World's Best Scientists 2026 revealed!

D-Index & Metrics

Animal Science and Veterinary

D-Index
52
Citations
9403
World Ranking
541
National Ranking
22

Nicolas Gengler 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 Nicolas Gengler 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: 586 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Nicolas Gengler 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 Nicolas Gengler 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: 52 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2019 - J. L. Lush Award in Animal Breeding, American Dairy Science Association
  • 2018 - Journal of Dairy Science Highly Cited Awards, American Dairy Science Association

Overview

Nicolas Gengler is affiliated with Gembloux Agro-Bio Tech in Belgium and has a research focus encompassing Agricultural and Biological Sciences as well as Biochemistry, Genetics and Molecular Biology. Their work primarily covers genetics, animal science and zoology, and agronomy and crop science, with additional contributions to small animals and analytical chemistry subfields.

Their research explores multiple topics within livestock science, including:

  • Genetic and phenotypic traits in livestock
  • Effects of environmental stressors on livestock
  • Reproductive physiology in livestock
  • Milk quality and mastitis in dairy cows
  • Meat and animal product quality
  • Genetic mapping and diversity in plants and animals
  • Animal behavior and welfare studies

Nicolas Gengler has published extensively, with frequent contributions in several scientific journals. The most common venues for their work are:

  • Journal of Dairy Science
  • Journal of Animal Breeding and Genetics
  • Animals
  • Livestock Science
  • Journal of Animal Science

Their recent papers include:

  • Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions, 2020, Methods
  • Potential of milk mid-infrared spectra to predict nitrogen use efficiency of individual dairy cows in early lactation, 2020, Journal of Dairy Science
  • Invited review: From heat stress to disease-Immune response and candidate genes involved in cattle thermotolerance, 2023, Journal of Dairy Science
  • A comparison of 4 different machine learning algorithms to predict lactoferrin content in bovine milk from mid-infrared spectra, 2020, Journal of Dairy Science
  • Diagnosing the pregnancy status of dairy cows: How useful is milk mid-infrared spectroscopy?, 2020, Journal of Dairy Science

Frequent co-authors collaborating with Nicolas Gengler include:

  • Hélène Soyeurt
  • Clément Grelet
  • H. Atashi
  • Yansen Chen
  • Frédéric Dehareng

Nicolas Gengler has received the J. L. Lush Award in Animal Breeding from the American Dairy Science Association in 2019 and was recognized with the Journal of Dairy Science Highly Cited Awards in 2018 by the same organization.

Best Publications

  • Estimating Fatty Acid Content in Cow Milk using Mid-Infrared Spectrometry

    Hélène Soyeurt;Pierre Dardenne;Frédéric Dehareng;Georges Lognay

  • Mid-infrared prediction of bovine milk fatty acids across multiple breeds, production systems, and countries.

    Hélène Soyeurt;Frédéric Dehareng;Nicolas Gengler;Sinead McParland

  • Invited review: overview of new traits and phenotyping strategies in dairy cattle with a focus on functional traits

    Christa Egger-Danner;J. B. Cole;J. E. Pryce;N. Gengler

  • Evaluation of heat stress effects on production traits and somatic cell score of Holsteins in a temperate environment.

    Hedi Hammami;Hedi Hammami;Jeanne Bormann;Naceur M'Hamdi;Horacio Hugo Montaldo

  • Variation in Fatty Acid Contents of Milk and Milk Fat Within and Across Breeds

    Hélène Soyeurt;Pierre Dardenne;Alain Gillon;Coraline Croquet

  • Pit-1 gene polymorphism, milk yield, and conformation traits for Italian Holstein-Friesian bulls

    Robert Renaville;Nicolas Gengler;E. Vrech;A. Prandi

  • A simple method to approximate gene content in large pedigree populations: application to the myostatin gene in dual-purpose Belgian Blue cattle

    Nicolas Gengler;P. Mayeres;M. Szydlowski

  • 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

  • Persistency of lactation yields: a review

    Nicolas Gengler

  • Estimation of heritability and genetic correlations for the major fatty acids in bovine milk.

    Hélène Soyeurt;Alain Gillon;Sylvie Vanderick;Patrick Mayeres

  • Potential estimation of major mineral contents in cow milk using mid-infrared spectrometry.

