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D-Index & Metrics

Biology and Biochemistry

D-Index
76
Citations
25899
World Ranking
4969
National Ranking
2387

Brian Kuhlman 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 Brian Kuhlman 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: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 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: 418 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: 197 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: 60 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: 235 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Brian Kuhlman 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 Brian Kuhlman sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 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: 72 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: 76 D-Index — 75th percentile

75% 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

  • 2004 - Fellow of Alfred P. Sloan Foundation

Overview

Brian Kuhlman is a researcher affiliated with the University of North Carolina at Chapel Hill in the United States. Their work spans the field of Biochemistry, Genetics and Molecular Biology, with a primary focus on Molecular Biology. Their research also extends into Materials Chemistry, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health, and Infectious Diseases.

Their scientific contributions cover several key topics, including:

  • Protein Structure and Dynamics
  • Enzyme Structure and Function
  • RNA and protein synthesis mechanisms
  • Monoclonal and Polyclonal Antibodies Research
  • Ubiquitin and proteasome pathways
  • Mosquito-borne diseases and control
  • Microbial Metabolic Engineering and Bioproduction

Kuhlman's publication record includes papers appearing in a variety of venues, notably:

  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Protein Science
  • Zenodo (CERN European Organization for Nuclear Research)

Selected recent papers include:

  • "Macromolecular modeling and design in Rosetta: recent methods and frameworks," 2020, Nature Methods
  • "Perturbing the energy landscape for improved packing during computational protein design," 2020, Proteins Structure Function and Bioinformatics
  • "Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules," 2020, UNC Libraries
  • "Transfer learning to leverage larger datasets for improved prediction of protein stability changes," 2024, Proceedings of the National Academy of Sciences
  • "Modifications to the Framework Regions Eliminate Chimeric Antigen Receptor Tonic Signaling," 2021, Cancer Immunology Research

Kuhlman has collaborated frequently with several researchers, including Andrew Leaver-Fay, Jeffrey J. Gray, Sergey Lyskov, Steven M. Lewis, and Tanja Kortemme. These collaborations have contributed to a cohesive body of work involving macromolecular design, protein modeling, and computational biology.

Over the course of their career, Kuhlman has been recognized as a Fellow of the Alfred P. Sloan Foundation in 2004. This award is noted among their professional distinctions.

Best Publications

  • Design of a Novel Globular Protein Fold with Atomic-Level Accuracy

    Brian A Kuhlman;Gautam Dantas;Gregory C. Ireton;Gabriele Varani

  • ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules.

    Andrew Leaver-Fay;Michael Tyka;Steven M. Lewis;Oliver F. Lange

  • Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations.

    Jeffrey J. Gray;Stewart Moughon;Chu Wang;Ora Schueler-Furman

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

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

  • A genetically encoded photoactivatable Rac controls the motility of living cells

    Yi I. Wu;Daniel Frey;Oana I. Lungu;Angelika Jaehrig

  • Native protein sequences are close to optimal for their structures

    Brian Kuhlman;David Baker

  • 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

  • Labelling and optical erasure of synaptic memory traces in the motor cortex

    Akiko Hayashi-Takagi;Sho Yagishita;Mayumi Nakamura;Fukutoshi Shirai

  • Advances in protein structure prediction and design

    Brian Kuhlman;Philip Bradley

  • Engineering an improved light-induced dimer (iLID) for controlling the localization and activity of signaling proteins

    Gurkan Guntas;Ryan A. Hallett;Seth P. Zimmerman;Tishan Williams

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

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

  • A large scale test of computational protein design: folding and stability of nine completely redesigned globular proteins.

    Gautam Dantas;Brian Kuhlman;David Callender;Michelle Wong

  • LOVTRAP: an optogenetic system for photoinduced protein dissociation

    Hui Wang;Marco Vilela;Andreas Winkler;Miroslaw Tarnawski

  • Computer-based redesign of a protein folding pathway

    Sehat Nauli;Brian Kuhlman;David Baker

  • Combined covalent-electrostatic model of hydrogen bonding improves structure prediction with Rosetta

    Matthew J. O’Meara;Andrew Leaver-Fay;Michael D. Tyka;Amelie Stein

  • Generation of bispecific IgG antibodies by structure-based design of an orthogonal Fab interface

    Steven M Lewis;Xiufeng Wu;Anna Pustilnik;Arlene Sereno

  • RosettaDesign server for protein design

    Yi Liu;Brian Kuhlman

  • Designing photoswitchable peptides using the AsLOV2 domain

    Oana I. Lungu;Ryan A. Hallett;Eun Jung Choi;Mary J. Aiken

  • Scientific Benchmarks for Guiding Macromolecular Energy Function Improvement

    Andrew P Leaver-Fay;Matthew J. O'Meara;Mike Tyka;Ron Jacak

  • Computational design of a single amino acid sequence that can switch between two distinct protein folds.

    Xavier I. Ambroggio;Brian A Kuhlman

Frequent Co-Authors

David Baker
David Baker University of Washington
Jeffrey J. Gray
Jeffrey J. Gray Johns Hopkins University
Richard Bonneau
Richard Bonneau New York University
Tanja Kortemme
Tanja Kortemme University of California, San Francisco
Klaus M. Hahn
Klaus M. Hahn University of North Carolina at Chapel Hill
Roland L. Dunbrack
Roland L. Dunbrack Fox Chase Cancer Center
Jens Meiler
Jens Meiler Vanderbilt University
William R. Schief
William R. Schief Scripps Research Institute
Thomas Szyperski
Thomas Szyperski University at Buffalo, State University of New York
Daniel P. Raleigh
Daniel P. Raleigh Stony Brook University

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