Tang Yu'e, Gu Rifang, Rong Jidong, Nie Xuqiang
School of Clinical Medicine, Zunyi Medical University, Zunyi, China.
University Medical Office, Zunyi Medical University, Zunyi, China.
Clin Med Insights Endocrinol Diabetes. 2024 Sep 27;17:11795514241276389. doi: 10.1177/11795514241276389. eCollection 2024.
Non-coding RNA (ncRNA) plays a role in the development of diabetes and coronary heart disease. However, there is limited research on the association between ncRNA and these conditions. This study aims to conduct a bibliometric analysis and visualization of existing research to provide a comprehensive reference for future investigation in this field.
We searched the China National Knowledge Infrastructure (CNKI) and Web of Science Core Collection (WoSCC) databases for articles published from 2012 to 2024. We analyzed publication volume, country of origin, authors, and keywords using Microsoft Office Excel, CiteSpace, and VOSviewer.
A total of 414 papers from 56 countries/regions, involving 298 authors, were analyzed. China had the highest number of publications (177), followed by the USA (90) and Italy (28). The number of publications generally shows an increasing trend. Collaborative research efforts were prevalent, with Katare Rajesh being the most cited author on average. emerged as the most prolific journal in this field, while the article "MicroRNA profiling unveils hyperglycaemic memory in the diabetic heart" was identified as the most frequently cited. The analysis of keywords and literature indicates that current research predominantly focuses on the expression and mechanisms of ncRNA in disease, as well as its potential as a biomarker.
Research on ncRNA in the context of diabetes and coronary heart disease has made notable strides, although it warrants further exploration. Through bibliometric and visual analysis, we elucidate the collaborative relationships among researchers, which can facilitate the identification of potential collaborators. Additionally, we delineate the key areas and emergent trends in this field, providing valuable insights that can guide researchers in selecting future research directions.
非编码RNA（ncRNA）在糖尿病和冠心病的发展中起作用。然而，关于ncRNA与这些疾病之间关联的研究有限。本研究旨在对现有研究进行文献计量分析和可视化，为该领域未来的研究提供全面参考。
我们在中国知网（CNKI）和科学网核心合集（WoSCC）数据库中检索了2012年至2024年发表的文章。我们使用Microsoft Office Excel、CiteSpace和VOSviewer分析了发表量、原产国、作者和关键词。
共分析了来自56个国家/地区的414篇论文，涉及298位作者。中国的发表量最高（177篇），其次是美国（90篇）和意大利（28篇）。发表量总体呈上升趋势。合作研究很普遍，平均而言，Katare Rajesh是被引用最多的作者。 成为该领域最多产的期刊，而文章“MicroRNA profiling unveils hyperglycaemic memory in the diabetic heart”被确定为被引用最频繁的文章。关键词和文献分析表明，当前研究主要集中在ncRNA在疾病中的表达和机制及其作为生物标志物的潜力。
尽管仍需进一步探索，但在糖尿病和冠心病背景下对ncRNA的研究已取得显著进展。通过文献计量和可视化分析，我们阐明了研究人员之间的合作关系，这有助于识别潜在的合作者。此外，我们描绘了该领域的关键领域和新出现的趋势，提供了有价值的见解，可指导研究人员选择未来的研究方向。
