Tom Kurtzman

3.0k total citations
24 papers, 756 citations indexed

About

Tom Kurtzman is a scholar working on Molecular Biology, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Tom Kurtzman has authored 24 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Tom Kurtzman's work include Protein Structure and Dynamics (16 papers), Computational Drug Discovery Methods (8 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). Tom Kurtzman is often cited by papers focused on Protein Structure and Dynamics (16 papers), Computational Drug Discovery Methods (8 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). Tom Kurtzman collaborates with scholars based in United States, South Korea and Canada. Tom Kurtzman's co-authors include Michael K. Gilson, Crystal N. Nguyen, Anthony Cruz, Steven Ramsey, Lieyang Chen, José S. Duca, Ross C. Walker, Callum J. Dickson, Viktor Horn̆ák and David Ryan Koes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Tom Kurtzman

21 papers receiving 744 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Kurtzman United States 13 600 340 193 155 97 24 756
Brian K. Radak United States 17 809 1.3× 272 0.8× 216 1.1× 246 1.6× 97 1.0× 27 1.1k
Nathan M. Lim United States 14 561 0.9× 252 0.7× 208 1.1× 159 1.0× 81 0.8× 19 744
Sara Núñez United States 19 602 1.0× 121 0.4× 262 1.4× 114 0.7× 131 1.4× 32 1.0k
Michael Chiu United States 10 679 1.1× 523 1.5× 313 1.6× 115 0.7× 123 1.3× 11 908
Crystal N. Nguyen United States 8 500 0.8× 190 0.6× 137 0.7× 212 1.4× 97 1.0× 9 650
Anthony Cruz United States 11 427 0.7× 241 0.7× 159 0.8× 88 0.6× 66 0.7× 23 614
Dan Sindhikara United States 15 895 1.5× 241 0.7× 206 1.1× 182 1.2× 147 1.5× 26 1.2k
Chiduru Watanabe Japan 18 550 0.9× 270 0.8× 157 0.8× 151 1.0× 105 1.1× 55 898
Zhixiong Lin Switzerland 14 484 0.8× 102 0.3× 130 0.7× 159 1.0× 72 0.7× 35 677
Frank P. Hollinger United States 6 710 1.2× 126 0.4× 232 1.2× 192 1.2× 151 1.6× 8 921

Countries citing papers authored by Tom Kurtzman

Since Specialization
Citations

This map shows the geographic impact of Tom Kurtzman'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 Kurtzman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Kurtzman more than expected).

Fields of papers citing papers by Tom Kurtzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Kurtzman. 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 Kurtzman. The network helps show where Tom Kurtzman may publish in the future.

