Tin Phan
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- COVID-19 epidemiological studies
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- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Mathematical Biology Tumor Growth 7
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- SARS-CoV-2 detection and testing 3
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Yang Kuang (20 shared papers)Bruce Pell (7 shared papers)Eric J. Kostelich (3 shared papers)Fuqing Wu (4 shared papers)Clay Prater (3 shared papers)Sharon M. Crook (2 shared papers)James J. Elser (4 shared papers)Kristina D. Mena (3 shared papers)
- Journals
- Applied Sciences (4 papers)Mathematical Biosciences & Engineering (2 papers)Proceedings of the National Academy of Sciences (2 papers)Water Research (1 paper)Journal of Theoretical Biology (1 paper)
- Partner nations
- United StatesSwedenChina
In The Last Decade
Tin Phan
28 papers receiving 300 citations
Peers
Comparison fields: 5 of 33
- Modeling and Simulation 84
- Infectious Diseases 50
- Aging 2
- Public Health, Environmental and Occupational Health 33
- Virology 4
Countries citing papers authored by Tin Phan
This map shows the geographic impact of Tin 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 Tin Phan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tin Phan more than expected).
Fields of papers citing papers by Tin Phan
This network shows the impact of papers produced by Tin 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 Tin Phan. The network helps show where Tin Phan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tin 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 44 | |
| 2 | 2022 | 37 | |
| 3 | 2020 | 34 | |
| 4 | 2019 | 22 | |
| 5 | 2024 | 18 | |
| 6 | 2023 | 15 | |
| 7 | 2024 | 14 | |
| 8 | 2018 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2016 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2025 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2018 | 5 | |
| 20 | 2024 | 5 |
About Tin Phan
Tin Phan is a scholar working on Modeling and Simulation, Infectious Diseases, Public Health, Environmental and Occupational Health, Virology and Statistical and Nonlinear Physics, having authored 28 papers that have together received 307 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), SARS-CoV-2 detection and testing (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Isotope Analysis in Ecology (1 paper), RNA and protein synthesis mechanisms (1 paper), HIV Research and Treatment (1 paper) and Insect and Arachnid Ecology and Behavior (1 paper). The work is most often cited by research in Modeling and Simulation (84 citations), Infectious Diseases (50 citations), Aging (2 citations), Public Health, Environmental and Occupational Health (33 citations) and Virology (4 citations). Tin Phan has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Yang Kuang, Bruce Pell, Eric J. Kostelich, Fuqing Wu, Clay Prater, Sharon M. Crook, James J. Elser, Kristina D. Mena, Alan Haruo Bryce and Ruian Ke. Their work appears in journals such as Applied Sciences, Mathematical Biosciences & Engineering, Proceedings of the National Academy of Sciences, Water Research and Journal of Theoretical Biology.
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.