World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
61
Citations
12906
World Ranking
11376
National Ranking
4919

Patricia A. Peyser 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 A. Peyser 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: 413 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 848 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 949 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 840 scientists 207–216 publications: 733 scientists 217–226 publications: 708 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: 417 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: 196 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: 59 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: 200 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Patricia A. Peyser 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 A. Peyser sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 316 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 899 scientists 52–53 D-Index: 1,025 scientists 54–55 D-Index: 1,149 scientists 56–57 D-Index: 1,235 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,162 scientists 62–63 D-Index: 1,130 scientists 64–65 D-Index: 1,031 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 714 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: 71 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: 61 D-Index — 44th percentile

44% 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

  • 2014 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Patricia A. Peyser is affiliated with the University of Michigan-Ann Arbor in the United States. Their research focuses primarily on genetics and molecular biology within a medical context, contributing extensively to these fields with over 160 publications.

The scientist's main fields of study include Biochemistry, Genetics and Molecular Biology, and Medicine. More specialized subfields of study encompass Genetics, Molecular Biology, Cancer Research, Hematology, and Immunology. Their work covers a variety of scientific topics such as Genetic Associations and Epidemiology, Epigenetics and DNA Methylation, Genomics and Rare Diseases, RNA modifications and cancer, Cancer Genomics and Diagnostics, Bioinformatics and Genomic Networks, and Acute Myeloid Leukemia Research.

Patricia A. Peyser has contributed to numerous research articles published in various academic venues. The most frequent publication venues are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • UNC Libraries
  • Nature Communications
  • Nature Genetics
  • Nature

Recent notable papers include:

  • Inherited causes of clonal haematopoiesis in 97,691 whole genomes (2020, Nature)
  • Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale (2020, Nature Genetics)
  • Genome-wide association meta-analysis identifies 17 loci associated with nonalcoholic fatty liver disease (2023, Nature Genetics)
  • Multi-ancestry genome-wide study identifies effector genes and druggable pathways for coronary artery calcification (2023, Nature Genetics)
  • Genome-wide association study of serum liver enzymes implicates diverse metabolic and liver pathology (2021, Nature Communications)

The scientist collaborates frequently with several peers, including:

  • Jennifer A. Smith
  • Lawrence F. Bielak
  • Laura M. Raffield
  • Jerome I. Rotter
  • Bruce M. Psaty

Among the recognitions received, Patricia A. Peyser was named Fellow of the American Association for the Advancement of Science (AAAS) in 2014.

Best Publications

  • Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.

    Daniel Taliun;Daniel N. Harris;Michael D. Kessler;Jedidiah Carlson;Jedidiah Carlson

  • Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.

    Anubha Mahajan;Daniel Taliun;Matthias Thurner;Neil R. Robertson

  • Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

    Mary F. Feitosa;Aldi T. Kraja;Daniel I. Chasman;Yun J. Sung

  • GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment

    Cornelius A. Rietveld;Sarah E. Medland;Jaime Lane Derringer;Jian Yang

  • A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.

    Alisa K. Manning;Alisa K. Manning;Alisa K. Manning;Robert A. Scott;Jonna L. Grimsby

  • Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

    Robert A Scott;Vasiliki Lagou;Ryan P Welch;Eleanor Wheeler

  • The trans-ancestral genomic architecture of glycemic traits

    Ji Chen;Ji Chen;Cassandra N. Spracklen;Cassandra N. Spracklen;Gaëlle Marenne;Gaëlle Marenne;Arushi Varshney

  • A null mutation in human APOC3 confers a favorable plasma lipid profile and apparent cardioprotection

    Toni I. Pollin;Coleen M. Damcott;Haiqing Shen;Sandra H. Ott

  • Inherited causes of clonal haematopoiesis in 97,691 whole genomes.

    Alexander G Bick;Joshua S Weinstock;Satish K Nandakumar;Satish K Nandakumar;Charles P Fulco;Charles P Fulco

  • Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

    Daniel Taliun;Daniel N. Harris;Michael D. Kessler;Jedidiah Carlson;Jedidiah Carlson

  • Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

    Valérie Turcot;Yingchang Lu;Yingchang Lu;Heather M Highland;Heather M Highland;Claudia Schurmann

  • Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

    Anubha Mahajan;Jennifer Wessel;Sara M. Willems;Wei Zhao

  • Genome-wide analysis identifies 12 loci influencing human reproductive behavior

    Nicola Barban;Rick Jansen;Ronald De Vlaming;Ahmad Vaez;Ahmad Vaez

  • Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations

    Madeline H Kowalski;Huijun Qian;Ziyi Hou;Jonathan D Rosen

  • Genome-wide physical activity interactions in adiposity. A meta-analysis of 200,452 adults

    Mariaelisa Graff;Robert A. Scott;Anne E. Justice;Kristin L. Young

  • Genome-Wide Association Study for Coronary Artery Calcification With Follow-Up in Myocardial Infarction

    Christopher J. Odonnell;Christopher J. Odonnell;Maryam Kavousi;Albert V. Smith;Sharon L.R. Kardia;Sharon L.R. Kardia

  • A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry.

    Keri L. Monda;Keri L. Monda;Gary K. Chen;Kira C. Taylor;Kira C. Taylor;Cameron Palmer;Cameron Palmer

  • Associations of serum uric acid with markers of inflammation, metabolic syndrome, and subclinical coronary atherosclerosis.

    Thais de A. Coutinho;Stephen T. Turner;Patricia A. Peyser;Lawrence F. Bielak

  • Kidney Stones Associate with Increased Risk for Myocardial Infarction

    Andrew D. Rule;Veronique L. Roger;L. Joseph Melton;Eric J. Bergstralh

  • Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

    Mahajan A;Spracklen Cn;Zhang W;Ng Mc

Frequent Co-Authors

Lawrence F. Bielak
Lawrence F. Bielak University of Michigan–Ann Arbor
Sharon L.R. Kardia
Sharon L.R. Kardia University of Michigan–Ann Arbor
Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston
Xiuqing Guo
Xiuqing Guo Lundquist Institute
Bruce M. Psaty
Bruce M. Psaty University of Washington
Jerome I. Rotter
Jerome I. Rotter UCLA Medical Center
Albert V. Smith
Albert V. Smith University of Michigan–Ann Arbor
Kent D. Taylor
Kent D. Taylor David Geffen School of Medicine at UCLA
Daniel I. Chasman
Daniel I. Chasman Brigham and Women's Hospital
Braxton D. Mitchell
Braxton D. Mitchell University of Maryland, Baltimore

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