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DOI 10.1016/j.wneu.2023.02.047

Медицинская библиотека · World neurosurgery · 2023

Characterization of Global Research Trends and Prospects on Moyamoya Disease: Bibliometric Analysis.

Wang Cong, Kong Dewei, Song Huiling, Liu Jiajia, Qi Manman, Li Longxuan

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Аннотация

BACKGROUND

Moyamoya disease (MMD) is a rare cerebrovascular disease in neurology. This study investigates the literature related to MMD from its discovery to the present and identifies research levels, achievements, and trends.

METHODS

All publications on MMD from its discovery to present were downloaded from the Web of Science Core Collection on September 15, 2022 and bibliometric analyses were visualized by HistCite Pro, VOSviewer, Scimago Graphica, CiteSpace, and R language.

RESULTS

There were 3414 articles in 680 journals by 10,522 authors in 2441 institutions and 74 countries/regions worldwise are included in the analyses. Since the discovery of MMD, output of publications has shown an upward trend. Japan, the United States, China, and South Korea are 4 major countries in MMD. The United States has the strongest cooperation with other countries. China's Capital Medical University is the output-leading institution worldwide, followed by Seoul National University and Tohoku University. The 3 authors with the most published articles are Kiyohiro Houkin, Dong Zhang, and Satoshi Kuroda. World Neurosurgery, Neurosurgery, and Stroke are the most recognized journals for researchers. Hemorrhagic moyamoya disease, susceptibility gene, and arterial spin are the primary focus areas of MMD research. "Rnf213,""vascular disorder," and "progress" are the top keywords.

CONCLUSIONS

We analyzed publications of global scientific research on MMD systematically by bibliometric methods. This study can provide one of the most comprehensive and accurate analyses for MMD scholars worldwide.

Для цитирования: Wang Cong, Kong Dewei, Song Huiling, Liu Jiajia, Qi Manman, Li Longxuan. Characterization of Global Research Trends and Prospects on Moyamoya Disease: Bibliometric Analysis.. World neurosurgery. 2023. DOI: 10.1016/j.wneu.2023.02.047.

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