David Dotson
- Molecular Biology top 10%
- Protein Structure and Dynamics 8
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- Computational Drug Discovery Methods 5
- Spectroscopy top 5%
- Materials Chemistry top 10%
- Machine Learning in Materials Science 3
- Enzyme Structure and Function 2
- Graphene research and applications 1
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- Crystallography and molecular interactions 2
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- Advanced Thermodynamics and Statistical Mechanics 1
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- Plant and Biological Electrophysiology Studies 1
- Co-authors
- Oliver BecksteinMax LinkeRichard GowersSean L. SeylerSébastien BuchouxIan M. KenneyTyler ReddyManuel N. Melo
- Journals
- Acta Astronautica (2 papers)Journal of Chemical Information and Modeling (2 papers)Journal of Chemical Theory and Computation (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
David Dotson
22 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.2k
- Computational Theory and Mathematics 219
- Spectroscopy 165
- Materials Chemistry 389
- Physical and Theoretical Chemistry 58
Countries citing papers authored by David Dotson
This map shows the geographic impact of David Dotson'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 David Dotson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Dotson more than expected).
Fields of papers citing papers by David Dotson
This network shows the impact of papers produced by David Dotson. 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 David Dotson. The network helps show where David Dotson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Dotson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2024 | 6 | |
| 3 | Development and Benchmarking of Open Force Field 2.0.0: The Sage Small Molecule Force Fieldbreakdown → | 2023 | 111 |
| 4 | SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentialsbreakdown → | 2023 | 104 |
| 5 | 2023 | 3 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 35 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 3 | |
| 13 | 2019 | 3 | |
| 14 | MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulationsbreakdown → | 2016 | 1133 |
| 15 | 2016 | 77 | |
| 16 | 2016 | 76 | |
| 17 | 2016 | 1 | |
| 18 | 2016 | 9 | |
| 19 | 2014 | 75 | |
| 20 | 2013 | 201 |
About David Dotson
David Dotson is a scholar working on Physical and Theoretical Chemistry, Computational Theory and Mathematics and Software, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (3 papers), Crystallography and molecular interactions (2 papers), Enzyme Structure and Function (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper), Graphene research and applications (1 paper) and Plant and Biological Electrophysiology Studies (1 paper). The work is most often cited by research in Molecular Biology (1.2k citations), Computational Theory and Mathematics (219 citations) and Spectroscopy (165 citations). David Dotson has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Oliver Beckstein, Max Linke, Richard Gowers, Sean L. Seyler, Sébastien Buchoux, Ian M. Kenney, Tyler Reddy, Manuel N. Melo, Jonathan Barnoud and Jan Domański. Their work appears in journals such as Acta Astronautica, Journal of Chemical Information and Modeling, Journal of Chemical Theory and Computation, Biophysical Journal and Nature Communications.
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.