Kuo Wu

1.7k citations
26 papers · 1.5k · h-index 18

Impact in

Papers in

Kuo Wu

25 papers receiving 1.5k citations

Peers

Kuo Wu
Comparison fields: 5 of 92
  • Developmental Neuroscience 429
  • Cellular and Molecular Neuroscience 1.1k
  • Behavioral Neuroscience 51
  • Neurology 118
  • Physiology 269
Replace H. Gnahn with:
H. Gnahn Germany
G. Vantini Italy
Akiko Tabuchi Japan
Avtandil Nanobashvili Sweden
B Oderfeld-Nowak Poland
Alain Privat France
Esther Pozas Spain
Thomas H. Large United States
Justin D. Oh United States
Kwok‐On Lai Hong Kong
Kuo Wu relative to H. Gnahn Germany H. Gnahn's profile →
Citations per field
00.5×6.8×
H. Gnahn · 1×
Citations per year

Countries citing papers authored by Kuo Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kuo Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997269
2 1998246
3 1997103
4 1996101
5 200099
6 200691
7 199883
8 198670
9 199569
10 199565
11 200449
12 199946
13 198642
14 198130
15 198826
16 198521
17 199020
18 199219
19 199016
20 199613

About Kuo Wu

Kuo Wu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Physiology and Neurology, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Nerve injury and regeneration (6 papers), Ion channel regulation and function (4 papers), Alzheimer's disease research and treatments (3 papers), Receptor Mechanisms and Signaling (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Developmental Neuroscience (429 citations), Cellular and Molecular Neuroscience (1.1k citations), Behavioral Neuroscience (51 citations), Neurology (118 citations) and Physiology (269 citations). Kuo Wu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Ira B. Black, Siang-Yo Lin, Eric S. Levine, Howard T.J. Mount, Jialing Xu, Philip Siekevitz, Chiye Aoki, Richard K. Carlin, Alice Elste and Tae‐Wan Kim. Their work appears in journals such as Brain Research, The Journal of Organic Chemistry, Proceedings of the National Academy of Sciences, Archives of Biochemistry and Biophysics and Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering.

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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