David Dotson

20 papers receiving 1.1k citations

David Dotson's Hit Papers

Open science discovery of potent noncovalent SARS-CoV-2 main protease inhibitors 2023 · 118 citations
1180+1+2Years since publication4080120

Peers

David Dotson
Comparison fields: 5 of 125
  • Computational Theory and Mathematics 168
  • Molecular Biology 619
  • Infectious Diseases 134
  • Spectroscopy 77
  • Biochemistry 29
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Lidio Meireles United States
Sara Núñez United States
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Marharyta G. Petukh United States
Edoardo Milanetti Italy
Fan Zheng China
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Citations per field
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Citations per year

Countries citing papers authored by David Dotson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with David Dotson Line = papers co-authored together David Dotson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013213
2 2021195
3
Development and Benchmarking of Open Force Field 2.0.0: The Sage Small Molecule Force Field
Hit paper breakdown →
2023141
4
Open science discovery of potent noncovalent SARS-CoV-2 main protease inhibitors
Hit paper breakdown →
2023118
5 201683
6 201682
7 201481
8 202244
9 202134
10 202220
11 202318
12 202416
13 20169
14 20248
15 20236
16 20236
17 20005
18 20223
19 20231
20 20231

About David Dotson

David Dotson is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry, Molecular Biology, Information Systems and Management and Oncology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (7 papers), Machine Learning in Materials Science (3 papers), Scientific Computing and Data Management (2 papers), Crystallography and molecular interactions (2 papers), Distributed and Parallel Computing Systems (2 papers), Lipid Membrane Structure and Behavior (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (168 citations), Molecular Biology (619 citations), Infectious Diseases (134 citations), Spectroscopy (77 citations) and Biochemistry (29 citations). David Dotson has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Oliver Beckstein, Povilas Uzdavinys, Alexander David Cameron, David A. Drew, So Iwata, Chiara Lee, Christoph von Ballmoos, Hae Joo Kang, Simon L. Newstead and Jana Shen. Their work appears in journals such as Journal of Chemical Information and Modeling, Acta Astronautica, Journal of Chemical Theory and Computation, The Journal of Physical Chemistry B and The Journal of General Physiology.

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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