Wei Feng
- Cellular and Molecular Neuroscience top 0.5%
- Neuropeptides and Animal Physiology 24
- Neuroscience and Neuropharmacology Research 10
- Physiology top 0.5%
- Pain Mechanisms and Treatments 53
- Behavioral Neuroscience top 2%
- Sensory Systems top 2%
- Neurology top 2%
- Botulinum Toxin and Related Neurological Disorders 8
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- Natural product bioactivities and synthesis 15
- Ion channel regulation and function 12
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- Phytochemistry and Biological Activities 9
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- Congenital Heart Disease Studies 8
- Co-authors
- Ronald DubnerMin ZhuoShiping ZouKe RenWei GuoPing LiHu WangStacey C. LaGraize
- Journals
- Journal of Neuroscience (9 papers)Molecular Pain (9 papers)Chinese Chemical Letters (9 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wei Feng
187 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 154
- Cellular and Molecular Neuroscience 2.0k
- Physiology 2.8k
- Behavioral Neuroscience 258
- Sensory Systems 261
- Neurology 302
Countries citing papers authored by Wei Feng
This map shows the geographic impact of Wei Feng'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 Wei Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Feng more than expected).
Fields of papers citing papers by Wei Feng
This network shows the impact of papers produced by Wei Feng. 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 Wei Feng. The network helps show where Wei Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei Feng, 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 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 5 | |
| 12 | 2016 | 2 | |
| 13 | 2013 | 1 | |
| 14 | 2011 | 1 | |
| 15 | The influence of irrigation stimulability on the independent activity of the mices | 2004 | 1 |
| 16 | 2004 | 50 | |
| 17 | Structural Determination of A New Bidesmosidic Triterpenoid Glycoside from Dipsocus Japonicus | 2000 | 0 |
| 18 | 1999 | 36 | |
| 19 | The Purgative Effect and Pharmacokinetics Rhubarb's Combined Anthraquinone | 1999 | 0 |
| 20 | 1997 | 1 |
About Wei Feng
Wei Feng is a scholar working on Physiology, Cellular and Molecular Neuroscience and Complementary and alternative medicine, having authored 205 papers that have together received 5.4k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (53 papers), Neuropeptides and Animal Physiology (24 papers), Natural product bioactivities and synthesis (15 papers), Ion channel regulation and function (12 papers), Neuroscience and Neuropharmacology Research (10 papers), Phytochemistry and Biological Activities (9 papers), Botulinum Toxin and Related Neurological Disorders (8 papers) and Congenital Heart Disease Studies (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Physiology (2.8k citations) and Behavioral Neuroscience (258 citations). Wei Feng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ronald Dubner, Min Zhuo, Shiping Zou, Ke Ren, Wei Guo, Ke Ren, Ping Li, Hu Wang, Wei Guo and Stacey C. LaGraize. Their work appears in journals such as Journal of Neuroscience, Molecular Pain, Chinese Chemical Letters, Brain Research and Molecules.
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.