World's Best Scientists 2026 revealed!
Albert Johannes Buitenhuis

Albert Johannes Buitenhuis

D-Index & Metrics

Animal Science and Veterinary

D-Index
31
Citations
2560
World Ranking
2372
National Ranking
62

Albert Johannes Buitenhuis 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 Albert Johannes Buitenhuis 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: 104 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Albert Johannes Buitenhuis 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 Albert Johannes Buitenhuis 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: 31 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Endocrinology

The scientist’s investigation covers issues in Pecking order, Feather pecking, Animal science, Feather and Quantitative trait locus. Albert Johannes Buitenhuis combines subjects such as Young age and Open field with his study of Pecking order. His Animal science research includes elements of SNP genotyping, Genotype frequency, Lactalbumin and Heritability.

His research in Heritability intersects with topics in Eggshell and Plumage. His research on Quantitative trait locus concerns the broader Genetics. His work on Microsatellite, Bovine genome and Polymorphism as part of general Genetics study is frequently linked to Udder and Trait, therefore connecting diverse disciplines of science.

His most cited work include:

  • Mapping quantitative trait loci affecting feather pecking behavior and stress response in laying hens (95 citations)
  • Heritability of feather pecking and open-field response of laying hens at two different ages (94 citations)
  • Genetic and phenotypic correlations between feather pecking and open-field response in laying hens at two different ages. (82 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Genetics, Quantitative trait locus, Animal science, Feather pecking and Heritability. Albert Johannes Buitenhuis studied Quantitative trait locus and Genetic association that intersect with Candidate gene and Computational biology. His Animal science research incorporates themes from Lactose and Single-nucleotide polymorphism.

In the field of Pecking order, Feather and Zoology Albert Johannes Buitenhuis studies Feather pecking. Adult age is closely connected to Young age in his research, which is encompassed under the umbrella topic of Pecking order. The Heritability study combines topics in areas such as Genetic analysis and Statistics.

He most often published in these fields:

  • Genetics (33.71%)
  • Quantitative trait locus (32.58%)
  • Animal science (28.09%)

What were the highlights of his more recent work (between 2015-2021)?

  • Dairy cattle (16.85%)
  • Animal science (28.09%)
  • Heritability (19.10%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Dairy cattle, Animal science, Heritability, Fatty acid and Food science. In his study, Genome-wide association study, SNP and Candidate gene is inextricably linked to Genetic variation, which falls within the broad field of Dairy cattle. His Genome-wide association study research includes themes of Quantitative trait locus, Computational biology and Genetic association.

Many of his research projects under Animal science are closely connected to Danish with Danish, tying the diverse disciplines of science together. His work focuses on many connections between Heritability and other disciplines, such as Genetic analysis, that overlap with his field of interest in Orotic acid and Genetic variability. In his research, Unsaturated fatty acid is intimately related to Breed, which falls under the overarching field of Fatty acid.

Between 2015 and 2021, his most popular works were:

  • Effects of the diacylglycerol o-acyltransferase 1 (DGAT1) K232A polymorphism on fatty acid, protein, and mineral composition of dairy cattle milk (34 citations)
  • Prediction and validation of residual feed intake and dry matter intake in Danish lactating dairy cows using mid-infrared spectroscopy of milk. (25 citations)
  • Predicting methane emissions of lactating Danish Holstein cows using Fourier transform mid-infrared spectroscopy of milk (23 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Genetics
  • Endocrinology

His main research concerns Animal science, Genetic variation, Danish, Fatty acid and Lactose. Animal science is frequently linked to Heritability in his study. His Heritability research is multidisciplinary, relying on both Herd and Standard error.

His work deals with themes such as Genetics and Biotechnology, which intersect with Standard error. In his study, Genetic variability, Food science and Calcium is strongly linked to Dairy cattle, which falls under the umbrella field of Fatty acid. His studies deal with areas such as Mean squared error, Errors-in-variables models and Partial least squares regression, Analytical chemistry as well as Lactose.

Best Publications

  • Effects of breed and casein genetic variants on protein profile in milk from Swedish Red, Danish Holstein, and Danish Jersey cows.

    F. Gustavsson;A.J. Buitenhuis;M. Johansson;H.P. Bertelsen

  • Heritability of feather pecking and open-field response of laying hens at two different ages

    TB Rodenburg;AJ Buitenhuis;B Ask;KA Uitdehaag

  • The occurrence of noncoagulating milk and the association of bovine milk coagulation properties with genetic variants of the caseins in 3 Scandinavian dairy breeds.

    N.A. Poulsen;H.P. Bertelsen;H.B. Jensen;F. Gustavsson

  • Genetic and phenotypic correlations between feather pecking and open-field response in laying hens at two different ages.

    T. B. Rodenburg;A. J. Buitenhuis;B. Ask;K. A. Uitdehaag

  • Mapping quantitative trait loci affecting feather pecking behavior and stress response in laying hens

    A J Buitenhuis;T B Rodenburg;Y M van Hierden;M Siwek

  • Feather pecking in laying hens: new insights and directions for research?

    T.B Rodenburg;Y.M van Hierden;A.J Buitenhuis;B Riedstra

  • Detection of Quantitative Trait Loci in Danish Holstein Cattle Affecting Clinical Mastitis, Somatic Cell Score, Udder Conformation Traits, and Assessment of Associated Effects on Milk Yield

    M.S. Lund;B. Guldbrandtsen;A.J. Buitenhuis;B. Thomsen

  • Genetic and phenotypic correlations between feather pecking behavior, stress response, immune response, and egg quality traits in laying hens.

