World's Best Scientists 2026 revealed!

D-Index & Metrics

Animal Science and Veterinary

D-Index
36
Citations
4391
World Ranking
1638
National Ranking
54

Y. de Haas publication distribution in Animal Science and Veterinary in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Animal Science and Veterinary in 2026. The highlighted bar marks where Y. de Haas sits on this spectrum.

29–33 publications: 1 scientists 34–38 publications: 6 scientists 39–43 publications: 17 scientists 44–48 publications: 23 scientists 49–53 publications: 28 scientists 54–58 publications: 44 scientists 59–63 publications: 66 scientists 64–68 publications: 75 scientists 69–73 publications: 71 scientists 74–78 publications: 85 scientists 79–83 publications: 108 scientists 84–88 publications: 105 scientists 89–93 publications: 84 scientists 94–98 publications: 103 scientists 99–103 publications: 97 scientists 104–108 publications: 95 scientists 109–113 publications: 89 scientists 114–118 publications: 88 scientists 119–123 publications: 109 scientists 124–128 publications: 93 scientists 129–133 publications: 89 scientists 134–138 publications: 95 scientists 139–143 publications: 92 scientists 144–148 publications: 80 scientists 149–153 publications: 75 scientists 154–158 publications: 74 scientists 159–163 publications: 67 scientists 164–168 publications: 53 scientists 169–173 publications: 62 scientists 174–178 publications: 63 scientists 179–183 publications: 50 scientists 184–188 publications: 55 scientists 189–193 publications: 50 scientists 194–198 publications: 27 scientists 199–203 publications: 44 scientists 204–208 publications: 31 scientists 209–213 publications: 28 scientists 214–218 publications: 38 scientists 219–223 publications: 33 scientists 224–228 publications: 36 scientists 229–233 publications: 29 scientists 234–238 publications: 35 scientists 239–243 publications: 23 scientists 244–248 publications: 24 scientists 249–253 publications: 29 scientists 254–258 publications: 28 scientists 259–263 publications: 21 scientists 264–268 publications: 25 scientists 269–273 publications: 11 scientists 274–278 publications: 18 scientists 279–283 publications: 13 scientists 284–288 publications: 18 scientists 289–293 publications: 10 scientists 294–298 publications: 12 scientists 299–303 publications: 11 scientists 304–308 publications: 15 scientists 309–313 publications: 14 scientists 314–318 publications: 14 scientists 319–323 publications: 8 scientists 324–328 publications: 8 scientists 329–333 publications: 13 scientists 334–338 publications: 14 scientists 339–343 publications: 13 scientists 344–348 publications: 10 scientists 349–353 publications: 11 scientists 354–358 publications: 5 scientists 359–363 publications: 8 scientists 364–368 publications: 8 scientists 369–373 publications: 6 scientists 374–378 publications: 7 scientists 379–383 publications: 8 scientists 384–388 publications: 3 scientists 389–393 publications: 4 scientists 394–398 publications: 5 scientists 399–403 publications: 8 scientists 404–408 publications: 5 scientists 409–413 publications: 4 scientists 414–418 publications: 3 scientists 419–423 publications: 8 scientists 424–428 publications: 5 scientists 429–433 publications: 3 scientists 434–438 publications: 5 scientists 439–441 publications: 5 scientists 442+ publications: 99 scientists
29 publications 442+

This scientist: 188 publications — 71st percentile

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

The last bar groups every scientist with 442 publications or more.

Y. de Haas D-index placement in Animal Science and Veterinary in 2026

The chart shows the D-index (discipline H-index) distribution of Animal Science and Veterinary scientists ranked by Research.com in 2026. The highlighted bar marks where Y. de Haas sits on this spectrum.

