Research status and hotspots of tight junctions and colorectal cancer:A bibliometric and visualization analysis

BACKGROUND Colorectal cancer(CRC)is the third most common cancer worldwide and the second leading cause of cancer-related death.Over the past two decades,numerous researchers have provided important evidence regarding the role of tight junction(TJ)proteins in the occurrence and progression of CRC.The causal relationship between the presence of specific TJ proteins and the development of CRC has also been confirmed.Despite the large number of publications in this field,a bibliometric study to review the current state of research and highlight the research trends and hotspots in this field has not yet been performed.AIM To analyze research on TJs and CRC,summarize the field’s history and current status,and predict future research directions.METHODS We searched the Science Citation Index Expanded database for all literature on CRC and TJs from 2001-2023.We used bibliometrics to analyze the data of these papers,such as the authors,countries,institutions,and references.Co-authorship,co-citation,and co-occurrence analyses were the main methods of analysis.CiteSpace and VOSviewer were used to visualize the results.RESULTS A total of 205 studies were ultimately identified.The number of publications on this topic has steadily increased since 2007.China and the United States have made the largest contributions to this field.Anticancer Research was the most prolific journal,publishing 8 articles,while the journal Oncogene had the highest average citation rate(68.33).Professor Dhawan P was the most prolific and cited author in this field.Co-occurrence analysis of keywords revealed that“tight junction protein expression”,“colorectal cancer”,“intestinal microbiota”,and“inflammatory bowel disease”had the highest frequency of occurrence,revealing the research hotspots and trends in this field.CONCLUSION This bibliometric analysis evaluated the scope and trends of TJ proteins in CRC,providing valuable research perspectives and future directions for studying the connection between the two.It is recommended to focus on emerging research hotspots,such as the correlations among intestinal microbiota,inflammatory bowel disease,TJ protein expression,and CRC.

Hotspots and research trends of Piwi-interacting RNAs from 2006 to 2023 based on bibliometric analysis

Background:Piwi-interacting RNAs(piRNAs)are a type of non-coding RNAs,initially identified in germ cells in 2006,known to bind to the Piwi family proteins.Accumulating studies indicate their importance in genome stability,epigenetics regulation,germ cell differentiation,and tumor development.Despite growing interest in piRNA research,there is a lack of comprehensive bibliometric studies on the subject.This study aims to analyze piRNA research trends from 2006 to 2023.Methods:The literature regarding piRNA was sourced from the Web of Science on April 25,2023.VOSviewer,CiteSpace and a bibliometric online website(https://bibliometric.com/app)were employed to perform bibliometric analysis.Network maps were constructed to evaluate the collaborations among countries,institutions,authors,journals,references,keywords,and research hot pots.Results:In this study,2549 literature were published across 464 countries and 6921 institutions,comprising 2010 articles and 539 reviews.The United States led in publication output(n=1011,39.66%),followed by China(635,24.91%).The University of Tokyo had the most publications among all institutions(n=100,3.92%),followed by the Chinese Academy of Sciences(n=86,3.37%).Among 631 published journals,Nucleic Acids Research was the most published journal(n=83,3.26%).Siomi Mikiko C published the most articles(n=58),with Aravin Alexei A as the most co-cited author.Analysis of term co-occurrence unveiled three highly interconnected clusters,including“piRNA biogenesis and function”,“cancer and regulation”,as well as“protein and species”.The research focus has transferred from male reproductive development to tumor progression.Conclusion:This bibliometric analysis offered a thorough overview of the current state of piRNA research,deepening understanding of the progress in this field over the last 17 years and providing a valuable reference for scholars engaged in piRNA studies.

