Michael Levitt

33.8k citations
220 papers · 28.5k · 26 hit papers · h-index 81

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • DNA and Nucleic Acid Chemistry
    • Machine Learning in Bioinformatics
    • Glycosylation and Glycoproteins Research

Papers in

    • Protein Structure and Dynamics 141
    • RNA and protein synthesis mechanisms 53
    • Machine Learning in Bioinformatics 21
    • Glycosylation and Glycoproteins Research 20
    • DNA and Nucleic Acid Chemistry 20
    • Genomics and Phylogenetic Studies 17
    • Enzyme Structure and Function 94

Michael Levitt

218 papers receiving 27.1k citations

Michael Levitt's Hit Papers

Super-resolution biomolecular crystallography with low-resolution data 2010 · 234 citations
2340+16+32Years since publication2505007501000

Peers

Michael Levitt
Comparison fields: 5 of 197
  • Molecular Biology 22.0k
  • Structural Biology 327
  • Materials Chemistry 9.5k
  • Spectroscopy 3.2k
  • Physical and Theoretical Chemistry 1.5k
Replace William Humphrey with:
William Humphrey United States
Charles L. Brooks United States
Bernard R. Brooks United States
Christophe Chipot France
Emad Tajkhorshid United States
Ken A. Dill United States
Wei Wang China
José N. Onuchic United States
J. C. Phillips United States
İvet Bahar United States
Michael Levitt relative to William Humphrey United States William Humphrey's profile →
Citations per field
00.5×1.7×
William Humphrey · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michael Levitt, 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 Michael Levitt Line = papers co-authored together Michael Levitt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 220 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Theoretical studies of enzymic reactions: Dielectric, electrostatic and steric stabilization of the carbonium ion in the reaction of lysozyme
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19763861
2
Structural patterns in globular proteins
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19761093
3
Conformations of immunoglobulin hypervariable regions
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19891037
4
A simplified representation of protein conformations for rapid simulation of protein folding
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1976955
5
Computer simulation of protein folding
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1975857
6
Conformation of amino acid side-chains in proteins
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1978718
7
Structure of nucleosome core particles of chromatin
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1977647
8
Aromatic rings act as hydrogen bond acceptors
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1988634
9
Protein normal-mode dynamics: Trypsin inhibitor, crambin, ribonuclease and lysozyme
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1985625
10
Conformational preferences of amino acids in globular proteins
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1978599
11
Calibration and Testing of a Water Model for Simulation of the Molecular Dynamics of Proteins and Nucleic Acids in Solution
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1997497
12
Helix to helix packing in proteins
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1981494
13
Automatic identification of secondary structure in globular proteins
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1977462
14
Accurate simulation of protein dynamics in solution.
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1988395
15
Potential energy function and parameters for simulations of the molecular dynamics of proteins and nucleic acids in solution
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1995394
16
Refinement of protein conformations using a macromolecular energy minimization procedure
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1969380
17
Energy Functions that Discriminate X-ray and Near-native Folds from Well-constructed Decoys
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1996362
18
Detailed Molecular Model for Transfer Ribonucleic Acid
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1969354
19
Refinement of large structures by simultaneous minimization of energy and R factor
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1978324
20
Molecular dynamics of native protein
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1983312

About Michael Levitt

Michael Levitt is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Cell Biology and Atomic and Molecular Physics, and Optics, having authored 220 papers that have together received 28.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (141 papers), Enzyme Structure and Function (94 papers), RNA and protein synthesis mechanisms (53 papers), Machine Learning in Bioinformatics (21 papers), Glycosylation and Glycoproteins Research (20 papers), DNA and Nucleic Acid Chemistry (20 papers), Mass Spectrometry Techniques and Applications (17 papers) and Genomics and Phylogenetic Studies (17 papers). The work is most often cited by research in Molecular Biology (22.0k citations), Structural Biology (327 citations), Materials Chemistry (9.5k citations), Spectroscopy (3.2k citations) and Physical and Theoretical Chemistry (1.5k citations). Michael Levitt has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Arieh Warshel, Cyrus Chothia, Valerie Daggett, Mark Gerstein, Patrice Koehl, R. Sharon, M. F. Perutz, Jerry Tsai, Jonathan Greer and Enoch S. Huang. Their work appears in journals such as Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Nature, Proteins Structure Function and Bioinformatics and Biochemistry.

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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