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David E. Shaw

D-Index & Metrics

Biology and Biochemistry

D-Index
107
Citations
69711
World Ranking
1071
National Ranking
644

David E. Shaw publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where David E. Shaw sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 413 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 848 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 949 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 840 scientists 207–216 publications: 733 scientists 217–226 publications: 708 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 417 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 196 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 59 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 287 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

David E. Shaw D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where David E. Shaw sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 316 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 899 scientists 52–53 D-Index: 1,025 scientists 54–55 D-Index: 1,149 scientists 56–57 D-Index: 1,235 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,162 scientists 62–63 D-Index: 1,130 scientists 64–65 D-Index: 1,031 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 714 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 71 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 107 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Research.com Recognitions

  • 2014 - ACM Gordon Bell Prize For Anton 2: Raising the Bar for Performance and Programmability in a Special-Purpose Molecular Dynamics Supercomputer
  • 2014 - Member of the National Academy of Sciences
  • 2012 - Member of the National Academy of Engineering For the architecture, design, and implementation of the Anton protein-folding supercomputer.
  • 2009 - ACM Gordon Bell Prize For Anton 2: Raising the Bar for Performance and Programmability in a Special-Purpose Molecular Dynamics Supercomputer
  • 2007 - Fellow of the American Academy of Arts and Sciences

Overview

David E. Shaw is affiliated with D. E. Shaw Research in the United States. Their research spans the fields of Biochemistry, Genetics and Molecular Biology as well as Medicine, with a focus on Molecular Biology, Computational Theory and Mathematics, Immunology, Infectious Diseases, and Pulmonary and Respiratory Medicine.

The scientist's work covers a range of topics including:

  • Protein Structure and Dynamics
  • RNA and protein synthesis mechanisms
  • Protein Tyrosine Phosphatases
  • Computational Drug Discovery Methods
  • Monoclonal and Polyclonal Antibodies Research
  • ATP Synthase and ATPases Research
  • Viral gastroenteritis research and epidemiology

Frequent coauthors include Andrew G. Taube, Robert T. McGibbon, Michael Bergdorf, Fabrizio Giordanetto, and Alexander Donchev.

David E. Shaw has published extensively in notable venues such as bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), Journal of Chemical Information and Modeling, Cancer Discovery, and Biophysical Journal.

Recent notable papers include:

  • Development of a Force Field for the Simulation of Single-Chain Proteins and Protein-Protein Complexes, 2020, Journal of Chemical Theory and Computation
  • Molecular Basis of Small-Molecule Binding to α-Synuclein, 2022, Journal of the American Chemical Society
  • Structural basis for backtracking by the SARS-CoV-2 replication-transcription complex, 2021, Proceedings of the National Academy of Sciences
  • Mechanism of Coupled Folding-upon-Binding of an Intrinsically Disordered Protein, 2020, Journal of the American Chemical Society
  • Structural Basis of AZD9291 Selectivity for EGFR T790M, 2020, Journal of Medicinal Chemistry

Among the awards received by David E. Shaw are the ACM Gordon Bell Prize, awarded in 2009 and 2014 for work on the Anton protein-folding supercomputer, membership in the National Academy of Engineering in 2012 for the architecture and implementation of Anton, and membership in the National Academy of Sciences in 2014. The scientist was also named a Fellow of the American Academy of Arts and Sciences in 2007.

Best Publications

  • Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

    Richard A Friesner;Jay L Banks;Robert B Murphy;Thomas A Halgren

  • Improved side‐chain torsion potentials for the Amber ff99SB protein force field

    Kresten Lindorff-Larsen;Stefano Piana;Kim Palmo;Paul Maragakis

  • A hierarchical approach to all-atom protein loop prediction.

    Matthew P. Jacobson;David L. Pincus;Chaya S. Rapp;Tyler J.F. Day

  • Scalable algorithms for molecular dynamics simulations on commodity clusters

    Kevin J. Bowers;Edmond Chow;Huafeng Xu;Ron O. Dror

  • How Fast-Folding Proteins Fold

    Kresten Lindorff-Larsen;Stefano Piana;Ron O. Dror;David E. Shaw;David E. Shaw

  • Atomic-Level Characterization of the Structural Dynamics of Proteins

    David E. Shaw;David E. Shaw;Paul Maragakis;Kresten Lindorff-Larsen;Stefano Piana

  • PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results

    Steven L. Dixon;Alexander M. Smondyrev;Eric H. Knoll;Eric H. Knoll;Shashidhar N. Rao

  • Anton, a special-purpose machine for molecular dynamics simulation

    David E. Shaw;Martin M. Deneroff;Ron O. Dror;Jeffrey S. Kuskin

  • Biomolecular Simulation: A Computational Microscope for Molecular Biology

    Ron O Dror;Robert M Dirks;J P Grossman;Huafeng Xu

  • How robust are protein folding simulations with respect to force field parameterization

    Stefano Piana;Kresten Lindorff-Larsen;David E. Shaw;David E. Shaw

  • Pathway and Mechanism of Drug Binding to G-Protein-Coupled Receptors

    Ron O. Dror;Albert C. Pan;Daniel H. Arlow;David W. Borhani

  • Long-timescale molecular dynamics simulations of protein structure and function.

    John L Klepeis;Kresten Lindorff-Larsen;Ron O Dror;David E Shaw;David E Shaw

  • The Dynamic Process of β2-Adrenergic Receptor Activation

    Rie Nygaard;Yaozhong Zou;Ron O. Dror;Thomas J. Mildorf

  • Structure and function of an irreversible agonist-β2 adrenoceptor complex

    Daniel M. Rosenbaum;Cheng Zhang;Joseph A. Lyons;Joseph A. Lyons;Ralph Holl

  • Developing a molecular dynamics force field for both folded and disordered protein states.

    Paul Robustelli;Stefano Piana;David Elliot Shaw;David Elliot Shaw

  • Structure and dynamics of the M3 muscarinic acetylcholine receptor

    Andrew C. Kruse;Jianxin Hu;Albert C. Pan;Daniel H. Arlow

  • A detailed and flexible cycle-accurate Network-on-Chip simulator

    Nan Jiang;Daniel U. Becker;George Michelogiannakis;James Balfour

  • Electronic mail system for displaying advertisement at local computer received from remote system while the local computer is off-line the remote system

    David E. Shaw;Charles E. Ardai;Brian D. Marsh;Mark A. Moraes

  • How does a drug molecule find its target binding site

    Yibing Shan;Eric T Kim;Michael P Eastwood;Ron O Dror

  • Water Dispersion Interactions Strongly Influence Simulated Structural Properties of Disordered Protein States

    Stefano Piana;Alexander G. Donchev;Paul Robustelli;David E. Shaw;David E. Shaw

Frequent Co-Authors

Kresten Lindorff-Larsen
Kresten Lindorff-Larsen University of Copenhagen
Andrew P. Mazar
Andrew P. Mazar Northwestern University
Cliff Young
Cliff Young Google (United States)
Brian K. Kobilka
Brian K. Kobilka Stanford University
Salvatore J. Stolfo
Salvatore J. Stolfo Columbia University
David E. Wemmer
David E. Wemmer University of California, Berkeley
John Kuriyan
John Kuriyan Vanderbilt University
Peter J. Parker
Peter J. Parker The Francis Crick Institute
William I. Weis
William I. Weis Stanford University
Roger K. Sunahara
Roger K. Sunahara University of California, San Diego

External Links

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Best Scientists Citing David E. Shaw

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