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Patricia C. Babbitt

D-Index & Metrics

Biology and Biochemistry

D-Index
71
Citations
19149
World Ranking
6600
National Ranking
3073

Patricia C. Babbitt 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 Patricia C. Babbitt 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: 192 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Patricia C. Babbitt 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 Patricia C. Babbitt 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: 71 D-Index — 67th percentile

67% 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

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2018 - Fellow of the International Society for Computational Biology

Overview

Patricia C. Babbitt is affiliated with the University of California, San Francisco in the United States. Their research primarily focuses on biochemistry, genetics, and molecular biology, with specific interests spanning molecular biology, immunology, organic chemistry, materials chemistry, and computational theory and mathematics.

The scientist's recent published work includes the following papers:

  • Parallel molecular mechanisms for enzyme temperature adaptation (2021), published in Science
  • A strategy for large-scale comparison of evolutionary- and reaction-based classifications of enzyme function (2020), published in Database
  • Structural Basis for the Asymmetry of a 4-Oxalocrotonate Tautomerase Trimer (2020), published in Biochemistry
  • Kinetic and Structural Analysis of Two Linkers in the Tautomerase Superfamily: Analysis and Implications (2021), published in Biochemistry

Babbitt's work extensively addresses topics such as protein structure and dynamics, macrophage migration inhibitory factor, enzyme structure and function, microbial metabolic engineering and bioproduction, computational drug discovery methods, and microbial natural products and biosynthesis, as well as carbohydrate chemistry and synthesis.

Frequent co-authors in their research include:

  • Shoshana Brown
  • Brenda P. Medellin
  • Emily B. Lancaster
  • Yan Zhang
  • Christian P. Whitman

Publication venues where Babbitt has contributed multiple works include Biochemistry, Science, and Database. The dominant fields of study are biochemistry, genetics, and molecular biology, reflecting the interdisciplinary nature of their research.

Among distinctions awarded, Babbitt was recognized as a Fellow of the American Association for the Advancement of Science (AAAS) in 2020 and a Fellow of the International Society for Computational Biology in 2018.

Best Publications

  • InterPro in 2017-beyond protein family and domain annotations

    Robert D. Finn;Teresa K. Attwood;Patricia C. Babbitt;Alex Bateman

  • InterPro in 2019: improving coverage, classification and access to protein sequence annotations.

    Alex L. Mitchell;Teresa K. Attwood;Patricia C. Babbitt;Matthias Blum

  • A large-scale evaluation of computational protein function prediction

    Predrag Radivojac;Wyatt T Clark;Tal Ronnen Oron;Alexandra M Schnoes

  • Annotation error in public databases: misannotation of molecular function in enzyme superfamilies.

    Alexandra M. Schnoes;Shoshana D. Brown;Igor Dodevski;Patricia C. Babbitt;Patricia C. Babbitt

  • Divergent Evolution of Enzymatic Function: Mechanistically Diverse Superfamilies and Functionally Distinct Suprafamilies

    John A. Gerlt;Patricia C. Babbitt

  • Using Sequence Similarity Networks for Visualization of Relationships Across Diverse Protein Superfamilies

    Holly J. Atkinson;John H. Morris;Thomas E. Ferrin;Patricia C. Babbitt

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

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

  • The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

    Naihui Zhou;Yuxiang Jiang;Timothy R. Bergquist;Alexandra J. Lee

  • The Enolase Superfamily: A General Strategy for Enzyme-Catalyzed Abstraction of the α-Protons of Carboxylic Acids†

    Patricia C. Babbitt;Miriam S. Hasson;Miriam S. Hasson;Joseph E. Wedekind;Joseph E. Wedekind;David R.J. Palmer

  • Understanding Enzyme Superfamilies CHEMISTRY AS THE FUNDAMENTAL DETERMINANT IN THE EVOLUTION OF NEW CATALYTIC ACTIVITIES

    Patricia C. Babbitt;John A. Gerlt

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

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

  • Evolution of enzyme superfamilies

    Margaret E Glasner;John A Gerlt;Patricia C Babbitt

  • Ancestry of the 4-chlorobenzoate dehalogenase: analysis of amino acid sequence identities among families of acyl:adenyl ligases, enoyl-CoA hydratases/isomerases, and acyl-CoA thioesterases.

