Research hotspots and trends for Duchenne muscular dystrophy: a machine learning bibliometric analysis from 2004 to 2023

The field of DMD research is experiencing robust growth, drawing keen interest globally. A thorough analysis of current research and trends is essential for advancing knowledge and therapeutic strategies in this domain.

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Publication Details

Journal
Frontiers in Immunology
Published
2024-11-28
DOI
https://doi.org/10.3389/fimmu.2024.1429609
Primary Topic
Muscle Physiology and Disorders
Type
article
Field-Weighted Citation Impact
0.00

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article

Research hotspots and trends for Duchenne muscular dystrophy: a machine learning bibliometric analysis from 2004 to 2023

Jingzhe Han, Yi Bu, Di An, Moran Guo et al.
Frontiers in Immunology
Muscle Physiology and Disorders
article

Research hotspots and trends for Duchenne muscular dystrophy: a machine learning bibliometric analysis from 2004 to 2023

Jingzhe Han, Yi Bu, Di An, Moran Guo, Xu Han, Hongran Wu, Mingjuan Liu, Pingping Fang, Shaojuan Ma, Xueqin Song, Guang Ji, Jinliang Deng
article en

Abstract

The field of DMD research is experiencing robust growth, drawing keen interest globally. A thorough analysis of current research and trends is essential for advancing knowledge and therapeutic strategies in this domain.

Frontiers in ImmunologyVol. 15
Hebei Medical University (CN), Handan College (CN), Hengshui University (CN), Chengde Medical University (CN), Peking University (CN), Second Hospital of Hebei Medical University (CN), Peking University First Hospital (CN), Affiliated Hospital of Hebei University (CN)
Health Commission of Hebei Province, Hebei Medical University, Department of Finance of Hebei
Partnerships for the goals
Openalex Percentile: Top 81%
Muscle Physiology and Disorders
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Research hotspots and trends for Duchenne muscular dystrophy: a machine learning bibliometric analysis from 2004 to 2023 — Jingzhe Han, Yi Bu, et al. · Frontiers in Immunology (2024) | TGRS Research Map | TGRS