Dmitry Lupyan

5.2k total citations · 1 hit paper
14 papers, 3.0k citations indexed

About

Dmitry Lupyan is a scholar working on Molecular Biology, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dmitry Lupyan has authored 14 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dmitry Lupyan's work include Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (4 papers) and Enzyme Structure and Function (4 papers). Dmitry Lupyan is often cited by papers focused on Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (4 papers) and Enzyme Structure and Function (4 papers). Dmitry Lupyan collaborates with scholars based in United States and Spain. Dmitry Lupyan's co-authors include Lingle Wang, Chuanjie Wu, Robert Abel, Edward Harder, Wolfgang Damm, Richard A. Friesner, Markus K. Dahlgren, Joseph W. Kaus, David S. Cerutti and Jon R. Maple and has published in prestigious journals such as Bioinformatics, The Journal of Physiology and Biophysical Journal.

In The Last Decade

Dmitry Lupyan

14 papers receiving 3.0k 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.

OPLS3: A Force Field Providing Broad Coverage of Drug-like Small Molecules and Proteins

2015 2.4k citations Edward Harder, Wolfgang Damm et al. Journal of Chemical Theory and Computation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dmitry Lupyan United States	12	1.9k	723	569	403	261	14	3.0k
Joseph W. Kaus United States	8	1.6k 0.8×	745 1.0×	586 1.0×	348 0.9×	124 0.5×	8	2.7k
Chaya S. Rapp United States	12	2.0k 1.0×	623 0.9×	378 0.7×	471 1.2×	156 0.6×	14	2.8k
Zoe Cournia Greece	28	2.1k 1.1×	968 1.3×	460 0.8×	510 1.3×	196 0.8×	65	3.2k
Markus A. Lill United States	29	1.9k 1.0×	1.3k 1.8×	550 1.0×	431 1.1×	277 1.1×	93	3.3k
Jennifer L. Knight United States	16	2.2k 1.1×	878 1.2×	682 1.2×	501 1.2×	143 0.5×	23	3.5k
Paul Labute Canada	20	1.7k 0.9×	922 1.3×	485 0.9×	368 0.9×	121 0.5×	42	2.9k
Georgia B. McGaughey United States	23	1.5k 0.8×	831 1.1×	682 1.2×	414 1.0×	154 0.6×	56	2.8k
Art E. Cho South Korea	20	1.4k 0.7×	528 0.7×	530 0.9×	306 0.8×	116 0.4×	67	2.6k
T. Dwight McGee United States	7	2.4k 1.2×	813 1.1×	519 0.9×	313 0.8×	151 0.6×	8	3.7k
David S. Cerutti United States	16	2.3k 1.2×	820 1.1×	656 1.2×	681 1.7×	175 0.7×	28	3.7k

Countries citing papers authored by Dmitry Lupyan

Since Specialization

Citations

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

Fields of papers citing papers by Dmitry Lupyan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Lupyan

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Wu, Chuanjie, Wolfgang Damm, David R. Langley, et al.. (2025). Accurate Physics-Based Prediction of Binding Affinities of RNA- and DNA-Targeting Ligands. Journal of Chemical Information and Modeling. 65(3). 1392–1403. 1 indexed citations

Lihan, Muyun, Dmitry Lupyan, & Daniel P. Oehme. (2022). Target‐template relationships in protein structure prediction and their effect on the accuracy of thermostability calculations. Protein Science. 32(2). e4557–e4557. 6 indexed citations

Duan, Jianxin, Dmitry Lupyan, & Lingle Wang. (2020). Improving the Accuracy of Protein Thermostability Predictions for Single Point Mutations. Biophysical Journal. 119(1). 115–127. 46 indexed citations

Yu, Haoyu S., Cen Gao, Dmitry Lupyan, et al.. (2019). Toward Atomistic Modeling of Irreversible Covalent Inhibitor Binding Kinetics. Journal of Chemical Information and Modeling. 59(9). 3955–3967. 29 indexed citations

Harder, Edward, Wolfgang Damm, Jon R. Maple, et al.. (2015). OPLS3: A Force Field Providing Broad Coverage of Drug-like Small Molecules and Proteins. Journal of Chemical Theory and Computation. 12(1). 281–296. 2391 indexed citations breakdown →

Lupyan, Dmitry, Yuriy A. Abramov, & Woody Sherman. (2012). Close intramolecular sulfur–oxygen contacts: modified force field parameters for improved conformation generation. Journal of Computer-Aided Molecular Design. 26(11). 1195–1205. 17 indexed citations

Lupyan, Dmitry, Mihaly Mezei, Diomedes E. Logothetis, & Roman Osman. (2010). A Molecular Dynamics Investigation of Lipid Bilayer Perturbation by PIP2. Biophysical Journal. 98(2). 240–247. 68 indexed citations

Lyman, Edward, Chris Higgs, Byungchan Kim, et al.. (2009). A Role for a Specific Cholesterol Interaction in Stabilizing the Apo Configuration of the Human A 2A Adenosine Receptor. Structure. 17(12). 1660–1668. 105 indexed citations

Buku, Angeliki, Inna Keselman, Dmitry Lupyan, Mihaly Mezei, & Joseph A. Price. (2008). Effective Mast Cell Degranulating Peptide Inhibitors of the IgE/FcɛRI Receptor Interaction. Chemical Biology & Drug Design. 72(2). 133–139. 14 indexed citations

10.

Logothetis, Diomedes E., Taihao Jin, Dmitry Lupyan, & Avia Rosenhouse‐Dantsker. (2007). Phosphoinositide-mediated gating of inwardly rectifying K+ channels. Pflügers Archiv - European Journal of Physiology. 455(1). 83–95. 99 indexed citations

11.

Logothetis, Diomedes E., Dmitry Lupyan, & Avia Rosenhouse‐Dantsker. (2007). Diverse Kir modulators act in close proximity to residues implicated in phosphoinositide binding. The Journal of Physiology. 582(3). 953–965. 48 indexed citations

12.

Lupyan, Dmitry, Alejandra Leo‐Macías, & Ángel R. Ortíz. (2005). A new progressive-iterative algorithm for multiple structure alignment. Bioinformatics. 21(15). 3255–3263. 107 indexed citations

13.

Leo‐Macías, Alejandra, Pedro López‐Romero, Dmitry Lupyan, Daniel R. Zerbino, & Ángel R. Ortíz. (2005). Core deformations in protein families: a physical perspective. Biophysical Chemistry. 115(2-3). 125–128. 11 indexed citations

14.

Leo‐Macías, Alejandra, Pedro López‐Romero, Dmitry Lupyan, Daniel R. Zerbino, & Ángel R. Ortíz. (2004). An Analysis of Core Deformations in Protein Superfamilies. Biophysical Journal. 88(2). 1291–1299. 95 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.

Explore authors with similar magnitude of impact