World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
117
Citations
57301
World Ranking
424
National Ranking
221

Medicine

D-Index
118
Citations
58105
World Ranking
4028
National Ranking
2205

Alexander P. Reiner publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Alexander P. Reiner sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 455 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Alexander P. Reiner D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Alexander P. Reiner sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 117 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Overview

Alexander P. Reiner is affiliated with the University of Washington in the United States. Their research spans primarily the fields of Biochemistry, Genetics and Molecular Biology, and Medicine, with a significant focus on several subfields including Genetics, Molecular Biology, Hematology, Cardiology and Cardiovascular Medicine, and Epidemiology.

The scientist's recent scholarly output includes papers addressing complex genomic and biomolecular topics. Notable publications include:

  • Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data, 2022, Nature Genetics
  • Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging, 2021, Genome Biology
  • DNA methylation GrimAge version 2, 2022, Aging
  • Association of Clonal Hematopoiesis With Incident Heart Failure, 2021, Journal of the American College of Cardiology
  • Comparison of Proteomic Assessment Methods in Multiple Cohort Studies, 2020, PROTEOMICS

The research topics covered by Alexander P. Reiner reflect a strong expertise in genetic epidemiology and molecular biology aspects related to aging, cardiovascular disease, and proteomics. Key topics include:

  • Genetic Associations and Epidemiology
  • Epigenetics and DNA Methylation
  • Genomics and Rare Diseases
  • Acute Myeloid Leukemia Research
  • Hemoglobinopathies and Related Disorders
  • Cancer Genomics and Diagnostics
  • Bioinformatics and Genomic Networks

Their frequent collaborators highlight established scientific partnerships across multiple studies, with coauthors such as Laura M. Raffield, Jerome I. Rotter, Charles Kooperberg, Stephen S. Rich, and Bruce M. Psaty, with collaboration counts ranging from 48 to 85 publications each.

Alexander's work appears regularly in specific journals and publication venues, including:

  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Circulation
  • Nature Communications
  • Journal of the American Heart Association

This profile reflects Alexander P. Reiner's active engagement in interdisciplinary biomedical research, focusing on leveraging genetic and molecular data to understand complex health conditions and biological mechanisms.

Best Publications

  • An epigenetic biomarker of aging for lifespan and healthspan

    Morgan E. Levine;Ake T. Lu;Austin Quach;Brian H. Chen

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

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

  • Effect of VKORC1 haplotypes on transcriptional regulation and warfarin dose.

    Mark J. Rieder;Alexander P. Reiner;Brian F. Gage;Deborah A. Nickerson

  • DNA methylation GrimAge strongly predicts lifespan and healthspan.

    Ake T. Lu;Austin Quach;James G. Wilson;Alex P. Reiner

  • DNA methylation-based measures of biological age: meta-analysis predicting time to death

    Brian H. Chen;Riccardo E. Marioni;Riccardo E. Marioni;Elena Colicino;Marjolein J. Peters

  • The interleukin-6 receptor as a target for prevention of coronary heart disease: a mendelian randomisation analysis.

    D I Swerdlow;M V Holmes;K B Kuchenbaecker

  • Genetic analyses of diverse populations improves discovery for complex traits

    Genevieve L. Wojcik;Mariaelisa Graff;Katherine K. Nishimura;Ran Tao

  • Loss-of-function mutations in APOC3, triglycerides, and coronary disease

    Jacy Crosby;Gina M. Peloso;Gina M. Peloso;Paul L. Auer;David R. Crosslin

  • Association between alcohol and cardiovascular disease:Mendelian randomisation analysis based on individual participant data

    Michael V Holmes;Michael V Holmes;Caroline E Dale;Luisa Zuccolo;Richard J Silverwood

  • HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials.

    Daniel I Swerdlow;David Preiss;Karoline B Kuchenbaecker;Michael Holmes

  • An epigenetic clock analysis of race/ethnicity, sex, and coronary heart disease

    Steve Horvath;Michael Gurven;Morgan E. Levine;Benjamin C. Trumble

  • Mendelian randomization of blood lipids for coronary heart disease

    Michael V. Holmes;Folkert W. Asselbergs;Tom M. Palmer;Fotios Drenos

  • Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction

    Ron Do;Ron Do;Nathan O. Stitziel;Hong Hee Won;Hong Hee Won;Anders Berg Jørgensen

  • Association between C reactive protein and coronary heart disease: mendelian randomisation analysis based on individual participant data

    G. Eiriksdottir;T. B. Harris;L. J. Launer;V. Gudnason

  • 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

  • The polygenic and monogenic basis of blood traits and diseases

    Dragana Vuckovic;Erik L. Bao;Parsa Akbari;Caleb A. Lareau

  • Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies.

    Matthew Traylor;Martin Farrall;Elizabeth G Holliday;Cathie Sudlow

  • Inactivating mutations in NPC1L1 and protection from coronary heart disease

    Nathan O. Stitziel;Hong Hee Won;Alanna C. Morrison;Gina M. Peloso

  • Epigenetic clock for skin and blood cells applied to Hutchinson Gilford Progeria Syndrome and ex vivo studies

    Steve Horvath;Junko Oshima;Junko Oshima;George M. Martin;Ake T. Lu

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

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

Frequent Co-Authors

Bruce M. Psaty
Bruce M. Psaty University of Washington
Leslie A. Lange
Leslie A. Lange University of Colorado Anschutz Medical Campus
Charles Kooperberg
Charles Kooperberg Fred Hutchinson Cancer Research Center
Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston
Jerome I. Rotter
Jerome I. Rotter UCLA Medical Center
James G. Wilson
James G. Wilson University of Mississippi Medical Center
Myriam Fornage
Myriam Fornage The University of Texas Health Science Center at Houston
Paul L. Auer
Paul L. Auer Medical College of Wisconsin
Ruth J. F. Loos
Ruth J. F. Loos University of Copenhagen
Kent D. Taylor
Kent D. Taylor David Geffen School of Medicine at UCLA

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