Fong‐Sen Wu

1.8k citations
17 papers · 1.5k · h-index 13

Impact in

Papers in

Fong‐Sen Wu

17 papers receiving 1.5k citations

Peers

Fong‐Sen Wu
Comparison fields: 5 of 93
  • Behavioral Neuroscience 385
  • Cellular and Molecular Neuroscience 902
  • Biological Psychiatry 88
  • Developmental Neuroscience 111
  • Sensory Systems 100
Replace J. M. H. ffrench-Mullen with:
J. M. H. ffrench-Mullen United States
Carina Stenfors Sweden
Jean‐Marc Mienville United States
Jeff L. Weiner United States
Fu‐Chun Hsu United States
Murray B. Herd United Kingdom
R. Quirion Canada
Clyde F. Phelix United States
B.W.M.M. Peeters Netherlands
Michael H. Mesches United States
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Citations per field
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J. M. H. ffrench-Mullen · 1×
Citations per year

Countries citing papers authored by Fong‐Sen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fong‐Sen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fong‐Sen 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 Fong‐Sen Wu. The network helps show where Fong‐Sen Wu may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1991465
2 1997199
3 1990186
4 2009154
5 1994129
6 200765
7 199361
8 200957
9 199848
10 200443
11 200426
12 200618
13 199713
14 198912
15 200012
16
Steroid modulation of amino acid neurotransmitter receptors.
199210
17 19894

About Fong‐Sen Wu

Fong‐Sen Wu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Social Psychology and Behavioral Neuroscience, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Ion channel regulation and function (6 papers), Neuroendocrine regulation and behavior (5 papers), Pain Mechanisms and Treatments (4 papers), Stress Responses and Cortisol (4 papers), Ion Channels and Receptors (4 papers), Biochemical effects in animals (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Behavioral Neuroscience (385 citations), Cellular and Molecular Neuroscience (902 citations), Biological Psychiatry (88 citations), Developmental Neuroscience (111 citations) and Sensory Systems (100 citations). Fong‐Sen Wu has collaborated with scholars based in United States, Taiwan and Russia. Frequent co-authors include Terrell T. Gibbs, David H. Farb, D H Farb, Robert H. Purdy, Andrew Malayev, Shucheng Chen, A‐Min Huang, Jih‐Ing Chuang, Chauying J. Jen and Hsiun‐ing Chen. Their work appears in journals such as Molecular Pharmacology, Brain Research, Journal of Pharmacology and Experimental Therapeutics, Endocrinology and Diabetes.

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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