Fei Ding

3.1k citations
82 papers · 2.5k · h-index 30

Impact in

    • Muscle Physiology and Disorders
    • Medicinal Plants and Bioactive Compounds
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Fei Ding

81 papers receiving 2.5k citations

Peers

Fei Ding
Comparison fields: 5 of 114
  • Molecular Biology 1.6k
  • Neurology 178
  • Cellular and Molecular Neuroscience 402
  • Rehabilitation 127
  • Pharmacology 152
Replace Shanshan Wang with:
Shanshan Wang China
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Yuntian Shen China
Yi‐Chao Lee Taiwan
Cong Cao China
Eiji Warabi Japan
Ying Jin China
Wei Jin China
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Fei Ding relative to Shanshan Wang China Shanshan Wang's profile →
Citations per field
00.5×3.2×
Shanshan Wang · 1×
Citations per year

Countries citing papers authored by Fei Ding

Since Specialization
Citations

This map shows the geographic impact of Fei Ding'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 Fei Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Ding more than expected).

Fields of papers citing papers by Fei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei Ding. 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 Fei Ding. The network helps show where Fei Ding may publish in the future.

Co-authors

The 25 scholars most cited alongside Fei Ding, 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 Fei Ding Line = papers co-authored together Fei Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200896
2 201591
3 201691
4 201890
5 202090
6 201588
7 200985
8 200881
9 202077
10 201176
11 201976
12 202166
13 201962
14 202158
15 200856
16 201456
17 200950
18 201149
19 201547
20 201445

About Fei Ding

Fei Ding is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Cell Biology and Pharmacology, having authored 82 papers that have together received 2.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (20 papers), Medicinal Plants and Bioactive Compounds (13 papers), Nerve injury and regeneration (7 papers), Exercise and Physiological Responses (6 papers), Flavonoids in Medical Research (5 papers), Microbial metabolism and enzyme function (5 papers), Muscle activation and electromyography studies (5 papers) and Neurobiology and Insect Physiology Research (4 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Neurology (178 citations), Cellular and Molecular Neuroscience (402 citations), Rehabilitation (127 citations) and Pharmacology (152 citations). Fei Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaosong Gu, Hualin Sun, Mei Liu, Shu Yu, Yuntian Shen, Qi Zhang, Qiong Cheng, Yumin Yang, Ziwei Huang and Mi Shen. Their work appears in journals such as PLoS ONE, Annals of Translational Medicine, Frontiers in Physiology, Molecular and Cellular Biochemistry and Journal of Molecular Neuroscience.

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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