    A. J. Buitenhuis;T. B. Rodenburg;P. H. Wissink;J. Visscher

  • Effects of the diacylglycerol o-acyltransferase 1 (DGAT1) K232A polymorphism on fatty acid, protein, and mineral composition of dairy cattle milk

    H. Bovenhuis;M.H.P.W. Visker;N.A. Poulsen;J. Sehested

  • Prediction and validation of residual feed intake and dry matter intake in Danish lactating dairy cows using mid-infrared spectroscopy of milk.

    N. Shetty;P. Løvendahl;M.S. Lund;A.J. Buitenhuis

  • Estimation of genetic parameters and detection of quantitative trait loci for metabolites in Danish Holstein milk.

    A.J. Buitenhuis;U.K. Sundekilde;N.A. Poulsen;H.C. Bertram

  • Selection on feather pecking affects response to novelty and foraging behaviour in laying hens

    Elske N. de Haas;Elske N. de Haas;Birte L. Nielsen;A.J. (Bart) Buitenhuis;T. Bas Rodenburg

  • Identification of quantitative trait loci for receiving pecks in young and adult laying hens

    A. J. Buitenhuis;T. B. Rodenburg;M. Siwek;S. J. B. Cornelissen

  • Candidate Gene Promoter Polymorphisms and Antibody Response Kinetics in Chickens: Interferon-γ, Interleukin-2, and Immunoglobulin Light Chain

    H. Zhou;A. J. Buitenhuis;Steffen Weigend;S. J. Lamont

  • Factors influencing chymosin-induced gelation of milk from individual dairy cows: Major effects of casein micelle size and calcium

    Frida Gustavsson;Maria Glantz;A. J. Buitenhuis;Helena Lindmark Månsson

  • Predicting methane emissions of lactating Danish Holstein cows using Fourier transform mid-infrared spectroscopy of milk

    N.P. Shetty;G. Difford;G. Difford;J. Lassen;P. Løvendahl

  • Joint genome-wide association study for milk fatty acid traits in Chinese and Danish Holstein populations.

    X. Li;A.J. Buitenhuis;M.S. Lund;C. Li

  • Effects of the DGAT1 polymorphism on test-day milk production traits throughout lactation.

    H. Bovenhuis;M.H.P.W. Visker;H.J.F. van Valenberg;A.J. Buitenhuis

  • Phenotypic and genetic associations of milk traits with milk coagulation properties.

    N.A. Poulsen;A.J. Buitenhuis;L.B. Larsen

  • Multi-population GWAS and enrichment analyses reveal novel genomic regions and promising candidate genes underlying bovine milk fatty acid composition.

    G. Gebreyesus;G. Gebreyesus;A. J. Buitenhuis;N. A. Poulsen;M. H. P. W. Visker

  • Altered Circulating Levels of Serotonin and Immunological Changes in Laying Hens Divergently Selected for Feather Pecking Behavior

    A. J. Buitenhuis;Joergen B. Kjaer;Rodrigo Labouriau;Helle Risdahl Juul-Madsen

  • Quantitative Trait Loci for Body Weight in Layers Differ from Quantitative Trait Loci Specific for Antibody Responses to Sheep Red Blood Cells

    M.Z. Siwek;S.J.B. Cornelissen;A.J. Buitenhuis;M.G.B. Nieuwland

  • Detection of different quantitative trait loci for antibody responses to keyhole lympet hemocyanin and Mycobacterium butyricum in two unrelated populations of laying hens

    M. Siwek;A. J. Buitenhuis;S. J. B. Cornelissen;M. G. B. Nieuwland

  • Detection of quantitative trait loci affecting lameness and leg conformation traits in Danish Holstein cattle.

    A.J. Buitenhuis;M.S. Lund;J.R. Thomasen;B. Thomsen

Frequent Co-Authors

H. Bovenhuis
H. Bovenhuis Wageningen University & Research
Lotte Bach Larsen
Lotte Bach Larsen Aarhus University
Richard P. M. A. Crooijmans
Richard P. M. A. Crooijmans Wageningen University & Research
Martien A. M. Groenen
Martien A. M. Groenen Wageningen University & Research
J.J. van der Poel
J.J. van der Poel Wageningen University & Research
T.B. Rodenburg
T.B. Rodenburg Utrecht University
Paul Koene
Paul Koene Wageningen University & Research
Christian Bendixen
Christian Bendixen Aarhus University
J.A.M. van Arendonk
J.A.M. van Arendonk Wageningen University & Research
Peter Løvendahl
Peter Løvendahl Aarhus University

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Related Online Degrees & Career Pathways

For students interested in Animal Science and Veterinary fields, exploring related online degrees can broaden career opportunities. Programs like nasp school psychology programs offer valuable insights into behavior, which can be applied to animal behavior studies and improve animal welfare initiatives.

Additionally, online mental health counseling degrees are growing, with options such as online apa accredited psyd programs available without GRE requirements. These programs prepare graduates for therapeutic roles, which can also intersect with veterinary behavioral health.

Students interested in public health or rehabilitation may consider an addiction counseling online degree. This pathway supports work with clients or animals affected by substance abuse or trauma, highlighting the interdisciplinary nature of care.

Furthermore, online marriage and family therapy graduate programs provide skills in therapeutic support and communication, which are transferable in roles that involve client counseling and community outreach in veterinary settings.

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