Global research trends and hotspots in overweight/obese comorbid with depression among children and adolescents: A bibliometric analysis

BACKGROUND Overweight/obesity combined with depression among children and adolescents(ODCA)is a global concern.The bidirectional relationship between depression and overweight/obesity often leads to their comorbidity.Childhood and adolescence represent critical periods for physical and psychological development,during which the comorbidity of overweight/obesity and depression may increase the risk of adverse health outcomes.AIM To evaluate the relationship between ODCA,we conduct a bibliometric analysis to aid in formulating prevention and treatment strategies.METHODS From 2004 to 2023,articles related to ODCA were selected using the Science Citation Index Expanded from the Web of Science Core Collection.Bibliometric analysis of relevant publications,including countries/regions,institutions,authors,journals,references,and keywords,was conducted using the online bibliometric analysis platforms,CiteSpace,VOSviewer,and bibliometrix.RESULTS Between 2004 and 2023,a total of 1573 articles were published on ODCA.The United States has made leading contributions in this field,with Harvard University emerging as the leading contributor in terms of research output,and Tanofsky being the most prolific author.The J Adolescent Health has shown significant activity in this domain.Based on the results of the keyword and reference analyses,inequality,adverse childhood experiences,and comorbidities have become hot topics in ODCA.Moreover,the impact of balancedrelated behavior and exploration of the biological mechanisms,including the potential role of key adipocytokines and lipokines,as well as inflammation in ODCA,have emerged as frontier topics.CONCLUSION The trend of a significant increase in ODCA publications is expected to continue.The research findings will contribute to elucidating the pathogenic mechanisms of ODCA and its prevention and treatment.

Trends and hotspots in gastrointestinal neoplasms risk assessment: A bibliometric analysis from 1984 to 2022

BACKGROUND Gastrointestinal neoplasm(GN)significantly impact the global cancer burden and mortality,necessitating early detection and treatment.Understanding the evolution and current state of research in this field is vital.AIM To conducts a comprehensive bibliometric analysis of publications from 1984 to 2022 to elucidate the trends and hotspots in the GN risk assessment research,focusing on key contributors,institutions,and thematic evolution.METHODS This study conducted a bibliometric analysis of data from the Web of Science Core Collection database using the"bibliometrix"R package,VOSviewer,and CiteSpace.The analysis focused on the distribution of publications,contributions by institutions and countries,and trends in keywords.The methods included data synthesis,network analysis,and visualization of international collaboration networks.RESULTS This analysis of 1371 articles on GN risk assessment revealed a notable evolution in terms of research focus and collaboration.It highlights the United States'critical role in advancing this field,with significant contributions from institutions such as Brigham and Women's Hospital and the National Cancer Institute.The last five years,substantial advancements have been made,representing nearly 45%of the examined literature.Publication rates have dramatically increased,from 20 articles in 2002 to 112 in 2022,reflecting intensified research efforts.This study underscores a growing trend toward interdisciplinary and international collaboration,with the Journal of Clinical Oncology standing out as a key publication outlet.This shift toward more comprehensive and collaborative research methods marks a significant step in addressing GN risks.CONCLUSION This study underscores advancements in GN risk assessment through genetic analyses and machine learning and reveals significant geographical disparities in research emphasis.This calls for enhanced global collaboration and integration of artificial intelligence to improve cancer prevention and treatment accuracy,ultimately enhancing worldwide patient care.

Research trends on artificial intelligence and endoscopy in digestive diseases: A bibliometric analysis from 1990 to 2022

