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Frank DiMaio

D-Index & Metrics

Biology and Biochemistry

D-Index
78
Citations
33158
World Ranking
4448
National Ranking
2162

Frank DiMaio 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 Frank DiMaio 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: 265 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Frank DiMaio 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 Frank DiMaio 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: 78 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Frank DiMaio is affiliated with the University of Washington in the United States. Their research primarily focuses on the field of Biochemistry, Genetics and Molecular Biology, with 187 publications in this broad area. Within this field, DiMaio contributes extensively to subfields such as Molecular Biology, Materials Chemistry, Structural Biology, Computational Theory and Mathematics, and Genetics.

The scientist's main research topics include Protein Structure and Dynamics, RNA and protein synthesis mechanisms, Enzyme Structure and Function, Advanced Electron Microscopy Techniques and Applications, Computational Drug Discovery Methods, Bacterial Genetics and Biotechnology, and Chemical Synthesis and Analysis.

Frank DiMaio has published in several prominent scientific venues. Frequent publication venues include bioRxiv (Cold Spring Harbor Laboratory), Science, Nature Communications, Zenodo (CERN European Organization for Nuclear Research), and Nature Methods.

Frequent co-authors associated with DiMaio's work are David Baker, Daniel P. Farrell, Minkyung Baek, Ivan Anishchenko, and Asim K. Bera. These collaborations highlight a network of scientific partnership in related research areas.

Some recent papers authored by or involving Frank DiMaio are:

  • Accurate prediction of protein structures and interactions using a three-track neural network (2021, Science)
  • De novo design of protein structure and function with RFdiffusion (2023, Nature)
  • Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020, Nature Methods)
  • Generalized biomolecular modeling and design with RoseTTAFold All-Atom (2024, Science)
  • De novo protein design by deep network hallucination (2021, Nature)

Best Publications

  • Accurate prediction of protein structures and interactions using a three-track neural network

    Minkyung Baek;Frank DiMaio;Ivan Anishchenko;Justas Dauparas

  • The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design.

    Rebecca F. Alford;Andrew Leaver-Fay;Jeliazko R. Jeliazkov;Matthew J. O’Meara

  • High resolution comparative modeling with RosettaCM

    Yifan Song;Frank DiMaio;Ray Yu-Ruei Wang;David Kim

  • EMRinger: side chain-directed model and map validation for 3D cryo-electron microscopy

    Benjamin A Barad;Nathaniel Echols;Ray Yu-Ruei Wang;Yifan Cheng

  • Macromolecular modeling and design in Rosetta: recent methods and frameworks

    Julia Koehler Leman;Brian D. Weitzner;Brian D. Weitzner;Steven M. Lewis;Steven M. Lewis;Jared Adolf-Bryfogle

  • Crystal structure of a monomeric retroviral protease solved by protein folding game players.

    Firas Khatib;Frank DiMaio;Seth Cooper;Maciej Kazmierczyk

  • Cryo-electron microscopy structure of a coronavirus spike glycoprotein trimer

    Alexandra C. Walls;M. Alejandra Tortorici;M. Alejandra Tortorici;Berend Jan Bosch;Brandon Frenz

  • Structure prediction for CASP8 with all‐atom refinement using Rosetta

    Srivatsan Raman;Robert Vernon;James Thompson;Michael Tyka

  • Automated structure refinement of macromolecular assemblies from cryo-EM maps using Rosetta

    Ray Yu-Ruei Wang;Yifan Song;Benjamin A Barad;Yifan Cheng

  • Simultaneous Optimization of Biomolecular Energy Functions on Features from Small Molecules and Macromolecules

    Hahnbeom Park;Philip Bradley;Per Greisen;Yuan Liu

  • Glycan shield and epitope masking of a coronavirus spike protein observed by cryo-electron microscopy.

    Alexandra C. Walls;M. Alejandra Tortorici;M. Alejandra Tortorici;Brandon Frenz;Joost Snijder

  • De novo protein design by deep network hallucination.

