Global Highly Cited Publication Trends and Research Hotspots in Osteoporosis and Bone Metabolic Cells: A Bibliometric and Visualization Analysis from 2013 to 2023.

Lingshan Ye, Zhen Hua, Xinxin Ding, Jianwei Wang
{"title":"Global Highly Cited Publication Trends and Research Hotspots in Osteoporosis and Bone Metabolic Cells: A Bibliometric and Visualization Analysis from 2013 to 2023.","authors":"Lingshan Ye, Zhen Hua, Xinxin Ding, Jianwei Wang","doi":"10.2174/0118715303300989240702043834","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Bone metabolic diseases such as osteoporosis are caused by disruption of the metabolic balance between osteoblasts and osteoclasts. Thousands of papers have been published on osteoporosis and bone metabolizing cells. The purpose of this study is to draw the publication trend of highly cited literature in this field through bibliometrics and to explore the research hotspot analysis.</p><p><strong>Objective: </strong>This paper provides a comprehensive analysis of the impact of countries/regions, research institutions, authors, keywords, relevant journals, and references in the field of osteoporosis and bone metabolic cells research, with a specific focus on the theme of \"Osteoporosis and bone metabolic cells\". Furthermore, utilizing bibliometric methods, the study aims to offer valuable insights and references for future research endeavors, as well as clinical prevention and treatment strategies in this domain.</p><p><strong>Methods: </strong>The Web of Science [WOS] Core Collection database was examined in order to identify articles with high citation counts from 2013 to 31 October 2023. The citation counts, authors, year of publication, source, journal, geographical origin, subject, article type, and level of evidence were further analyzed using the R bibliometric package. The VOSviewer software was utilized to visualize word co-occurrence in a total of 251 articles.</p><p><strong>Results: </strong>Our search strategy included 251 highly cited articles published between 2013 and 2023 in the field of osteoporosis and bone metabolic cells. The number of publications in this field remains consistently high, indicating ongoing research interest. Notably, the United States has made significant achievements and contributions in this area. Xie Hui, Cao Xu, and Goodman, Stewart are among the main contributors to these advancements. NATURE MEDICINE has the highest journal impact factor of 82.9, highlighting its prominence. The JOURNAL OF BONE AND MINERAL RESEARCH ranks first with 1,322 citations. Keyword research topics in this field include osteoclast differentiation, osteoblast differentiation, and mesenchymal stem cells. Through citation analysis, we found that 195 articles have been cited more than 100 times, demonstrating their significance and impact.</p><p><strong>Conclusion: </strong>This study analyzed the relationship between osteoporosis and bone metabolic cells using a bibliometric method. The results of these analyses can help researchers gain a more direct and scientific understanding of trends in the field. Additionally, it can provide guidance in identifying hot research directions and offer new ideas for the prevention and treatment of osteoporosis.</p>","PeriodicalId":94316,"journal":{"name":"Endocrine, metabolic & immune disorders drug targets","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Endocrine, metabolic & immune disorders drug targets","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0118715303300989240702043834","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Bone metabolic diseases such as osteoporosis are caused by disruption of the metabolic balance between osteoblasts and osteoclasts. Thousands of papers have been published on osteoporosis and bone metabolizing cells. The purpose of this study is to draw the publication trend of highly cited literature in this field through bibliometrics and to explore the research hotspot analysis.

Objective: This paper provides a comprehensive analysis of the impact of countries/regions, research institutions, authors, keywords, relevant journals, and references in the field of osteoporosis and bone metabolic cells research, with a specific focus on the theme of "Osteoporosis and bone metabolic cells". Furthermore, utilizing bibliometric methods, the study aims to offer valuable insights and references for future research endeavors, as well as clinical prevention and treatment strategies in this domain.

Methods: The Web of Science [WOS] Core Collection database was examined in order to identify articles with high citation counts from 2013 to 31 October 2023. The citation counts, authors, year of publication, source, journal, geographical origin, subject, article type, and level of evidence were further analyzed using the R bibliometric package. The VOSviewer software was utilized to visualize word co-occurrence in a total of 251 articles.

