Tom Chou
Impact in
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics
- Condensed Matter Physics top 2%
- Theoretical and Computational Physics
Papers in ⓘ
-
- Diffusion and Search Dynamics 10
- RNA Research and Splicing 5
- Single-cell and spatial transcriptomics 5
- Co-authors
- Greg Lakatos (5 shared papers)Maria R. D’Orsogna (32 shared papers)R. K. P. Zia (1 shared paper)K. Mallick (1 shared paper)Sally Blower (1 shared paper)Detlef Lohse (1 shared paper)Lucas Böttcher (13 shared papers)David R. Nelson (2 shared papers)
- Journals
- Biophysical Journal (11 papers)Physical Review Letters (9 papers)The Journal of Chemical Physics (7 papers)Physical Biology (4 papers)Bulletin of Mathematical Biology (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Tom Chou
125 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Mathematical Physics 526
- Condensed Matter Physics 547
- Virology 220
- Modeling and Simulation 168
- Statistical and Nonlinear Physics 390
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 130 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 | 331 |
| 2 | 2004 | 181 | |
| 3 | 2004 | 168 | |
| 4 | 1999 | 105 | |
| 5 | 2003 | 100 | |
| 6 | 2021 | 82 | |
| 7 | 1998 | 82 | |
| 8 | 2009 | 80 | |
| 9 | 2009 | 78 | |
| 10 | 2013 | 69 | |
| 11 | 1998 | 59 | |
| 12 | 2001 | 49 | |
| 13 | 2014 | 44 | |
| 14 | 2023 | 40 | |
| 15 | 1993 | 38 | |
| 16 | 2014 | 38 | |
| 17 | 1996 | 38 | |
| 18 | 2001 | 37 | |
| 19 | 2007 | 34 | |
| 20 | 1987 | 32 |
About Tom Chou
Tom Chou is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Radiology, Nuclear Medicine and Imaging and Condensed Matter Physics, having authored 130 papers that have together received 2.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), Diffusion and Search Dynamics (10 papers), Stochastic processes and statistical mechanics (10 papers), Theoretical and Computational Physics (9 papers), Force Microscopy Techniques and Applications (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), RNA Research and Splicing (5 papers) and Single-cell and spatial transcriptomics (5 papers). The work is most often cited by research in Mathematical Physics (526 citations), Condensed Matter Physics (547 citations), Virology (220 citations), Modeling and Simulation (168 citations) and Statistical and Nonlinear Physics (390 citations). Tom Chou has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Greg Lakatos, Maria R. D’Orsogna, R. K. P. Zia, K. Mallick, Sally Blower, Detlef Lohse, Lucas Böttcher, David R. Nelson, Sarah A. Nowak and Chris Greenman. Their work appears in journals such as Biophysical Journal, Physical Review Letters, The Journal of Chemical Physics, Physical Biology and Bulletin of Mathematical 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.