Cooperation Network Analysis Research Articles

Mapping the research of nursing in Parkinson's disease: a bibliometric and quantitative analysis.

Parkinson's disease (PD) is a chronic and progressive neurodegenerative disorder. Clinically, the therapeutic strategy of PD could only alleviate the symptoms. Nursing plays a crucial role in providing patient education, symptom management, and psychosocial support. This study aims to analyze the current state and prospects of research in the field of Parkinson's disease (PD) and its associated nursing care through bibliometric methods to explore the trends that May guide its future development. Literature related to Parkinson's disease and nursing care was systematically searched by the Web of Science database from 1991 to 2023. Quantitative analysis of cooperative networks was conducted using bibliometric tools VOSviewer and CiteSpace. The analysis covered 2,649 publications in the field of PD and nursing care, authored by 12,576 researchers from 3,869 institutions across 94 countries. The number of articles has steadily increased over the past 20 years. In this research field, the United States and the United Kingdom emerged as leading countries, and Radboud Universiteit Nijmegen was positioned as an international hub. Movement Disorders was identified as the journal with the highest output and with the most co-citation. Prof. Bastiaan R. Bloem published the most papers in the area, and Prof. Per Odin had the highest average citation. The major fields of these publications are clinical neurology, geriatrics & gerontology, multidisciplinary sciences, and health care sciences & services. Hot topics in the field predominantly revolve around Parkinson's disease, quality of life, and dementia. Research in Parkinson's disease and nursing care is experiencing a period of rapid growth, with continuous expansion in research scope and depth of investigation. One of the trends identified is the increasing focus on quality of life and the management of dementia in PD patients, reflecting the importance of these areas in research. The study further suggests that future advancements in the field May rely significantly on strengthening international collaborations and addressing global disparities in resource distribution, particularly by promoting research inclusivity and cooperation among low-resource countries.

A Bibliometric Analysis of Metabolic Reprogramming in the Tumor Microenvironment From 2003 to 2022.

Despite considerable progress in cancer immunotherapy, it is not available for many patients. Resistance to immune checkpoint blockers arises from the intricate interactions between cancer and its microenvironment. Metabolic reprogramming in tumor and immune cells in the tumor microenvironment (TME) influences anti-tumor immune responses by remodeling the immune microenvironment. Metabolic reprogramming has emerged as an important hallmark of tumorigenesis. However, few studies have focused on the TME and metabolic reprogramming. Therefore, we aimed to explore the current research status and popular topics in TME-related metabolic reprogramming over a 20 years using a bibliometric approach. Studies focusing on metabolic reprogramming and TME were searched using the Web of Science Core Collection database. Bibliometric and visual analyses of the articles and reviews were performed using Bibliometrix, VOSviewer, and CiteSpace. In total, 4726 articles published between 2003 and 2022 were selected. The number of publications and citations has increased annually. Cooperation network analysis indicated that the United States holds the foremost position in metabolic reprogramming and TME research with the highest volume of publications and citations, thus exerting the greatest influence. Among these institutions, Fudan University displayed the highest level of productivity. Frontiers in Immunology showed the highest degree of productivity in this field. Ho Ping-Chih made the most article contributions, and Pearce Edward J. was the most co-cited author. Four clusters were obtained after a cluster analysis of the authors' keywords: TME, metabolic reprogramming, immunometabolism, and immunity. Immunometabolism, glycolysis, immune cells, and tumor-associated macrophages are relatively recent keywords that have attracted increasing attention. A comprehensive landscape of advancements in metabolic reprogramming and the TME was evaluated, which provided crucial information for scholars to further advance this promising field. Further research should explore new topics related to immunometabolism in the TME using a transdisciplinary approach.

