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Sean D. Mooney

D-Index & Metrics

Biology and Biochemistry

D-Index
57
Citations
33559
World Ranking
13504
National Ranking
5727

Sean D. Mooney 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 Sean D. Mooney 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: 182 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Sean D. Mooney 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 Sean D. Mooney 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: 57 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Overview

Sean D. Mooney is affiliated with the University of Washington in the United States. Their research spans the fields of Biochemistry, Genetics and Molecular Biology, and Medicine, with a substantial focus on Artificial Intelligence, Genetics, and Molecular Biology as subfields.

Their work covers a variety of topics within these fields, including:

  • Machine Learning in Healthcare
  • Genomics and Rare Diseases
  • Artificial Intelligence in Healthcare and Education
  • Artificial Intelligence in Healthcare
  • Biomedical Text Mining and Ontologies
  • Genetic Neurodegenerative Diseases
  • Cancer Genomics and Diagnostics

Sean D. Mooney has published in multiple journals, with frequent appearances in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • npj Digital Medicine
  • Journal of the American Medical Informatics Association
  • Faculty of 1000 Research Ltd

Collaborations are an important aspect of their work, with frequent co-authors including:

  • Vikas Pejaver
  • Justin Guinney
  • Noah Hammarlund
  • Timothy Bergquist
  • Kizito-Tshitoko Tshilenge

Some recent papers authored or co-authored by Sean D. Mooney are:

  • Inferring the molecular and phenotypic impact of amino acid variants with MutPred2, 2020, Nature Communications
  • Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria, 2022, The American Journal of Human Genetics
  • Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery, 2021, npj Digital Medicine
  • The role of exome sequencing in newborn screening for inborn errors of metabolism, 2020, Nature Medicine
  • Rationale and design of the Kidney Precision Medicine Project, 2021, Kidney International

Best Publications

  • Comprehensive molecular portraits of human breast tumours

    Daniel C. Koboldt;Robert S. Fulton;Michael D. McLellan;Heather Schmidt

  • A large-scale evaluation of computational protein function prediction

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

  • Automated inference of molecular mechanisms of disease from amino acid substitutions

    Biao Li;Vidhya G. Krishnan;Matthew E. Mort;Fuxiao Xin

  • Inferring the molecular and phenotypic impact of amino acid variants with MutPred2.

    Vikas Pejaver;Vikas Pejaver;Jorge Urresti;Jose Lugo-Martinez;Jose Lugo-Martinez;Kymberleigh A. Pagel;Kymberleigh A. Pagel

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

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

  • Label-free quantitative proteomics of the lysine acetylome in mitochondria identifies substrates of SIRT3 in metabolic pathways

    Matthew J. Rardin;John C. Newman;Jason M. Held;Michael P. Cusack

  • 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

  • Genetic correction of Huntington's disease phenotypes in induced pluripotent stem cells.

    Mahru C. An;Ningzhe Zhang;Gary Scott;Daniel Montoro

  • Splicing factor SFRS1 recognizes a functionally diverse landscape of RNA transcripts

    Jeremy R. Sanford;Xin Wang;Matthew Mort;Natalia VanDuyn

  • Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants

    Abhishek Pratap;Abhishek Pratap;Elias Chaibub Neto;Phil Snyder;Carl Stepnowsky

  • Late-life rapamycin treatment reverses age-related heart dysfunction

    James M. Flynn;Monique N. O'Leary;Christopher A. Zambataro;Emmeline C. Academia

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

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

  • Newborn Sequencing in Genomic Medicine and Public Health.

    Jonathan S. Berg;Pankaj B. Agrawal;Donald B. Bailey;Alan H. Beggs

  • A novel recessive mutation in fibroblast growth factor-23 causes familial tumoral calcinosis.

    Tobias Larsson;Xijie Yu;Siobhan I. Davis;Mohamad S. Draman

  • Bioinformatics approaches and resources for single nucleotide polymorphism functional analysis

    Sean D. Mooney

  • An integrated approach to inferring gene–disease associations in humans

    Predrag Radivojac;Kang Peng;Wyatt T. Clark;Brandon J. Peters

  • Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery.

    Diane M. Korngiebel;Sean D. Mooney

  • Proteomic analysis of age-dependent changes in protein solubility identifies genes that modulate lifespan.

    Pedro Reis-Rodrigues;Gregg Czerwieniec;Theodore W. Peters;Uday S. Evani

  • High-performance web services for querying gene and variant annotation

    Jiwen Xin;Adam Mark;Cyrus Afrasiabi;Ginger Tsueng

  • 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

Predrag Radivojac
Predrag Radivojac Northeastern University
Steven E. Brenner
Steven E. Brenner University of California, Berkeley
David Neil Cooper
David Neil Cooper Cardiff University
Matthew Mort
Matthew Mort Cardiff University
Rita Casadio
Rita Casadio University of Bologna
Teri E. Klein
Teri E. Klein Stanford University
Christophe Dessimoz
Christophe Dessimoz University College London
Patricia C. Babbitt
Patricia C. Babbitt University of California, San Francisco
David T. Jones
David T. Jones University College London
Olivier Lichtarge
Olivier Lichtarge Baylor College of Medicine

External Links

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Best Scientists Citing Sean D. Mooney

Charles M. Perou

Charles M. Perou

University of North Carolina at Chapel Hill

Publications: 110

Gordon B. Mills

Gordon B. Mills

Oregon Health & Science University

Publications: 92

Vessela N. Kristensen

Vessela N. Kristensen

Oslo University Hospital

Publications: 83

Jorge S. Reis-Filho

Jorge S. Reis-Filho

Memorial Sloan Kettering Cancer Center

Publications: 81

Carlos Caldas

Carlos Caldas

University of Cambridge

Publications: 70

Anne Lise Børresen-Dale

Anne Lise Børresen-Dale

Oslo University Hospital

Publications: 64

Peter A. Fasching

Peter A. Fasching

University of Erlangen-Nuremberg

Publications: 61

Sunil R. Lakhani

Sunil R. Lakhani

University of Queensland

Publications: 60

Carlos L. Arteaga

Carlos L. Arteaga

The University of Texas Southwestern Medical Center

Publications: 54

Matthew J. Ellis

Matthew J. Ellis

Baylor College of Medicine

Publications: 52

Charlotte K.Y. Ng

Charlotte K.Y. Ng

Humanitas University

Publications: 51

Joel S. Parker

Joel S. Parker

University of North Carolina at Chapel Hill

Publications: 45

Emad A. Rakha

Emad A. Rakha

University of Nottingham

Publications: 45

Hiltrud Brauch

Hiltrud Brauch

German Cancer Research Center

Publications: 45

Graham G. Giles

Graham G. Giles

University of Melbourne

Publications: 45

Roger L. Milne

Roger L. Milne

Cancer Council Victoria

Publications: 43

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