Fei Huang
- Biological Psychiatry top 1%
- Tryptophan and brain disorders 13
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 21
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol 6
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- Drug Transport and Resistance Mechanisms 9
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- Neuropeptides and Animal Physiology 8
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- Ginseng Biological Effects and Applications 7
- Receptor Mechanisms and Signaling 6
- Gut microbiota and health 6
- Co-authors
- Xiaojun WuHailian ShiHui WuLiyue QinBeibei ZhangYang LiuPing WangYunyi Lan
- Journals
- Journal of the American Chemical Society (1 paper)SHILAP Revista de lepidopterología (1 paper)The Science of The Total Environment (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Fei Huang
96 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 140
- Biological Psychiatry 257
- Neurology 327
- Complementary and Manual Therapy 70
- Complementary and alternative medicine 237
- Behavioral Neuroscience 99
Countries citing papers authored by Fei Huang
This map shows the geographic impact of Fei Huang'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 Fei Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Huang more than expected).
Fields of papers citing papers by Fei Huang
This network shows the impact of papers produced by Fei Huang. 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 Fei Huang. The network helps show where Fei Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fei Huang, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 10 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 23 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 2 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 69 | |
| 14 | 2018 | 11 | |
| 15 | 2017 | 107 | |
| 16 | 2016 | 48 | |
| 17 | 2015 | 81 | |
| 18 | 2013 | 1 | |
| 19 | 2013 | 11 | |
| 20 | 2010 | 30 |
About Fei Huang
Fei Huang is a scholar working on Biological Psychiatry, Neurology and Complementary and Manual Therapy, having authored 101 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (21 papers), Tryptophan and brain disorders (13 papers), Drug Transport and Resistance Mechanisms (9 papers), Neuropeptides and Animal Physiology (8 papers), Ginseng Biological Effects and Applications (7 papers), Stress Responses and Cortisol (6 papers), Receptor Mechanisms and Signaling (6 papers) and Gut microbiota and health (6 papers). The work is most often cited by research in Biological Psychiatry (257 citations), Neurology (327 citations) and Complementary and Manual Therapy (70 citations). Fei Huang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xiaojun Wu, Hailian Shi, Hui Wu, Liyue Qin, Beibei Zhang, Yang Liu, Ping Wang, Yunyi Lan, Jinmei Jin and Alessandra Borsini. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and The Science of The Total Environment.
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.