    Hélène Soyeurt;Damien Bruwier;Jean-Michel Romnee;Nicolas Gengler

  • Genetic analysis of heat stress effects on yield traits, udder health, and fatty acids of Walloon Holstein cows

    Hedi Hammami;Hedi Hammami;Jérémie Vandenplas;Jérémie Vandenplas;Marie-Laure Vanrobays;Boulbaba Rekik

  • Potential use of milk mid-infrared spectra to predict individual methane emission of dairy cows

    Frédéric Dehareng;Camille Delfosse;Eric Froidmont;Hélène Soyeurt

  • Development of Fourier transform mid-infrared calibrations to predict acetone, β-hydroxybutyrate, and citrate contents in bovine milk through a European dairy network

    C. Grelet;C. Bastin;M. Gelé;J.-B. Davière

  • Phenotypic and genetic variability of production traits and milk fatty acid contents across days in milk for Walloon Holstein first-parity cows.

    Catherine Bastin;Nicolas Gengler;Nicolas Gengler;Hélène Soyeurt;Hélène Soyeurt

  • Relationships of Polymorphisms for Growth Hormone and Growth Hormone Receptor Genes with Milk Production Traits for Italian Holstein-Friesian Bulls

    M. Falaki;Nicolas Gengler;M. Sneyers;A. Prandi

  • Inbreeding Depression for Global and Partial Economic Indexes, Production, Type, and Functional Traits

    Coraline Croquet;Patrick Mayeres;Alain Gillon;Sylvie Vanderick

  • Modeling heat stress under different environmental conditions.

    Maria-Jesus Carabano;Betka Logar;Jeanne Bormann;Julien Minet

  • Invited review: Opportunities for genetic improvement of metabolic diseases.

    J.E. Pryce;K.L. Parker Gaddis;A. Koeck;C. Bastin

  • Variation of Δ9-Desaturase Activity in Dairy Cattle

    Hélène Soyeurt;Frédéric Dehareng;Patrick Mayeres;Carlo Bertozzi

  • Multi‐trait animal model estimation of genetic parameters for linear type and gait traits in the Belgian warmblood horse

    M Rustin;Steven Janssens;Nadine Buys;N Gengler

  • Capitalizing on fine milk composition for breeding and management of dairy cows.

    Nicolas Gengler;Hélène Soyeurt;Fréderic Dehareng;Catherine Bastin

  • Genetic parameters for Tunisian Holsteins using a test-day random regression model.

    H. Hammami;B. Rekik;H. Soyeurt;A. Ben Gara

  • Estimation of (Co)variance Function Coefficients for Test Day Yield with a Expectation-Maximization Restricted Maximum Likelihood Algorithm

    Nicolas Gengler;A. Tijani;G. R. Wiggans;I. Misztal

  • Genetic variability of lactoferrin content estimated by mid-infrared spectrometry in bovine milk.

    Hélène Soyeurt;Frédéric Colinet;Valérie Arnould;Pierre Dardenne

  • Genotype by environment interaction in dairy cattle

    Hedi Hammami;Boulbaba Rekik;Nicolas Gengler

Frequent Co-Authors

Hélène Soyeurt
Hélène Soyeurt Gembloux Agro-Bio Tech
Daniel Portetelle
Daniel Portetelle University of Liège
Ignacy Misztal
Ignacy Misztal University of Georgia
Donagh P. Berry
Donagh P. Berry Teagasc - The Irish Agriculture and Food Development Authority
Filippo Miglior
Filippo Miglior University of Guelph
Johann Sölkner
Johann Sölkner BOKU University
Jennie E. Pryce
Jennie E. Pryce La Trobe University
Arsène Burny
Arsène Burny Université Libre de Bruxelles
John B. Cole
John B. Cole United States Department of Agriculture
Bjørg Heringstad
Bjørg Heringstad Norwegian University of Life Sciences

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Related Online Degrees & Career Pathways

Students interested in Animal Science and Veterinary studies often explore complementary fields that enhance their career flexibility. For instance, pursuing a bcba degree can be valuable for those looking to work in animal behavior analysis or therapy-related roles involving animals.

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For individuals interested in advanced clinical practice without conventional testing barriers, online options like apa accredited psyd programs online provide high-quality professional degrees that can complement veterinary knowledge through behavioral health sciences.

Finally, exploring online colleges for addiction counseling can open career pathways in counseling and rehabilitation services, fields that often work alongside animal-assisted therapy and related veterinary social services.

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