World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
60
Citations
18538
World Ranking
3126
National Ranking
1367

Robert D. Schnabel 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 Robert D. Schnabel 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: 162 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Robert D. Schnabel 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 Robert D. Schnabel 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: 60 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Overview

Robert D. Schnabel is affiliated with the University of Missouri in the United States. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology, with a focus on Genetics, Molecular Biology, Cancer Research, Animal Science and Zoology, and Plant Science.

The scientist's work addresses multiple topics, including:

  • Genetic and phenotypic traits in livestock
  • Genetic Mapping and Diversity in Plants and Animals
  • Genomics and Phylogenetic Studies
  • Cancer-related molecular mechanisms research
  • Genetic diversity and population structure
  • Effects of Environmental Stressors on Livestock
  • Animal Genetics and Reproduction

Among their recent publications are:

  • De novo assembly of the cattle reference genome with single-molecule sequencing, 2020, GigaScience
  • Powerful detection of polygenic selection and evidence of environmental adaptation in US beef cattle, 2021, PLoS Genetics
  • The SWine IMputation (SWIM) haplotype reference panel enables nucleotide resolution genetic mapping in pigs, 2023, Communications Biology
  • The Bovine Pangenome Consortium: democratizing production and accessibility of genome assemblies for global cattle breeds and other bovine species, 2023, Genome biology
  • Genome-wide association and genotype by environment interactions for growth traits in U.S. Red Angus cattle, 2022, BMC Genomics

Schnabel frequently collaborates with other researchers. Their notable coauthors include Jared E. Decker, Troy N. Rowan, Harly J. Durbin, Jeremy F. Taylor, and Benjamin D. Rosen.

Their work has been published in several recurring scientific venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Reports
  • Journal of Dairy Science
  • Animal Genetics
  • G3 Genes Genomes Genetics

Best Publications

  • Invited review: reliability of genomic predictions for North American Holstein bulls.

    P.M. VanRaden;C.P. Van Tassell;G.R. Wiggans;T.S. Sonstegard

  • The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution

    Christine G. Elsik;Christine G. Elsik;Christine G. Elsik;Ross L. Tellam;Kim C. Worley;Kim C. Worley;Richard A. Gibbs

  • Development and Characterization of a High Density SNP Genotyping Assay for Cattle

    Lakshmi K. Matukumalli;Lakshmi K. Matukumalli;Cynthia T. Lawley;Robert D. Schnabel;Jeremy F. Taylor

  • Genome-Wide Survey of SNP Variation Uncovers the Genetic Structure of Cattle Breeds

    Richard A. Gibbs;Jeremy F. Taylor;Curtis P. Van Tassell

  • De novo assembly of the cattle reference genome with single-molecule sequencing.

    Benjamin D Rosen;Derek M Bickhart;Robert D Schnabel;Sergey Koren

  • Design of a High Density SNP Genotyping Assay in the Pig Using SNPs Identified and Characterized by Next Generation Sequencing Technology

    António M Ramos;Richard P M A Crooijmans;Nabeel A Affara;Andreia J. Amaral

  • SNP discovery and allele frequency estimation by deep sequencing of reduced representation libraries

    Curtis P Van Tassell;Timothy P L Smith;Lakshmi K Matukumalli;Lakshmi K Matukumalli;Jeremy F Taylor

  • Worldwide Patterns of Ancestry, Divergence, and Admixture in Domesticated Cattle

    Jared E. Decker;Stephanie D. McKay;Megan M. Rolf;Jae Woo Kim

  • Correction: Corrigendum: Gene expression differences in Longissimus muscle of Nelore steers genetically divergent for residual feed intake

    Polyana C. Tizioto;Luiz L. Coutinho;Priscila S. N. Oliveira;Aline S. M. Cesar

  • Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals.

    Aniek C. Bouwman;Hans D. Daetwyler;Amanda J. Chamberlain;Carla Hurtado Ponce

  • Bottlenecks and selective sweeps during domestication have increased deleterious genetic variation in dogs

    Clare D. Marsden;Diego Ortega-Del Vecchyo;Dennis P. O’Brien;Jeremy F. Taylor

  • Copy number variation of individual cattle genomes using next-generation sequencing

    Derek M. Bickhart;Yali Hou;Steven G. Schroeder;Can Alkan

  • Distribution and location of genetic effects for dairy traits

    J.B. Cole;P.M. VanRaden;J.R. O’Connell;C.P. Van Tassell

  • Whole genome linkage disequilibrium maps in cattle

    Stephanie D McKay;Robert D Schnabel;Brenda M Murdoch;Lakshmi K Matukumalli;Lakshmi K Matukumalli

  • Resolving the evolution of extant and extinct ruminants with high-throughput phylogenomics

    Jared E. Decker;J. Chris Pires;Gavin C. Conant;Stephanie D. McKay

  • Accuracies of genomic breeding values in American Angus beef cattle using K-means clustering for cross-validation

    Mahdi Saatchi;Mathew C. McClure;Mathew C. McClure;Stephanie D. McKay;Megan M. Rolf

  • Extent of genome-wide linkage disequilibrium in Australian Holstein-Friesian cattle based on a high-density SNP panel

    Mehar S. Khatkar;Frank W. Nicholas;Andrew R. Collins;Kyall R. Zenger

  • A genome scan for quantitative trait loci influencing carcass, post-natal growth and reproductive traits in commercial Angus cattle.

    M. C. McClure;N. S. Morsci;R. D. Schnabel;J. W. Kim

  • New World cattle show ancestry from multiple independent domestication events

    Emily Jane McTavish;Jared E. Decker;Robert D. Schnabel;Jeremy F. Taylor

  • Distribution and location of genetic effects for dairy traits.

    J. B. Cole;P. M. VanRaden;J. R. O'Connell;C. P. van Tassell

Frequent Co-Authors

Jeremy F. Taylor
Jeremy F. Taylor University of Missouri
Jared E. Decker
Jared E. Decker University of Missouri
Tad S. Sonstegard
Tad S. Sonstegard Recombinetics (United States)
Dorian J. Garrick
Dorian J. Garrick Massey University
Curtis P. Van Tassell
Curtis P. Van Tassell Agricultural Research Service
Stephen S. Moore
Stephen S. Moore University of Queensland
Luciana Correia de Almeida Regitano
Luciana Correia de Almeida Regitano Brazilian Agricultural Research Corporation
John L. Williams
John L. Williams University of Adelaide
Timothy P. L. Smith
Timothy P. L. Smith Agricultural Research Service
James E. Womack
James E. Womack Texas A&M University

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