Analysis and prediction of the Horizon 2020 R&D&I collaboration network

This study presents a novel link prediction model for the analysis and prediction of collaboration networks in the context of H2020 projects. This model incorporates various databases and expands the list of variables used in the analysis. In this study, the accuracy and interpretability of both generic and nongeneric link prediction algorithms are examined through a comprehensive analysis. Additionally, collaborative groups that exhibit stronger linkages than initially anticipated are examined, and their prevalence across different regions is evaluated. In this study, it was found that the collaboration network within H2020 has significant concentration and fragmentation levels. Moreover, several key factors that strongly influence collaboration, including prior and concurrent project involvement, earned contribution, and the economic and technological characteristics of participating businesses, were identified. This study additionally demonstrated that cooperative communities exhibit geographical concentration in western Europe, whereas nongeneric models offer improved predictive accuracy for identifying relationships. This research contributes to the field of cooperation network analysis and offers guidance to decision-makers on strategies to promote future collaborations in the context of FP.

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 BIBLIOMETRIC ANALYSIS OF TALENT MANAGEMENT:” CO-CITATION AND CLUSTER PERSPECTIVES”

The current study's goals are to compile the body of knowledge on talent management, trace its historical evolution, examine the intellectual and social structures that underpin it, and suggest cluster-based issues for further talent management research. Donthu et al. (2021) suggested a framework-based bibliometric review that used the Scopus database to retrieve literature. Researchers used the VOS Viewer tool to analyse and present data in both tabular and graphical formats for descriptive and network analysis. The conceptual structure of the bibliographic data in this research area was made clear via co-citation analysis. Four-word frequency clusters were found by this research. Furthermore, it was demonstrated by author cooperation network analysis that in order to understand talent management, researchers looked into a variety of subjects, such as cultural influences, gamifications, social endorsements, and sustainability practices in the various contexts. By using network analysis to produce cluster-based themes, the study introduces a fresh methodology and provides insightful advice for future talent management research projects. Using the Scopus database is another novel feature that shows a deliberate attempt to thoroughly synthesize the literature and include a range of viewpoints and conclusions in the study.

Association between periodontal disease and coronary heart disease: A bibliometric analysis

BackgroundPeriodontal disease and coronary heart disease are both prevalent diseases worldwide and cause patients physical and mental suffering and a global burden. Recent studies have suggested a link between periodontal disease and coronary heart disease, but there is less research in this field from the perspective of bibliometrics. ObjectiveThis study aimed to quantitatively analyze the literature on periodontal disease and coronary heart disease to summarize intellectual bases, research hotspots, and emerging trends and pave the way for future research. MethodsThe Science Citation Index Expanded database was used to retrieve study records on periodontal disease and coronary heart disease from 1993 to 2022. After manual screening, the data were used for cooperative network analysis (including countries/regions, institutions and authors), keyword analysis, and reference co-citation analysis by CiteSpace software. Microsoft Excel 2019 was applied for curve fitting of annual trend in publications and citations. ResultsA total of 580 studies were included in the analysis. The number of publications and citations in this field has shown an upward trend over the past 30 years. There was less direct collaboration among authors and institutions in this field but closer collaboration between countries. The United States was the country with the most published articles in this field (169/580, 29.14%). Based on the results of keyword analysis and literature co-citation analysis, C-reactive protein, oral flora, atherosclerosis, infection, and inflammation were previous research hotspots, while global burden and cardiovascular outcomes were considered emerging trends in this field. ConclusionStudies on periodontal disease and coronary heart disease, which have attracted the attention of an increasing number of researchers, have been successfully analyzed using bibliometrics and visualization techniques. This paper will help scholars better understand the dynamic evolution of periodontal disease and coronary heart disease and point out the direction for future research. Clinical significanceThis paper presents an overview between periodontal disease and coronary heart disease. Further exploration of the two diseases themselves and the potential causal relationship between the two is necessary and relevant, which may impact basic research, diagnosis, and treatment related to both diseases. This will aid the work of researchers and specialist doctors, and ultimately benefit patients with both diseases.

