Lidian Chen

10.7k citations
274 papers · 8.3k · h-index 48

Impact in

Papers in

    • Acupuncture Treatment Research Studies 52
    • Traditional Chinese Medicine Analysis 10
    • Neurological Disease Mechanisms and Treatments 17
    • Neuroinflammation and Neurodegeneration Mechanisms 16

Lidian Chen

260 papers receiving 8.1k citations

Peers

Lidian Chen
Comparison fields: 5 of 177
  • Complementary and alternative medicine 1.6k
  • Neurology 1.1k
  • Rehabilitation 481
  • Biological Psychiatry 161
  • Physiology 1.2k
Replace Jing Tao with:
Jing Tao China
Alexis Elbaz France
Heinz Reichmann Germany
Nipon Chattipakorn Thailand
Richard C. Dodel Germany
Pascal Derkinderen France
Michael A. Schwarzschild United States
Yue Liu China
Kenji Ishii Japan
Jaung‐Geng Lin Taiwan
Lidian Chen relative to Jing Tao China Jing Tao's profile →
Citations per field
00.5×1.5×
Jing Tao · 1×
Citations per year

Countries citing papers authored by Lidian Chen

Since Specialization
Citations

This map shows the geographic impact of Lidian Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lidian Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lidian Chen more than expected).

Fields of papers citing papers by Lidian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lidian Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lidian Chen. The network helps show where Lidian Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Lidian Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lidian Chen Line = papers co-authored together Lidian Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 274 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010465
2 2011265
3 2016243
4 2009184
5 2019181
6 2019143
7 2009134
8 2016122
9 2012119
10 2015116
11 2017116
12 2018111
13 2017103
14 2013100
15 201789
16 201689
17 201980
18 202078
19 201575
20 202274

About Lidian Chen

Lidian Chen is a scholar working on Complementary and alternative medicine, Neurology, Physiology, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 274 papers that have together received 8.3k indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (52 papers), Functional Brain Connectivity Studies (18 papers), Neurological Disease Mechanisms and Treatments (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Neuroscience and Neuropharmacology Research (13 papers), Healthcare and Venom Research (11 papers), Biofield Effects and Biophysics (11 papers) and Traditional Chinese Medicine Analysis (10 papers). The work is most often cited by research in Complementary and alternative medicine (1.6k citations), Neurology (1.1k citations), Rehabilitation (481 citations), Biological Psychiatry (161 citations) and Physiology (1.2k citations). Lidian Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jing Tao, Guohua Zheng, Xiuping Chen, Yitao Wang, Zengtao Xu, Rui Xia, Weilin Liu, Jia Huang, Zhangfeng Zhong and Kedan Chu. Their work appears in journals such as International Journal of Molecular Medicine, Trials, Frontiers in Aging Neuroscience, The American Journal of Chinese Medicine and Evidence-based Complementary and Alternative Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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