Dick Wu
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
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- Neuroscience and Neuropharmacology Research 6
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- Cellular transport and secretion 4
- Co-authors
- Thomas C. Südhof (7 shared papers)Robert C. Malenka (4 shared papers)Peng Zhou (3 shared papers)Taulant Bacaj (3 shared papers)Jianmin Cui (5 shared papers)Wei Xu (2 shared papers)Wade Morishita (2 shared papers)Lu Chen (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature (2 papers)Biophysical Journal (1 paper)Journal of Neuroscience (1 paper)The Journal of General Physiology (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Dick Wu
13 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Cellular and Molecular Neuroscience 612
- Cell Biology 420
- Physiology 66
- Molecular Biology 820
- Cardiology and Cardiovascular Medicine 244
Countries citing papers authored by Dick Wu
This map shows the geographic impact of Dick 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 Dick Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dick Wu more than expected).
Fields of papers citing papers by Dick Wu
This network shows the impact of papers produced by Dick 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 Dick Wu. The network helps show where Dick Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dick 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 | 2013 | 232 | |
| 2 | 2017 | 204 | |
| 3 | 2017 | 140 | |
| 4 | 2015 | 114 | |
| 5 | 2009 | 108 | |
| 6 | 2011 | 92 | |
| 7 | 2010 | 76 | |
| 8 | 2015 | 65 | |
| 9 | 2019 | 48 | |
| 10 | 2010 | 41 | |
| 11 | 2013 | 40 | |
| 12 | 2024 | 38 | |
| 13 | 2014 | 1 |
About Dick Wu
Dick Wu is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Cardiology and Cardiovascular Medicine and Developmental Neuroscience, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Lipid Membrane Structure and Behavior (4 papers), Cardiac electrophysiology and arrhythmias (4 papers), Cellular transport and secretion (4 papers), Retinal Development and Disorders (2 papers), Cannabis and Cannabinoid Research (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (612 citations), Cell Biology (420 citations), Physiology (66 citations), Molecular Biology (820 citations) and Cardiology and Cardiovascular Medicine (244 citations). Dick Wu has collaborated with scholars based in United States and Japan. Frequent co-authors include Thomas C. Südhof, Robert C. Malenka, Peng Zhou, Taulant Bacaj, Jianmin Cui, Wei Xu, Wade Morishita, Lu Chen, Minglei Zhao and Xiaofei Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature, Biophysical Journal, Journal of Neuroscience and The Journal of General Physiology.
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.