Results: Our search strategy included 251 highly cited articles published between 2013 and 2023 in the field of osteoporosis and bone metabolic cells. The number of publications in this field remains consistently high, indicating ongoing research interest. Notably, the United States has made significant achievements and contributions in this area. Xie Hui, Cao Xu, and Goodman, Stewart are among the main contributors to these advancements. NATURE MEDICINE has the highest journal impact factor of 82.9, highlighting its prominence. The JOURNAL OF BONE AND MINERAL RESEARCH ranks first with 1,322 citations. Keyword research topics in this field include osteoclast differentiation, osteoblast differentiation, and mesenchymal stem cells. Through citation analysis, we found that 195 articles have been cited more than 100 times, demonstrating their significance and impact.

Conclusion: This study analyzed the relationship between osteoporosis and bone metabolic cells using a bibliometric method. The results of these analyses can help researchers gain a more direct and scientific understanding of trends in the field. Additionally, it can provide guidance in identifying hot research directions and offer new ideas for the prevention and treatment of osteoporosis.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
骨质疏松症和骨代谢细胞领域的全球高被引论文趋势和研究热点:2013年至2023年文献计量与可视化分析》。
背景:骨代谢疾病(如骨质疏松症)是由成骨细胞和破骨细胞之间的代谢平衡被打破引起的。有关骨质疏松症和骨代谢细胞的论文已发表数千篇。本研究旨在通过文献计量学得出该领域高被引文献的发表趋势,并探讨研究热点分析:本文以 "骨质疏松症与骨代谢细胞 "为主题,全面分析了骨质疏松症与骨代谢细胞研究领域的国家/地区、研究机构、作者、关键词、相关期刊、参考文献的影响。此外,该研究还利用文献计量学方法,旨在为该领域未来的研究工作以及临床预防和治疗策略提供有价值的见解和参考:方法:研究人员对科学网(Web of Science [WOS])核心收藏数据库进行了研究,以找出 2013 年至 2023 年 10 月 31 日期间引用次数较高的文章。引用次数、作者、发表年份、来源、期刊、地理来源、主题、文章类型和证据级别通过 R 文献计量学软件包进行了进一步分析。我们还利用 VOSviewer 软件对 251 篇文章中的词语共现情况进行了可视化分析:我们的搜索策略收录了 2013 年至 2023 年间发表的 251 篇骨质疏松症和骨代谢细胞领域的高引用率文章。该领域的论文数量一直居高不下,这表明研究兴趣仍在持续。值得注意的是,美国在这一领域取得了重大成就和贡献。谢辉、曹旭和古德曼-斯图尔特是这些进展的主要贡献者。自然-医学》(NATURE MEDICINE)的期刊影响因子高达 82.9,是影响因子最高的期刊,彰显了其突出地位。JOURNAL OF BONE AND MINERAL RESEARCH》以 1,322 次引用排名第一。该领域的关键词研究主题包括破骨细胞分化、成骨细胞分化和间充质干细胞。通过引文分析,我们发现有 195 篇文章的引用次数超过 100 次,显示了其重要性和影响力:本研究采用文献计量学方法分析了骨质疏松症与骨代谢细胞之间的关系。这些分析结果有助于研究人员更直接、更科学地了解该领域的发展趋势。此外,它还能为确定热点研究方向提供指导,并为骨质疏松症的预防和治疗提供新思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Safety Profile of Statins for Post-Marketing Adverse Cardiovascular Events: A Real-World Pharmacovigilance Analysis. Tanshinone IIA Regulates NRF2/NLRP3 Signal Pathway to Restrain Oxidative Stress and Inflammation in Uric Acid-Induced HK-2 Fibrotic Models. Ketogenic Diet and Endocrine and Metabolic Diseases: A Bibliometric Study and Visualization Analysis. Effects of ethanol extract from senna leaf (EESL) on inflammation and oxidative stress in mice: A non-targeted metabolomic study. Revealing Fibrosis Genes as Biomarkers of Ulcerative Colitis: A Bioinformatics Study Based on ScRNA and Bulk RNA Datasets.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1