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
- Co-authors
- Yuanda Lv (1 shared paper)Fengqin Hu (1 shared paper)Yongfeng Zhou (1 shared paper)Brandon S. Gaut (1 shared paper)Shihao Huang (5 shared papers)Yixiao Luo (5 shared papers)Fushen Zhang (1 shared paper)Liangpei Chen (3 shared papers)
- Journals
- Frontiers in Pharmacology (2 papers)Scientific Reports (1 paper)Frontiers in Veterinary Science (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)Naunyn-Schmiedeberg s Archives of Pharmacology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Feilong Wu
19 papers receiving 284 citations
Peers
Comparison fields: 5 of 76
- Biological Psychiatry 26
- Endocrinology 23
- Behavioral Neuroscience 14
- Cancer Research 40
- Complementary and alternative medicine 19
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 | 54 | |
| 2 | 2021 | 41 | |
| 3 | 2017 | 32 | |
| 4 | 2022 | 29 | |
| 5 | 2021 | 20 | |
| 6 | 2018 | 19 | |
| 7 | 2020 | 16 | |
| 8 | 2021 | 16 | |
| 9 | 2020 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 5 | |
| 15 | Experimental study of comparing rhEGF with rhβFGF on improving the quality of wound healing. | 2013 | 5 |
| 16 | 2021 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2020 | 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 288 indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (4 papers), Tryptophan and brain disorders (3 papers), Memory and Neural Mechanisms (3 papers), Receptor Mechanisms and Signaling (3 papers), MicroRNA in disease regulation (2 papers), Leech Biology and Applications (2 papers), Marine Invertebrate Physiology and Ecology (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Biological Psychiatry (26 citations), Endocrinology (23 citations), Behavioral Neuroscience (14 citations), Cancer Research (40 citations) and Complementary and alternative medicine (19 citations). Feilong Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yuanda Lv, Fengqin Hu, Yongfeng Zhou, Brandon S. Gaut, Shihao Huang, Yixiao Luo, Fushen Zhang, Liangpei Chen, Yan He and Jianhua Han. Their work appears in journals such as Frontiers in Pharmacology, Scientific Reports, Frontiers in Veterinary Science, Journal of Molecular and Cellular Cardiology and Naunyn-Schmiedeberg s Archives of Pharmacology.
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.