BACKGROUND Recently,artificial intelligence(AI)has been widely used in gastrointestinal endoscopy examinations.AIM To comprehensively evaluate the application of AI-assisted endoscopy in detecting different digestive diseases using bibliometric analysis.METHODS Relevant publications from the Web of Science published from 1990 to 2022 were extracted using a combination of the search terms“AI”and“endoscopy”.The following information was recorded from the included publications:Title,author,institution,country,endoscopy type,disease type,performance of AI,publication,citation,journal and H-index.RESULTS A total of 446 studies were included.The number of articles reached its peak in 2021,and the annual citation numbers increased after 2006.China,the United States and Japan were dominant countries in this field,accounting for 28.7%,16.8%,and 15.7%of publications,respectively.The Tada Tomohiro Institute of Gastroenterology and Proctology was the most influential institution.“Cancer”and“polyps”were the hotspots in this field.Colorectal polyps were the most concerning and researched disease,followed by gastric cancer and gastrointestinal bleeding.Conventional endoscopy was the most common type of examination.The accuracy of AI in detecting Barrett’s esophagus,colorectal polyps and gastric cancer from 2018 to 2022 is 87.6%,93.7%and 88.3%,respectively.The detection rates of adenoma and gastrointestinal bleeding from 2018 to 2022 are 31.3%and 96.2%,respectively.CONCLUSION AI could improve the detection rate of digestive tract diseases and a convolutional neural network-based diagnosis program for endoscopic images shows promising results.

Research trends of machine learning in traditional medicine:a big-data based tenyear bibliometric analysis

Background:With the rapid development of the world’s technology,the connection and integration between traditional medicine and modern machine learning technology are increasingly close.In this study,we aimed to analyze publications on machine learning in traditional medicine by using bibliometric methods and explore global trends in the field.Methods:Relevant research on machine learning in traditional medicine extracted from the Web of Science Core Collection database.Bibliometric analysis and visualization were performed using the Bibliometrix package in R software.Global trends,source journals,authorship,and thematic keywords analysis were performed in this study.Results:From 2012 to 2022,a total of 282 publications on machine learning in traditional medicine were identified and analyzed.The average annual growth rate of the publications was 13.35%.China had the largest contribution in this field(53.9%),followed by the United States(32.6%).IEEE Access had the largest number of published articles,with a total of 15 articles.Calvin Yu-Chian Chen,Xiao-juan Hu and Jue Wang were the main researchers in this field.Shanghai University of Traditional Chinese Medicine and University of California,San Francisco were the main research institutions.Conclusion:This study provides information on research trends in machine learning in traditional medicine to better understand research hotspots and future developments in this field.According to current global trends,the number of publications in this field will gradually increase.China currently dominated the field.Applied research of machine learning techniques may be the next hot topic in this field and deserves further attention.

The Status and Trend of Research on Standards for Eoological Textile in China

The products of ecological textile have represented nowadays the new trend of global consumption and production of textile while become an important means for some countries to utilize “green barrier” as a limitation of import of textile products. Following the entrance of China into the WTO,the position of “green barrier ” becomes significantly important in the trade of textile products. As China is a big country of textile production,speeding up the research on standards for products of ecological textile,countering the latest situation appearing in international trade of textile,to take as quickly as possible responsive measures is a very urgent problem in breaking through the foreign technical trade barrier and promoting the development of foreign trade.

Automated writing evaluation(1995-2022):Research trends and implications

Automated writing evaluation is the use of computer programs to evaluate essays written in an educational setting.This study aims to evaluate the state of the art and the trends of automated writing evaluation research.A total of 206 automated writing evaluation-related publications published in 88 journals between 1995 and 2022 were used as the data in our study.Bibliometric methods were employed to identify the publication trends,venues for publication,productive authors,highly cited articles,seminal works,and the most frequently explored topics across the past decades.The findings show that automated writing evaluation has become a fast-growing interdisciplinary area of interest.In addition,this line of research has witnessed a growing interest in topics pertaining to the latest technology,the perception of children,the teachers’feedback,and complex tasks.Implications of our study for future research are also discussed.

Dynamic and Refined Analysis of China's Recreational Space Research Based on CiteSpace

Recreational space is a place for residents’ leisure and entertainment,and it is an important part of urban public space.Based on the literature visualization analysis software CiteSpace,with domestic literatures on recreational space included in CNKI as the research object,the hot spots and frontier of China’s research on recreational space are analyzed from six aspects:number of published papers,research authors,research institutions,keyword frequency,keyword co-occurrence and keyword burst.