    Patricia C. Babbitt;George L. Kenyon;Brian M. Martin;Hugues Charest

  • BayGenomics: a resource of insertional mutations in mouse embryonic stem cells

    Doug Stryke;Michiko Kawamoto;Conrad C. Huang;Susan J. Johns

  • The Structure–Function Linkage Database

    Eyal Akiva;Shoshana D. Brown;Daniel E. Almonacid;Alan E. Barber

  • Divergent evolution in the enolase superfamily: The interplay of mechanism and specificity

    John A. Gerlt;Patricia C. Babbitt;Ivan Rayment

  • Evolutionary Potential of (β/α)8-Barrels: Functional Promiscuity Produced by Single Substitutions in the Enolase Superfamily†

    Dawn M Z Schmidt;Emily C. Mundorff;Michael Dojka;Ericka Bermudez

  • Can sequence determine function

    John A Gerlt;Patricia C Babbitt

  • Leveraging enzyme structure-function relationships for functional inference and experimental design: the structure-function linkage database.

    Scott C.H. Pegg;Shoshana D. Brown;Sunil Ojha;Jennifer L Seffernick

  • Additional file 1 of An expanded evaluation of protein function prediction methods shows an improvement in accuracy

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

Frequent Co-Authors

John A. Gerlt
John A. Gerlt University of Illinois at Urbana-Champaign
Thomas E. Ferrin
Thomas E. Ferrin University of California, San Francisco
George L. Kenyon
George L. Kenyon University of California, San Francisco
Matthew P. Jacobson
Matthew P. Jacobson University of California, San Francisco
Steven C. Almo
Steven C. Almo Albert Einstein College of Medicine
Christophe Dessimoz
Christophe Dessimoz University College London
Sean D. Mooney
Sean D. Mooney University of Washington
Andrej Sali
Andrej Sali University of California, San Francisco
Julian Gough
Julian Gough University of Bristol
David T. Jones
David T. Jones University College London

External Links

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Best Scientists Citing Patricia C. Babbitt

Christine A. Orengo

Christine A. Orengo

University College London

Publications: 62

Janet M. Thornton

Janet M. Thornton

European Bioinformatics Institute

Publications: 61

Debra Dunaway-Mariano

Debra Dunaway-Mariano

University of New Mexico

Publications: 54

John A. Gerlt

John A. Gerlt

University of Illinois at Urbana-Champaign

Publications: 53

Frank M. Raushel

Frank M. Raushel

Texas A&M University

Publications: 42

Dan S. Tawfik

Dan S. Tawfik

Weizmann Institute of Science

Publications: 26

Silvio C. E. Tosatto

Silvio C. E. Tosatto

University of Padua

Publications: 25

Ian Sillitoe

Ian Sillitoe

University College London

Publications: 25

Karen N. Allen

Karen N. Allen

Boston University

Publications: 25

Huimin Zhao

Huimin Zhao

University of Illinois at Urbana-Champaign

Publications: 24

Andrej Sali

Andrej Sali

University of California, San Francisco

Publications: 24

David T. Jones

David T. Jones

University College London

Publications: 22

Burkhard Rost

Burkhard Rost

Technical University of Munich

Publications: 22

Predrag Radivojac

Predrag Radivojac

Northeastern University

Publications: 22

Matthew P. Jacobson

Matthew P. Jacobson

University of California, San Francisco

Publications: 21

Bernard Henrissat

Bernard Henrissat

Technical University of Denmark

Publications: 21

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