Co-authorship network of co-authors of Tom Kurtzman

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Kurtzman. A scholar is included among the top collaborators of Tom Kurtzman 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 Kurtzman. Tom Kurtzman 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.
Waibl, Franz, Monica L. Fernández‐Quintero, Steven Ramsey, et al.. (2025). Quantifying Spatially Resolved Hydration Thermodynamics Using Grid Inhomogeneous Solvation Theory [v1.0]. 6(1). 3059–3059.
2.
Ramsey, Steven, et al.. (2025). Solvation Energetic Costs of Cognate Binding Site Formation. Journal of Chemical Information and Modeling. 65(17). 9177–9195.
3.
Tan, Yu-Hong, Mayukh Chakrabarti, Reed M. Stein, et al.. (2025). Development of Receptor Desolvation Scoring and Covalent Sampling in DOCK 6: Methods Evaluated on a RAS Test Set. Journal of Chemical Information and Modeling. 65(2). 722–748.
4.
Gilson, Michael K. & Tom Kurtzman. (2024). Free Energy Density of a Fluid and Its Role in Solvation and Binding. Journal of Chemical Theory and Computation. 20(7). 2871–2887. 3 indexed citations
5.
Kurtzman, Tom, et al.. (2022). Application of the alchemical transfer and potential of mean force methods to the SAMPL8 host-guest blinded challenge. Journal of Computer-Aided Molecular Design. 36(1). 63–76. 11 indexed citations
6.
Wickstrom, Lauren, Emilio Gallicchio, Lieyang Chen, Tom Kurtzman, & Nanjie Deng. (2022). Developing end-point methods for absolute binding free energy calculation using the Boltzmann-quasiharmonic model. Physical Chemistry Chemical Physics. 24(10). 6037–6052. 5 indexed citations
7.
Chen, Lieyang, Anthony Cruz, Daniel R. Roe, et al.. (2021). Thermodynamic Decomposition of Solvation Free Energies with Particle Mesh Ewald and Long-Range Lennard-Jones Interactions in Grid Inhomogeneous Solvation Theory. Journal of Chemical Theory and Computation. 17(5). 2714–2724. 25 indexed citations
8.
Cruz, Anthony, et al.. (2020). An online repository of solvation thermodynamic and structural maps of SARS-CoV-2 targets. Journal of Computer-Aided Molecular Design. 34(12). 1219–1228. 8 indexed citations
9.
Ben‐Shalom, Ido, Charles Lin, Tom Kurtzman, Ross C. Walker, & Michael K. Gilson. (2020). Equilibration of Buried Water Molecules to Enhance Protein-Ligand Binding Free Energy Calculations. Biophysical Journal. 118(3). 144a–144a. 3 indexed citations
10.
Ramsey, Steven, et al.. (2019). Inclusion of enclosed hydration effects in the binding free energy estimation of dopamine D3 receptor complexes. PLoS ONE. 14(9). e0222902–e0222902. 6 indexed citations
11.
Nguyen, Crystal N., Takeshi Yamazaki, Andriy Kovalenko, et al.. (2019). A molecular reconstruction approach to site-based 3D-RISM and comparison to GIST hydration thermodynamic maps in an enzyme active site. PLoS ONE. 14(7). e0219473–e0219473. 26 indexed citations
12.
He, Peng, Sheila Sarkar, Emilio Gallicchio, Tom Kurtzman, & Lauren Wickstrom. (2019). Role of Displacing Confined Solvent in the Conformational Equilibrium of β-Cyclodextrin. The Journal of Physical Chemistry B. 123(40). 8378–8386. 10 indexed citations
13.
Chen, Lieyang, Anthony Cruz, Steven Ramsey, et al.. (2019). Hidden bias in the DUD-E dataset leads to misleading performance of deep learning in structure-based virtual screening. PLoS ONE. 14(8). e0220113–e0220113. 169 indexed citations
14.
Ben‐Shalom, Ido, Charles Lin, Tom Kurtzman, Ross C. Walker, & Michael K. Gilson. (2019). Simulating Water Exchange to Buried Binding Sites. Journal of Chemical Theory and Computation. 15(4). 2684–2691. 37 indexed citations
15.
Jung, Sang Won, et al.. (2018). Water Pharmacophore: Designing Ligands using Molecular Dynamics Simulations with Water. Scientific Reports. 8(1). 10400–10400. 19 indexed citations
16.
Gallicchio, Emilio, et al.. (2018). New Dopamine D3-Selective Receptor Ligands Containing a 6-Methoxy-1,2,3,4-tetrahydroisoquinolin-7-ol Motif. ACS Medicinal Chemistry Letters. 9(10). 990–995. 9 indexed citations
17.
Cruz, Anthony, et al.. (2017). Solvation Structure and Thermodynamic Mapping (SSTMap): An Open-Source, Flexible Package for the Analysis of Water in Molecular Dynamics Trajectories. Journal of Chemical Theory and Computation. 14(1). 418–425. 41 indexed citations
18.
Ramsey, Steven, Crystal N. Nguyen, Romelia Salomón–Ferrer, et al.. (2016). Solvation thermodynamic mapping of molecular surfaces in AmberTools: GIST. Journal of Computational Chemistry. 37(21). 2029–2037. 91 indexed citations
19.
Wickstrom, Lauren, Nanjie Deng, Peng He, et al.. (2015). Parameterization of an effective potential for protein–ligand binding from host–guest affinity data. Journal of Molecular Recognition. 29(1). 10–21. 25 indexed citations
20.
Nguyen, Crystal N., Tom Kurtzman, & Michael K. Gilson. (2015). Spatial Decomposition of Translational Water–Water Correlation Entropy in Binding Pockets. Journal of Chemical Theory and Computation. 12(1). 414–429. 37 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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