Dynamic and Refined Analysis of Slow Moving System Research in China in the Last 20 Years Based on CiteSpace

The urban slow traffic system refers to the traffic system in the city that can allow people to walk, ride, travel by bus and other slow travel. Through 4,728 papers on slow moving system in China from 2000 to 2020 included in CNKI, analysis and summary of literature publishing trend, research strength,research focus and development trend are conducted based on CiteSpace software. It is expected to provide reference for future research in this field.

Mapping theme trends and knowledge structures for human neural stem cells:a quantitative and co-word biclustering analysis for the 2013-2018 period

Neural stem cells,which are capable of multi-potential differentiation and self-renewal,have recently been shown to have clinical potential for repairing central nervous system tissue damage.However,the theme trends and knowledge structures for human neural stem cells have not yet been studied bibliometrically.In this study,we retrieved 2742 articles from the PubMed database from 2013 to 2018 using "Neural Stem Cells" as the retrieval word.Co-word analysis was conducted to statistically quantify the characteristics and popular themes of human neural stem cell-related studies.Bibliographic data matrices were generated with the Bibliographic Item Co-Occurrence Matrix Builder.We identified 78 high-frequency Medical Subject Heading(MeSH)terms.A visual matrix was built with the repeated bisection method in gCLUTO software.A social network analysis network was generated with Ucinet 6.0 software and GraphPad Prism 5 software.The analyses demonstrated that in the 6-year period,hot topics were clustered into five categories.As suggested by the constructed strategic diagram,studies related to cytology and physiology were well-developed,whereas those related to neural stem cell applications,tissue engineering,metabolism and cell signaling,and neural stem cell pathology and virology remained immature.Neural stem cell therapy for stroke and Parkinson’s disease,the genetics of microRNAs and brain neoplasms,as well as neuroprotective agents,Zika virus,Notch receptor,neural crest and embryonic stem cells were identified as emerging hot spots.These undeveloped themes and popular topics are potential points of focus for new studies on human neural stem cells.

Understanding Research Trends in Android Malware Research Using Information Modelling Techniques

Android has been dominating the smartphone market for more than a decade and has managed to capture 87.8%of the market share.Such popularity of Android has drawn the attention of cybercriminals and malware developers.The malicious applications can steal sensitive information like contacts,read personal messages,record calls,send messages to premium-rate numbers,cause financial loss,gain access to the gallery and can access the user’s geographic location.Numerous surveys on Android security have primarily focused on types of malware attack,their propagation,and techniques to mitigate them.To the best of our knowledge,Android malware literature has never been explored using information modelling techniques.Further,promulgation of contemporary research trends in Android malware research has never been done from semantic point of view.This paper intends to identify intellectual core from Android malware literature using Latent Semantic Analysis(LSA).An extensive corpus of 843 articles on Android malware and security,published during 2009–2019,were processed using LSA.Subsequently,the truncated singular Value Decomposition(SVD)technique was used for dimensionality reduction.Later,machine learning methods were deployed to effectively segregate prominent topic solutions with minimal bias.Apropos to observed term and document loading matrix values,this five core research areas and twenty research trends were identified.Further,potential future research directions have been detailed to offer a quick reference for information scientists.The study concludes to the fact that Android security is crucial for pervasive Android devices.Static analysis is the most widely investigated core area within Android security research and is expected to remain in trend in near future.Research trends indicate the need for a faster yet effective model to detect Android applications causing obfuscation,financial attacks and stealing user information.