Development and trends of constructed wetland substrates over the past 30 years: a literature visualization analysis based on CiteSpace.

Constructed wetland substrates (CWSs) have received considerable attention owing to their importance in adsorbing and degrading pollutants, providing growth attachment points for microorganisms, and supporting wetland plants. There are differences in the configurations and functions of constructed wetlands (CWs) for treating different water bodies and sewage, resulting in a wide variety of substrates. Research on the application and mechanism of CWSs is not sufficiently systematic. Therefore, the current research advancements and hotspots must be identified. Hence, we used CiteSpace to analyze 1955 English publications from the core collection database of the Web of Science to assess the current state of the CWS research field. Based on the cooperative network analysis, the roles of various countries, institutions, and authors in research on CWSs were reviewed. Keyword co-occurrence and cluster analyses were used to discuss the transformation of CWSs from removing traditional pollutants to emerging pollutants and the transition from incorporating natural substrates to artificial substrates. Finally, we underscored the need for more emphasis to be placed on the collocation and application of the CWSs at different latitudes. Furthermore, the substrate micro-interface process and its effects on the interaction patterns of pollutants and microorganisms should be thoroughly investigated to provide theoretical guidance for the development of wetland applications and mechanisms.

Competitiveness Evaluation and Cooperation Network Analysis of Tourist Attractions from the Perspective of Co-Opetition in the Yangtze River Delta (YRD)

Cooperation among tourist attractions has encouraged a new form of competition among tourist destinations. Regional tourism cooperation can create win–win scenarios for participating tourist destinations, such as complementary advantages and improved comprehensive competitiveness. This study constructed a competitiveness measurement model and evaluated the competitiveness of tourist attractions. The index variables were set to modify and establish the gravity models (GMs). The cooperation network was established using Ucinet 6.0 software, and the competitive value of the tourist attractions and the structure characteristics of the network were analyzed. The results indicate that the competitiveness of tourist attractions in Jiangsu Province and Zhejiang Province is strong, while that of attractions in Anhui Province and Shanghai is weak. Tourist attractions in Shanghai, Suzhou, and Hangzhou have strong gravity for cooperation. Furthermore, the density of the cooperation network is high. The core members of the network are mainly distributed in the eastern region of the YRD and play a core role in the tourism cooperation therein. The cooperation network can be divided into four subgroups at level 2 and seven subgroups at level 3. The conclusions of this study can help the government formulate more targeted regional tourism cooperation policies.

Trends and development in perioperative enteral nutrition: a systematic bibliometric analysis.

This research aims to explore the intellectual landscape of studies in perioperative enteral nutrition (PEN) and identify trends and research frontiers in the field. Scientometric research was conducted through the analysis of bibliographic records from the Web of Science Core Collection Database for the period 2014-2023. Analyses performed using CiteSpace software included cooperation network analysis, reference co-citation analysis, and keywords co-occurrence analysis. The analysis included 3,671 valid records in the final dataset. Findings indicate an upward trend in annual publications, with the United States leading in research output and Harvard University as the top publishing institution. The Journal of Parenteral and Enteral Nutrition was identified as the most productive journal. Notable research hotspots include enhanced recovery after surgery, early enteral nutrition, intestinal failure, short bowel syndrome, abdominal surgery. Evidence-based articles have emerged as the predominant literature type. Future research trends are anticipated to focus on gut microbiota and patients with congenital heart disease. Our study provides a comprehensive analysis of the publication volume, contributions by country/region and institutions, journal outlets, and reference and keyword clusters in the field of PEN over the decade. The findings provide valuable insights for researchers, policymakers, and clinicians, helping them comprehend the research landscape, identify gaps, and shape future research directions in this field.

