Tom Chou
Impact in
- Mathematical Physics top 1%
- Stochastic processes and statistical mechanics
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- Stochastic processes and statistical mechanics 28
-
- Theoretical and Computational Physics 10
- Co-authors
- Maria Rita D'Orsogna (41 shared papers)Greg Lakatos (4 shared papers)Kirone Mallick (1 shared paper)Royce K. P. Zia (1 shared paper)Sally M Blower (1 shared paper)Lucas Böttcher (16 shared papers)Detlef Lohse (1 shared paper)David R. Nelson (4 shared papers)
- Journals
- Biophysical Journal (13 papers)The Journal of Chemical Physics (12 papers)Physical Review Letters (9 papers)Physical Biology (7 papers)Journal of Statistical Physics (5 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Tom Chou
154 papers receiving 3.7k citations
Tom Chou's Hit Papers
Peers
Comparison fields: 5 of 150
- Mathematical Physics 845
- Virology 220
- Statistical and Nonlinear Physics 390
- Modeling and Simulation 166
- Condensed Matter Physics 285
Countries citing papers authored by Tom Chou
This map shows the geographic impact of Tom Chou'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 Tom Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Chou more than expected).
Fields of papers citing papers by Tom Chou
This network shows the impact of papers produced by Tom Chou. 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 Tom Chou. The network helps show where Tom Chou may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Chou, 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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Non-equilibrium statistical mechanics: from a paradigmatic model to biological transport Hit paper breakdown → | 2011 | 415 |
| 2 | 2004 | 213 | |
| 3 | 2004 | 179 | |
| 4 | 1999 | 121 | |
| 5 | 2003 | 116 | |
| 6 | 2021 | 101 | |
| 7 | 1998 | 88 | |
| 8 | 2009 | 88 | |
| 9 | 2009 | 85 | |
| 10 | 2003 | 80 | |
| 11 | 2013 | 73 | |
| 12 | 1998 | 60 | |
| 13 | 1997 | 57 | |
| 14 | 2001 | 53 | |
| 15 | 1999 | 52 | |
| 16 | 2014 | 51 | |
| 17 | 2014 | 46 | |
| 18 | 2023 | 46 | |
| 19 | 2009 | 44 | |
| 20 | 1993 | 42 |
About Tom Chou
Tom Chou is a scholar working on Mathematical Physics, Condensed Matter Physics, Statistical and Nonlinear Physics, Modeling and Simulation and Molecular Biology, having authored 156 papers that have together received 3.8k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (28 papers), Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), Theoretical and Computational Physics (10 papers), Nanopore and Nanochannel Transport Studies (8 papers), Diffusion and Search Dynamics (7 papers), HIV Research and Treatment (6 papers), Mathematical Biology Tumor Growth (6 papers) and Gene Regulatory Network Analysis (6 papers). The work is most often cited by research in Mathematical Physics (845 citations), Virology (220 citations), Statistical and Nonlinear Physics (390 citations), Modeling and Simulation (166 citations) and Condensed Matter Physics (285 citations). Tom Chou has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Maria Rita D'Orsogna, Greg Lakatos, Kirone Mallick, Royce K. P. Zia, Sally M Blower, Lucas Böttcher, Detlef Lohse, David R. Nelson, Chris Greenman and Benhur Lee. Their work appears in journals such as Biophysical Journal, The Journal of Chemical Physics, Physical Review Letters, Physical Biology and Journal of Statistical Physics.
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.