Tom Chou

4.1k total citations · 1 hit paper
130 papers, 2.8k citations indexed

About

Tom Chou is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Tom Chou has authored 130 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 14 papers in Statistical and Nonlinear Physics and 14 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Tom Chou's work include HIV Research and Treatment (10 papers), Stochastic processes and statistical mechanics (10 papers) and Diffusion and Search Dynamics (10 papers). Tom Chou is often cited by papers focused on HIV Research and Treatment (10 papers), Stochastic processes and statistical mechanics (10 papers) and Diffusion and Search Dynamics (10 papers). Tom Chou collaborates with scholars based in United States, Germany and United Kingdom. Tom Chou's co-authors include Greg Lakatos, Maria R. D’Orsogna, K. Mallick, R. K. P. Zia, Sally Blower, Detlef Lohse, Lucas Böttcher, David R. Nelson, Sarah A. Nowak and Chris Greenman and has published in prestigious journals such as Cell, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

Tom Chou

125 papers receiving 2.7k citations

Hit Papers

Non-equilibrium statistical mechanics: from a paradigmati... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tom Chou United States 27 769 547 526 390 295 130 2.8k
Michael W. Deem United States 42 1.2k 1.6× 436 0.8× 87 0.2× 347 0.9× 115 0.4× 144 6.6k
Donald J. Jacobs United States 29 2.2k 2.8× 335 0.6× 102 0.2× 240 0.6× 114 0.4× 105 4.1k
Vitaly Volpert France 31 506 0.7× 139 0.3× 417 0.8× 317 0.8× 121 0.4× 305 5.2k
Joseph Rudnick United States 39 984 1.3× 2.1k 3.8× 550 1.0× 1.1k 2.8× 92 0.3× 148 6.0k
Stefan Klumpp Germany 34 3.2k 4.1× 1.1k 2.0× 561 1.1× 576 1.5× 45 0.2× 122 5.2k
Flavio Seno Italy 33 2.3k 2.9× 535 1.0× 213 0.4× 556 1.4× 44 0.1× 114 3.8k
Aaron R. Dinner United States 49 4.9k 6.4× 498 0.9× 72 0.1× 514 1.3× 106 0.4× 158 9.1k
M. Gregory Forest United States 33 711 0.9× 278 0.5× 343 0.7× 1.2k 3.0× 66 0.2× 206 4.5k
Henrik Jeldtoft Jensen United Kingdom 33 331 0.4× 1.9k 3.5× 317 0.6× 1.1k 2.8× 70 0.2× 178 4.9k
Daniel Coombs Canada 35 892 1.2× 72 0.1× 84 0.2× 114 0.3× 336 1.1× 85 3.5k

Countries citing papers authored by Tom Chou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tom Chou

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Chou. A scholar is included among the top collaborators of Tom Chou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Chou. Tom Chou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Xiangting & Tom Chou. (2023). Stochastic nucleosome disassembly mediated by remodelers and histone fragmentation. The Journal of Chemical Physics. 159(20). 2 indexed citations
2.
Böttcher, Lucas, Tom Chou, & Maria R. D’Orsogna. (2023). Modeling and forecasting age-specific drug overdose mortality in the United States. The European Physical Journal Special Topics. 232(11). 1743–1752. 4 indexed citations
3.
Li, Xiangting & Tom Chou. (2022). Stochastic dynamics and ribosome-RNAP interactions in transcription-translation coupling. Biophysical Journal. 122(1). 254–266. 4 indexed citations
4.
Böttcher, Lucas, Maria R. D’Orsogna, & Tom Chou. (2021). A statistical model of COVID-19 testing in populations: effects of sampling bias and testing errors. arXiv (Cornell University). 13 indexed citations
5.
Chuang, Yao-Li, et al.. (2019). A Mathematical Model of the Effects of Aging on Naive T Cell Populations and Diversity. Bulletin of Mathematical Biology. 81(7). 2783–2817. 10 indexed citations
6.
D’Orsogna, Maria R., et al.. (2018). The Effects of Statistical Multiplicity of Infection on Virus Quantification and Infectivity Assays. Biophysical Journal. 114(12). 2974–2985. 12 indexed citations
7.
8.
Chou, Tom & Chris Greenman. (2016). A kinetic theory for age-structured stochastic birth-death processes. Bulletin of the American Physical Society. 2016. 1 indexed citations
9.
Chou, Tom & Chris Greenman. (2016). A Hierarchical Kinetic Theory of Birth, Death and Fission in Age-Structured Interacting Populations. Journal of Statistical Physics. 164(1). 49–76. 29 indexed citations
10.
Greenman, Chris & Tom Chou. (2016). Kinetic theory of age-structured stochastic birth-death processes. Physical review. E. 93(1). 12112–12112. 20 indexed citations
11.
Goyal, Sidhartha, Sanggu Kim, Irvin S. Y. Chen, & Tom Chou. (2015). Mechanisms of blood homeostasis: lineage tracking and a neutral model of cell populations in rhesus macaques. BMC Biology. 13(1). 85–85. 22 indexed citations
12.
Chou, Tom & Michael Siegel. (2013). The mechanics of retinal detachment. Bulletin of the American Physical Society. 2013. 3 indexed citations
13.
Chikere, Kelechi, Tom Chou, Paul R. Gorry, & Benhur Lee. (2012). Affinofile profiling: How efficiency of CD4/CCR5 usage impacts the biological and pathogenic phenotype of HIV. Virology. 435(1). 81–91. 21 indexed citations
14.
Chou, Tom & Michael Siegel. (2012). A mechanical model of retinal detachment. Physical Biology. 9(4). 46001–46001. 14 indexed citations
15.
Nowak, Sarah A. & Tom Chou. (2010). Models of dynamic extraction of lipid tethers from cell membranes. Physical Biology. 7(2). 26002–26002. 11 indexed citations
16.
Chou, Tom, et al.. (2004). Physics of RecA-Mediated Homologous Recognition. Biophysical Journal. 87(3). 1466–1477. 19 indexed citations
17.
Blower, Sally & Tom Chou. (2004). Modeling the emergence of the 'hot zones': tuberculosis and the amplification dynamics of drug resistance. Nature Medicine. 10(10). 1111–1116. 168 indexed citations
18.
Chou, Tom. (2004). Water Alignment, Dipolar Interactions, and Multiple Proton Occupancy during Water-Wire Proton Transport. Biophysical Journal. 86(5). 2827–2836. 15 indexed citations
19.
Chou, Tom, et al.. (2001). Statistical Thermodynamics of Membrane Bending-Mediated Protein–Protein Attractions. Biophysical Journal. 80(3). 1075–1087. 49 indexed citations
20.
Cusack, Bernadette, Tom Chou, Karen Jansen, Daniel McCormick, & Elliott Richelson. (2000). Analysis of binding sites and efficacy of a species‐specific peptide at rat and human neurotensin receptors. Journal of Peptide Research. 55(1). 72–80. 8 indexed citations

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.

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