Kunwei Wu
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 11
- Photoreceptor and optogenetics research 6
- Axon Guidance and Neuronal Signaling 4
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- Memory and Neural Mechanisms 5
- Sleep and Wakefulness Research 4
- Co-authors
- Li Ping (10 shared papers)W.K. Leung (8 shared papers)Wei Lü (12 shared papers)Lihai Liu (3 shared papers)Feng‐Yan Sun (7 shared papers)Zengwei Kou (5 shared papers)Wenyan Han (7 shared papers)Jialin Mo (4 shared papers)
- Journals
- Cell Reports (3 papers)Frontiers in Molecular Neuroscience (2 papers)IEEE Transactions on Information Theory (2 papers)Neuroscience (2 papers)Glia (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kunwei Wu
37 papers receiving 927 citations
Peers
Comparison fields: 5 of 105
- Cellular and Molecular Neuroscience 207
- Neurology 88
- Developmental Neuroscience 41
- Computer Networks and Communications 257
- Drug Discovery 1
Countries citing papers authored by Kunwei Wu
This map shows the geographic impact of Kunwei 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 Kunwei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunwei Wu more than expected).
Fields of papers citing papers by Kunwei Wu
This network shows the impact of papers produced by Kunwei 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 Kunwei Wu. The network helps show where Kunwei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunwei 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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 98 | |
| 2 | 2019 | 74 | |
| 3 | 2011 | 71 | |
| 4 | 2004 | 69 | |
| 5 | 2020 | 63 | |
| 6 | 2018 | 54 | |
| 7 | 2014 | 50 | |
| 8 | 2003 | 47 | |
| 9 | 2020 | 46 | |
| 10 | 2001 | 46 | |
| 11 | 2017 | 30 | |
| 12 | 2016 | 28 | |
| 13 | 2021 | 26 | |
| 14 | 2015 | 26 | |
| 15 | 2021 | 23 | |
| 16 | 2018 | 18 | |
| 17 | 2012 | 17 | |
| 18 | 2019 | 17 | |
| 19 | 2015 | 17 | |
| 20 | 2022 | 16 |
About Kunwei Wu
Kunwei Wu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience, Computer Networks and Communications and Neurology, having authored 42 papers that have together received 949 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Advanced Wireless Communication Techniques (10 papers), Wireless Communication Networks Research (9 papers), Photoreceptor and optogenetics research (6 papers), Memory and Neural Mechanisms (5 papers), Error Correcting Code Techniques (4 papers), Axon Guidance and Neuronal Signaling (4 papers) and Sleep and Wakefulness Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (207 citations), Neurology (88 citations), Developmental Neuroscience (41 citations), Computer Networks and Communications (257 citations) and Drug Discovery (1 citation). Kunwei Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Li Ping, W.K. Leung, Wei Lü, Lihai Liu, Feng‐Yan Sun, Zengwei Kou, Wenyan Han, Jialin Mo, Qingjun Tian and Ping Yang. Their work appears in journals such as Cell Reports, Frontiers in Molecular Neuroscience, IEEE Transactions on Information Theory, Neuroscience and Glia.
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.