Yefei Chen
Impact in
-
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Biophysics top 10%
- Advanced Fluorescence Microscopy Techniques
Papers in
- Genetics 5
- Virus-based gene therapy research 5
-
- Neurological disorders and treatments 3
- Parkinson's Disease Mechanisms and Treatments 2
- Co-authors
- Danbin Wu (2 shared papers)Bin Yu (2 shared papers)Yingxin Sun (2 shared papers)Qing Gao (2 shared papers)Xijuan Jiang (2 shared papers)Huhu Li (1 shared paper)Zhengfei Yang (1 shared paper)Zhonghua Lu (8 shared papers)
- Journals
- Neuroscience Bulletin (2 papers)Nature Communications (1 paper)Alzheimer s & Dementia (1 paper)Nature (1 paper)Advanced Energy Materials (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yefei Chen
16 papers receiving 406 citations
Peers
Comparison fields: 5 of 69
- Neurology 68
- Biophysics 34
- Cellular and Molecular Neuroscience 50
- Molecular Biology 151
- Biological Psychiatry 3
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 | 135 | |
| 2 | 2022 | 74 | |
| 3 | 2022 | 67 | |
| 4 | 2023 | 49 | |
| 5 | 2020 | 19 | |
| 6 | 2021 | 15 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 9 | |
| 9 | 2020 | 7 | |
| 10 | 2025 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2022 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Yefei Chen
Yefei Chen is a scholar working on Genetics, Neurology, Biophysics, Ocean Engineering and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 411 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Neurological disorders and treatments (3 papers), Inflammasome and immune disorders (2 papers), Reservoir Engineering and Simulation Methods (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Receptor Mechanisms and Signaling (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Neurology (68 citations), Biophysics (34 citations), Cellular and Molecular Neuroscience (50 citations), Molecular Biology (151 citations) and Biological Psychiatry (3 citations). Yefei Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Danbin Wu, Bin Yu, Yingxin Sun, Qing Gao, Xijuan Jiang, Huhu Li, Zhengfei Yang, Zhonghua Lu, Ji Dai and Guoping Feng. Their work appears in journals such as Neuroscience Bulletin, Nature Communications, Alzheimer s & Dementia, Nature and Advanced Energy Materials.
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.