Michael Levitt

33.6k total citations · 26 hit papers
214 papers, 26.6k citations indexed

About

Michael Levitt is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Michael Levitt has authored 214 papers receiving a total of 26.6k indexed citations (citations by other indexed papers that have themselves been cited), including 180 papers in Molecular Biology, 100 papers in Materials Chemistry and 23 papers in Spectroscopy. Recurrent topics in Michael Levitt's work include Protein Structure and Dynamics (139 papers), Enzyme Structure and Function (93 papers) and RNA and protein synthesis mechanisms (56 papers). Michael Levitt is often cited by papers focused on Protein Structure and Dynamics (139 papers), Enzyme Structure and Function (93 papers) and RNA and protein synthesis mechanisms (56 papers). Michael Levitt collaborates with scholars based in United States, Israel and United Kingdom. Michael Levitt's co-authors include Arieh Warshel, Cyrus Chothia, Valerie Daggett, Mark Gerstein, Patrice Koehl, R. Sharon, M. F. Perutz, Jerry Tsai, Peter Stern and Jonathan Greer and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael Levitt

213 papers receiving 25.5k citations

Hit Papers

Theoretical studies of en... 1969 2026 1988 2007 1976 1976 1989 1976 1975 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Levitt 21.1k 9.2k 3.7k 3.0k 1.5k 214 26.6k
Kim A. Sharp 15.7k 0.7× 4.3k 0.5× 3.8k 1.0× 2.0k 0.7× 1.1k 0.7× 150 22.7k
Ken A. Dill 23.8k 1.1× 11.7k 1.3× 6.1k 1.7× 4.6k 1.5× 918 0.6× 368 33.3k
Brian W. Matthews 28.9k 1.4× 11.5k 1.2× 1.7k 0.5× 2.4k 0.8× 1.3k 0.8× 340 39.3k
Carlos Simmerling 20.9k 1.0× 5.3k 0.6× 2.6k 0.7× 2.4k 0.8× 1.2k 0.8× 106 28.3k
Robert E. Bruccoleri 13.8k 0.7× 3.8k 0.4× 2.5k 0.7× 1.9k 0.6× 2.4k 1.6× 58 18.8k
David J. States 13.9k 0.7× 3.7k 0.4× 2.6k 0.7× 3.0k 1.0× 759 0.5× 75 20.1k
Thomas E. Cheatham 29.0k 1.4× 4.9k 0.5× 3.6k 1.0× 2.5k 0.8× 1.3k 0.9× 185 39.1k
Huan‐Xiang Zhou 14.3k 0.7× 4.6k 0.5× 2.2k 0.6× 1.8k 0.6× 744 0.5× 407 18.9k
Michael Feig 16.6k 0.8× 4.4k 0.5× 2.9k 0.8× 2.0k 0.7× 692 0.5× 176 21.3k
Gregory A. Petsko 19.5k 0.9× 8.1k 0.9× 2.0k 0.5× 2.6k 0.9× 697 0.5× 368 29.2k

Countries citing papers authored by Michael Levitt

Since Specialization
Citations

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

Fields of papers citing papers by Michael Levitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Levitt

