David Dotson

3.6k total citations · 3 hit papers
22 papers, 1.9k citations indexed

About

David Dotson is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, David Dotson has authored 22 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Materials Chemistry and 5 papers in Computational Theory and Mathematics. Recurrent topics in David Dotson's work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (5 papers) and Machine Learning in Materials Science (3 papers). David Dotson is often cited by papers focused on Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (5 papers) and Machine Learning in Materials Science (3 papers). David Dotson collaborates with scholars based in United States, United Kingdom and Germany. David Dotson's co-authors include Oliver Beckstein, Max Linke, Richard Gowers, Sean L. Seyler, Ian M. Kenney, Jonathan Barnoud, Tyler Reddy, Jan Domański, Manuel N. Melo and Sébastien Buchoux and has published in prestigious journals such as Nature, Nature Communications and The Journal of Physical Chemistry B.

In The Last Decade

David Dotson

22 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations

2016 1.1k citations Richard Gowers, Max Linke et al. Proceedings of the Python in Science Conferences profile →
Development and Benchmarking of Open Force Field 2.0.0: The Sage Small Molecule Force Field

2023 111 citations Simon Boothroyd, Pavan Kumar Behara et al. Journal of Chemical Theory and Computation profile →
SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials

2023 104 citations Peter Eastman, Pavan Kumar Behara et al. Scientific Data profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Dotson United States	10	1.2k	389	219	188	165	22	1.9k
Carlos X. Hernández United States	8	1.6k 1.3×	498 1.3×	250 1.1×	174 0.9×	249 1.5×	12	2.1k
K. Anton Feenstra Netherlands	23	1.6k 1.3×	276 0.7×	305 1.4×	182 1.0×	216 1.3×	60	2.2k
Boris Aguilar United States	14	1.3k 1.1×	284 0.7×	291 1.3×	174 0.9×	86 0.5×	34	1.9k
Timothy R. Lezon United States	13	1.3k 1.0×	334 0.9×	203 0.9×	111 0.6×	141 0.9×	24	1.6k
Yutong Zhao China	4	1.3k 1.0×	454 1.2×	286 1.3×	275 1.5×	199 1.2×	7	1.8k
Chaya Stern United States	4	1.3k 1.1×	497 1.3×	339 1.5×	292 1.6×	186 1.1×	5	1.9k
Rafal Wiewiora United States	7	1.5k 1.2×	571 1.5×	365 1.7×	301 1.6×	193 1.2×	10	2.1k
Naveen Michaud‐Agrawal United States	4	1.7k 1.4×	438 1.1×	166 0.8×	329 1.8×	204 1.2×	4	2.7k
M J Harvey United Kingdom	19	1.4k 1.2×	484 1.2×	366 1.7×	161 0.9×	242 1.5×	64	2.5k
Tyler Reddy United Kingdom	14	1.1k 0.9×	217 0.6×	90 0.4×	168 0.9×	104 0.6×	25	1.7k

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-authorship network of co-authors of David Dotson

This figure shows the co-authorship network connecting the top 25 collaborators of David Dotson. A scholar is included among the top collaborators of David Dotson 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 David Dotson. David Dotson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Behara, Pavan Kumar, Hyesu Jang, Joshua T. Horton, et al.. (2024). Benchmarking Quantum Mechanical Levels of Theory for Valence Parametrization in Force Fields. The Journal of Physical Chemistry B. 128(32). 7888–7902. 6 indexed citations

Wu, Zhiyi, David Dotson, Bryce K. Allen, et al.. (2024). alchemlyb: the simple alchemistry library. The Journal of Open Source Software. 9(101). 6934–6934. 6 indexed citations

Boothroyd, Simon, Pavan Kumar Behara, David F. Hahn, et al.. (2023). Development and Benchmarking of Open Force Field 2.0.0: The Sage Small Molecule Force Field. Journal of Chemical Theory and Computation. 19(11). 3251–3275. 111 indexed citations breakdown →

Eastman, Peter, Pavan Kumar Behara, David Dotson, et al.. (2023). SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials. Scientific Data. 10(1). 11–11. 104 indexed citations breakdown →

Bornhorst, Miriam, Surajit Bhattacharya, Christopher Rossi, et al.. (2023). Optical genome mapping identifies a novel pediatric embryonal tumor with a ZNF532::NUTM1 fusion. The Journal of Pathology. 260(3). 329–338. 3 indexed citations

Wright, Dennis H., et al.. (2023). Conditions at the interface between the space elevator tether and its climber. Acta Astronautica. 211. 631–649. 1 indexed citations

Boothroyd, Simon, David R. Slochower, David Dotson, et al.. (2023). Tuning Potential Functions to Host–Guest Binding Data. Journal of Chemical Theory and Computation. 20(1). 239–252. 6 indexed citations

D’Amore, Lorenzo, David F. Hahn, David Dotson, et al.. (2022). Collaborative Assessment of Molecular Geometries and Energies from the Open Force Field. Journal of Chemical Information and Modeling. 62(23). 6094–6104. 13 indexed citations

Horton, Joshua T., Simon Boothroyd, Jeffrey Wagner, et al.. (2022). Open Force Field BespokeFit: Automating Bespoke Torsion Parametrization at Scale. Journal of Chemical Information and Modeling. 62(22). 5622–5633. 35 indexed citations

10.

Dotson, David, et al.. (2022). Climate action and growing electricity demand: Meeting both challenges in the 21st century with space-based solar power delivered by space elevator. Acta Astronautica. 198. 761–766. 3 indexed citations

11.

Wagner, Jeff, et al.. (2021). openforcefield/openff-forcefields: Version 1.3.1 "Parsley" Update. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

12.

Wagner, Jeff, et al.. (2020). openforcefield/openforcefields: Version 1.3.0 "Parsley" Update. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations

13.

Beckstein, Oliver, Pedro Lacerda, Jan Domański, et al.. (2019). Becksteinlab/GromacsWrapper: Release 0.8.0. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations

14.

Gowers, Richard, Max Linke, Jonathan Barnoud, et al.. (2016). MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations. Proceedings of the Python in Science Conferences. 98–105. 1133 indexed citations breakdown →

15.

Dotson, David, et al.. (2016). MDSynthesis: release-0.6.1. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

16.

Huang, Yandong, et al.. (2016). Mechanism of pH-dependent activation of the sodium-proton antiporter NhaA. Nature Communications. 7(1). 12940–12940. 77 indexed citations

17.

Coincon, M., Povilas Uzdavinys, Emmanuel Nji, et al.. (2016). Crystal structures reveal the molecular basis of ion translocation in sodium/proton antiporters. Nature Structural & Molecular Biology. 23(3). 248–255. 76 indexed citations

18.

Dotson, David, Sean L. Seyler, Max Linke, Richard Gowers, & Oliver Beckstein. (2016). datreant: persistent, Pythonic trees for heterogeneous data. Proceedings of the Python in Science Conferences. 51–56. 9 indexed citations

19.

Lee, Chiara, David Dotson, Povilas Uzdavinys, et al.. (2014). Crystal structure of the sodium–proton antiporter NhaA dimer and new mechanistic insights. The Journal of General Physiology. 144(6). 529–544. 75 indexed citations

20.

Lee, Chiara, Hae Joo Kang, Christoph von Ballmoos, et al.. (2013). A two-domain elevator mechanism for sodium/proton antiport. Nature. 501(7468). 573–577. 201 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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