Misinformation in Communication Studies: A Review and Bibliometric Analysis

The dissemination of misinformation is a concern for political parties, news consumers and scholars of communication, and the purpose of this paper is to explore the current state, development, and important issues of misinformation research in the field of communication over the past decade. This study analysed 768 SSCI articles from the year 2014-2023 through the Web of Science database using bibliometrics. The study found that the number of published papers peaked in 2022 with 191 SSCI papers, and is considered the highest number recorded. Michael Hameleers, a scholar from the University of Amsterdam, U.S., are the largest contributor in research literature on misinformation in the field of communication at the macro, meso, and micro levels, respectively; meanwhile, "Health Communication" was the largest contributing journal. Three national level cooperation networks were seen through the cooperation network analysis, which were the United States of America, European and Asian cooperation networks; and from the institutional perspective, four basic cooperation networks were formed; whilst from the author perspective, the largest cooperation network had 22 researchers. These findings indicated that there is well-established cooperation network of authors research about misinformation in communication field. Through the citation and co-citation analysis, it was concluded that the most influential researcher in the field of communication is Emily K. Vraga. Through the cluster analysis of communication area, the misinformation studies was mainly found in the research of sharing information, governance, health, and politics. This study provides a macro framework for future researchers to examine pertinent issues of misinformation in the field of communication. Keywords: Misinformation, communication, bibliometric analysis, social media, research scholar.

Research hotspots and emerging trends in the treatment of Sjogren's syndrome: A bibliometric analysis from 1900 to 2022

ObjectiveSjogren's syndrome (SS) is an autoimmune disease that mainly affects the salivary and lacrimal glands and further leads to dry mouth and eyes. In recent years, knowledge about the treatment of SS is developing rapidly. This study aims to assess research progress on SS treatment using a bibliometric approach and to identify research hotspots and emerging trends in this area. MethodsThe publications related to the treatment of SS were retrieved from the Science Citation Index Expanded (SCI-E) database. The following search terms were used to extract document data: TS=(Sjogren* OR Sicca*) AND TS= (Treat* OR Therap* OR Disease Management). Articles and review articles published in English from 1900 to 2022 were selected. After the manual screening, the publication data were exported to a plain text file and applied for cooperative network analysis, keyword analysis, and reference co-citation analysis by using CiteSpace. ResultsA total of 2038 publications were included in the analysis from 571 journals by 9063 authors. The annual number of published studies and times cited showed an overall upward trend since 1992. There was a degree of national/regional collaboration in this area, but direct collaboration between institutions and authors was still lacking. The country with the highest number of publications was in the United States, followed by China and Japan. Five SS-related treatments as the research hotspots were summarized by analyzing keywords and references, including immunosuppressive and anti-inflammatory therapy, regenerative therapy, gene therapy, surgical treatment, and symptomatic treatment. Among them, B cells, T cells, mucosal-associated invariant T (MAIT) cells, mesenchymal stem cells (MSCs), rituximab, belimumab, cell-target therapy, and immunosuppressive and anti-inflammatory therapy were emerging trends in this field. ConclusionsThis study conducted a data-based and objective introduction to the treatment of SS from a fresh perspective. An analysis of the intellectual bases, research hotspots, and emerging trends in the field will contribute to future research and treatment decisions, which will ultimately benefit SS patients.

Bibliometric Analysis of Higher Education Restructuring

The spread of competitive elements and the well-being of human capital increase productivity capacities in scientific content. Research and development activities are prioritized in higher education, international trends and modern paradigms are taken into consideration. In the study, a visual map of the studies prepared on the restructuring of higher education on a global scale was prepared and it was aimed to determine the trends in the literature with bibliometric analysis. Between 2002 and 2022, a total of 585 articles in the Scopus and WoS database were identified and analyzed by keyword analysis, cooperation network analysis, social network analysis methods. The most commonly used keywords were "higher education, education, university, restructuring and neoliberalism", the largest clusters defined in the network were "higher education, humanities, education policy", and the smallest cluster was "higher education policy". Among these clusters, the largest cluster is the "higher education" cluster, the average year of the publications cited jointly is 2011, and the newest issues are "humanities and higher education policy". According to the timeline map, there was a focus on the keywords "higher education, curriculum, neoliberalism, China, student, administration". In the early days, the focus was on "higher education, curriculum", then "higher education policy, innovation, management, organizational change, university reform, savings", and after 2020, the keywords "Covid 19, pandemic, distance education, student". The keywords with the most citation explosions were initially "Eurasia", in the middle "management, higher education, student", and after 2020, "student, Covid 19, human". The highest explosion of citations occurred from the word "Eurasia" between 2005 and 2009.

