CiteSpace bibliometric-based analysis of fluorescent probes in brain diseases

Author:

Ren Yan1,Chen Weikang2,Wu Shasha1,Zhang Ruiping3

Affiliation:

1. Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University

2. Shanxi Medical University

3. The Radiology Department of First Hospital of Shanxi Medical University

Abstract

Abstract Background Fluorescent probes are used to detect and label the corresponding substances and play an important role in the detection of brain diseases. However, the general research trends in this field are poorly understood. This article explores trends in the application of fluorescent probes in brain diseases from a bibliometric perspective. Aim This holistic bibliometric analysis aim to provide a general overview of the recent advancement and the hotspots in the field of fluorescent probe from 2002 to 2022. Materials and Methods Publication between January 1 2002 and December 31 2022, relate to fluorescent probes and brain diseases research are acquired from the Web of Science Core Collection (WOSCC) database. Analysis of the volume of keyword occurrences use VOSviewer software, Scimago Graphica software is applied to country analysis, and keyword clustering, author collaboration, and institutional collaboration use CiteSpace software. Results A total of 1927 publications are extracted from the WOSCC databases. Publications are mainly from China. The keywords are divided into seven clusters, including multiple sclerosis, tumor, oxidative stress, alzheimers disease, reactive oxygen species, plasma, infection; of which, gene, single nucleotide polymorphism, schizophrenia, haplotype, apolipoprotein e, bipolar disorder are the original research hotspot in the field. Peptide, biosensor, aggregation induced emission are the main areas researched in recent years. Conclusion Current research on fluorescent probes and brain disorders have attracted increasing attention in the past two decades. This study provides a comprehensive view to understand the research trends, hot topics of research and research progress in this field.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3