Yefei Chen
Impact in
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- Gout, Hyperuricemia, Uric Acid
Papers in
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- Inflammasome and immune disorders 2
- CRISPR and Genetic Engineering 2
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- Neuroscience and Neuropharmacology Research 3
- Neuroscience and Neural Engineering 2
- Photoreceptor and optogenetics research 2
- Co-authors
- Bin Yu (2 shared papers)Danbin Wu (2 shared papers)Yingxin Sun (2 shared papers)Xijuan Jiang (2 shared papers)Qing Gao (2 shared papers)Zhengfei Yang (1 shared paper)Huhu Li (1 shared paper)Zhonghua Lu (7 shared papers)
- Journals
- Frontiers in Earth Science (1 paper)Advanced Energy Materials (1 paper)Cancer Science (1 paper)Current Opinion in Neurobiology (1 paper)Frontiers in Cellular Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yefei Chen
12 papers receiving 250 citations
Peers
Comparison fields: 5 of 68
- Biological Psychiatry 7
- Nephrology 19
- Neurology 20
- Cellular and Molecular Neuroscience 45
- Neurology 28
Countries citing papers authored by Yefei Chen
This map shows the geographic impact of Yefei Chen'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 Yefei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yefei Chen more than expected).
Fields of papers citing papers by Yefei Chen
This network shows the impact of papers produced by Yefei Chen. 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 Yefei Chen. The network helps show where Yefei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yefei Chen, 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 | 126 | |
| 2 | 2022 | 65 | |
| 3 | 2020 | 15 | |
| 4 | 2023 | 12 | |
| 5 | 2021 | 11 | |
| 6 | 2020 | 7 | |
| 7 | 2023 | 5 | |
| 8 | 2025 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2024 | 0 | |
| 15 | 2026 | 0 |
About Yefei Chen
Yefei Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ocean Engineering, Genetics and Developmental Neuroscience, having authored 15 papers that have together received 251 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Neuroscience and Neural Engineering (2 papers), Inflammasome and immune disorders (2 papers), Photoreceptor and optogenetics research (2 papers), Reservoir Engineering and Simulation Methods (2 papers), Hydraulic Fracturing and Reservoir Analysis (2 papers), Virus-based gene therapy research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Biological Psychiatry (7 citations), Nephrology (19 citations), Neurology (20 citations), Cellular and Molecular Neuroscience (45 citations) and Neurology (28 citations). Yefei Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Yu, Danbin Wu, Yingxin Sun, Xijuan Jiang, Qing Gao, Zhengfei Yang, Huhu Li, Zhonghua Lu, Ji Dai and C. Shen. Their work appears in journals such as Frontiers in Earth Science, Advanced Energy Materials, Cancer Science, Current Opinion in Neurobiology and Frontiers in Cellular Neuroscience.
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.