Ron O. Dror

48.2k total citations · 24 hit papers
172 papers, 31.8k citations indexed

About

Ron O. Dror is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Spectroscopy. According to data from OpenAlex, Ron O. Dror has authored 172 papers receiving a total of 31.8k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Molecular Biology, 49 papers in Cellular and Molecular Neuroscience and 33 papers in Spectroscopy. Recurrent topics in Ron O. Dror's work include Receptor Mechanisms and Signaling (59 papers), Neuropeptides and Animal Physiology (38 papers) and Protein Structure and Dynamics (34 papers). Ron O. Dror is often cited by papers focused on Receptor Mechanisms and Signaling (59 papers), Neuropeptides and Animal Physiology (38 papers) and Protein Structure and Dynamics (34 papers). Ron O. Dror collaborates with scholars based in United States, Japan and Germany. Ron O. Dror's co-authors include David E. Shaw, Kresten Lindorff‐Larsen, Stefano Piana, John L. Klepeis, Paul Maragakis, Scott A. Hollingsworth, Michael P. Eastwood, Yibing Shan, Kim Palmö and Huafeng Xu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ron O. Dror

169 papers receiving 31.4k citations

Hit Papers

Improved side‐chain torsion potentials for the Amber ff99... 2006 2026 2012 2019 2010 2006 2018 2011 2010 1000 2.0k 3.0k 4.0k
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.

