Gen-Cheng Wu

4.5k citations
126 papers · 3.7k indexed · h-index 35

Impact in

Papers in

Gen-Cheng Wu

126 papers receiving 3.7k citations

Peers

Gen-Cheng Wu
Comparison fields: 5 of 125
  • Biological Psychiatry 483
  • Behavioral Neuroscience 521
  • Complementary and alternative medicine 711
  • Neurology 570
  • Cellular and Molecular Neuroscience 1.1k
Replace Michael P. McDonald with:
Michael P. McDonald United States
Hongxin Dong United States
Igor Spigelman United States
Joanna Mika Poland
José L. M. Madrigal Spain
Quanguang Zhang United States
Jenna C. Carroll United States
Mal‐Soon Shin South Korea
Tadahiro Numakawa Japan
Thomas Fréret France
Gen-Cheng Wu relative to Michael P. McDonald United States Michael P. McDonald's profile →
Citations per field
00.5×5.3×
Michael P. McDonald · 1×
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-authorship network

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
#Work
1 20244
2 202210
3 201814
4 2017260
5 201420
6 201162
7 201115
8 201137
9 200931
10 200914
11 200513
12 200521
13 200544
14 200529
15 200417
16 20029
17 20024
18 200210
19 200074
20 199920

About Gen-Cheng Wu

Gen-Cheng Wu is a scholar working on Behavioral Neuroscience, Complementary and alternative medicine, Developmental Neuroscience, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 126 papers that have together received 3.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (57 papers), Acupuncture Treatment Research Studies (39 papers), Neuropeptides and Animal Physiology (27 papers), Stress Responses and Cortisol (21 papers), Healthcare and Venom Research (13 papers), Neuroscience and Neuropharmacology Research (10 papers), Nerve injury and regeneration (10 papers) and Pain Management and Placebo Effect (8 papers). The work is most often cited by research in Biological Psychiatry (483 citations), Behavioral Neuroscience (521 citations), Complementary and alternative medicine (711 citations), Neurology (570 citations) and Cellular and Molecular Neuroscience (1.1k citations). Gen-Cheng Wu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yu‐Qiu Zhang, Jin Yu, Yan-Qing Wang, Yanqing Wang, Xiao-Ding Cao, Qi‐Liang Mao‐Ying, Wen‐Li Mi, Xiu Gao, Bing Li 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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