20 D-Index: 5 scientists 21 D-Index: 22 scientists 22 D-Index: 31 scientists 23 D-Index: 44 scientists 24 D-Index: 53 scientists 25 D-Index: 66 scientists 26 D-Index: 80 scientists 27 D-Index: 101 scientists 28 D-Index: 106 scientists 29 D-Index: 116 scientists 30 D-Index: 154 scientists 31 D-Index: 158 scientists 32 D-Index: 143 scientists 33 D-Index: 137 scientists 34 D-Index: 126 scientists 35 D-Index: 134 scientists 36 D-Index: 112 scientists 37 D-Index: 115 scientists 38 D-Index: 105 scientists 39 D-Index: 111 scientists 40 D-Index: 107 scientists 41 D-Index: 87 scientists 42 D-Index: 74 scientists 43 D-Index: 62 scientists 44 D-Index: 61 scientists 45 D-Index: 41 scientists 46 D-Index: 51 scientists 47 D-Index: 43 scientists 48 D-Index: 28 scientists 49 D-Index: 47 scientists 50 D-Index: 40 scientists 51 D-Index: 34 scientists 52 D-Index: 33 scientists 53 D-Index: 43 scientists 54 D-Index: 16 scientists 55 D-Index: 32 scientists 56 D-Index: 21 scientists 57 D-Index: 18 scientists 58 D-Index: 28 scientists 59 D-Index: 33 scientists 60 D-Index: 17 scientists 61 D-Index: 21 scientists 62 D-Index: 18 scientists 63 D-Index: 21 scientists 64 D-Index: 9 scientists 65 D-Index: 20 scientists 66 D-Index: 11 scientists 67 D-Index: 16 scientists 68 D-Index: 12 scientists 69 D-Index: 17 scientists 70 D-Index: 13 scientists 71 D-Index: 15 scientists 72 D-Index: 11 scientists 73 D-Index: 11 scientists 74 D-Index: 14 scientists 75 D-Index: 5 scientists 76 D-Index: 6 scientists 77+ D-Index: 100 scientists
20 D-Index 77+

This scientist: 36 D-Index — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 77 D-Index or more.

Overview

Y. de Haas is a researcher affiliated with Wageningen University & Research in the Netherlands. Their work primarily spans the fields of Agricultural and Biological Sciences and Biochemistry, Genetics and Molecular Biology, with a focus on subfields including Animal Science and Zoology, Agronomy and Crop Science, Genetics, Ecology, and Small Animals.

The researcher's contributions cover a variety of topics related to livestock, emphasizing the effects of environmental stressors, genetic and phenotypic traits, nutrition and digestive physiology of ruminants, agriculture sustainability, animal behavior and welfare, odor and emission control technologies, and meat and animal product quality.

Frequent coauthors collaborating with them include R.F. Veerkamp, C. Kamphuis, M.N. Aldridge, A.E. van Breukelen, and E.D. Ellen.

Their recent papers include:

  • "Selective breeding as a mitigation tool for methane emissions from dairy cattle," 2021, published in animal
  • "Assessing the Activity of Individual Group-Housed Broilers Throughout Life Using a Passive Radio Frequency Identification System-A Validation Study," 2020, published in Sensors
  • "Can greenhouse gases in breath be used to genetically improve feed efficiency of dairy cows?", 2020, published in Journal of Dairy Science
  • "Resilience: reference measures based on longer-term consequences are needed to unlock the potential of precision livestock farming technologies for quantifying this trait," 2022, published in Peer Community Journal
  • "Adaptation of Livestock to New Diets Using Feed Components without Competition with Human Edible Protein Sources-A Review of the Possibilities and Recommendations," 2021, published in Animals

Y. de Haas has published extensively in several journals, with the most frequent venues including Journal of Dairy Science, Poultry Science, animal, Sensors, and Peer Community Journal.

Best Publications

  • Genetic parameters for predicted methane production and potential for reducing enteric emissions through genomic selection.

    Y. de Haas;J.J. Windig;M.P.L. Calus;J. Dijkstra

  • The effect of pathogen-specific clinical mastitis on the lactation curve for somatic cell count.

    Y. de Haas;H.W. Barkema;R.F. Veerkamp

  • Invited review: Large-scale indirect measurements for enteric methane emissions in dairy cattle: A review of proxies and their potential for use in management and breeding decisions.

    E. Negussie;Y. De Haas;F. Dehareng;R. J. Dewhurst

  • Animal board invited review: genetic possibilities to reduce enteric methane emissions from ruminants.

    N. K. Pickering;V. H. Oddy;J. Basarab;K. Cammack

  • Associations between pathogen-specific cases of clinical mastitis and somatic cell count patterns.

    Y. de Haas;R.F. Veerkamp;H.W. Barkema;Y.T. Gröhn

  • Somatic cell count distributions during lactation predict clinical mastitis.

    M.J. Green;L.E. Green;Y.H. Schukken;A.J. Bradley

  • International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sources

    Donagh P. Berry;M.P. Coffey;J.E. Pryce;Y. De Haas

  • Heterogeneity in genetic and nongenetic variation and energy sink relationships for residual feed intake across research stations and countries.

    RJ Tempelman;DM Spurlock;MP Coffey;RF Veerkamp

  • Genetic and phenotypic parameters for conformation and yield traits in three Swiss dairy cattle breeds

    Y. De Haas;L.L.G. Janss;H.N. Kadarmideen

  • Genomic selection for feed efficiency in dairy cattle

    J. E. Pryce;W. J. Wales;Y. de Haas;R. F. Veerkamp

  • Invited review: Phenotypes to genetically reduce greenhouse gas emissions in dairying.