  1. Improved side‐chain torsion potentials for the Amber ff99SB protein force field
    2010 4.7k citations Paul Maragakis, John L. Klepeis et al. profile →
  2. Molecular dynamics---Scalable algorithms for molecular dynamics simulations on commodity clusters
    2006 1.9k citations K. J. Bowers, Federico D. Sacerdoti et al. profile →
  3. Molecular Dynamics Simulation for All
    2018 1.8k citations Ron O. Dror et al. profile →
  4. How Fast-Folding Proteins Fold
    2011 1.5k citations Ron O. Dror, David E. Shaw et al. Science profile →
  5. Atomic-Level Characterization of the Structural Dynamics of Proteins
    2010 1.4k citations David E. Shaw, Paul Maragakis et al. Science profile →
  6. Scalable Algorithms for Molecular Dynamics Simulations on Commodity Clusters
    2006 1.2k citations K. J. Bowers, Huafeng Xu et al. profile →
  7. Biomolecular Simulation: A Computational Microscope for Molecular Biology
    2012 856 citations Ron O. Dror, Huafeng Xu et al. profile →
  8. Structural insights into µ-opioid receptor activation
    2015 700 citations Aashish Manglik, AJ Venkatakrishnan et al. Nature profile →
  9. Structure and dynamics of the M3 muscarinic acetylcholine receptor
    2012 648 citations Andrew C. Kruse, Albert C. Pan et al. Nature profile →
  10. The Dynamic Process of β2-Adrenergic Receptor Activation
    2013 646 citations Ron O. Dror, Thomas J. Mildorf et al. profile →
  11. Structure and function of an irreversible agonist-β2 adrenoceptor complex
    2011 643 citations Daniel H. Arlow, Roger K. Sunahara et al. Nature profile →
  12. Pathway and mechanism of drug binding to G-protein-coupled receptors
    2011 594 citations Ron O. Dror, Albert C. Pan et al. Proceedings of the National Academy of Sciences profile →
  13. Long-timescale molecular dynamics simulations of protein structure and function
    2009 578 citations John L. Klepeis, Ron O. Dror et al. profile →
  14. GPCR Dynamics: Structures in Motion
    2016 554 citations Naomi R. Latorraca, AJ Venkatakrishnan et al. Chemical Reviews profile →
  15. Systematic Validation of Protein Force Fields against Experimental Data
    2012 538 citations Paul Maragakis, Michael P. Eastwood et al. profile →
  16. Structure of the µ-opioid receptor–Gi protein complex
    2018 495 citations Shoji Maeda, Qianhui Qu et al. Nature profile →
  17. Activation mechanism of theβ2-adrenergic receptor
    2011 484 citations Ron O. Dror, Daniel H. Arlow et al. Proceedings of the National Academy of Sciences profile →
  18. How Does a Drug Molecule Find Its Target Binding Site?
    2011 484 citations Yibing Shan, Eric T. Kim et al. profile →
  19. High-resolution crystal structure of human protease-activated receptor 1
    2012 361 citations Yoga Srinivasan, Daniel H. Arlow et al. Nature profile →
  20. Structure of a Signaling Cannabinoid Receptor 1-G Protein Complex
    2019 318 citations Kaavya Krishna Kumar, Michael J. Robertson et al. profile →
  21. Oncogenic Mutations Counteract Intrinsic Disorder in the EGFR Kinase and Promote Receptor Dimerization
    2012 276 citations Yibing Shan, Michael P. Eastwood et al. profile →
  22. Structure of hepcidin-bound ferroportin reveals iron homeostatic mechanisms
    2020 242 citations Alexander S. Powers, Ron O. Dror et al. Nature profile →
  23. Geometric deep learning of RNA structure
    2021 235 citations Raphael J.L. Townshend, Stephan Eismann et al. Science profile →
  24. The Art and Science of Molecular Docking
    2024 143 citations Joseph M. Paggi, Ron O. Dror et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ron O. Dror United States 76 23.8k 6.4k 4.3k 4.3k 3.0k 172 31.8k
David E. Shaw United States 85 29.5k 1.2× 4.4k 0.7× 7.8k 1.8× 6.1k 1.4× 3.3k 1.1× 282 43.5k
Michele Vendruscolo United Kingdom 98 29.6k 1.2× 2.7k 0.4× 2.9k 0.7× 8.1k 1.9× 3.7k 1.2× 570 41.7k
Wonpil Im United States 64 20.2k 0.8× 2.4k 0.4× 2.0k 0.5× 2.7k 0.6× 1.9k 0.6× 319 27.4k
Emad Tajkhorshid United States 74 20.8k 0.9× 3.4k 0.5× 1.4k 0.3× 4.1k 1.0× 2.5k 0.8× 358 31.4k
Ruben Abagyan United States 83 21.8k 0.9× 3.4k 0.5× 5.7k 1.3× 3.0k 0.7× 2.4k 0.8× 347 30.7k
Junmei Wang China 67 25.1k 1.1× 2.5k 0.4× 7.7k 1.8× 7.1k 1.6× 3.7k 1.2× 416 45.8k
Elaine C. Meng United States 29 32.3k 1.4× 2.7k 0.4× 4.1k 1.0× 4.9k 1.1× 1.4k 0.5× 35 50.0k
Barry Honig United States 108 37.5k 1.6× 6.0k 0.9× 3.8k 0.9× 9.0k 2.1× 4.1k 1.4× 347 51.3k
Thomas D. Goddard United States 13 30.2k 1.3× 2.2k 0.3× 3.2k 0.7× 4.6k 1.1× 1.3k 0.4× 13 47.2k
Carlos Simmerling United States 43 20.9k 0.9× 1.2k 0.2× 3.6k 0.8× 5.3k 1.2× 2.4k 0.8× 106 28.3k

Countries citing papers authored by Ron O. Dror

Since Specialization
Citations

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

Fields of papers citing papers by Ron O. Dror

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ron O. Dror. 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 Ron O. Dror. The network helps show where Ron O. Dror may publish in the future.

