• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

多囊卵巢综合征研究的全球趋势:一项 10 年文献计量分析。

Global trends in polycystic ovary syndrome research: A 10-year bibliometric analysis.

机构信息

Department of Traditional Chinese Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.

The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.

出版信息

Front Endocrinol (Lausanne). 2023 Jan 9;13:1027945. doi: 10.3389/fendo.2022.1027945. eCollection 2022.

DOI:10.3389/fendo.2022.1027945
PMID:36699019
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9868474/
Abstract

BACKGROUND

Polycystic ovary syndrome (PCOS) is one of the most common reproductive metabolic disorders in women, significantly affecting the biological functionalities of ovaries. This disease has garnered enormous interest from researchers. However, there is a lack of a comprehensive research concerning assessing the current status and future trends in PCOS field. This study uses bibliometric tools to comprehensively analyze the PCOS-related research progress based on the literature in the past decade.

METHODS

The reported PCOS literature in the past decade is downloaded from the Web of Science database. The bibliometric software is applied to analyze the co-authorship, co-citation, and co-occurrence status.

RESULTS

A total of 9936 publications imported into bibliometric tools for analysis show a sharp increase in the annual citations. The USA is dominant in terms of contribution in the field of PCOS, while China is making a significant contribution to the advancement of this field. Monash University is the most prolific institution with the highest H-index value. The contribution of University of Adelaide must be acknowledged. Legro RS and Teede HJ are the most active and influential authors in recent times, while Azziz R is the most contributed pioneer in this field. The Journal of is the most active journal with the highest number of publications and citations. The pathogenesis of PCOS had been a long-term forefront of research. In recent years, the health management in PCOS prevention and long-term complications was attracting more and more attention. The keywords like "gut microbiota", "microRNAs", "apoptosis", "Myo-inositol", "TNF-alpha", "androgen receptor", and "Vitamin D-deficient" are considered the latest research topics.

CONCLUSION

The study comprehensively analyzes the current status and global trends in the PCOS field, providing a significant reference for researchers to explore this field effectively.

摘要

背景

多囊卵巢综合征(PCOS)是女性最常见的生殖代谢紊乱之一,对卵巢的生物学功能有显著影响。该疾病引起了研究人员的极大兴趣。然而,目前缺乏对 PCOS 领域现状和未来趋势的全面研究。本研究使用文献计量学工具,基于过去十年的文献,全面分析 PCOS 相关研究进展。

方法

从 Web of Science 数据库下载过去十年报道的 PCOS 文献。应用文献计量学软件分析合著、共引和共现情况。

结果

共导入文献计量学工具分析的 9936 篇文献显示,年度引文量呈急剧增加趋势。美国在 PCOS 领域的贡献占主导地位,而中国对该领域的发展做出了重大贡献。莫纳什大学是最具影响力的机构,H 指数值最高。阿德莱德大学的贡献不容忽视。Legro RS 和 Teede HJ 是最近最活跃和最有影响力的作者,而 Azziz R 是该领域最有贡献的先驱。《》是发表论文和引文数量最多的最活跃期刊。PCOS 的发病机制一直是长期的研究前沿。近年来,PCOS 的健康管理预防和长期并发症越来越受到关注。像“肠道微生物群”、“microRNAs”、“细胞凋亡”、“肌醇”、“TNF-alpha”、“雄激素受体”和“维生素 D 缺乏”等关键词被认为是最新的研究课题。

结论

本研究全面分析了 PCOS 领域的现状和全球趋势,为研究人员有效探索该领域提供了重要参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/cc902624a745/fendo-13-1027945-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/8f0312615af6/fendo-13-1027945-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/210033a5b8a3/fendo-13-1027945-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/d19b792e568e/fendo-13-1027945-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/6aaa24bcab63/fendo-13-1027945-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/73339838e4dc/fendo-13-1027945-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/38d7f6cb1aae/fendo-13-1027945-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/eee6353beda5/fendo-13-1027945-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/d418e632813a/fendo-13-1027945-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/771cac207909/fendo-13-1027945-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/ff41302b6875/fendo-13-1027945-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/5ab1f8b0c3bd/fendo-13-1027945-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/937756961f2c/fendo-13-1027945-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/cc902624a745/fendo-13-1027945-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/8f0312615af6/fendo-13-1027945-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/210033a5b8a3/fendo-13-1027945-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/d19b792e568e/fendo-13-1027945-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/6aaa24bcab63/fendo-13-1027945-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/73339838e4dc/fendo-13-1027945-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/38d7f6cb1aae/fendo-13-1027945-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/eee6353beda5/fendo-13-1027945-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/d418e632813a/fendo-13-1027945-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/771cac207909/fendo-13-1027945-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/ff41302b6875/fendo-13-1027945-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/5ab1f8b0c3bd/fendo-13-1027945-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/937756961f2c/fendo-13-1027945-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c29c/9868474/cc902624a745/fendo-13-1027945-g013.jpg

