Kunwei Wu
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
-
- Neuroscience and Neuropharmacology Research
Papers in
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- Neuroscience and Neuropharmacology Research 12
- Photoreceptor and optogenetics research 5
- Axon Guidance and Neuronal Signaling 4
- Co-authors
- Wei Lü (12 shared papers)Feng‐Yan Sun (7 shared papers)Zengwei Kou (5 shared papers)Jialin Mo (4 shared papers)Wenyan Han (7 shared papers)Ping Yang (3 shared papers)Thien Nguyen (2 shared papers)John D. Badger (2 shared papers)
- Journals
- Cell Reports (3 papers)Neuroscience (2 papers)Frontiers in Molecular Neuroscience (2 papers)Glia (2 papers)Food and Chemical Toxicology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kunwei Wu
23 papers receiving 578 citations
Peers
Comparison fields: 5 of 95
- Neurology 94
- Cellular and Molecular Neuroscience 205
- Developmental Neuroscience 43
- Drug Discovery 1
- Biological Psychiatry 13
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 69 | |
| 2 | 2011 | 61 | |
| 3 | 2020 | 60 | |
| 4 | 2018 | 51 | |
| 5 | 2014 | 47 | |
| 6 | 2020 | 44 | |
| 7 | 2016 | 27 | |
| 8 | 2017 | 27 | |
| 9 | 2015 | 26 | |
| 10 | 2021 | 25 | |
| 11 | 2021 | 20 | |
| 12 | 2015 | 17 | |
| 13 | 2018 | 17 | |
| 14 | 2012 | 17 | |
| 15 | 2022 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2022 | 12 | |
| 18 | 2024 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2024 | 6 |
About Kunwei Wu
Kunwei Wu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Neurology and Developmental Neuroscience, having authored 25 papers that have together received 587 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Photoreceptor and optogenetics research (5 papers), Memory and Neural Mechanisms (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Sleep and Wakefulness Research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Neurology (94 citations), Cellular and Molecular Neuroscience (205 citations), Developmental Neuroscience (43 citations), Drug Discovery (1 citation) and Biological Psychiatry (13 citations). Kunwei Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wei Lü, Feng‐Yan Sun, Zengwei Kou, Jialin Mo, Wenyan Han, Ping Yang, Thien Nguyen, John D. Badger, Katherine W. Roche and Lingling Lv. Their work appears in journals such as Cell Reports, Neuroscience, Frontiers in Molecular Neuroscience, Glia and Food and Chemical Toxicology.
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.