Literature DB >> 33737903

Mapping Trends in Moyamoya Angiopathy Research: A 10-Year Bibliometric and Visualization-Based Analyses of the Web of Science Core Collection (WoSCC).

Danyang Chen1, Ge Zhang1, Jiahui Wang1, Shiling Chen1, Jingxuan Wang1, Hao Nie2, Zhouping Tang1.   

Abstract

Background: Moyamoya angiopathy (MMA), which includes moyamoya disease (MMD) and moyamoya syndrome (MMS), is an uncommon cerebrovascular condition characterized by recurrent stroke. We carried out a bibliometric analysis to examine the development of and research trends in MMA research.
Methods: Studies published between 2010 and 2019 on MMA were retrieved from the Web of Science Core Collection (WoSCC) on August 14, 2020, and bibliometric and visualization-based analyses were performed by using three different scientometric tools: HistCite, VOSviewer, and CiteSpace.
Results: A total of 1,896 publications published in 384 journals by 6,744 authors, 1,641 institutions and 56 countries/regions were included in the analyses. Annual publication outputs increased from 2010 to 2019. The USA, Japan and China were three key contributors to this study field. Capital Medical University, Seoul National University, and Stanford University were three major institutions with larger numbers of publications. Zhang D, World Neurosurgery, Kuroda S, and STROKE were the most prolific author, prolific journal, top co-cited author and top co-cited journal, respectively. The top five keywords during this period were moyamoya disease, revascularization, stroke, children and surgery, while revascularization surgery and RNF213 were the most common frontier topics. Conclusions: In this study, the research trends of global scientific research on MMA over the past decade were systematically analyzed. The study can provide guidance for scholars who want to understand current trends in research in this area and new research frontiers.
Copyright © 2021 Chen, Zhang, Wang, Chen, Wang, Nie and Tang.

Entities:  

Keywords:  CiteSpace; HistCite; VOSviewer; Web of Science; bibliometrics; emerging topics; moyamoya; visualization

Year:  2021        PMID: 33737903      PMCID: PMC7960774          DOI: 10.3389/fneur.2021.637310

Source DB:  PubMed          Journal:  Front Neurol        ISSN: 1664-2295            Impact factor:   4.003


  7 in total

1.  Global Trends and Hotspots in Trigeminal Neuralgia Research From 2001 to 2021: A Bibliometric Analysis.

Authors:  Ganggui Zhu; Zaixiang Fu; Sheng Su; Yajuan Tang; Fuyi Liu; Wenhua Yu
Journal:  Front Neurol       Date:  2022-05-10       Impact factor: 4.086

2.  The Application of Angiotensin Receptor Neprilysin Inhibitor in Cardiovascular Diseases: A Bibliometric Review From 2000 to 2022.

Authors:  Xia Xu; Yumeng Li; Shuqing Shi; Jiayu Lv; Yajiao Wang; Haoran Zheng; Xinxin Mao; Huaqin Wu; Bingxuan Zhang; Qingqiao Song
Journal:  Front Cardiovasc Med       Date:  2022-05-04

3.  Global Trends and Hot-Spots in Research on Virtual Simulation in Nursing: A Bibliometric Analysis From 1999 to 2021.

Authors:  Qian Zhang; Jia Chen; Jing Liu
Journal:  Front Public Health       Date:  2022-04-25

4.  Ring finger protein 213 c.14576G>A mutation is not involved in internal carotid artery and middle cerebral artery dysplasia.

Authors:  Yasuo Murai; Eitaro Ishisaka; Atsushi Watanabe; Tetsuro Sekine; Kazutaka Shirokane; Fumihiro Matano; Ryuta Nakae; Tomonori Tamaki; Kenta Koketsu; Akio Morita
Journal:  Sci Rep       Date:  2021-11-12       Impact factor: 4.379

5.  Bibliometric analysis of global research trends on post-stroke pneumonia: Current development status and research Frontiers.

Authors:  Xiangfei Li; Jiahui Yu; Chang Shu
Journal:  Front Public Health       Date:  2022-08-02

6.  The evolution of intracranial aneurysm research from 2012 to 2021: Global productivity and publication trends.

Authors:  Qian Zhang; Ling Weng; Jian Li
Journal:  Front Neurol       Date:  2022-09-28       Impact factor: 4.086

7.  Epilepsy With Suicide: A Bibliometrics Study and Visualization Analysis via CiteSpace.

Authors:  Yi Guo; Zheng-Yan-Ran Xu; Meng-Ting Cai; Wen-Xin Gong; Chun-Hong Shen
Journal:  Front Neurol       Date:  2022-01-17       Impact factor: 4.003

  7 in total

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