Nanping Wu
Impact in
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- Neuroscience and Neuropharmacology Research
- Genetic Neurodegenerative Diseases
- Nuclear Receptors and Signaling
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
Papers in
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- Neuroscience and Neuropharmacology Research 16
- Neurotransmitter Receptor Influence on Behavior 3
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- MicroRNA in disease regulation 6
- Co-authors
- Michael S. LevineCarlos CepedaScott H. ChandlerTimothy R. DonahueDavid W. DawsonHoa A. LamNigel T. MaidmentLarry C. Ackerson
- Journals
- Journal of Neurophysiology (5 papers)Clinical Cancer Research (3 papers)Journal of Neuroscience (3 papers)Journal of Surgical Research (2 papers)European Journal of Neuroscience (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Nanping Wu
50 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cellular and Molecular Neuroscience 1.4k
- Neurology 870
- Cancer Research 336
- Cognitive Neuroscience 416
- Neurology 175
Countries citing papers authored by Nanping Wu
This map shows the geographic impact of Nanping 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 Nanping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanping Wu more than expected).
Fields of papers citing papers by Nanping Wu
This network shows the impact of papers produced by Nanping 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 Nanping Wu. The network helps show where Nanping Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nanping 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 8 | |
| 5 | 2021 | 12 | |
| 6 | 2016 | 55 | |
| 7 | 2015 | 26 | |
| 8 | 2014 | 89 | |
| 9 | 2014 | 22 | |
| 10 | 2014 | 1 | |
| 11 | 2013 | 6 | |
| 12 | 2012 | 170 | |
| 13 | 2011 | 132 | |
| 14 | 2007 | 22 | |
| 15 | 2007 | 32 | |
| 16 | 2007 | 68 | |
| 17 | 2006 | 11 | |
| 18 | 2005 | 68 | |
| 19 | 2005 | 122 | |
| 20 | 2005 | 22 |
About Nanping Wu
Nanping Wu is a scholar working on Cellular and Molecular Neuroscience, Cancer Research, Virology, Complementary and Manual Therapy and Oncology, having authored 52 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Pancreatic and Hepatic Oncology Research (9 papers), Ion channel regulation and function (9 papers), Neural dynamics and brain function (7 papers), MicroRNA in disease regulation (6 papers), RNA modifications and cancer (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Neurology (870 citations), Cancer Research (336 citations), Cognitive Neuroscience (416 citations) and Neurology (175 citations). Nanping Wu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Michael S. Levine, Carlos Cepeda, Scott H. Chandler, Timothy R. Donahue, David W. Dawson, Hoa A. Lam, Nigel T. Maidment, Larry C. Ackerson, Véronique M. André and Gloria J. Klapstein. Their work appears in journals such as Journal of Neurophysiology, Clinical Cancer Research, Journal of Neuroscience, Journal of Surgical Research and European Journal of 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.