Fen Pei
Impact in
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- Calcium signaling and nucleotide metabolism
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 6
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- Gene Regulatory Network Analysis 3
- Receptor Mechanisms and Signaling 2
- RNA Interference and Gene Delivery 2
- Microbial Metabolic Engineering and Bioproduction 2
- Advanced biosensing and bioanalysis techniques 2
- Co-authors
- İvet Bahar (9 shared papers)D. Lansing Taylor (6 shared papers)Hongchun Li (3 shared papers)Liangren Zhang (4 shared papers)Hongwei Jin (4 shared papers)Bing Liu (3 shared papers)Andrew M. Stern (5 shared papers)Mark E. Schurdak (4 shared papers)
- Journals
- Scientific Reports (1 paper)Bioorganic & Medicinal Chemistry (1 paper)Journal of the American Chemical Society (1 paper)Frontiers in Pharmacology (1 paper)Chemistry - A European Journal (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Fen Pei
19 papers receiving 253 citations
Peers
Comparison fields: 5 of 70
- Physiology 16
- Computational Theory and Mathematics 39
- Molecular Biology 122
- Geriatrics and Gerontology 5
- Sensory Systems 7
Countries citing papers authored by Fen Pei
This map shows the geographic impact of Fen Pei'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 Fen Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen Pei more than expected).
Fields of papers citing papers by Fen Pei
This network shows the impact of papers produced by Fen Pei. 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 Fen Pei. The network helps show where Fen Pei may publish in the future.
Co-authors
The 25 scholars most cited alongside Fen Pei, 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 | 2014 | 33 | |
| 2 | 2016 | 29 | |
| 3 | 2021 | 28 | |
| 4 | 2020 | 24 | |
| 5 | 2019 | 23 | |
| 6 | 2020 | 21 | |
| 7 | 2017 | 17 | |
| 8 | 2012 | 14 | |
| 9 | 2015 | 11 | |
| 10 | 2014 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2016 | 6 | |
| 16 | 2018 | 4 | |
| 17 | 2024 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2019 | 1 |
About Fen Pei
Fen Pei is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 255 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Gene Regulatory Network Analysis (3 papers), Receptor Mechanisms and Signaling (2 papers), RNA Interference and Gene Delivery (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), COVID-19 Clinical Research Studies (1 paper) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Physiology (16 citations), Computational Theory and Mathematics (39 citations), Molecular Biology (122 citations), Geriatrics and Gerontology (5 citations) and Sensory Systems (7 citations). Fen Pei has collaborated with scholars based in United States, China and Italy. Frequent co-authors include İvet Bahar, D. Lansing Taylor, Hongchun Li, Liangren Zhang, Hongwei Jin, Bing Liu, Andrew M. Stern, Mark E. Schurdak, MengKe Feng and Xinjing Tang. Their work appears in journals such as Scientific Reports, Bioorganic & Medicinal Chemistry, Journal of the American Chemical Society, Frontiers in Pharmacology and Chemistry - A European Journal.
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.