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Animal Science and Veterinary
France
2026

D-Index & Metrics

Animal Science and Veterinary

D-Index
56
Citations
12396
World Ranking
421
National Ranking
7

Didier Boichard 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 Didier Boichard 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: 514 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Didier Boichard 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 Didier Boichard 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: 56 D-Index — 87th percentile

87% 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

  • 2026 - Research.com Animal Science and Veterinary in France Leader Award

Overview

Didier Boichard is affiliated with the University of Paris-Saclay in France. They have contributed extensively to the fields of Biochemistry, Genetics and Molecular Biology, with a significant focus on Agricultural and Biological Sciences. Their subfields of study include Genetics, Agronomy and Crop Science, Cancer Research, Molecular Biology, and Animal Science and Zoology.

Their research covers several main topics including:

  • Genetic and phenotypic traits in livestock
  • Genetic Mapping and Diversity in Plants and Animals
  • Cancer-related molecular mechanisms research
  • Reproductive Physiology in Livestock
  • Effects of Environmental Stressors on Livestock
  • Animal Genetics and Reproduction
  • Milk Quality and Mastitis in Dairy Cows

Boichard has authored numerous research papers, some recent examples include:

  • "Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds," 2020, Genetics Selection Evolution
  • "Confirmed effects of candidate variants for milk production, udder health, and udder morphology in dairy cattle," 2020, Genetics Selection Evolution
  • "Identification of the ABCC4, IER3, and CBFA2T2 candidate genes for resistance to paratuberculosis from sequence-based GWAS in Holstein and Normande dairy cattle," 2020, Genetics Selection Evolution
  • "The Bovine Pangenome Consortium: democratizing production and accessibility of genome assemblies for global cattle breeds and other bovine species," 2023, Genome biology
  • "Predicting male fertility from the sperm methylome: application to 120 bulls with hundreds of artificial insemination records," 2022, Clinical Epigenetics

The frequent publication venues for Boichard's work include:

  • Genetics Selection Evolution
  • Journal of Dairy Science
  • bioRxiv (Cold Spring Harbor Laboratory)
  • INRAE Productions Animales
  • Scientific Reports

Boichard collaborates regularly with a number of researchers, notably:

  • Sébastien Fritz
  • Mekki Boussaha
  • Marie-Pierre Sanchez
  • Cécile Grohs
  • Chris Hozé

In addition to peer-reviewed articles, Boichard has contributed to book publications, including "Génétique des animaux d'élevage" published by the Centre National de la Recherche Scientifique in 2020.

Best Publications

  • 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 value of using probabilities of gene origin to measure genetic variability in a population

    Unknown

  • Genetic parameters for clinical mastitis, somatic cell score, production, udder type traits, and milking ease in first lactation Holsteins.

    R. Rupp;D. Boichard

  • Genetics of resistance to mastitis in dairy cattle.

    Rachel Rupp;Didier Boichard

  • 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

  • DETECTION OF GENES INFLUENCING ECONOMIC TRAITS IN THREE FRENCH DAIRY CATTLE BREEDS

    Didier Boichard;Cécile Grohs;Florence T. Bourgeois;Frédérique Cerqueira

  • Mapping quantitative trait loci for milk production and health of dairy cattle in a large outbred pedigree.

    Qin Zhang;Didier Boichard;Ina Hoeschele;Cynthia Ernst

  • Detection of haplotypes associated with prenatal death in dairy cattle and identification of deleterious mutations in GART, SHBG and SLC37A2.

    Sébastien Fritz;Aurelien Capitan;Anis Djari;Sabrina C. Rodriguez

  • Design of a Bovine Low-Density SNP Array Optimized for Imputation

    Didier Boichard;Hoyoung Chung;Romain Dassonneville;Xavier David

  • Modeling lactation curves and estimation of genetic parameters for first lactation test-day records of French Holstein cows.