相似文献

1
Global trends in polycystic ovary syndrome research: A 10-year bibliometric analysis.多囊卵巢综合征研究的全球趋势:一项 10 年文献计量分析。
Front Endocrinol (Lausanne). 2023 Jan 9;13:1027945. doi: 10.3389/fendo.2022.1027945. eCollection 2022.
2
The relationship between polycystic ovary syndrome and coronary heart disease: a bibliometric analysis.多囊卵巢综合征与冠心病的关系:文献计量分析。
Front Endocrinol (Lausanne). 2023 May 8;14:1172750. doi: 10.3389/fendo.2023.1172750. eCollection 2023.
3
A bibliometric and visual analysis of obesity and polycystic ovary syndrome from 2012 to 2022.2012 年至 2022 年肥胖与多囊卵巢综合征的文献计量学和可视化分析。
Front Endocrinol (Lausanne). 2022 Nov 2;13:1011105. doi: 10.3389/fendo.2022.1011105. eCollection 2022.
4
Research hotspots of polycystic ovary syndrome and hyperandrogenism from 2008 to 2022: bibliometric analysis.多囊卵巢综合征及高雄激素血症的研究热点:文献计量分析。
Gynecol Endocrinol. 2024 Mar 2;40(1):2326102. doi: 10.1080/09513590.2024.2326102. Epub 2024 Apr 24.
5
Research on polycystic ovary syndrome: a bibliometric analysis from 2009 to 2019.多囊卵巢综合征研究:2009 年至 2019 年的文献计量分析。
Gynecol Endocrinol. 2021 Feb;37(2):121-125. doi: 10.1080/09513590.2020.1807501. Epub 2020 Aug 19.
6
Mapping the Landscape of Obesity Effects on Male Reproductive Function: A Bibliometric Study.肥胖对男性生殖功能影响的研究现状分析:文献计量学研究。
Endocr Metab Immune Disord Drug Targets. 2024;24(13):1546-1557. doi: 10.2174/0118715303271117231220072051.
7
A bibliometric analysis of polycystic ovary syndrome research in Southeast Asia: Insights and implications.东南亚多囊卵巢综合征研究的文献计量分析:见解与启示
Diabetes Metab Syndr. 2022 Feb;16(2):102419. doi: 10.1016/j.dsx.2022.102419. Epub 2022 Feb 7.
8
The relationship between polycystic ovary syndrome and insulin resistance from 1983 to 2022: A bibliometric analysis.多囊卵巢综合征与胰岛素抵抗的关系:1983 年至 2022 年的文献计量分析。
Front Public Health. 2022 Jul 28;10:960965. doi: 10.3389/fpubh.2022.960965. eCollection 2022.
9
Research Trends of Acupuncture Therapy on Polycystic Ovary Syndrome: A Bibliometric Analysis.针灸治疗多囊卵巢综合征的研究趋势:一项文献计量学分析
Evid Based Complement Alternat Med. 2022 Oct 12;2022:1989401. doi: 10.1155/2022/1989401. eCollection 2022.
10
Trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis.多囊卵巢综合征代谢功能障碍的研究进展:文献计量分析。
Front Endocrinol (Lausanne). 2023 Aug 28;14:1245719. doi: 10.3389/fendo.2023.1245719. eCollection 2023.

引用本文的文献

1
Research trend and hotspots of polycystic ovary syndrome with depression from 1993 to 2024: a bibliometric analysis.1993年至2024年多囊卵巢综合征伴抑郁症的研究趋势与热点:一项文献计量分析
Front Glob Womens Health. 2024 Nov 28;5:1468471. doi: 10.3389/fgwh.2024.1468471. eCollection 2024.
2
Investigating the metabolomic pathways in female reproductive endocrine disorders: a Mendelian randomization study.探讨女性生殖内分泌紊乱的代谢组学途径:一项孟德尔随机化研究。
Front Endocrinol (Lausanne). 2024 Oct 31;15:1438079. doi: 10.3389/fendo.2024.1438079. eCollection 2024.
3
Investigation of the relationship between breast cancer and clinical symptoms of polycystic ovarian syndrome: a case-control study.

