Visualization Analysis of Polycystic Ovary Syndrome Long Noncoding RNA Research Based on CiteSpace
10.3870/j.issn.1004-0781.2024.12.021
- VernacularTitle:基于CiteSpace对多囊卵巢综合征长链非编码RNA研究现状的可视化分析
- Author:
Fangying CAI
1
;
Hongli WANG
;
Xiaoxue YANG
;
Juntong LI
;
Yanmin DONG
;
Deliang LIU
;
Shufang CHU
Author Information
1. 广州中医药大学第四临床医学院,深圳 518033
- Keywords:
Polycystic ovary syndrome;
Long noncoding RNA;
Citespace;
Visualization analysis
- From:
Herald of Medicine
2024;43(12):2003-2008
- CountryChina
- Language:Chinese
-
Abstract:
Objective This study aims to discuss the research hotspot and development trend in the field of polycystic ovary syndrome(PCOS)through bibliometric statistics and visual analysis of long noncoding RNA(lncRNA)related studies.Methods Utilizing the Web of Science core database as the literature data source,we searched for PCOS lncRNA-related literature from 2015 to 2023.CiteSpace software was used to conduct a visual analysis,including the annual distribution,citation trends,countries,institutions,funding sources and key words,as well as co-occurrence and cluster analysis of key words.Results The visual analysis of 108 PCOS lncRNA literature revealed that China was the country with the highest number of publications.The first contributing institution was the Shandong University.The national natural science fund of China gave the biggest funding.The keyword cluster analysis suggested that PCOS lncRNA signal pathway regulation,related receptor activators,and the expression of regulatory factors were the research hotspots in ovary syndrome lncRNA research.Conclusion LncRNA related regulatory factors,bioinformatics analysis,and gene transcription in PCOS are new targetsfor PCOS treatment,providing valuable insights for clinical therapy and new strategies for the development of PCOS-related pharmaceuticals.