Bibliometric Analysis of Global Research Progress on Coastal Flooding 1995–2016

Global research progress on coastal flooding was studied using a bibliometric evaluation of publications listed in the Web of Science extended scientific citation index. There was substantial growth in coastal flooding research output, with increasing publications, a higher collaboration index, and more references during the 1995–2016 period. The USA has taken a dominant position in coastal flooding research, with the US Geological Survey leading the publications ranking. Research collaborations at institutional scales have become more important than those at global scales. International collaborative publications consistently drew more citations than those from a single country. Furthermore, coastal flooding research included combinations of multi-disciplinary categories, including ‘Geology' and ‘Environmental Sciences & Ecology'. The most important coastal flooding research sites were wetlands and estuaries. While numerical modeling and 3 S(Remote sensing, RS; Geography information systems, GIS; Global positioning systems, GPS) technology were the most commonly used methods for studying coastal flooding, Lidar gained in popularity. The vulnerability and adaptation of coastal environments, their resilience after flooding, and ecosystem services function showed increases in interest.

基于Web of Science数据库的未分化疾病文献计量学和可视化分析

背景近年来未分化疾病(MUPS)正受到国内外学者的广泛关注,而我国在该领域的起步较晚,发展相对靠后,学习国际上学者对于MUPS的研究,对推动我国MUPS领域的发展具有重要意义。目的运用文献计量学方法,探讨国际上MUPS的研究现状、研究热点和发展趋势。方法于2022年7—8月,基于Web of Science核心合集数据库检索MUPS相关的文献,检索时限设定为建库至2022-08-15。经过筛选和数据处理后,对纳入的文献从发文量趋势、作者、机构、研究方向分布角度进行文献计量分析,运用Cite Space 6.1R3软件进行国家(地区)合作、文献共被引、关键词共线、关键词聚类、关键词突现的可视化分析。结果最终纳入1615篇文献。1985—2022年MUPS领域的年发文量整体呈现上升趋势,以2014—2016年增长最为迅速。发文量排名前3位的作者分别为ROSMALEN J G M(43篇)、WITTHOFT M(41篇)、RIEF W(31篇),且3位学者论文的总被引频次也位居前10位,分别为954、1275、1339次;排名前3位的机构均来自英国,分别为伦敦大学(143篇)、伦敦国王学院(95篇)、曼彻斯特大学(84篇);排名前3位的国家(地区)分别为英国英格兰(422篇)、美国(341篇)、新西兰(268篇),且均与其他国家合作紧密。所有文献共涉及75个研究方向,以精神病学方向研究最多(605篇)。文献共被引网络图谱包括1393个节点,6108条连线,共被引频次排名居首位的文献为Somatoform Disorders and Medically Unexplained Symptoms in Primary Care。除“medically unexplained symptoms(未分化疾病)”外,出现频次排名前5位的关键词依次为“primary care(初级保健)”(422次)、“somatoform disorder(躯体形式障碍)”(405次)、“somatization(躯体化)”(354次)、“prevalence(普遍、流行、患病率)”(217次)、“depression(抑郁)”(211次)。关键词聚类分析后共得到12个聚类,具体体现在MUPS所属学科范畴和流行病学特点、重点涉及的疾病亚种类型、主要治疗方法及管理3个方面。突现强度最大的关键词是“somatic symptom disorder(躯体症状障碍)”,最近几年突现且持续至今的有“children(儿童)”“bodily distress syndrome(躯体不适综合征)”“somatic symptom disorder(躯体症状障碍)”“model(模式)”。结论目前国际上对于MUPS的研究呈上升阶段,其研究热点和趋势主要集中在MUPS研究较多的疾病亚种类型,关注未成年人群体、创建有效沟通模式,未分化疾病的正确评估和长期管理,认知行为疗法对MUPS的治疗效果4个方面。

China Internet Industry State Analysis and Prosperity Indexes

With the background of China's fast growing economy, Internet has become a key factor to keep the economy go steadily. It is important to quantitatively analyze the whole Internet industry and hence master its development direction clearly, which will provide regulators with reference for industry analysis, policy formulation, and policy evaluation. This article re-constructs the calculation method of traditional Prosperity Indexes, and builds up a new indicators portfolio for Internet Industry Prosperity Indexes. By calculation, the Internet Industry Coincidence Index value is 105.9. And the Leading Index and Coincidence Index are all within the up-going range, which suggests that China's Internet Industry is likely to remain in its usual fast growing state.