本文引用的文献

1
Aberrant miRNA-mRNA regulatory network in polycystic ovary syndrome is associated with markers of insulin sensitivity and inflammation.多囊卵巢综合征中异常的miRNA-mRNA调控网络与胰岛素敏感性和炎症标志物相关。
Ann Transl Med. 2021 Sep;9(18):1405. doi: 10.21037/atm-21-1288.
2
A Bibliometric Analysis of Primary Aldosteronism Research From 2000 to 2020.原发性醛固酮增多症研究的文献计量分析:2000 年至 2020 年。
Front Endocrinol (Lausanne). 2021 Apr 27;12:665912. doi: 10.3389/fendo.2021.665912. eCollection 2021.
3
Non-coding RNAs in polycystic ovary syndrome: a systematic review and meta-analysis.
探讨乳腺癌与多囊卵巢综合征临床症状之间的关系:一项病例对照研究。
BMC Womens Health. 2024 Nov 2;24(1):586. doi: 10.1186/s12905-024-03421-4.
4
Identification of necroptosis-related gene expression and the immune response in polycystic ovary syndrome.多囊卵巢综合征中坏死性凋亡相关基因表达及免疫反应的鉴定
J Assist Reprod Genet. 2024 Dec;41(12):3517-3537. doi: 10.1007/s10815-024-03286-4. Epub 2024 Oct 13.
5
Examining the Genetic Role of rs8192675 Variant in Saudi Women Diagnosed with Polycystic Ovary Syndrome.研究rs8192675变异体在被诊断为多囊卵巢综合征的沙特女性中的遗传作用。
Diagnostics (Basel). 2023 Oct 14;13(20):3214. doi: 10.3390/diagnostics13203214.
多囊卵巢综合征中的非编码 RNA:系统评价和荟萃分析。
Reprod Biol Endocrinol. 2021 Jan 14;19(1):10. doi: 10.1186/s12958-020-00687-9.
4
The role of miRNAs in polycystic ovary syndrome with insulin resistance.miRNAs 在伴有胰岛素抵抗的多囊卵巢综合征中的作用。
J Assist Reprod Genet. 2021 Feb;38(2):289-304. doi: 10.1007/s10815-020-02019-7. Epub 2021 Jan 6.
5
Research on polycystic ovary syndrome: a bibliometric analysis from 2009 to 2019.多囊卵巢综合征研究:2009 年至 2019 年的文献计量分析。
Gynecol Endocrinol. 2021 Feb;37(2):121-125. doi: 10.1080/09513590.2020.1807501. Epub 2020 Aug 19.
6
Dissecting the role of micro-RNAs as a diagnostic marker for polycystic ovary syndrome: a systematic review and meta-analysis.解析 microRNAs 作为多囊卵巢综合征诊断标志物的作用:系统评价和荟萃分析。
Fertil Steril. 2020 Mar;113(3):661-669.e2. doi: 10.1016/j.fertnstert.2019.11.001.
7
Past, Present, and Future of Groundwater Remediation Research: A Scientometric Analysis.地下水修复研究的过去、现在和未来:科学计量分析。
Int J Environ Res Public Health. 2019 Oct 18;16(20):3975. doi: 10.3390/ijerph16203975.
8
The global state of research in nonsurgical treatment of knee osteoarthritis: a bibliometric and visualized study.全球膝关节骨关节炎非手术治疗研究现状:文献计量学和可视化研究。
BMC Musculoskelet Disord. 2019 Sep 4;20(1):407. doi: 10.1186/s12891-019-2804-9.
9
Probiotic V9 Regulates the Secretion of Sex Hormones in Polycystic Ovary Syndrome Patients through the Gut-Brain Axis.益生菌V9通过肠-脑轴调节多囊卵巢综合征患者的性激素分泌。
mSystems. 2019 Apr 16;4(2). doi: 10.1128/mSystems.00017-19. eCollection 2019 Mar-Apr.
10
Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria.大规模全基因组荟萃分析多囊卵巢综合征表明不同诊断标准具有共同的遗传结构。
PLoS Genet. 2018 Dec 19;14(12):e1007813. doi: 10.1371/journal.pgen.1007813. eCollection 2018 Dec.