    Y. de Haas;M. Pszczola;H. Soyeurt;E. Wall

  • Alternative somatic cell count traits as mastitis indicators for genetic selection.

    Y. de Haas;W. Ouweltjes;J. ten Napel;J.J. Windig

  • Selective breeding as a mitigation tool for methane emissions from dairy cattle

    Y. de Haas;R.F. Veerkamp;G. de Jong;M.N. Aldridge

  • Local cattle breeds in Europe : development of policies and strategies for self-sustaining breeds

    S.J. Hiemstra;Y. de Haas;A. Mäkit-Tanila;G. Gandini

  • Improved accuracy of genomic prediction for dry matter intake of dairy cattle from combined European and Australian data sets.

    Y. de Haas;M.P.L. Calus;R.F. Veerkamp;E. Wall

  • Applicability of day-to-day variation in behavior for the automated detection of lameness in dairy cows

    R.M. de Mol;G. André;E.J.B. Bleumer;J.T.N. van der Werf

  • Animal Board Invited Review: Comparing conventional and organic livestock production systems on different aspects of sustainability

    C.P.A. van Wagenberg;Y. de Haas;H. Hogeveen;M.M. van Krimpen

  • Predicted accuracy of and response to genomic selection for new traits in dairy cattle.

    M.P.L. Calus;Y. de Haas;M.J. Pszczola;R.F. Veerkamp

  • The genetic and biological basis of feed efficiency in mid-lactation Holstein dairy cows

    L. C. Hardie;M. J. VandeHaar;R. J. Tempelman;K. A. Weigel

  • Genetic parameters across lactation for feed intake, fat- and protein-corrected milk, and liveweight in first-parity Holstein cattle.

    C.I.V. Manzanilla Pech;R.F. Veerkamp;M.P.L. Calus;R.L.G. Zom

  • Invited review: Determination of large-scale individual dry matter intake phenotypes in dairy cattle.

    D.J. Seymour;A. Cánovas;C.F. Baes;T.C.S. Chud

  • Combining somatic cell count traits for optimal selection against mastitis

    J.J. Windig;W. Ouweltjes;J. ten Napel;G. de Jong

  • Validation of an Ultra-Wideband Tracking System for Recording Individual Levels of Activity in Broilers

    Malou van der Sluis;Malou van der Sluis;Britt de Klerk;Esther D. Ellen;Yvette de Haas

  • Can greenhouse gases in breath be used to genetically improve feed efficiency of dairy cows

    G.F. Difford;G.F. Difford;P. Løvendahl;R.F. Veerkamp;H. Bovenhuis

  • Adaptation of Livestock to New Diets Using Feed Components without Competition with Human Edible Protein Sources-A Review of the Possibilities and Recommendations.

    Marinus F. W. te Pas;Teun Veldkamp;Yvette de Haas;André Bannink

  • A data-driven prediction of lifetime resilience of dairy cows using commercial sensor data collected during first lactation.

    Wijbrand Ouweltjes;Mirjam Spoelstra;Bart Ducro;Yvette de Haas

  • The relationship between gait and automated recordings of individual broiler activity levels.

    Malou van der Sluis;Esther D. Ellen;Britt de Klerk;T. Bas Rodenburg;T. Bas Rodenburg

  • Corrigendum to "Genetic parameters between feed-intake-related traits and conformation in 2 separate dairy populations-the Netherlands and United States" (J. Dairy Sci. 99:443-457).

    C.I.V. Manzanilla-Pech;R.F. Veerkamp;R.J. Tempelman;M.L. van Pelt

Frequent Co-Authors

Roel F. Veerkamp
Roel F. Veerkamp Wageningen University & Research
Kent A. Weigel
Kent A. Weigel University of Wisconsin–Madison
Mike Coffey
Mike Coffey Scotland's Rural College
Jennie E. Pryce
Jennie E. Pryce La Trobe University
Jack J. Windig
Jack J. Windig Wageningen University & Research
Robert J. Tempelman
Robert J. Tempelman Michigan State University
M.J. VandeHaar
M.J. VandeHaar Michigan State University
Louis E. Armentano
Louis E. Armentano University of Wisconsin–Madison
C.R. Staples
C.R. Staples University of Florida
Erin E. Connor
Erin E. Connor University of Delaware

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Related Online Degrees & Career Pathways

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Lastly, pursuing the highest credentials through online counseling phd programs can enable professionals to lead research or develop innovative animal-assisted interventions, combining advanced counseling knowledge with veterinary studies.

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