Phylip Chen
Impact in
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
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- Cancer-related molecular mechanisms research
Papers in
- Epidemiology 12
- Respiratory viral infections research 10
- Virology and Viral Diseases 1
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- RNA modifications and cancer 3
- Co-authors
- Mark E. Peeples (14 shared papers)Richard F. Ransom (1 shared paper)Danica Petrovic‐Djergovic (1 shared paper)Tad Eichler (1 shared paper)Seetharamaiah Chittiprol (1 shared paper)Mijia Lu (4 shared papers)Chuan He (3 shared papers)Jiànróng Lǐ (6 shared papers)
- Journals
- PLoS Pathogens (3 papers)Journal of Virology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesSouth KoreaTürkiye
In The Last Decade
Phylip Chen
13 papers receiving 282 citations
Peers
Comparison fields: 5 of 50
- Nephrology 40
- Cancer Research 64
- Molecular Biology 184
- Modeling and Simulation 10
- Infectious Diseases 36
Countries citing papers authored by Phylip Chen
This map shows the geographic impact of Phylip 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 Phylip Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phylip Chen more than expected).
Fields of papers citing papers by Phylip Chen
This network shows the impact of papers produced by Phylip 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 Phylip Chen. The network helps show where Phylip Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Phylip 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 | 81 | |
| 2 | 2011 | 56 | |
| 3 | 2022 | 53 | |
| 4 | 2021 | 27 | |
| 5 | 2019 | 20 | |
| 6 | 2023 | 15 | |
| 7 | 2015 | 13 | |
| 8 | 2023 | 7 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2025 | 1 | |
| 13 | 2014 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2026 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Phylip Chen
Phylip Chen is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Oncology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 286 indexed citations. Recurring topics across this work include Respiratory viral infections research (10 papers), RNA modifications and cancer (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Neonatal Respiratory Health Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Animal Virus Infections Studies (2 papers) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Nephrology (40 citations), Cancer Research (64 citations), Molecular Biology (184 citations), Modeling and Simulation (10 citations) and Infectious Diseases (36 citations). Phylip Chen has collaborated with scholars based in United States, South Korea and Türkiye. Frequent co-authors include Mark E. Peeples, Richard F. Ransom, Danica Petrovic‐Djergovic, Tad Eichler, Seetharamaiah Chittiprol, Mijia Lu, Chuan He, Jiànróng Lǐ, Xueya Liang and Stefan Niewiesk. Their work appears in journals such as PLoS Pathogens, Journal of Virology, Proceedings of the National Academy of Sciences, Nature Communications and Science Advances.
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.