World's Best Scientists 2026 revealed!
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Tanja Kortemme

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Molecular Biology 71 1345 1198 681 593 142 29268

Tanja Kortemme publications per year

The chart shows the history of publications by Tanja Kortemme between 1993 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tanja Kortemme published across 33 years, from 1993 to 2025, averaging 5.5 papers a year. Output peaked at 27 publications in 2020. 13 of the 182 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1993 to 2025. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 2020. 1993: 1 publication 1994: 1 publication 1995: 1 publication 1996: 2 publications 1997: 0 publications 1998: 2 publications 1999: 2 publications 2000: 1 publication 2001: 2 publications 2002: 3 publications 2003: 8 publications 2004: 7 publications 2005: 3 publications 2006: 8 publications 2007: 3 publications 2008: 6 publications 2009: 11 publications 2010: 4 publications 2011: 6 publications 2012: 6 publications 2013: 10 publications 2014: 3 publications 2015: 4 publications 2016: 4 publications 2017: 7 publications 2018: 4 publications 2019: 6 publications 2020: 27 publications 2021: 11 publications 2022: 6 publications 2023: 10 publications 2024: 5 publications 2025: 8 publications
1993 2025

182 publications in total across all disciplines

View publications per year as a table
Tanja Kortemme: publications per year, 1993 to 2025
Year Publications
1993 1
1994 1
1995 1
1996 2
1997 0
1998 2
1999 2
2000 1
2001 2
2002 3
2003 8
2004 7
2005 3
2006 8
2007 3
2008 6
2009 11
2010 4
2011 6
2012 6
2013 10
2014 3
2015 4
2016 4
2017 7
2018 4
2019 6
2020 27
2021 11
2022 6
2023 10
2024 5
2025 8
Total 182
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Tanja Kortemme 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 Tanja Kortemme sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 53 bars. Horizontal axis: publications, 47–56 to 564+. Vertical axis: number of scientists, 0 to 177. Most scientists, 177, have 117–126 publications. The last bar groups every scientist with 564 publications or more. The highlighted bar, 137–146 publications, is where this scientist sits. 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
47–56 publications 564+

This scientist: 142 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Molecular Biology scientists by publication count, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
Publications Scientists This scientist
47–56 7
57–66 17
67–76 65
77–86 90
87–96 125
97–106 131
107–116 162
117–126 177
127–136 158
137–146 158 142
147–156 146
157–166 159
167–176 131
177–186 110
187–196 112
197–206 100
207–216 89
217–226 98
227–236 74
237–246 72
247–256 63
257–266 53
267–276 54
277–286 49
287–296 52
297–306 43
307–316 46
317–326 41
327–336 42
337–346 31
347–356 28
357–366 29
367–376 26
377–386 24
387–396 24
397–406 14
407–416 13
417–426 20
427–436 12
437–446 20
447–456 11
457–466 10
467–476 14
477–486 14
487–496 10
497–506 13
507–516 13
517–526 2
527–536 4
537–546 6
547–556 8
557–563 6
564+ 100
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Tanja Kortemme 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 Tanja Kortemme sits on this spectrum.

No. of scientists
25 50 75 100 125
Bar chart with 54 bars. Horizontal axis: D-Index, 40–41 to 145+. Vertical axis: number of scientists, 0 to 131. Most scientists, 131, have 64–65 D-Index. The last bar groups every scientist with 145 D-Index or more. The highlighted bar, 70–71 D-Index, is where this scientist sits. 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
40–41 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.

View D-Index distribution as a table
Number of Molecular Biology scientists by D-index, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
D-Index Scientists This scientist
40–41 36
42–43 101
44–45 115
46–47 121
48–49 118
50–51 130
52–53 106
54–55 116
56–57 113
58–59 129
60–61 120
62–63 105
64–65 131
66–67 95
68–69 97
70–71 106 71
72–73 83
74–75 89
76–77 77
78–79 70
80–81 73
82–83 60
84–85 48
86–87 45
88–89 50
90–91 31
92–93 51
94–95 43
96–97 38
98–99 39
100–101 41
102–103 29
104–105 33
106–107 35
108–109 20
110–111 38
112–113 19
114–115 28
116–117 13
118–119 23
120–121 16
122–123 15
124–125 11
126–127 21
128–129 7
130–131 13
132–133 14
134–135 17
136–137 9
138–139 8
140–141 16
142–143 7
144 7
145+ 100
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Research.com Recognitions

  • 2019 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2005 - Fellow of Alfred P. Sloan Foundation

Overview

Tanja Kortemme is affiliated with the University of California, San Francisco in the United States. Their research primarily focuses on the fields of Biochemistry, Genetics, and Molecular Biology, with significant contributions in Molecular Biology and Materials Chemistry. Their work covers various subfields including Spectroscopy, Computational Theory and Mathematics, and Infectious Diseases.

Their scholarly output includes frequent publications in venues such as bioRxiv (Cold Spring Harbor Laboratory), OPAL (Open@LaTrobe) (La Trobe University), UNC Libraries, PLoS Computational Biology, and Proceedings of the National Academy of Sciences. These platforms host multiple studies contributing to the academic community's understanding of molecular and computational biology.

Kortemme's research engages with main topics including Protein Structure and Dynamics, RNA and protein synthesis mechanisms, Enzyme Structure and Function, Computational Drug Discovery Methods, SARS-CoV-2 and COVID-19 Research, Mass Spectrometry Techniques and Applications, and Receptor Mechanisms and Signaling.

