Tom Kurtzman
Impact in
-
- Computational Drug Discovery Methods
-
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
Papers in
-
- Protein Structure and Dynamics 16
- Receptor Mechanisms and Signaling 2
- Lipid Membrane Structure and Behavior 1
-
- Computational Drug Discovery Methods 8
- Co-authors
- Michael K. Gilson (12 shared papers)Crystal N. Nguyen (6 shared papers)Anthony Cruz (6 shared papers)Steven Ramsey (9 shared papers)Lieyang Chen (4 shared papers)José S. Duca (2 shared papers)Ross C. Walker (3 shared papers)Callum J. Dickson (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (7 papers)PLoS ONE (3 papers)Journal of Computer-Aided Molecular Design (2 papers)Journal of Chemical Information and Modeling (2 papers)The Journal of Physical Chemistry B (2 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Tom Kurtzman
21 papers receiving 744 citations
Peers
Comparison fields: 5 of 90
- Computational Theory and Mathematics 340
- Molecular Biology 600
- Physical and Theoretical Chemistry 65
- Atomic and Molecular Physics, and Optics 155
- Materials Chemistry 193
Countries citing papers authored by Tom Kurtzman
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
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-authors
The 25 scholars most cited alongside Tom Kurtzman, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 169 | |
| 2 | 2014 | 113 | |
| 3 | 2016 | 91 | |
| 4 | 2017 | 64 | |
| 5 | 2017 | 41 | |
| 6 | 2019 | 37 | |
| 7 | 2015 | 37 | |
| 8 | 2016 | 29 | |
| 9 | 2019 | 26 | |
| 10 | 2021 | 25 | |
| 11 | 2015 | 25 | |
| 12 | 2015 | 25 | |
| 13 | 2018 | 19 | |
| 14 | 2022 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2018 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2019 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 3 |
About Tom Kurtzman
Tom Kurtzman is a scholar working on Molecular Biology, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Materials Chemistry and Physical and Theoretical Chemistry, having authored 24 papers that have together received 756 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Computational Drug Discovery Methods (8 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Enzyme Structure and Function (4 papers), Drug Solubulity and Delivery Systems (2 papers), Receptor Mechanisms and Signaling (2 papers), Advanced Chemical Physics Studies (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Computational Theory and Mathematics (340 citations), Molecular Biology (600 citations), Physical and Theoretical Chemistry (65 citations), Atomic and Molecular Physics, and Optics (155 citations) and Materials Chemistry (193 citations). Tom Kurtzman has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Michael K. Gilson, Crystal N. Nguyen, Anthony Cruz, Steven Ramsey, Lieyang Chen, José S. Duca, Ross C. Walker, Callum J. Dickson, David Ryan Koes and Viktor Horn̆ák. Their work appears in journals such as Journal of Chemical Theory and Computation, PLoS ONE, Journal of Computer-Aided Molecular Design, Journal of Chemical Information and Modeling and The Journal of Physical Chemistry B.
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.