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D-Index & Metrics

Genetics

D-Index
68
Citations
15858
World Ranking
2436
National Ranking
1096

Janet S. Sinsheimer 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 Janet S. Sinsheimer 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: 269 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Janet S. Sinsheimer 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 Janet S. Sinsheimer 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: 68 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2013 - Fellow of the American Statistical Association (ASA)

Overview

Janet S. Sinsheimer is affiliated with the University of California, Los Angeles in the United States. Their research spans the fields of Biochemistry, Genetics and Molecular Biology as well as Medicine, with a focus on Genetics, Molecular Biology, Neurology, Epidemiology, and Physiology.

The scientist's work addresses main topics including Genetic Associations and Epidemiology, Parkinson's Disease Mechanisms and Treatments, Genetic and phenotypic traits in livestock, Genetic Mapping and Diversity in Plants and Animals, Epigenetics and DNA Methylation, Single-cell and spatial transcriptomics, and Liver Disease Diagnosis and Treatment.

Research by Janet S. Sinsheimer has been published frequently in venues such as bioRxiv (Cold Spring Harbor Laboratory), Genome Medicine, Movement Disorders, PLoS ONE, and Bioinformatics.

Recent papers include:

  • "Histone H3.3 beyond cancer: Germline mutations in Histone 3 Family 3A and 3B cause a previously unidentified neurodegenerative disorder in 46 patients" (2020), Science Advances
  • "Human liver single nucleus and single cell RNA sequencing identify a hepatocellular carcinoma-associated cell-type affecting survival" (2022), Genome Medicine
  • "Cross-tissue omics analysis discovers ten adipose genes encoding secreted proteins in obesity-related non-alcoholic fatty liver disease" (2023), EBioMedicine
  • "Untargeted serum metabolomics reveals novel metabolite associations and disruptions in amino acid and lipid metabolism in Parkinson's disease" (2023), Molecular Neurodegeneration
  • "Variant-specific changes in RAC3 function disrupt corticogenesis in neurodevelopmental phenotypes" (2022), Brain

Frequent co-authors working with Janet S. Sinsheimer include Kenneth Lange, Päivi Pajukanta, Hua Zhou, Cynthia Kusters, and Kimberly C. Paul.

In recognition of their contributions to the field, Janet S. Sinsheimer was named a Fellow of the American Statistical Association (ASA) in 2013.

Best Publications

  • Epigenetic Predictor of Age

    Sven Bocklandt;Wen Lin;Mary E. Sehl;Francisco J. Sánchez

  • Bayesian Selection of Continuous-Time Markov Chain Evolutionary Models

    Marc A. Suchard;Robert E. Weiss;Janet S. Sinsheimer

  • Prioritizing GWAS Results: A Review of Statistical Methods and Recommendations for Their Application

    Rita M. Cantor;Kenneth Lange;Janet S. Sinsheimer

  • Comparative Analysis of Proteome and Transcriptome Variation in Mouse

    Anatole Ghazalpour;Brian Bennett;Vladislav A. Petyuk;Luz Orozco

  • Normal/Independent Distributions and Their Applications in Robust Regression

    Kenneth Lange;Janet S. Sinsheimer

  • Familial combined hyperlipidemia is associated with upstream transcription factor 1 ( USF1 )

    Päivi Pajukanta;Heidi E Lilja;Janet S Sinsheimer;Rita M Cantor

  • Chromosome 1 loci in Finnish schizophrenia families

    Jesper Ekelund;Iiris Hovatta;Alex Parker;Tiina Paunio

  • A Genomewide Screen for Autism-Spectrum Disorders: Evidence for a Major Susceptibility Locus on Chromosome 3q25-27

    Mari Auranen;Raija Vanhala;Teppo Varilo;Kristin Ayers

  • Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts

    Laure Frésard;Craig Smail;Nicole M. Ferraro;Nicole A. Teran

  • Structural variants in genes associated with human Williams-Beuren syndrome underlie stereotypical hypersociability in domestic dogs

    Bridgett Marie vonHoldt;Emily Shuldiner;Emily Shuldiner;Ilana Janowitz Koch;Rebecca Y. Kartzinel

  • MARRVEL: Integration of Human and Model Organism Genetic Resources to Facilitate Functional Annotation of the Human Genome.

    Julia Wang;Rami Al-Ouran;Yanhui Hu;Seon-Young Kim

  • In vivo sequence diversity of the protease of human immunodeficiency virus type 1: presence of protease inhibitor-resistant variants in untreated subjects.

    Walter J. Lech;Greg Wang;Yan Li Yang;Ying Chee

  • GENETIC INFLUENCES IN END-STAGE OSTEOARTHRITIS: SIBLING RISKS OF HIP AND KNEE REPLACEMENT FOR IDIOPATHIC OSTEOARTHRITIS

    Jai Chitnavis;Janet S. Sinsheimer;Kim Clipsham;John Loughlin

  • Inflammatory cytokine gene polymorphisms and increased risk of Parkinson disease.

    Angelika D. Wahner;Janet S. Sinsheimer;Jeff. M. Bronstein;Beate Ritz

  • Association screening of common and rare genetic variants by penalized regression

    Hua Zhou;Mary E. Sehl;Janet S. Sinsheimer;Kenneth Lange

  • Osteoarthritis-Susceptibility Locus on Chromosome 11q, Detected by Linkage

    Kay Chapman;Zehra Mustafa;Zehra Mustafa;Catherine Irven;Andrew J. Carr

  • Diagnostic utility of transcriptome sequencing for rare Mendelian diseases

    Hane Lee;Alden Y. Huang;Lee-kai Wang;Amanda J. Yoon

  • Suggestive linkage of the parathyroid receptor type 1 to osteoporosis.

    E L Duncan;M A Brown;M A Brown;J Sinsheimer;J Bell

  • The Undiagnosed Diseases Network: Accelerating Discovery about Health and Disease

    Rachel B. Ramoni;Rachel B. Ramoni;John J. Mulvihill;David R. Adams;Patrick Allard

  • Hierarchical phylogenetic models for analyzing multipartite sequence data.

    Marc A Suchard;Christina M R Kitchen;Janet S Sinsheimer;Janet S Sinsheimer;Robert E Weiss

Frequent Co-Authors

Kenneth Lange
Kenneth Lange University of California, Los Angeles
Beate Ritz
Beate Ritz University of California, Los Angeles
Marc A. Suchard
Marc A. Suchard University of California, Los Angeles
Päivi Pajukanta
Päivi Pajukanta University of California, Los Angeles
Andrew Carr
Andrew Carr University of Oxford
Eric Vilain
Eric Vilain George Washington University
Ingrid A. Holm
Ingrid A. Holm Boston Children's Hospital
Hane Lee
Hane Lee University of California, Los Angeles
Michael F. Wangler
Michael F. Wangler Baylor College of Medicine
Jill A. Rosenfeld
Jill A. Rosenfeld Baylor College of Medicine

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