Jason Phan
Impact in
- Molecular Biology top 5%
- Protein Kinase Regulation and GTPase Signaling
- Protein Degradation and Inhibitors
- Chemical Synthesis and Analysis
- Protein Structure and Dynamics
- Genomics and Chromatin Dynamics
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- Computational Drug Discovery Methods
Papers in
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- Protein Kinase Regulation and GTPase Signaling 13
- Protein Degradation and Inhibitors 7
- Protein Tyrosine Phosphatases 4
- Biochemical and Molecular Research 4
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- Computational Drug Discovery Methods 4
- Co-authors
- Stephen W. Fesik (18 shared papers)Edward T. Olejniczak (9 shared papers)David S. Waugh (10 shared papers)Qi Sun (5 shared papers)Alex G. Waterson (11 shared papers)Olivia W. Rossanese (6 shared papers)Michael C. Burns (5 shared papers)Joseph E. Tropea (6 shared papers)
- Journals
- Journal of Medicinal Chemistry (13 papers)Journal of Biological Chemistry (3 papers)Biochemistry (3 papers)ACS Medicinal Chemistry Letters (2 papers)Protein Science (2 papers)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Jason Phan
37 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 1.9k
- Computational Theory and Mathematics 371
- Endocrinology 65
- Oncology 248
- Organic Chemistry 221
Countries citing papers authored by Jason Phan
This map shows the geographic impact of Jason Phan'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 Jason Phan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Phan more than expected).
Fields of papers citing papers by Jason Phan
This network shows the impact of papers produced by Jason Phan. 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 Jason Phan. The network helps show where Jason Phan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Phan, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 468 | |
| 2 | 2019 | 357 | |
| 3 | 2015 | 247 | |
| 4 | 2002 | 214 | |
| 5 | 2014 | 162 | |
| 6 | 2009 | 150 | |
| 7 | 2001 | 102 | |
| 8 | 2019 | 89 | |
| 9 | 2003 | 87 | |
| 10 | 2014 | 77 | |
| 11 | 2001 | 68 | |
| 12 | 2022 | 66 | |
| 13 | 2018 | 56 | |
| 14 | 2020 | 55 | |
| 15 | 2018 | 50 | |
| 16 | 2019 | 49 | |
| 17 | 2004 | 45 | |
| 18 | 2018 | 45 | |
| 19 | 2003 | 43 | |
| 20 | 2018 | 36 |
About Jason Phan
Jason Phan is a scholar working on Molecular Biology, Computational Theory and Mathematics, Virology, Infectious Diseases and Materials Chemistry, having authored 40 papers that have together received 2.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (13 papers), Protein Degradation and Inhibitors (7 papers), Enzyme Structure and Function (5 papers), Protein Tyrosine Phosphatases (4 papers), Biochemical and Molecular Research (4 papers), Computational Drug Discovery Methods (4 papers), Synthesis and biological activity (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Computational Theory and Mathematics (371 citations), Endocrinology (65 citations), Oncology (248 citations) and Organic Chemistry (221 citations). Jason Phan has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Stephen W. Fesik, Edward T. Olejniczak, David S. Waugh, Qi Sun, Alex G. Waterson, Olivia W. Rossanese, Michael C. Burns, Joseph E. Tropea, Taekyu Lee and Jason P. Burke. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Biochemistry, ACS Medicinal Chemistry Letters and Protein Science.
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.