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Richard Bonneau

D-Index & Metrics

Biology and Biochemistry

D-Index
88
Citations
35514
World Ranking
2656
National Ranking
1381

Richard Bonneau 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 Richard Bonneau 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: 295 publications — 77th percentile

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

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

Richard Bonneau 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 Richard Bonneau 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: 88 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

Richard Bonneau is affiliated with New York University in the United States. Their research primarily focuses on Biochemistry, Genetics, and Molecular Biology, with significant contributions to Molecular Biology as a central subfield. Other notable subfields include Sociology and Political Science, Communication, Materials Chemistry, and Artificial Intelligence.

Bonneau's work spans a range of topics, including:

  • Protein Structure and Dynamics
  • Machine Learning in Bioinformatics
  • Social Media and Politics
  • Single-cell and Spatial Transcriptomics
  • Gut Microbiota and Health
  • RNA and Protein Synthesis Mechanisms
  • Genomics and Phylogenetic Studies

Their publication record features frequent contributions to venues such as bioRxiv (Cold Spring Harbor Laboratory), SSRN Electronic Journal, arXiv (Cornell University), OPAL (Open@LaTrobe) from La Trobe University, and Nature Communications.

Several recent papers illustrate the range and focus of Bonneau's research. These include:

  • Structure-based protein function prediction using graph convolutional networks, 2021, Nature Communications
  • SARS-CoV-2 RNA concentrations in wastewater foreshadow dynamics and clinical presentation of new COVID-19 cases, 2021, The Science of The Total Environment
  • GABA-receptive microglia selectively sculpt developing inhibitory circuits, 2021, Cell
  • OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization, 2024, Nature Methods
  • Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments, 2020, eLife

Collaborations are an important aspect of their scholarly activity. Notable frequent coauthors include Vladimir Gligorijević, Jonathan Nagler, Joshua A. Tucker, Kyunghyun Cho, and P. Douglas Renfrew.

Best Publications

  • Sparse and Compositionally Robust Inference of Microbial Ecological Networks

    Zachary D. Kurtz;Christian L. Müller;Emily R. Miraldi;Dan R. Littman

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

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

  • The mRNA-Bound Proteome and Its Global Occupancy Profile on Protein-Coding Transcripts

    Alexander G. Baltz;Mathias Munschauer;Björn Schwanhäusser;Alexandra Vasile

  • A Validated Regulatory Network for Th17 Cell Specification

    Maria Ciofani;Aviv Madar;Aviv Madar;Carolina Galan;MacLean Sellars

  • Innate immune detection of the type III secretion apparatus through the NLRC4 inflammasome

    Edward A. Miao;Dat P. Mao;Natalya Yudkovsky;Richard Bonneau

  • High-definition spatial transcriptomics for in situ tissue profiling.

    Sanja Vickovic;Sanja Vickovic;Gökcen Eraslan;Fredrik Salmén;Johanna Klughammer

  • 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

  • Structure-based protein function prediction using graph convolutional networks.

    Vladimir Gligorijević;P. Douglas Renfrew;Tomasz Kosciolek;Tomasz Kosciolek;Julia Koehler Leman

  • Ab initio protein structure prediction of CASP III targets using ROSETTA

    Kim T. Simons;Rich Bonneau;Ingo Ruczinski;David Baker

  • The Inferelator: an algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo

    Richard A. Bonneau;Richard A. Bonneau;David J Reiss;Paul Shannon;Marc T. Facciotti

  • An IL-23R/IL-22 Circuit Regulates Epithelial Serum Amyloid A to Promote Local Effector Th17 Responses

    Teruyuki Sano;Wendy Huang;Jason A. Hall;Yi Yang

  • Why are there hotspot mutations in the TP53 gene in human cancers

    Evan H Baugh;Hua Ke;Arnold J Levine;Richard A Bonneau

  • Accurate de novo design of hyperstable constrained peptides.

    Gaurav Bhardwaj;Vikram Khipple Mulligan;Christopher D. Bahl;Jason M. Gilmore

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

  • Helminth infection promotes colonization resistance via type 2 immunity

    Deepshika Ramanan;Rowann Bowcutt;Soo Ching Lee;Mei San Tang

  • Ab Initio Protein Structure Prediction: Progress and Prospects

    Richard Bonneau;David Baker

  • c-MAF-dependent regulatory T cells mediate immunological tolerance to a gut pathobiont

    Mo Xu;Maria Pokrovskii;Yi Ding;Ren Yi

  • Serverification of molecular modeling applications: the Rosetta Online Server that Includes Everyone (ROSIE).

    Sergey Lyskov;Fang Chieh Chou;Shane Ó Conchúir;Bryan S. Der

  • Rosetta in CASP4: Progress in ab initio protein structure prediction

    Richard Bonneau;Jerry Tsai;Ingo Ruczinski;Dylan Chivian

  • Genome sequence of Haloarcula marismortui: A halophilic archaeon from the Dead Sea

    Nitin S. Baliga;Richard Bonneau;Marc T. Facciotti;Min Pan

Frequent Co-Authors

Dan R. Littman
Dan R. Littman New York University
Joshua A. Tucker
Joshua A. Tucker New York University
Jonathan Nagler
Jonathan Nagler New York University
David Baker
David Baker University of Washington
Nitin S. Baliga
Nitin S. Baliga University of Washington
Brian Kuhlman
Brian Kuhlman University of North Carolina at Chapel Hill
Jeffrey J. Gray
Jeffrey J. Gray Johns Hopkins University
Kent Kirshenbaum
Kent Kirshenbaum New York University
Tanja Kortemme
Tanja Kortemme University of California, San Francisco
John T. Jost
John T. Jost New York University

External Links

Wikipedia of Richard Bonneau Personal website of Richard Bonneau

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Best Scientists Citing Richard Bonneau

David Baker

David Baker

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Nitin S. Baliga

University of Washington

Publications: 85

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Vanderbilt University

Publications: 55

Jeffrey J. Gray

Jeffrey J. Gray

Johns Hopkins University

Publications: 47

Aviv Regev

Aviv Regev

Genentech

Publications: 44

Ruedi Aebersold

Ruedi Aebersold

ETH Zurich

Publications: 40

Alfredo Castello

Alfredo Castello

MRC-University of Glasgow Centre For Virus Research

Publications: 38

Martin J. Blaser

Martin J. Blaser

Rutgers, The State University of New Jersey

Publications: 36

Yang Zhang

Yang Zhang

University of Michigan–Ann Arbor

Publications: 35

Vijay K. Kuchroo

Vijay K. Kuchroo

Harvard University

Publications: 34

Matthias W. Hentze

Matthias W. Hentze

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Publications: 33

Rob Knight

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Publications: 28

Dan R. Littman

Dan R. Littman

New York University

Publications: 28

P'ng Loke

P'ng Loke

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Publications: 28

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Rhiju Das

Stanford University

Publications: 27

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Curtis Huttenhower

Harvard University

Publications: 25

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