Comparative Analysis of Arctic-Related Strategies at the National Level: Competition and Collaboration

The melting of ice creates favorable conditions for the development of the Arctic by elevating the Arctic’s geostrategic value and stoking national competition. As a result, many states, both within and beyond the Arctic region, have recently released Arctic strategies or updated existing ones, clarifying their roles, interests, priorities, and policies for Arctic international cooperation. In this study, a database is generated with a collection of Arctic strategies from 16 states, and then grounded theory is applied to code the texts in these strategy documents. Using this code, word-frequency analysis, cross-tabulation, correlation analysis, and cooperative-network analysis are implemented to explore competition and collaboration in the Arctic among these 16 states. The results indicate that Arctic states are significantly concerned with governance, economic and social development, and security and stability, while environmental protection and scientific research are given more attention by non-Arctic states. In addition, the highest value of the Pearson correlation coefficient is identified as 0.85 for collaboration and Arctic public security affairs, which indicates that collaboration on Arctic security will dominate the development of Arctic affairs in the near future.

Knowledge mapping of early-onset colorectal cancer from 2000 to 2022: A bibliometric analysis

The incidence of early-onset colorectal cancer (EO-CRC), diagnosed in patients younger than 50 years, has increased in incidence alarmingly over the past few decades, while overall incidence and mortality of colorectal cancer are stabilizing or declining in many high-income countries. These unfavorable changes have raised significant concerns and led to extensive research, resulting in a surge in studies on EO-CRC. Our aim was to obtain a more comprehensive understanding of the current state of this field and to identify prospective research directions by performing a bibliometric analysis of EO-CRC. A total of 1952 papers on EO-CRC published from 2000 to 2022 were identified after a thorough search of the Web of Science Core Collection. The United States dominated this field, with Harvard University contributing the greatest number of papers, while the journal Familial Cancer (n = 52) published the most articles. Cooperation network analysis revealed close internal cooperation among countries, institutions and authors. Based on reference and keyword analysis, high-frequency keywords showed several popular research directions, including epidemiology (incidence, young patients, age of onset, etc.), risk factors (obesity, family history, lynch syndrome, etc.) and molecular characterization (germline mutation, genome wide association, MLH1, etc.). Overall, our research provides an overview of the current status in this field, which we hope will give researchers a comprehensive perspective on the present trends within this domain.

Cooperative networks in team invasion games: A systematic mapping review

Team invasion games are sports in which individual team members interact and exchange information to coordinate their behaviours and actions in pursuit of the common goal of winning matches. Researchers have used social network analysis to quantify the cooperative behaviours of sports teams (cooperative network analysis), yet this research exists across an array of disciplines and uses various methods. Therefore, accessibility for practitioners and researchers interested in using it to quantify team cooperation in team invasion games may be limited. This systematic mapping review aimed to identify, report and discuss research in this emerging research area. Articles were systematically searched in electronic databases and reference list scans resulting in 112 papers included. Football was the most studied sport ( n = 91), and passing was the most observed interaction between players within a sports team ( n = 107). This review further revealed a lack of consistency in reporting between the included studies with respect to nomenclature and network measures. A comprehensive map of the current literature on the use of cooperative network analysis in team invasion games is provided which can be used by practitioners and researchers tasked with or interested in analysing team performance.

