Feilong Wu
Impact in
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- Tryptophan and brain disorders
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- Plant and Fungal Interactions Research
Papers in
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- Receptor Mechanisms and Signaling 3
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Yongfeng Zhou (1 shared paper)Yuanda Lv (1 shared paper)Brandon S. Gaut (1 shared paper)Shihao Huang (5 shared papers)Fengqin Hu (1 shared paper)Yixiao Luo (5 shared papers)Fushen Zhang (1 shared paper)Yan He (3 shared papers)
- Journals
- Frontiers in Pharmacology (2 papers)Chinese Journal of Natural Medicines (1 paper)Holzforschung (1 paper)Neuropharmacology (1 paper)Frontiers in Veterinary Science (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Feilong Wu
19 papers receiving 298 citations
Peers
Comparison fields: 5 of 74
- Biological Psychiatry 22
- Endocrinology 21
- Behavioral Neuroscience 9
- Cancer Research 35
- Complementary and alternative medicine 17
Countries citing papers authored by Feilong Wu
This map shows the geographic impact of Feilong 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 Feilong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feilong Wu more than expected).
Fields of papers citing papers by Feilong Wu
This network shows the impact of papers produced by Feilong 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 Feilong Wu. The network helps show where Feilong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Feilong 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 | 2019 | 55 | |
| 2 | 2021 | 43 | |
| 3 | 2022 | 35 | |
| 4 | 2017 | 32 | |
| 5 | 2021 | 20 | |
| 6 | 2018 | 20 | |
| 7 | 2021 | 17 | |
| 8 | 2020 | 16 | |
| 9 | 2020 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2021 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2022 | 5 | |
| 16 | Experimental study of comparing rhEGF with rhβFGF on improving the quality of wound healing. | 2013 | 5 |
| 17 | 2021 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2025 | 0 |
About Feilong Wu
Feilong Wu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Biological Psychiatry and Cognitive Neuroscience, having authored 20 papers that have together received 303 indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (4 papers), Receptor Mechanisms and Signaling (3 papers), Memory and Neural Mechanisms (3 papers), Tryptophan and brain disorders (3 papers), Marine Invertebrate Physiology and Ecology (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Rabies epidemiology and control (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (22 citations), Endocrinology (21 citations), Behavioral Neuroscience (9 citations), Cancer Research (35 citations) and Complementary and alternative medicine (17 citations). Feilong Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yongfeng Zhou, Yuanda Lv, Brandon S. Gaut, Shihao Huang, Fengqin Hu, Yixiao Luo, Fushen Zhang, Yan He, Liangpei Chen and Shuang Zhu. Their work appears in journals such as Frontiers in Pharmacology, Chinese Journal of Natural Medicines, Holzforschung, Neuropharmacology and Frontiers in Veterinary Science.
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.