    Tom Druet;F. Jaffrezic;D. Boichard;V. Ducrocq

  • Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction

    Rasmus Froberg Brøndum;Guosheng Su;Luc Janss;Goutam Sahana

  • Genetic and Haplotypic Structure in 14 European and African Cattle Breeds

    Mathieu Gautier;Thomas Faraut;Katayoun Moazami-Goudarzi;Vincent Navratil

  • GSE is now an open access journal published by BioMed Central.

    Hélène Hayes;Philippe Baret;Didier Boichard

  • Within-breed and multi-breed GWAS on imputed whole-genome sequence variants reveal candidate mutations affecting milk protein composition in dairy cattle

    Marie-Pierre Sanchez;Armelle Govignon-Gion;Pascal Croiseau;Sébastien Fritz

  • New phenotypes for new breeding goals in dairy cattle.

    Didier Boichard;Mickael Brochard

  • Three Methods to Validate the Estimation of Genetic Trend for Dairy Cattle

    D. Boichard;B. Bonaiti;A. Barbat;S. Mattalia

  • Invited review: Low milk somatic cell count and susceptibility to mastitis.

    P. Rainard;G. Foucras;D. Boichard;R. Rupp

  • High-density marker imputation accuracy in sixteen French cattle breeds

    Chris Hozé;Chris Hozé;Marie-Noëlle Fouilloux;Eric Venot;Eric Venot;François Guillaume;François Guillaume

  • Genomic selection in French dairy cattle

    Didier Boichard;Francois Guillaume;A. Baur;Pascal Croiseau

  • Novel Insights into the Bovine Polled Phenotype and Horn Ontogenesis in Bovidae

    Aurélie Allais-Bonnet;Cécile Grohs;Ivica Medugorac;Stefan Krebs

  • Alternative models for QTL detection in livestock. I. General introduction

    Jean Michel Elsen;Brigitte Mangin;Bruno Goffinet;Didier Boichard

  • Combined analysis of data from two granddaughter designs: A simple strategy for QTL confirmation and increasing experimental power in dairy cattle

    Jörn Bennewitz;Norbert Reinsch;Cécile Grohs;Hubert Levéziel

  • Characterization of the DGAT1 K232A and variable number of tandem repeat polymorphisms in French dairy cattle

    M. Gautier;A. Capitan;S. Fritz;A. Eggen

  • Fine mapping of quantitative trait loci affecting female fertility in dairy cattle on BTA03 using a dense single-nucleotide polymorphism map.

    Tom Druet;Sébastien Fritz;Mekki Boussaha;Slim Ben-Jemaa

  • Fine mapping of copy number variations on two cattle genome assemblies using high density SNP array.

    Yali Hou;Yali Hou;Derek M Bickhart;Miranda L Hvinden;Congjun Li

  • Relationship of early first lactation somatic cell count with risk of subsequent first clinical mastitis.

    R. Rupp;D. Boichard

  • Efficiency of multi-breed genomic selection for dairy cattle breeds with different sizes of reference population

    C. Hozé;Sébastien Fritz;Florence Phocas;Didier Boichard

  • Genetic variability of French dairy breeds estimated from pedigree information

    Unknown

  • The value of using probabilities of gene origin to measure genetic variability in a population

    Unknown

  • Genomic Selection In French Dairy Cattle

    Didier Boichard;Francois Guillaume;A. Baur;Pascal Croiseau

Frequent Co-Authors

Vincent Ducrocq
Vincent Ducrocq University of Paris-Saclay
Mogens Sandø Lund
Mogens Sandø Lund Aarhus University
Christophe Klopp
Christophe Klopp INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Rachel Rupp
Rachel Rupp Federal University of Toulouse Midi-Pyrénées
Michel Georges
Michel Georges University of Liège
Bernt Guldbrandtsen
Bernt Guldbrandtsen Aarhus University
Carole Charlier
Carole Charlier University of Liège
Wouter Coppieters
Wouter Coppieters University of Liège
Ruedi Fries
Ruedi Fries Technical University of Munich
Roel F. Veerkamp
Roel F. Veerkamp Wageningen University & Research

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