A Bibliometric Review of Household Carbon Footprint during 2000–2022

With the increasing contribution of household carbon footprint to the global carbon footprint, household carbon footprint as a critical component of future carbon reduction has become a research hotspot to mitigate global warming and maintain sustainable economic development. The Web of Science (WOS) database is the literature data source. The literature on household carbon footprint is analyzed with the help of the visualization software CiteSpace. The collected data are analyzed using bibliometric analysis tools for knowledge base analysis, cooperative network analysis, and knowledge evolution analysis to grasp the developmental pulse of household carbon footprint. The findings show that the co-citation analysis reveals that household carbon footprint research has a clear knowledge base and shows a clear trend over time. The classic literature lays the foundation for subsequent diversified and interdisciplinary articles. The subsequent research hotspots show apparent inheritance and development characteristics, with many diversified and interdisciplinary studies appearing after 2008. Based on the three-level cooperation network analysis, household carbon footprint research has a clear structure of research cooperation network. Cross-institution and cross-country articles collaborate frequently; most authors tend to co-author articles, and there are still a small number of authors who write independently, among which China, Chinese institutions, and Chinese authors make significant contributions. Developed countries represented by the U.S. have chosen cross-region cooperation at the macro level through multifaceted research. The co-word and journal overlay analyses reveal that household carbon footprint research encompasses various research topics. The apparent shift of keywords within each research phase directly proves that household carbon footprint research is gradually developing into an interdisciplinary and diversified homogeneous field. This paper analyzes the evolution of household carbon footprint in detail and composes the basic knowledge which can provide a reliable reference for subsequent scholars.

The interaction between microbiota and immune in intestinal inflammatory diseases: Global research status and trends.

This study aimed to conduct a bibliometric analysis of the relevant literature on the interaction between microbiota and immune in intestinal inflammatory diseases, and show its current status, hotspots, and development trends. The related literature was acquired from the Web of Science Core Collection on October 12, 2022. Co-occurrence and cooperation relationship analysis of authors, institutions, countries, references, and keywords in the literature were carried out through CiteSpace 6.1.R3 software and the Online Analysis platform of Literature Metrology. At the same time, the relevant knowledge maps were drawn, and the keywords cluster analysis and emergence analysis were performed. 3,608 related publications were included, showing that the number of articles in this field is increasing year by year. The results showed that Gasbarrini A and Sokol H were the authors with the highest cumulative number of articles with 25, and the institution with the most articles was Harvard University with 142 articles. The USA was far ahead in the article output, with 1,131 articles, and had a dominant role, followed by China with 707 articles. The journal Frontiers in Immunology contributed the most to this research field with 213 articles. In the cooperation network analysis, the USA, Harvard University, and Xavier RJ were the most widely collaborated country, institution, and author, respectively, which implied a high level of influence. Keywords analysis showed that there were 770 keywords, which were mainly classified as internal related diseases, such as "inflammatory bowel disease", "irritable bowel syndrome", "colorectal cancer", and the mechanism of interaction of microbiota and immune, such as "intestinal microbiota", "commensal microbiota", "regulatory T cell", "dendritic cell", "barrier function", "activation", "anti-inflammatory properties", "intestinal epithelium", and "diversity". Emerging analysis showed that future research hotspots and trends might be the short-chain fatty acid, gut dysbiosis, gut-liver axis, and fusobacterium nucleatum. This research was the first bibliometric analysis of publications in the field of interaction between microbiota and immune in intestinal inflammatory diseases using visualization software and data information mining, and obtained the current status, hotspots, and development of this field, which provides a theoretical basis for its scientific research.

