World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
87
Citations
33820
World Ranking
13501
National Ranking
6866

Genetics

D-Index
85
Citations
33394
World Ranking
1292
National Ranking
613

Daniel E. Weeks 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 Daniel E. Weeks 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: 330 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Daniel E. Weeks 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 Daniel E. Weeks 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: 85 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Daniel E. Weeks is affiliated with the University of Pittsburgh in the United States. Their research spans multiple areas within biochemistry, genetics, molecular biology, and medicine. Their work broadly addresses topics in genetics, molecular biology, physiology, pediatrics, perinatology, and obstetrics and gynecology.

Their research contributions include studies focused on genetic associations and epidemiology, epigenetics and DNA methylation, bioinformatics and genomic networks, birth, development, and health, genomics and rare diseases, pregnancy and preeclampsia, as well as adipose tissue and metabolism.

Frequent publication venues for their research include bioRxiv (Cold Spring Harbor Laboratory), UNC Libraries, Epigenetics Communications, Nature, and PLoS ONE.

Recent papers authored or co-authored by Daniel E. Weeks 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
  • Deep-learning-based prediction of late age-related macular degeneration progression, 2020, Nature Machine Intelligence
  • A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies, 2022, Nature Methods
  • Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of indeterminate potential, 2022, Science Advances

Daniel E. Weeks frequently collaborates with other researchers including Stephen T. McGarvey, Nicola L. Hawley, Ryan L. Minster, Muagututi'a Sefuiva Reupena, and Take Naseri.

Best Publications

  • PedCheck: A Program for Identification of Genotype Incompatibilities in Linkage Analysis

    Jeffrey R. O'Connell;Daniel E. Weeks;Daniel E. Weeks

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

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

  • Mapping autism risk loci using genetic linkage and chromosomal rearrangements

    Peter Szatmari;Andrew D. Paterson;Lonnie Zwaigenbaum;Wendy Roberts

  • A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants

    Lars G. Fritsche;Wilmar Igl;Jessica N.Cooke Bailey;Felix Grassmann

  • Localization of an ataxia-telangiectasia gene to chromosome 11q22–23

    Richard A. Gatti;Izzet Berkel;Elena Boder;Gary Braedt

  • Seven new loci associated with age-related macular degeneration

    Lars G. Fritsche;Lars G. Fritsche;Wei Chen;Wei Chen;Matthew Schu;Brian L. Yaspan

  • A full genome screen for autism with evidence for linkage to a region on chromosome 7q International Molecular Genetic Study of Autism Consortium

    Anthony Bailey;Amaia Hervas;Nicola Matthews;Sarah Palferman

  • Programs for pedigree analysis: Mendel, Fisher, and dGene

    Kenneth Lange;Daniel Weeks;Michael Boehnke;Jean. W. MacCluer

  • 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

  • SUSCEPTIBILITY GENES FOR AGE-RELATED MACULOPATHY (ARM) ON CHROMOSOME 10q26

    Michael B. Gorin;Daniel E. Weeks;Yvette P. Conley;Robert Ferrell

  • The affected-pedigree-member method of linkage analysis.

    D E Weeks;K Lange

  • The VITESSE algorithm for rapid exact multilocus linkage analysis via genotype set–recoding and fuzzy inheritance

    Jeffrey R. O'Connell;Daniel E. Weeks;Daniel E. Weeks

  • Genetic variants near TIMP3 and high-density lipoprotein–associated loci influence susceptibility to age-related macular degeneration

    Wei Chen;Dwight Stambolian;Albert O. Edwards;Kari E. Branham

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

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

  • Chromosome 18 DNA markers and manic-depressive illness: evidence for a susceptibility gene

    Wade H. Berrettini;Thomas N. Ferraro;Lynn R. Goldin;Daniel E. Weeks

  • A genomewide screen for autism: strong evidence for linkage to chromosomes 2q, 7q and 16p

    Le, Couteur, A;TP Kelly;T Berney;HR McConachie

  • A quantitative-trait locus on chromosome 6p influences different aspects of developmental dyslexia.

    Simon E. Fisher;Angela J. Marlow;Janine Lamb;Elena Maestrini

  • Whole-Genome Screening in Ankylosing Spondylitis: Evidence of Non-MHC Genetic-Susceptibility Loci

    S. H. Laval;A. Timms;S. Edwards;L. Bradbury

  • Similarity of DNA Fingerprints Due to Chance and Relatedness

    C.C. Li;D.E. Weeks;A. Chakravarti

  • Meta-analysis of genome scans of age-related macular degeneration

    Sheila A. Fisher;Goncalo R. Abecasis;Beverly M. Yashar;Sepideh Zareparsi

Frequent Co-Authors

Michael B. Gorin
Michael B. Gorin University of California, Los Angeles
Ranjan Deka
Ranjan Deka University of Cincinnati
Susan Redline
Susan Redline Brigham and Women's Hospital
Gonçalo R. Abecasis
Gonçalo R. Abecasis University of Michigan–Ann Arbor
Robert E. Ferrell
Robert E. Ferrell University of Pittsburgh
Eleanor Feingold
Eleanor Feingold University of Pittsburgh
Braxton D. Mitchell
Braxton D. Mitchell University of Maryland, Baltimore
Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston
L. Adrienne Cupples
L. Adrienne Cupples Boston University
Anand Swaroop
Anand Swaroop National Institutes of Health

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Combining a genetics background with skills from related health fields can greatly expand your career opportunities, whether in research, healthcare management, or public health.

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