Suppr超能文献

胶质瘤生物信息学分析的定量研究:一项文献计量分析

Quantitative study of bioinformatics analysis on glioma: a bibliometric analysis.

作者信息

Yang Xiaobing, Man Dulegeqi, Zhao Peng, Li Xingang

机构信息

Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China.

Jinan Microecological Biomedicine Shandong Laboratory and Shandong Key Laboratory of Brain Function Remodeling, Jinan, China.

出版信息

Front Oncol. 2023 Nov 15;13:1222797. doi: 10.3389/fonc.2023.1222797. eCollection 2023.

Abstract

BACKGROUND

The bioinformatics analysis on glioma has been a hot point recently. The purpose of this study was to provide an overview of the research in this field using a bibliometric method.

METHODS

The Web of Science Core Collection (WOSCC) database was used to search for literature related to the bioinformatics analysis of gliomas. Countries, institutions, authors, references, and keywords were analyzed using VOSviewer, CiteSpace, and Microsoft Excel software.

RESULT

China was the most productive country, while the USA was the most cited. Capital Medical University had the largest number of publications and citations. Institutions tend to collaborate more with other institutions in their countries rather than foreign ones. The most productive and most cited author was Jiang Tao. Two citation paths were identified, with literature in basic research journals often cited in clinical journals. Immune-related vocabularies appeared frequently in recent studies.

CONCLUSION

Glioma bioinformatics analyses spanned a wide range of fields. The international communication in this field urgently needs to be strengthened. Glioma bioinformatics approaches are developing from basic research to clinical applications. Recently, immune-related research has become a focus.

摘要

背景

近年来,胶质瘤的生物信息学分析一直是研究热点。本研究旨在采用文献计量学方法对该领域的研究进行概述。

方法

利用科学网核心合集(WOSCC)数据库检索与胶质瘤生物信息学分析相关的文献。使用VOSviewer、CiteSpace和Microsoft Excel软件对国家、机构、作者、参考文献和关键词进行分析。

结果

中国是发文量最多的国家,而美国是被引频次最高的国家。首都医科大学的发文量和被引频次最多。各机构倾向于与本国其他机构而非国外机构开展更多合作。发文量最多且被引频次最高的作者是江涛。确定了两条引文路径,基础研究期刊上的文献常被临床期刊引用。免疫相关词汇在近期研究中频繁出现。

结论

胶质瘤生物信息学分析涵盖广泛领域。该领域的国际交流亟待加强。胶质瘤生物信息学方法正从基础研究向临床应用发展。近年来,免疫相关研究已成为焦点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88a3/10690598/f58f78d4c200/fonc-13-1222797-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验