    Ivan Anishchenko;Samuel J. Pellock;Tamuka M. Chidyausiku;Theresa A. Ramelot

  • Alternate States of Proteins Revealed by Detailed Energy Landscape Mapping

    Michael D. Tyka;Daniel A. Keedy;Ingemar André;Frank DiMaio

  • Relaxation of backbone bond geometry improves protein energy landscape modeling

    Patrick Conway;Michael D. Tyka;Frank DiMaio;David E. Konerding

  • De novo design of protein homo-oligomers with modular hydrogen-bond network-mediated specificity.

    Scott E. Boyken;Zibo Chen;Benjamin Groves;Robert A. Langan

  • Atomic-accuracy models from 4.5-A cryo-electron microscopy data with density-guided iterative local refinement

    Frank DiMaio;Yifan Song;Xueming Li;Matthias J Brunner

  • Near-atomic model of microtubule-tau interactions.

    Elizabeth H. Kellogg;Elizabeth H. Kellogg;Nisreen M. A. Hejab;Simon Poepsel;Kenneth H. Downing

  • Refinement of protein structures into low-resolution density maps using rosetta.

    Frank DiMaio;Michael D. Tyka;Matthew L. Baker;Wah Chiu

  • High thermodynamic stability of parametrically designed helical bundles.

    Po Ssu Huang;Gustav Oberdorfer;Gustav Oberdorfer;Chunfu Xu;Xue Y. Pei

  • De novo protein design by deep network hallucination

    Ivan Anishchenko;Tamuka M. Chidyausiku;Sergey Ovchinnikov;Samuel J. Pellock

Frequent Co-Authors

David Baker
David Baker University of Washington
Paul D. Adams
Paul D. Adams Lawrence Berkeley National Laboratory
David Veesler
David Veesler University of Washington
Edward H. Egelman
Edward H. Egelman University of Virginia
Thomas C. Terwilliger
Thomas C. Terwilliger Los Alamos National Laboratory
Wah Chiu
Wah Chiu Stanford University
Jude W. Shavlik
Jude W. Shavlik University of Wisconsin–Madison
William N. Zagotta
William N. Zagotta University of Washington
M. Alejandra Tortorici
M. Alejandra Tortorici University of Washington
Brian Kuhlman
Brian Kuhlman University of North Carolina at Chapel Hill

External Links

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Best Scientists Citing Frank DiMaio

David Baker

David Baker

University of Washington

Publications: 169

Jens Meiler

Jens Meiler

Vanderbilt University

Publications: 107

Andrew B. Ward

Andrew B. Ward

Scripps Research Institute

Publications: 88

Wah Chiu

Wah Chiu

Stanford University

Publications: 65

Jeffrey J. Gray

Jeffrey J. Gray

Johns Hopkins University

Publications: 55

Paul D. Adams

Paul D. Adams

Lawrence Berkeley National Laboratory

Publications: 54

David Veesler

David Veesler

University of Washington

Publications: 48

Peter D. Kwong

Peter D. Kwong

Columbia University Medical Center

Publications: 35

Ian A. Wilson

Ian A. Wilson

Scripps Research Institute

Publications: 34

M. Alejandra Tortorici

M. Alejandra Tortorici

University of Washington

Publications: 32

Edward H. Egelman

Edward H. Egelman

University of Virginia

Publications: 32

Rogier W. Sanders

Rogier W. Sanders

University of Amsterdam

Publications: 31

Pavel V. Afonine

Pavel V. Afonine

Lawrence Berkeley National Laboratory

Publications: 30

Eva Nogales

Eva Nogales

University of California, Berkeley

Publications: 30

Yifan Cheng

Yifan Cheng

University of California, San Francisco

Publications: 27

Alexandra C. Walls

Alexandra C. Walls

University of Washington

Publications: 26

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