World's Best Scientists 2026 revealed!
David Karasik

David Karasik

D-Index & Metrics

Genetics

D-Index
67
Citations
21047
World Ranking
2508
National Ranking
19

David Karasik 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 David Karasik 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: 231 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

David Karasik 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 David Karasik 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: 67 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

David Karasik is affiliated with Bar-Ilan University in Israel and has a substantial research footprint in the fields of Biochemistry, Genetics and Molecular Biology, as well as Medicine. Their work spans a variety of subfields including Molecular Biology, Genetics, Cancer Research, Orthopedics and Sports Medicine, and Surgery.

The scientist has contributed notably to topics such as Genetic Associations and Epidemiology, Muscle Physiology and Disorders, Bone health and osteoporosis research, Bone Metabolism and Diseases, MicroRNA in disease regulation, RNA Research and Splicing, and Zebrafish Biomedical Research Applications.

Karasik has published research in several prominent venues. Frequent publication outlets include Bone Reports, bioRxiv (Cold Spring Harbor Laboratory), UNC Libraries, Frontiers in Endocrinology, and Journal of Bone and Mineral Research.

Their recent papers include the following:

  • Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women, 2021, Nature Communications
  • Zebrafish models of sarcopenia, 2020, Disease Models & Mechanisms
  • A regulatory variant at 3q21.1 confers an increased pleiotropic risk for hyperglycemia and altered bone mineral density, 2021, Cell Metabolism
  • Alzheimer's disease as a chronic maladaptive polyamine stress response, 2021, Aging
  • mRNA-lncRNA Co-Expression Network Analysis Reveals the Role of lncRNAs in Immune Dysfunction during Severe SARS-CoV-2 Infection, 2021, Viruses

Frequent co-authors collaborating with Karasik include:

  • Douglas P. Kiel
  • Fernando Rivadeneira
  • Hou-Feng Zheng
  • Cheng-Da Yuan
  • Kathryn L. Lunetta

Best Publications

  • Common genetic determinants of vitamin D insufficiency: a genome-wide association study

    Thomas J. Wang;Feng Zhang;J. Brent Richards;Bryan Kestenbaum

  • Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture

    Karol Estrada;Unnur Styrkarsdottir;Evangelos Evangelou;Yi-Hsiang Hsu

  • Twenty bone mineral-density loci identified by large-scale meta-analysis of genome-wide association studies

    Fernando Rivadeneira;Unnur Styrkarsdottir;Karol Estrada;Bjarni V. Halldorsson

  • An atlas of genetic influences on osteoporosis in humans and mice

    John A Morris;John P Kemp;John P Kemp;Scott E Youlten;Laetitia Laurent

  • Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche

    John R.B. Perry;Felix Day;Cathy E. Elks;Patrick Sulem

  • Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

    Felix R. Day;Deborah J. Thompson;Hannes Helgason;Hannes Helgason;Daniel I. Chasman

  • Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies

    Cathy E. Elks;John R B Perry;Patrick Sulem;Daniel I. Chasman

  • Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture.

    Hou Feng Zheng;Vincenzo Forgetta;Yi Hsiang Hsu;Yi Hsiang Hsu;Karol Estrada

  • Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair

    Felix R. Day;Katherine S. Ruth;Deborah J Thompson;Kathryn L. Lunetta

  • Meta-analyses identify 13 loci associated with age at menopause and highlight DNA repair and immune pathways

    Lisette Stolk;John R B Perry;John R B Perry;Daniel I. Chasman;Chunyan He

  • Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile.

    Tuomas O Kilpeläinen;M Carola Zillikens;Alena Stančákova;Francis M Finucane

  • Genome-wide Association Study in 79,366 European-ancestry Individuals Informs the Genetic Architecture of 25-Hydroxyvitamin D Levels

    Xia Jiang;Xia Jiang;Paul F. O'Reilly;Hugues Aschard;Hugues Aschard;Yi Hsiang Hsu;Yi Hsiang Hsu

  • Meta-analysis of genome-wide association data identifies two loci influencing age at menarche.

    John R B Perry;Lisette Stolk;Nora Franceschini;Kathryn L Lunetta;Kathryn L Lunetta

  • Collaborative Meta-analysis: Associations of 150 Candidate Genes With Osteoporosis and Osteoporotic Fracture

    J. Brent Richards;Fotini K. Kavvoura;Fernando Rivadeneira;Unnur Styrkársdóttir

  • Large-Scale Analysis of Association Between LRP5 and LRP6 Variants and Osteoporosis

    Joyce B J. van Meurs;Thomas A. Trikalinos;Thomas A. Trikalinos;Stuart H. Ralston;Susana Balcells

  • Genome-wide association with bone mass and geometry in the Framingham Heart Study

    Douglas P Kiel;Serkalem Demissie;Josée Dupuis;Kathryn L Lunetta

  • Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects

    Carolina Medina-Gomez;John P. Kemp;John P. Kemp;Katerina Trajanoska;Jian'an Luan

  • Large-Scale Genomic Analyses Link Reproductive Aging to Hypothalamic Signaling, Breast Cancer Susceptibility, and BRCA1-Mediated DNA Repair EDITORIAL COMMENT

    Felix R. Day;Katherine S. Ruth;Deborah J. Thompson;Kathryn L. Lunetta;Kathryn L. Lunetta

  • Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

    Day Fr;Thompson Dj;elgason H;Chasman Di

  • Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile

    Tuomas O. Kilpelainen;M. Carola Zillikens;Alena Stancakova;Francis M. Finucane

Frequent Co-Authors

Douglas P. Kiel
Douglas P. Kiel Beth Israel Deaconess Medical Center
Yi-Hsiang Hsu
Yi-Hsiang Hsu Harvard University
André G. Uitterlinden
André G. Uitterlinden Erasmus University Rotterdam
Fernando Rivadeneira
Fernando Rivadeneira Erasmus University Rotterdam
Joanne M. Murabito
Joanne M. Murabito Boston University
Tim D. Spector
Tim D. Spector King's College London
Kari Stefansson
Kari Stefansson deCODE Genetics (Iceland)
Claes Ohlsson
Claes Ohlsson University of Gothenburg
Albert Hofman
Albert Hofman Harvard University
Tamara B. Harris
Tamara B. Harris National Institutes of Health

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