional Chinese Medicine (TCM) boasts an extensive historical lineage and abundant clinical expertise in addressing atherosclerosis, this field is yet to be penetrated adequately by bibliometric studies. This study is envisaged to evaluate the contemporary scenario of TCM in conjunction with atherosclerosis over the preceding decade while also identifying forthcoming research trends and emerging topics via the lens of bibliometric analysis. Literature pertaining to TCM and atherosclerosis, circulated between January 1, 2012 and November 14, 2023, was garnered for the purpose of this research. The examination embraced annual publications, primary countries/regions, engaged institutions and authors, scholarly journals, references, and keywords, utilizing analytical tools like Bibliometrix, CiteSpace, ScimagoGraphica, and VOSviewer present in the R package. This field boasts a total of 1,623 scholarly articles, the majority of which have been contributed by China in this field, with significant contributions stemming from the China Academy of Traditional Chinese Medicine and the Beijing University of Traditional Chinese Medicine. Moreover, this field has received financial support from both the National Natural Science Foundation of China and the National Key Basic Research Development Program. Wang Yong tops the list in terms of publication count, while Xu Hao's articles take the lead for the total number of citations, positioning them at the core of the authors' collaborative network. The Journal of Ethnopharmacology leads with the most publications and boasts the greatest total number of citations. Principal research foci within the intersection of Chinese Medicine and Atherosclerosis encompass disease characteristics and pathogenic mechanisms, theoretical underpinnings and syndrome-specific treatments in Chinese medicine, potentialities of herbal interventions, and modulation exerted by Chinese medicines on gut microbiota. This analysis offers a sweeping survey of the contemporary condition, principal foci, and progressive trends in worldwide research related to Traditional Chinese Medicine (TCM) and atherosclerosis. It further delves into an in-depth dissection of prominent countries, research institutions, and scholars that have made noteworthy strides in this discipline. Additionally, the report analyzes the most cited articles, research developments, and hotspots in the field, providing a reference for future research directions for clinical researchers and practitioners.