World's Best Scientists 2026 revealed!
Hans D. Daetwyler

Hans D. Daetwyler

D-Index & Metrics

Genetics

D-Index
51
Citations
12888
World Ranking
3847
National Ranking
258

Hans D. Daetwyler 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 Hans D. Daetwyler 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: 155 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Hans D. Daetwyler 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 Hans D. Daetwyler 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: 51 D-Index — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Overview

Hans D. Daetwyler is affiliated with Bayer Pharmaceuticals in Germany. Their research spans across the fields of Biochemistry, Genetics and Molecular Biology, and Agricultural and Biological Sciences, with a focus on Genetics as a main subfield alongside Plant Science, Molecular Biology, Ecology, and Cancer Research.

The scientist's work covers a variety of topics related to genetic and phenotypic traits in livestock, genetic mapping and diversity in plants and animals, genetics and plant breeding, wheat and barley genetics and pathology, sunflower and safflower cultivation, remote sensing in agriculture, and cancer-related molecular mechanisms research.

Frequent coauthors in Hans D. Daetwyler's publications include Matthew Hayden, Iona M. MacLeod, Surya Kant, Amanda J. Chamberlain, and Josquin Tibbits.

Some of the notable recent papers by Hans D. Daetwyler include:

  • From FAANG to fork: application of highly annotated genomes to improve farmed animal production (2020, Genome Biology)
  • Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations (2021, Nature Communications)
  • Demographic History, Adaptation, and NRAP Convergent Evolution at Amino Acid Residue 100 in the World Northernmost Cattle from Siberia (2021, Molecular Biology and Evolution)
  • Expression quantitative trait loci in sheep liver and muscle contribute to variations in meat traits (2021, Genetics Selection Evolution)
  • Mitochondrial protein gene expression and the oxidative phosphorylation pathway associated with feed efficiency and energy balance in dairy cattle (2020, Journal of Dairy Science)

The key publication venues where Hans D. Daetwyler frequently publishes are:

  • Genetics Selection Evolution
  • Frontiers in Plant Science
  • Theoretical and Applied Genetics
  • Research Square (Research Square)
  • Communications Biology

Best Publications

  • Whole-Genome Regression and Prediction Methods Applied to Plant and Animal Breeding

    Gustavo de los Campos;John M. Hickey;Ricardo Pong-Wong;Hans D. Daetwyler

  • Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle

    Hans D Daetwyler;Aurélien Capitan;Hubert Pausch;Paul Stothard

  • The Impact of Genetic Architecture on Genome-Wide Evaluation Methods

    Hans D. Daetwyler;Ricardo Pong-Wong;Beatriz Villanueva;John A. Woolliams

  • Accuracy of predicting the genetic risk of disease using a genome-wide approach.

    Hans D. Daetwyler;Hans D. Daetwyler;Beatriz Villanueva;John A. Woolliams

  • 1000 Bull Genomes Project to Map Simple and Complex Genetic Traits in Cattle: Applications and Outcomes.

    Ben J. Hayes;Hans D. Daetwyler

  • Genomic Prediction in Animals and Plants: Simulation of Data, Validation, Reporting and Benchmarking

    Hans D. Daetwyler;Mario P. L. Calus;Ricardo Pong-Wong;Gustavo de los Campos

  • The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock breeding schemes.

    Samuel A Clark;John M Hickey;Hans D Daetwyler;Julius H J van der Werf

  • Inbreeding in genome‐wide selection

    H.D. Daetwyler;B. Villanueva;P. Bijma;John Woolliams

  • 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

  • Exome sequencing highlights the role of wild-relative introgression in shaping the adaptive landscape of the wheat genome

    Fei He;Raj Pasam;Fan Shi;Surya Kant

  • Genes and spacers of cloned sea urchin histone DNA analyzed by sequencing

    W. Schaffner;G. Kunz;H. Daetwyler;J. Telford

  • A Genome Scan to Detect Quantitative Trait Loci for Economically Important Traits in Holstein Cattle Using Two Methods and a Dense Single Nucleotide Polymorphism Map

    H.D. Daetwyler;F.S. Schenkel;M. Sargolzaei;J.A.B. Robinson

  • Components of the accuracy of genomic prediction in a multi-breed sheep population

    H. D. Daetwyler;K. E. Kemper;J. H. J. van der Werf;J. H. J. van der Werf;B. J. Hayes;B. J. Hayes

  • Designing dairy cattle breeding schemes under genomic selection: a review of international research

    J. E. Pryce;H. D. Daetwyler

  • Quantifying the contribution of sequence variants with regulatory and evolutionary significance to 34 bovine complex traits

    Ruidong Xiang;Irene van den Berg;Iona M. MacLeod;Benjamin J. Hayes

  • Accuracy of estimated genomic breeding values for wool and meat traits in a multi-breed sheep population

    H. D. Daetwyler;J. M. Hickey;J. M. Henshall;S. Dominik

  • Accuracy of pedigree and genomic predictions of carcass and novel meat quality traits in multi-breed sheep data assessed by cross-validation

    Hans D Daetwyler;Andrew A Swan;Andrew A Swan;Julius H J van der Werf;Julius H J van der Werf;Ben J Hayes;Ben J Hayes

  • Genomic prediction for rust resistance in diverse wheat landraces

    Hans D. Daetwyler;Urmil K. Bansal;Harbans S. Bariana;Matthew J. Hayden

  • Accuracy of genotype imputation in sheep breeds.

    B. J. Hayes;P. J. Bowman;H. D. Daetwyler;J. W. Kijas

  • Genomic selection in crops, trees and forages: a review

    Z. Lin;Z. Lin;Z. Lin;B. J. Hayes;B. J. Hayes;B. J. Hayes;H. D. Daetwyler;H. D. Daetwyler;H. D. Daetwyler

Frequent Co-Authors

Ben J. Hayes
Ben J. Hayes University of Queensland
Michael E. Goddard
Michael E. Goddard University of Melbourne
German Spangenberg
German Spangenberg La Trobe University
Iona M. MacLeod
Iona M. MacLeod La Trobe University
Matthew J. Hayden
Matthew J. Hayden La Trobe University
Amanda J. Chamberlain
Amanda J. Chamberlain La Trobe University
Andrew Swan
Andrew Swan University of New England
Sunduimijid Bolormaa
Sunduimijid Bolormaa Agriculture Victoria Services (Australia)
J. H. J. van der Werf
J. H. J. van der Werf University of New England
Jennie E. Pryce
Jennie E. Pryce La Trobe University

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