Priscilla Wu
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neurobiology and Insect Physiology Research
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 4
- Axon Guidance and Neuronal Signaling 2
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- Sleep and Wakefulness Research 2
- Neural dynamics and brain function 2
- Co-authors
- Z. Josh Huang (7 shared papers)Miao He (5 shared papers)Yu Fu (2 shared papers)Sang Yong Kim (2 shared papers)Raehum Paik (2 shared papers)Jiangteng Lu (2 shared papers)Goichi Miyoshi (2 shared papers)Ken Sugino (2 shared papers)
- Journals
- Neuron (4 papers)AIChE Journal (2 papers)Cell (2 papers)Neurology (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Priscilla Wu
16 papers receiving 2.5k citations
Priscilla Wu's Hit Papers
Peers
Comparison fields: 5 of 115
- Cellular and Molecular Neuroscience 1.6k
- Developmental Neuroscience 289
- Cognitive Neuroscience 829
- Behavioral Neuroscience 111
- Neurology 233
Countries citing papers authored by Priscilla Wu
This map shows the geographic impact of Priscilla 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 Priscilla Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priscilla Wu more than expected).
Fields of papers citing papers by Priscilla Wu
This network shows the impact of papers produced by Priscilla 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 Priscilla Wu. The network helps show where Priscilla Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Priscilla 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 | A Resource of Cre Driver Lines for Genetic Targeting of GABAergic Neurons in Cerebral Cortex Hit paper breakdown → | 2011 | 1359 |
| 2 | 2004 | 288 | |
| 3 | 2016 | 234 | |
| 4 | 2002 | 132 | |
| 5 | 1991 | 107 | |
| 6 | 2008 | 100 | |
| 7 | 2020 | 59 | |
| 8 | 2011 | 43 | |
| 9 | 2018 | 38 | |
| 10 | 1988 | 29 | |
| 11 | 1989 | 29 | |
| 12 | 2005 | 28 | |
| 13 | 2004 | 26 | |
| 14 | 1997 | 24 | |
| 15 | 1973 | 19 | |
| 16 | 1973 | 3 |
About Priscilla Wu
Priscilla Wu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Developmental Neuroscience and Organic Chemistry, having authored 16 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Phase Equilibria and Thermodynamics (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Sleep and Wakefulness Research (2 papers), Neurological disorders and treatments (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Developmental Neuroscience (289 citations), Cognitive Neuroscience (829 citations), Behavioral Neuroscience (111 citations) and Neurology (233 citations). Priscilla Wu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Z. Josh Huang, Miao He, Yu Fu, Sang Yong Kim, Raehum Paik, Jiangteng Lu, Goichi Miyoshi, Ken Sugino, Gord Fishell and Sacha B. Nelson. Their work appears in journals such as Neuron, AIChE Journal, Cell, Neurology and Nature Neuroscience.
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.