Among their recent papers are:

  • The Global Phosphorylation Landscape of SARS-CoV-2 Infection, 2020, Cell
  • Macromolecular modeling and design in Rosetta: recent methods and frameworks, 2020, Nature Methods
  • A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Engineered ACE2 receptor traps potently neutralize SARS-CoV-2, 2020, Proceedings of the National Academy of Sciences
  • Recent advances in de novo protein design: Principles, methods, and applications, 2021, Journal of Biological Chemistry

Frequently collaborating researchers include Jeffrey J. Gray, Brian Kuhlman, Andrew Leaver-Fay, Sergey Lyskov, and Jason W. Labonte. These partnerships have contributed to a body of work involving protein modeling, molecular dynamics, and computational design.

Kortemme has been recognized with awards such as:

  • Fellow of the Indian National Academy of Engineering (INAE), 2019
  • Fellow of Alfred P. Sloan Foundation, 2005

Best Publications

  • A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.

    David E. Gordon;Gwendolyn M. Jang;Mehdi Bouhaddou;Jiewei Xu

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

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

  • 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 Global Phosphorylation Landscape of SARS-CoV-2 Infection.

    Mehdi Bouhaddou;Danish Memon;Bjoern Meyer;Kris M. White

  • A simple physical model for binding energy hot spots in protein-protein complexes.

    Tanja Kortemme;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

  • Helix propensities of the amino acids measured in alanine-based peptides without helix-stabilizing side-chain interactions.

    Avijit Chakrabartty;Tanja Kortemme;Robert L. Baldwin

  • Global landscape of HIV-human protein complexes

    Stefanie Jäger;Peter Cimermancic;Peter Cimermancic;Natali Gulbahce;Natali Gulbahce;Jeffrey R. Johnson;Jeffrey R. Johnson;Jeffrey R. Johnson

  • Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms.

    David E. Gordon;Joseph Hiatt;Mehdi Bouhaddou;Veronica V. Rezelj

  • Computational alanine scanning of protein-protein interfaces.

    Tanja Kortemme;David E. Kim;David Baker

  • An orientation-dependent hydrogen bonding potential improves prediction of specificity and structure for proteins and protein-protein complexes.

    Tanja Kortemme;Alexandre V. Morozov;David Baker

  • Ca2+ indicators based on computationally redesigned calmodulin-peptide pairs.

    Amy E. Palmer;Marta Giacomello;Tanja Kortemme;S. Andrew Hires

  • Ionization−Reactivity Relationships for Cysteine Thiols in Polypeptides†

    Grzegorz Bulaj;Tanja Kortemme;David P. Goldenberg

  • Sub-angstrom accuracy in protein loop reconstruction by robotics-inspired conformational sampling

    Daniel J Mandell;Evangelos A Coutsias;Tanja Kortemme;Tanja Kortemme

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

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

  • Design of a 20-Amino Acid, Three-Stranded β-Sheet Protein

    Tanja Kortemme;Marina Ramı́rez-Alvarado;Luis Serrano

  • Aromatic side-chain contribution to far-ultraviolet circular dichroism of helical peptides and its effect on measurement of helix propensities.

    Avijit Chakrabartty;Tanja Kortemme;S. Padmanabhan;Robert L. Baldwin

  • Ionisation of cysteine residues at the termini of model alpha-helical peptides. Relevance to unusual thiol pKa values in proteins of the thioredoxin family.

    Tanja Kortemme;Thomas E. Creighton

  • Computational redesign of protein-protein interaction specificity.

    Tanja Kortemme;Lukasz A Joachimiak;Lukasz A Joachimiak;Alex N Bullock;Alex N Bullock;Aaron D Schuler

  • Backrub-like backbone simulation recapitulates natural protein conformational variability and improves mutant side-chain prediction.

    Colin A. Smith;Tanja Kortemme;Tanja Kortemme

Frequent Co-Authors

David Baker
David Baker University of Washington
Brian Kuhlman
Brian Kuhlman University of North Carolina at Chapel Hill
Jeffrey J. Gray
Jeffrey J. Gray Johns Hopkins University
Richard Bonneau
Richard Bonneau New York University
Jens Meiler
Jens Meiler Vanderbilt University
Roland L. Dunbrack
Roland L. Dunbrack Fox Chase Cancer Center
William R. Schief
William R. Schief Scripps Research Institute
Rhiju Das
Rhiju Das Stanford University
John Kuriyan
John Kuriyan Vanderbilt University
Nevan J. Krogan
Nevan J. Krogan University of California, San Francisco

External Links

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Best Scientists Citing Tanja Kortemme

David Baker

David Baker

University of Washington

Publications: 221

Jens Meiler

Jens Meiler

Vanderbilt University

Publications: 118

Nevan J. Krogan

Nevan J. Krogan

University of California, San Francisco

Publications: 116

Jeffrey J. Gray

Jeffrey J. Gray

Johns Hopkins University

Publications: 89

Brian Kuhlman

Brian Kuhlman

University of North Carolina at Chapel Hill

Publications: 71

Luis Serrano

Luis Serrano

Centre for Genomic Regulation

Publications: 54

Richard Bonneau

Richard Bonneau

New York University

Publications: 47

Torsten Schwede

Torsten Schwede

University of Basel

Publications: 40

Frank DiMaio

Frank DiMaio

University of Washington

Publications: 38

Jeffrey R. Johnson

Jeffrey R. Johnson

Icahn School of Medicine at Mount Sinai

Publications: 38

Ruth Nussinov

Ruth Nussinov

National Institutes of Health

Publications: 36

Tullio Pozzan

Tullio Pozzan

University of Padua

Publications: 36

Claus O. Wilke

Claus O. Wilke

The University of Texas at Austin

Publications: 34

Andrej Sali

Andrej Sali

University of California, San Francisco

Publications: 34

Barry L. Stoddard

Barry L. Stoddard

Fred Hutchinson Cancer Research Center

Publications: 34

Brian G. Pierce

Brian G. Pierce

University of Maryland, College Park

Publications: 33

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