Gen-Cheng Wu

4.8k citations
131 papers · 4.0k · h-index 36

Impact in

Papers in

Gen-Cheng Wu

131 papers receiving 4.0k citations

Peers

Gen-Cheng Wu
Comparison fields: 5 of 121
  • Biological Psychiatry 422
  • Behavioral Neuroscience 426
  • Complementary and alternative medicine 626
  • Physiology 1.5k
  • Neurology 479
Replace Michael P. McDonald with:
Michael P. McDonald United States
Hongxin Dong United States
Igor Spigelman United States
Joanna Mika Poland
Dehua Chui China
Amer Kamal Netherlands
Jefferson W. Kinney United States
José L. M. Madrigal Spain
Edward L. Spangler United States
Jun‐Li Cao China
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Citations per field
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Citations per year

Countries citing papers authored by Gen-Cheng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Gen-Cheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gen-Cheng Wu. 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 Gen-Cheng Wu. The network helps show where Gen-Cheng Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017267
2 2000144
3 2006140
4 2018117
5 2017100
6 200088
7 200288
8 201677
9 201876
10 200074
11 201771
12 200968
13 201265
14 201464
15 201964
16 201163
17 201962
18 200160
19 199759
20 201256

About Gen-Cheng Wu

Gen-Cheng Wu is a scholar working on Physiology, Cellular and Molecular Neuroscience, Complementary and alternative medicine, Molecular Biology and Pharmacology, having authored 131 papers that have together received 4.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (54 papers), Acupuncture Treatment Research Studies (36 papers), Neuropeptides and Animal Physiology (27 papers), Stress Responses and Cortisol (16 papers), Healthcare and Venom Research (13 papers), Nerve injury and regeneration (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Biological Psychiatry (422 citations), Behavioral Neuroscience (426 citations), Complementary and alternative medicine (626 citations), Physiology (1.5k citations) and Neurology (479 citations). Gen-Cheng Wu has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Yu‐Qiu Zhang, Xiao-Ding Cao, Yan-Qing Wang, Jin Yu, Yanqing Wang, Qi‐Liang Mao‐Ying, Wen‐Li Mi, Xiu Gao, Chong-Bin Zhu and Qiu-Qin Han. Their work appears in journals such as Brain Research, Acupuncture & Electro-Therapeutics Research, Evidence-based Complementary and Alternative Medicine, European Journal of Pharmacology and Pain.

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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