Weisi Fu
Impact in
- Physiology top 10%
- Pain Mechanisms and Treatments
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Pain Mechanisms and Treatments 8
- Biochemical effects in animals 2
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- Neuropeptides and Animal Physiology 3
- Co-authors
- Bradley K. Taylor (9 shared papers)Marie W. Wooten (1 shared paper)Ping Shi (1 shared paper)Renée R. Donahue (4 shared papers)Jiayu Zhang (1 shared paper)David M. Kwinter (1 shared paper)Anna‐Lena Ström (1 shared paper)József Gál (1 shared paper)
- Journals
- Neuropharmacology (2 papers)Journal of Neurochemistry (1 paper)Frontiers in Neuroscience (1 paper)Neuroscience (1 paper)Pain (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Weisi Fu
13 papers receiving 481 citations
Peers
Comparison fields: 5 of 85
- Physiology 189
- Neurology 105
- Sensory Systems 35
- Cellular and Molecular Neuroscience 134
- Cell Biology 75
Countries citing papers authored by Weisi Fu
This map shows the geographic impact of Weisi Fu'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 Weisi Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weisi Fu more than expected).
Fields of papers citing papers by Weisi Fu
This network shows the impact of papers produced by Weisi Fu. 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 Weisi Fu. The network helps show where Weisi Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weisi Fu, 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 | 2009 | 157 | |
| 2 | 2010 | 52 | |
| 3 | 2019 | 42 | |
| 4 | 2013 | 39 | |
| 5 | 2019 | 34 | |
| 6 | 2019 | 29 | |
| 7 | 2017 | 27 | |
| 8 | 2019 | 23 | |
| 9 | 2015 | 23 | |
| 10 | 2014 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2019 | 14 | |
| 13 | Differential fatty acid profile in adipose and non-adipose tissues in obese mice. | 2010 | 11 |
About Weisi Fu
Weisi Fu is a scholar working on Physiology, Cellular and Molecular Neuroscience, Sensory Systems, Surgery and Molecular Biology, having authored 13 papers that have together received 484 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (8 papers), Ion Channels and Receptors (4 papers), Neuropeptides and Animal Physiology (3 papers), Biochemical effects in animals (2 papers), Anesthesia and Pain Management (2 papers), Diverse Interdisciplinary Research Innovations (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and Fatty Acid Research and Health (1 paper). The work is most often cited by research in Physiology (189 citations), Neurology (105 citations), Sensory Systems (35 citations), Cellular and Molecular Neuroscience (134 citations) and Cell Biology (75 citations). Weisi Fu has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Bradley K. Taylor, Marie W. Wooten, Ping Shi, Renée R. Donahue, Jiayu Zhang, David M. Kwinter, Anna‐Lena Ström, József Gál, Haining Zhu and Gregory Corder. Their work appears in journals such as Neuropharmacology, Journal of Neurochemistry, Frontiers in Neuroscience, Neuroscience and Pain.
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.