GIS Applications and Development Trends in China

Since its conceptualization and creation in the 1960 s, Geographic Information System(GIS) has considerably developed. As a combination of traditional and modern technology, GIS has become an important part of modern management, decision-making, and command, contributing greatly to social progress and development. This article introduces the concepts of GIS, expounds on the GIS applications in China, and looks forward to developments in GIS technology in the future while reviewing the issues that GIS application development faces. GIS has evolved into an important branch of the information technology industry, with great vitality and broad development prospects.

ESG研究热点与前沿趋势——基于CiteSpace的可视化分析

近年来,以绿色发展为理念的ESG逐渐成为理论界关注的焦点,文章借助CiteSpace软件,以2000—2022年CNKI数据库中ESG领域的中文文献为研究对象,运用共词聚类跟踪中国ESG领域的研究成果、热点、趋势及研究主体。研究结果表明:(1)ESG研究领域正处于快速发展阶段,2000—2022年文献发文量呈上升趋势,并在2019年后呈现爆发式增长。(2)ESG研究领域内的学术合作目前较为分散,大多数的研究人员未形成紧密的联系处于独立研究的状态。(3)中国近二十年ESG研究热点领域包括ESG信息披露、ESG与绿色金融、投资者、上市公司、投资理念和绿色债券,总体上反映了ESG领域以企业信息披露、投资和绿色金融为核心研究内容。(4)未来研究热点方向为以ESG为导向完善绿色金融制度体系,建立绿色信贷评估系统,拓宽绿色金融综合服务和促进绿色发展基金市场化,推动中国绿色金融领域的ESG实践。

基于科学知识图谱的劈裂注浆研究热点与发展态势分析

针对传统建筑科学分析方法对工程领域研究存在的局限性,引入科学知识图谱及大数据计量等人工智能方法,借助可视化软件Citespace,检索Web of Science(WOS)核心合集数据库,得到2007~2022年主题为劈裂注浆的文献709篇,对发文总量、学科归属、期刊分布、核心作者、区域合作、关键词和被引文献等方面做科学知识图谱分析。通过区域合作关系图谱的寻径,理清现阶段国际合作的格局,指出中国未来国际合作的主要任务。依据成果数量和突现时间,评析贡献较大的代表性作者。提取318个研究关键词,以发文频次和中心性为导向,筛选精炼了现阶段研究热点。从10个聚类的特性分组出发,展示了理论研究、应用实践和数值模拟的发展脉络,明确了研究的前沿方向。排列10条聚类发展时间线,精炼了注浆效率和封堵效率两条热门主线,同时提示了较难取得研究成果的线路。通过聚焦关键词的时区分布态势,总结热点演进的两个规律,并预测今后两年新热点与2017年研究成果之间的潜在关联。根据文献共被引关系发生的时间,对比4组年度切片的变化,评价了学科知识基础的发展脉络和未来走向。结果表明:科学知识图谱作为人工智能分析方法,能总结分析劈裂注浆近年来的研究热点,并可以预测劈裂注浆在未来阶段的学术研究发展态势。

高校大型仪器开放共享研究热点与趋势分析

为了更好地把握国内高校大型仪器开放共享的研究热点和发展趋势,对中国知网建库以来收录的该领域研究进行文献计量学分析。结果表明,关于大型仪器开放共享的文献多集中于实验类核心期刊,并形成了一定数量的核心作者,发文机构集中在“双一流”建设高校,国家级项目资助比重较大。关键词共现分析表明,基于“现状—问题—对策”范式的管理对策研究、共享信息服务平台的技术支撑体系研究和国内外大型仪器共享管理经验总结是当前的研究热点。随着研究前沿不断发展,持续深入开展管理体制机制建设、细化和完善评价考核体系、引入市场化机制和聚焦用户体验可能成为未来的研究重点。