Wilson C.‐S. Wu

14 total papers · 1.1k total citations
13 papers, 893 citations indexed

About

Wilson C.‐S. Wu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Wilson C.‐S. Wu has authored 13 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Organic Chemistry. Recurrent topics in Wilson C.‐S. Wu's work include Ion channel regulation and function (4 papers), Lipid Membrane Structure and Behavior (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Wilson C.‐S. Wu is often cited by papers focused on Ion channel regulation and function (4 papers), Lipid Membrane Structure and Behavior (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Wilson C.‐S. Wu collaborates with scholars based in United States and Germany. Wilson C.‐S. Wu's co-authors include Michael A. Raftery, Paul Greengard, Angus C. Nairn, S. Ivar Walaas, James C. Eisenach, Richard Vandlen, Katherine A. Albert, H P Moore, Paul Hartig and Jeffrey V. Miller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemistry and Biochemical Journal.

In The Last Decade

Wilson C.‐S. Wu

13 papers receiving 786 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wilson C.‐S. Wu 746 351 194 55 46 13 893
Cheryl Bartleson 714 1.0× 217 0.6× 262 1.4× 50 0.9× 39 0.8× 14 952
Yihong Yao 724 1.0× 255 0.7× 138 0.7× 54 1.0× 22 0.5× 18 966
Wen-Hai Chou 554 0.7× 312 0.9× 93 0.5× 29 0.5× 21 0.5× 11 922
Yaroslav S. Ermolyuk 772 1.0× 459 1.3× 171 0.9× 27 0.5× 18 0.4× 14 1.1k
Cheryl L. Weill 609 0.8× 551 1.6× 64 0.3× 30 0.5× 115 2.5× 27 1.0k
Maryse Lenfant 435 0.6× 153 0.4× 110 0.6× 43 0.8× 54 1.2× 30 922
Nathaniel Calloway 577 0.8× 431 1.2× 166 0.9× 30 0.5× 28 0.6× 9 1.1k
S Udenfriend 472 0.6× 120 0.3× 134 0.7× 24 0.4× 36 0.8× 17 865
Yoav Paas 590 0.8× 409 1.2× 43 0.2× 26 0.5× 29 0.6× 29 874
Nathan Nelson 525 0.7× 412 1.2× 90 0.5× 53 1.0× 14 0.3× 16 807

Countries citing papers authored by Wilson C.‐S. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wilson C.‐S. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wilson C.‐S. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Wilson C.‐S. Wu. A scholar is included among the top collaborators of Wilson C.‐S. Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wilson C.‐S. Wu. Wilson C.‐S. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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