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D-Index & Metrics

Molecular Biology

D-Index
71
Citations
45587
World Ranking
1339
National Ranking
680

Roland L. Dunbrack publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Roland L. Dunbrack sits on this spectrum.

47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47 publications 564+

This scientist: 196 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

Roland L. Dunbrack D-index placement in Molecular Biology in 2026

The chart shows the D-index (discipline H-index) distribution of Molecular Biology scientists ranked by Research.com in 2026. The highlighted bar marks where Roland L. Dunbrack sits on this spectrum.

40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40 D-Index 145+

This scientist: 71 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

Overview

Roland L. Dunbrack is affiliated with the Fox Chase Cancer Center in the United States. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology, with a focus on Molecular Biology, Materials Chemistry, Oncology, Immunology, and Genetics as notable subfields.

The scholar's work covers multiple key topics, including:

  • Protein Structure and Dynamics
  • Enzyme Structure and Function
  • RNA and protein synthesis mechanisms
  • Ubiquitin and proteasome pathways
  • Monoclonal and Polyclonal Antibodies Research
  • Protein Kinase Regulation and GTPase Signaling
  • Bioinformatics and Genomic Networks

Recent publications reflect a focus on structural biology and computational modeling. Notable papers include:

  • "Macromolecular modeling and design in Rosetta: recent methods and frameworks," 2020, Nature Methods
  • "Kincore: a web resource for structural classification of protein kinases and their inhibitors," 2021, Nucleic Acids Research
  • "PDBe-KB: collaboratively defining the biological context of structural data," 2021, Nucleic Acids Research
  • "ProtCID: a data resource for structural information on protein interactions," 2020, Nature Communications
  • "CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods," 2024, Genome Biology

The scientist frequently collaborates with other researchers in their field, including:

  • Bulat Faezov
  • Jared Adolf-Bryfogle
  • Jeffrey J. Gray
  • Brian Kuhlman
  • Jason W. Labonte

Publication venues with frequent contributions include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nucleic Acids Research
  • Nature Communications

The research output of Roland L. Dunbrack is extensively connected to protein science, structural classification, and computational biology, making contributions that span experimental and data-driven approaches within molecular life sciences.

Best Publications

  • All-atom empirical potential for molecular modeling and dynamics studies of proteins.

    A. D. MacKerell;D. Bashford;M. Bellott;R. L. Dunbrack

  • PISCES: a protein sequence culling server

    Guoli Wang;Roland L. Dunbrack

  • Improved prediction of protein side-chain conformations with SCWRL4.

    Georgii G. Krivov;Maxim V. Shapovalov;Roland L. Dunbrack

  • A graph-theory algorithm for rapid protein side-chain prediction

    Adrian A. Canutescu;Andrew A. Shelenkov;Roland L. Dunbrack

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

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

  • PONDR-FIT: a meta-predictor of intrinsically disordered amino acids.

    Bin Xue;Roland L. Dunbrack;Robert W. Williams;A. Keith Dunker

  • Backbone-dependent Rotamer Library for Proteins Application to Side-chain Prediction

    Roland L. Dunbrack;Martin Karplus

  • Bayesian statistical analysis of protein side-chain rotamer preferences

    Roland L. Dunbrack;Fred E. Cohen

  • A smoothed backbone-dependent rotamer library for proteins derived from adaptive kernel density estimates and regressions

    Maxim V. Shapovalov;Roland L. Dunbrack

  • 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

  • Rotamer libraries in the 21st century.

    Roland L Dunbrack

  • Formation of MacroH2A-Containing Senescence-Associated Heterochromatin Foci and Senescence Driven by ASF1a and HIRA

    Rugang Zhang;Maxim V. Poustovoitov;Maxim V. Poustovoitov;Xiaofen Ye;Hidelita A. Santos

  • PREDICTION OF PROTEIN SIDE-CHAIN ROTAMERS FROM A BACKBONE-DEPENDENT ROTAMER LIBRARY : A NEW HOMOLOGY MODELING TOOL

    Michael J. Bower;Fred E. Cohen;Roland L. Dunbrack

  • Cyclic coordinate descent: A robotics algorithm for protein loop closure.

    Adrian A. Canutescu;Roland L. Dunbrack

  • Aurora A kinase (AURKA) in normal and pathological cell division.

    Anna S. Nikonova;Igor Astsaturov;Ilya G. Serebriiskii;Roland L. Dunbrack

  • Defects in DNA Repair Genes Predict Response to Neoadjuvant Cisplatin-based Chemotherapy in Muscle-invasive Bladder Cancer

    Elizabeth R. Plimack;Roland L. Dunbrack;Timothy A. Brennan;Mark D. Andrake

  • Conformational analysis of the backbone-dependent rotamer preferences of protein sidechains.

    Roland L. Dunbrack;Martin Karplus

  • A new clustering of antibody CDR loop conformations

    Benjamin North;Andreas Lehmann;Roland L. Dunbrack

  • PISCES: recent improvements to a PDB sequence culling server.

    Guoli Wang;Roland L. Dunbrack

  • Large-scale comparison of protein sequence alignment algorithms with structure alignments.

    J. Michael Sauder;Jonathan W. Arthur;Roland L. Dunbrack

Frequent Co-Authors

William R. Schief
William R. Schief Scripps Research Institute
Jeffrey J. Gray
Jeffrey J. Gray Johns Hopkins University
Brian Kuhlman
Brian Kuhlman University of North Carolina at Chapel Hill
Erica A. Golemis
Erica A. Golemis Fox Chase Cancer Center
Tanja Kortemme
Tanja Kortemme University of California, San Francisco
David Baker
David Baker University of Washington
Richard Bonneau
Richard Bonneau New York University
Jens Meiler
Jens Meiler Vanderbilt University
Rhiju Das
Rhiju Das Stanford University
David T. Jones
David T. Jones University College London

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