Co-authorship network of co-authors of Ron O. Dror

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

All Works

20 of 20 papers shown
1.
Fan, Minrui, Chen-Wei Tsai, Jinru Zhang, et al.. (2025). Structure and mechanism of the mitochondrial calcium transporter NCLX. Nature. 646(8087). 1272–1280. 1 indexed citations
2.
Powers, Alexander S., Joseph M. Paggi, Naomi R. Latorraca, et al.. (2024). A non-canonical mechanism of GPCR activation. Nature Communications. 15(1). 9938–9938. 10 indexed citations
3.
Neelands, Torben R., Alexander S. Powers, Yan Liu, et al.. (2023). CryoEM structures of the human CLC-2 voltage-gated chloride channel reveal a ball-and-chain gating mechanism. eLife. 12. 7 indexed citations
4.
Kumar, Kaavya Krishna, Michael J. Robertson, Haoqing Wang, et al.. (2023). Structural basis for activation of CB1 by an endocannabinoid analog. Nature Communications. 14(1). 2672–2672. 29 indexed citations
5.
Tsutsumi, Naotaka, Shoji Maeda, Qianhui Qu, et al.. (2022). Atypical structural snapshots of human cytomegalovirus GPCR interactions with host G proteins. Science Advances. 8(3). eabl5442–eabl5442. 21 indexed citations
6.
Townshend, Raphael J.L., Stephan Eismann, Andrew M. Watkins, et al.. (2021). Geometric deep learning of RNA structure. Science. 373(6558). 1047–1051. 235 indexed citations breakdown →
7.
Zhang, Jinru, Deniz Aydın, Yan Xu, et al.. (2021). Structure and mechanism of blood–brain-barrier lipid transporter MFSD2A. Nature. 596(7872). 444–448. 60 indexed citations
8.
Suomivuori, Carl‐Mikael, Naomi R. Latorraca, Laura M. Wingler, et al.. (2020). Molecular mechanism of biased signaling in a prototypical G protein–coupled receptor. Science. 367(6480). 881–887. 167 indexed citations
9.
Schmidt, Hayden R., Robin M. Betz, Ron O. Dror, & Andrew C. Kruse. (2018). Structural basis for σ1 receptor ligand recognition. Nature Structural & Molecular Biology. 25(10). 981–987. 115 indexed citations
10.
Bokoch, Michael P., Hyunil Jo, James R. Valcourt, et al.. (2018). Entry from the Lipid Bilayer: A Possible Pathway for Inhibition of a Peptide G Protein-Coupled Receptor by a Lipophilic Small Molecule. Biochemistry. 57(39). 5748–5758. 22 indexed citations
11.
Townshend, Raphael J.L., Rishi Bedi, & Ron O. Dror. (2018). Generalizable Protein Interface Prediction with End-to-End Learning.. arXiv (Cornell University). 3 indexed citations
12.
Latorraca, Naomi R., AJ Venkatakrishnan, & Ron O. Dror. (2016). GPCR Dynamics: Structures in Motion. Chemical Reviews. 117(1). 139–155. 554 indexed citations breakdown →
13.
Dror, Ron O., Thomas J. Mildorf, Daniel Hilger, et al.. (2015). Structural basis for nucleotide exchange in heterotrimeric G proteins. Science. 348(6241). 1361–1365. 216 indexed citations
14.
Arkhipov, Anton, Yibing Shan, Eric T. Kim, Ron O. Dror, & David E. Shaw. (2013). Her2 activation mechanism reflects evolutionary preservation of asymmetric ectodomain dimers in the human EGFR family. eLife. 2. e00708–e00708. 65 indexed citations
15.
Dror, Ron O., Albert C. Pan, Daniel H. Arlow, et al.. (2011). Pathway and mechanism of drug binding to G-protein-coupled receptors. Proceedings of the National Academy of Sciences. 108(32). 13118–13123. 594 indexed citations breakdown →
16.
Tu, Tiankai, Charles A. Rendleman, Patrick J. O. Miller, et al.. (2010). Accelerating parallel analysis of scientific simulation data via Zazen. File and Storage Technologies. 10–10. 18 indexed citations
17.
Shan, Yibing, Markus A. Seeliger, Michael P. Eastwood, et al.. (2008). A conserved protonation-dependent switch controls drug binding in the Abl kinase. Proceedings of the National Academy of Sciences. 106(1). 139–144. 216 indexed citations
18.
Tu, Tiankai, Charles A. Rendleman, David W. Borhani, et al.. (2008). A scalable parallel framework for analyzing terascale molecular dynamics simulation trajectories. IEEE International Conference on High Performance Computing, Data, and Analytics. 56. 36 indexed citations
19.
Arkin, Isaiah T., Huafeng Xu, Morten Ø. Jensen, et al.. (2007). Mechanism of Na + /H + Antiporting. Science. 317(5839). 799–803. 124 indexed citations
20.
Fleming, Roland W., Ron O. Dror, & Edward H. Adelson. (2001). How do Humans Determine Reflectance Properties under Unknown Illumination. DSpace@MIT (Massachusetts Institute of Technology). 1–8. 17 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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