Kuo Wu
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms 7
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- Neuroscience and Neuropharmacology Research 12
- Nerve injury and regeneration 6
- Photoreceptor and optogenetics research 2
- Behavioral Neuroscience top 10%
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Physiology top 10%
- Alzheimer's disease research and treatments 3
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- Ion channel regulation and function 4
- Receptor Mechanisms and Signaling 3
- Co-authors
- Ira B. BlackSiang-Yo LinEric S. LevineHoward T.J. MountJialing XuPhilip SiekevitzRichard K. CarlinChiye Aoki
- Journals
- Brain Research (4 papers)Archives of Biochemistry and Biophysics (2 papers)The Journal of Organic Chemistry (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Kuo Wu
25 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Developmental Neuroscience 427
- Cellular and Molecular Neuroscience 1.1k
- Behavioral Neuroscience 56
- Neurology 122
- Physiology 272
Countries citing papers authored by Kuo Wu
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2013 | 1 | |
| 3 | 2008 | 2 | |
| 4 | 2006 | 89 | |
| 5 | 2004 | 48 | |
| 6 | 2000 | 97 | |
| 7 | 1999 | 46 | |
| 8 | 1998 | 83 | |
| 9 | 1998 | 243 | |
| 10 | 1997 | 93 | |
| 11 | 1997 | 259 | |
| 12 | 1996 | 97 | |
| 13 | 1996 | 13 | |
| 14 | 1996 | 12 | |
| 15 | 1995 | 63 | |
| 16 | 1992 | 19 | |
| 17 | 1990 | 20 | |
| 18 | 1988 | 22 | |
| 19 | 1986 | 68 | |
| 20 | 1985 | 19 |
About Kuo Wu
Kuo Wu is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Neurology, Geriatrics and Gerontology and Physiology, 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), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Receptor Mechanisms and Signaling (3 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Developmental Neuroscience (427 citations), Cellular and Molecular Neuroscience (1.1k citations), Behavioral Neuroscience (56 citations), Neurology (122 citations) and Physiology (272 citations). Kuo Wu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ira B. Black, Siang-Yo Lin, Eric S. Levine, Howard T.J. Mount, Jialing Xu, Philip Siekevitz, Richard K. Carlin, Chiye Aoki, Alice Elste and Tae‐Wan Kim. Their work appears in journals such as Brain Research, Archives of Biochemistry and Biophysics, The Journal of Organic Chemistry, Proceedings of the National Academy of Sciences and Annals of the New York Academy of Sciences.
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.