Chenyi Fei
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Condensed Matter Physics top 10%
- Micro and Nano Robotics
Papers in
-
- Bacterial biofilms and quorum sensing 13
- Lipid Membrane Structure and Behavior 2
-
- Vibrio bacteria research studies 7
- Co-authors
- Ned S. Wingreen (13 shared papers)Bonnie L. Bassler (11 shared papers)Howard A. Stone (5 shared papers)Andrew A. Bridges (3 shared papers)Jing Yan (3 shared papers)Andrej Košmrlj (4 shared papers)Sheng Mao (3 shared papers)Boyang Qin (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Nature Communications (3 papers)PLANT PHYSIOLOGY (2 papers)PLoS Biology (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Chenyi Fei
18 papers receiving 647 citations
Peers
Comparison fields: 5 of 90
- Endocrinology 105
- Condensed Matter Physics 83
- Molecular Biology 431
- Molecular Medicine 31
- Surfaces, Coatings and Films 30
Countries citing papers authored by Chenyi Fei
This map shows the geographic impact of Chenyi Fei'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 Chenyi Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenyi Fei more than expected).
Fields of papers citing papers by Chenyi Fei
This network shows the impact of papers produced by Chenyi Fei. 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 Chenyi Fei. The network helps show where Chenyi Fei may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenyi Fei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 100 | |
| 2 | 2020 | 95 | |
| 3 | 2018 | 73 | |
| 4 | 2019 | 73 | |
| 5 | 2022 | 69 | |
| 6 | 2022 | 55 | |
| 7 | 2021 | 39 | |
| 8 | 2020 | 39 | |
| 9 | 2018 | 33 | |
| 10 | 2021 | 21 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2023 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 1 | |
| 19 | 2026 | 0 | |
| 20 | 2025 | 0 |
About Chenyi Fei
Chenyi Fei is a scholar working on Molecular Biology, Endocrinology, Ecology, Materials Chemistry and Condensed Matter Physics, having authored 22 papers that have together received 649 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (13 papers), Vibrio bacteria research studies (7 papers), Pickering emulsions and particle stabilization (5 papers), Bacterial Genetics and Biotechnology (4 papers), Micro and Nano Robotics (4 papers), Bacteriophages and microbial interactions (3 papers), Advanced Materials and Mechanics (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Endocrinology (105 citations), Condensed Matter Physics (83 citations), Molecular Biology (431 citations), Molecular Medicine (31 citations) and Surfaces, Coatings and Films (30 citations). Chenyi Fei has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Ned S. Wingreen, Bonnie L. Bassler, Howard A. Stone, Andrew A. Bridges, Jing Yan, Andrej Košmrlj, Sheng Mao, Boyang Qin, Ameya A. Mashruwala and Martin C. Jonikas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, PLANT PHYSIOLOGY, PLoS Biology and PLoS Genetics.
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.