Advances in studies on the plant rhizosphere microorganisms in wetlands: A visualization analysis based on CiteSpace

Rhizosphere microorganisms and their interactions with plants in wetlands have recently attracted much attention due to their importance in enhancing plant environmental adaptation, removing wetland pollutants, and alleviating climate change. However, the fluctuating hydrological environment of wetlands leads to more complex dynamics in the rhizosphere environment. Research progress and hotspots concerning plant-rhizosphere microorganisms under special wetland environments are still kept unclear. To better understand the current research status, hotspots and trends of rhizosphere microorganisms in wetlands, we used CiteSpace bibliometric software to visualize and analyze 231 English-language publications from the Web of Science core collection database. Here, we reviewed the role played by various countries, institutions, and scholars in the studies of plant rhizosphere microorganisms in wetlands based on cooperation network analysis. We discussed the shift from bioremediation and nutrient removal to rhizosphere microbial community composition as a research hotspot for plant rhizosphere microorganisms in wetlands according to keyword co-occurrence and clustering analysis. Finally, we highlighted that more attention should be paid to the ecological functions of rhizosphere microorganisms in different wetland ecosystems, and the plant‒microbe microinterface processes and interaction patterns should be explored in depth to provide new indicators for the evaluation of wetland ecosystem functions.

A bibliometric analysis of autophagy in lung diseases from 2012 to 2021.

Autophagy refers to the process in which cells wrap their damaged organelles or unwanted proteins into a double-membrane structure and direct them to lysosomes for degradation. Autophagy can regulate many lung diseases such as pulmonary hypertension, acute lung injury, and lung cancer. However, few bibliometric studies on autophagy are available. The aim of the present study was to clarify the role of autophagy in lung diseases by bibliometric analysis. Publications were retrieved from the 2012-2021 Science Citation Index Expanded of Web of Science Core Collection on 20 September 2022. Bibliometrix package in R software was used for data retrieval. VOSviewer and CiteSpace were used to visualize the research focus and trend regarding the effect of autophagy on lung disease. A total of 4,522 original articles and reviews on autophagy in lung diseases published between 2012 and 2021 were identified. China had the largest number of published papers and citations, whereas the United States (US) ranked first in the H-index and G-index. Moreover, cooperation network analysis showed close cooperation between the US, China, and some European countries, and the top 10 affiliates were all from these countries and regions. Bibliometric analysis showed that "autophagy" and "apoptosis" were the keywords with the highest frequency. During the past decade, most studies were concerned with basic research on pathways related to the regulatory role of autophagy in the inhibition and attenuation of lung diseases. The study of autophagy in lung diseases is still in the development stage. The information published in these articles has helped researchers understand further the hot spots and development trends in the field more and learn about the collaboration network information regarding authors, countries, and institutions, as well as the paper citation correlation. More studies have been performed to gain deeper insights into the pathogenesis of autophagy by focusing on the links and effects between various diseases. More recently, research in this field has paid increasing attention to the function of autophagy in COVID-19-related lung diseases.

Global research trends on inflammatory bowel diseases and colorectal cancer: A bibliometric and visualized study from 2012 to 2021.

Inflammatory bowel disease (IBD) is a chronic non-specific inflammatory disease of intestinal tract and a common digestive system disease. Current studies have shown that IBD significantly increases the incidence of colorectal cancer (CRC), and is positively correlated with the degree and extent of inflammation of IBD. The relationship between IBD and CRC has attracted extensive attention. However, the relationship between IBD and CRC has not been systematically studied by bibliometrics and visual analysis. This study conducted bibliometric analysis based on 3528 publications from the Core Collection of Web of Science to determine the research status, research hotspots and frontiers of this field. The results show that the number of publications has increased significantly over the past 10 years. The cooperative network analysis shows that the United States, Mayo Clin and Bo Shen are the country, institution and author with the most publications respectively. Belgium, Icahn Sch Med Mt Sinai and Erik Mooiweer are the most collaborative country, institution and author respectively. Analysis of keywords and references showed that inflammation, intestinal flora, and obesity were hot topics in this field. Analysis of keyword outbreaks shows that the gut microbiome and metabolism will be an emerging new research area and a potential hot spot for future research. This study is the first to visually examine the association between IBD and CRC using bibliometrics and visual analysis, and to predict potential future research trends.