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Levitt. A scholar is included among the top collaborators of Michael Levitt 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 Michael Levitt. Michael Levitt 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.
Kamath, Ganesh, Igor V. Kurnikov, Е. Н. Воронина, et al.. (2024). Combining Force Fields and Neural Networks for an Accurate Representation of Bonded Interactions. The Journal of Physical Chemistry A. 128(4). 807–812. 3 indexed citations
2.
Ioannidis, John P. A., Francesco Zonta, & Michael Levitt. (2023). Variability in excess deaths across countries with different vulnerability during 2020–2023. Proceedings of the National Academy of Sciences. 120(49). e2309557120–e2309557120. 11 indexed citations
3.
Ioannidis, John P. A., Francesco Zonta, & Michael Levitt. (2023). Flaws and Uncertainties in Pandemic Global Excess Death Calculations. SSRN Electronic Journal. 2 indexed citations
4.
Ioannidis, John P. A., Francesco Zonta, & Michael Levitt. (2023). Estimates of COVID‐19 deaths in Mainland China after abandoning zero COVID policy. European Journal of Clinical Investigation. 53(4). e13956–e13956. 42 indexed citations
5.
Ioannidis, John P. A., Francesco Zonta, & Michael Levitt. (2023). Flaws and uncertainties in pandemic global excess death calculations. European Journal of Clinical Investigation. 53(8). e14008–e14008. 15 indexed citations
6.
Rodrigues, João, et al.. (2020). Insights on cross-species transmission of SARS-CoV-2 from structural modeling. PLoS Computational Biology. 16(12). e1008449–e1008449. 38 indexed citations
7.
Ufimtsev, Ivan S. & Michael Levitt. (2019). Unsupervised determination of protein crystal structures. Proceedings of the National Academy of Sciences. 116(22). 10813–10818. 3 indexed citations
8.
Kurnikov, Igor V., Ganesh Kamath, Igor Leontyev, et al.. (2018). On the importance of accounting for nuclear quantum effects in ab initio calibrated force fields in biological simulations. Proceedings of the National Academy of Sciences. 115(36). 8878–8882. 31 indexed citations
9.
Rodrigues, João, Boris Arshava, Łukasz Jaremko, et al.. (2018). The solution structure of monomeric CCL5 in complex with a doubly sulfated N‐terminal segment of CCR5. FEBS Journal. 285(11). 1988–2003. 33 indexed citations
10.
Ben-Aharon, Ziv, Michael Levitt, & Nir Kalisman. (2018). Automatic Inference of Sequence from Low-Resolution Crystallographic Data. Structure. 26(11). 1546–1554.e2. 1 indexed citations
11.
Silva, Daniel‐Adriano, Dahlia R. Weiss, Lin‐Tai Da, et al.. (2014). Millisecond dynamics of RNA polymerase II translocation at atomic resolution. Proceedings of the National Academy of Sciences. 111(21). 7665–7670. 125 indexed citations
12.
Kalisman, Nir, Gunnar F. Schröder, & Michael Levitt. (2013). The Crystal Structures of the Eukaryotic Chaperonin CCT Reveal Its Functional Partitioning. Structure. 21(4). 540–549. 49 indexed citations
13.
Brünger, Axel T., Paul D. Adams, Petra Fromme, et al.. (2012). Improving the Accuracy of Macromolecular Structure Refinement at 7 Å Resolution. Structure. 20(6). 957–966. 33 indexed citations
14.
Bernauer, Julie, Xuhui Huang, Adelene Y. L. Sim, & Michael Levitt. (2011). Fully differentiable coarse-grained and all-atom knowledge-based potentials for RNA structure evaluation. RNA. 17(6). 1066–1075. 70 indexed citations
15.
Weiss, Dahlia R., et al.. (2011). Optimized Torsion-Angle Normal Modes Reproduce Conformational Changes More Accurately Than Cartesian Modes. Biophysical Journal. 101(12). 2966–2969. 31 indexed citations
16.
Zhang, Junjie, Boxue Ma, Frank DiMaio, et al.. (2011). Cryo-EM Structure of a Group II Chaperonin in the Prehydrolysis ATP-Bound State Leading to Lid Closure. Structure. 19(5). 633–639. 43 indexed citations
17.
Huang, Xuhui, Dong Wang, Dahlia R. Weiss, et al.. (2010). RNA polymerase II trigger loop residues stabilize and position the incoming nucleotide triphosphate in transcription. Proceedings of the National Academy of Sciences. 107(36). 15745–15750. 60 indexed citations
18.
Mináry, Péter & Michael Levitt. (2010). Conformational Optimization with Natural Degrees of Freedom: A Novel Stochastic Chain Closure Algorithm. Journal of Computational Biology. 17(8). 993–1010. 22 indexed citations
19.
Wang, Dong, David Bushnell, Xuhui Huang, et al.. (2009). Structural Basis of Transcription: Backtracked RNA Polymerase II at 3.4 Angstrom Resolution. Science. 324(5931). 1203–1206. 203 indexed citations
20.
Levitt, Michael. (2009). Nature of the protein universe. Proceedings of the National Academy of Sciences. 106(27). 11079–11084. 228 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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