World's Best Scientists 2026 revealed!
Juan Pablo Gutiérrez

Juan Pablo Gutiérrez

D-Index & Metrics

Animal Science and Veterinary

D-Index
51
Citations
9091
World Ranking
583
National Ranking
22

Juan Pablo Gutiérrez 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 Juan Pablo Gutiérrez 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: 216 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Juan Pablo Gutiérrez 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 Juan Pablo Gutiérrez 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: 51 D-Index — 82nd percentile

82% 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:

  • Genetics
  • Statistics
  • Gene

The scientist’s investigation covers issues in Inbreeding, Genetic variability, Statistics, Genetics and Effective population size. His Inbreeding study incorporates themes from Breed, Ice calving, Insemination and Veterinary medicine. His Breed research is multidisciplinary, incorporating perspectives in Zoology and Herd.

His research investigates the link between Genetic variability and topics such as Genetic diversity that cross with problems in Endangered species. Juan Pablo Gutiérrez integrates many fields in his works, including Statistics and Estimation. Juan Pablo Gutiérrez has included themes like Population size and Population genetics in his Effective population size study.

His most cited work include:

  • A note on ENDOG: a computer program for analysing pedigree information (342 citations)
  • MolKin v2.0: A Computer Program for Genetic Analysis of Populations Using Molecular Coancestry Information (165 citations)
  • Pedigree analysis of eight Spanish beef cattle breeds (158 citations)

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

Juan Pablo Gutiérrez mainly focuses on Inbreeding, Genetics, Breed, Animal science and Genetic variability. His research investigates the connection between Inbreeding and topics such as Effective population size that intersect with issues in Population size. His Genetics research focuses on Evolutionary biology and how it connects with Pony and Livestock.

In Breed, Juan Pablo Gutiérrez works on issues like Veterinary medicine, which are connected to Dairy cattle. His biological study spans a wide range of topics, including Birth weight, Ice calving, Genetic correlation and Heritability. His study looks at the intersection of Genetic variability and topics like Genetic structure with Population structure.

He most often published in these fields:

  • Inbreeding (30.43%)
  • Genetics (26.81%)
  • Breed (26.81%)

What were the highlights of his more recent work (between 2017-2021)?

  • Genetic correlation (18.12%)
  • Statistics (21.74%)
  • Heritability (18.84%)

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

Genetic correlation, Statistics, Heritability, Trait and Birth weight are his primary areas of study. His study on Ranking is often connected to Random effects model as part of broader study in Statistics. His Heritability research incorporates themes from Repeatability, Covariance and Standard deviation.

His Birth weight research includes elements of Heteroscedasticity, Physiology, Animal science and Robustness. His study in Animal science is interdisciplinary in nature, drawing from both Weight gain, Livestock and Genetic relatedness. Juan Pablo Gutiérrez interconnects Additive genetic effects, Genetic variability, Coefficient of variation and Shrimp in the investigation of issues within Genetic variation.

Between 2017 and 2021, his most popular works were:

  • Cross-validation analysis for genetic evaluation models for ranking in endurance horses (8 citations)
  • The Statistical Scale Effect as a Source of Positive Genetic Correlation Between Mean and Variability: A Simulation Study. (5 citations)
  • Heritability of individual fiber medullation in Peruvian alpacas (4 citations)

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

  • Genetics
  • Statistics
  • Gene

His primary areas of study are Heritability, Genetic correlation, Statistics, Animal science and Trait. The subject of his Genetic correlation research is within the realm of Genetic variation. In his research, Juan Pablo Gutiérrez performs multidisciplinary study on Statistics and Random effects model.

His studies in Animal science integrate themes in fields like Weight gain, Birth weight and Livestock. His Weight gain research integrates issues from Litter, Weaning and Laboratory mouse. His Birth weight research is multidisciplinary, incorporating elements of Feed conversion ratio and Animal feed.

Best Publications

  • A note on ENDOG: a computer program for analysing pedigree information

    J. P. Gutiérrez;F. Goyache

  • Improving the estimation of realized effective population sizes in farm animals.

    J.P. Gutiérrez;I. Cervantes;F. Goyache

  • Pedigree analysis of eight Spanish beef cattle breeds

    Juan Pablo Gutiérrez;Juan Altarriba;Clara Díaz;Raquel Quintanilla;Raquel Quintanilla

  • MolKin v2.0: A Computer Program for Genetic Analysis of Populations Using Molecular Coancestry Information

    J. P. Gutiérrez;L. J. Royo;I. Álvarez;F. Goyache

  • Individual increase in inbreeding allows estimating effective sizes from pedigrees

    Juan Pablo Gutiérrez;Isabel Cervantes;Antonio Molina;Mercedes Valera

  • Using pedigree information to monitor genetic variability of endangered populations: the Xalda sheep breed of Asturias as an example

    F. Goyache;J. P. Gutiérrez;I. Fernández;E. Gomez

  • Inbreeding depression on female fertility and calving ease in Spanish dairy cattle.

    O. González-Recio;E. López de Maturana;J.P. Gutiérrez

  • Pedigree analysis in the Andalusian horse: population structure, genetic variability and influence of the Carthusian strain

    M. Valera;A. Molina;J.P. Gutiérrez;J. Gómez

  • Estimation of effective population size from the rate of coancestry in pedigreed populations

    I. Cervantes;F. Goyache;A. Molina;M. Valera

  • Genetic relationships between calving date, calving interval, age at first calving and type traits in beef cattle

    J.P Gutiérrez;I Alvarez;I Fernández;L.J Royo

  • Application of individual increase in inbreeding to estimate realized effective sizes from real pedigrees.

    I. Cervantes;F. Goyache;A. Molina;M. Valera

  • Population history and genetic variability in the Spanish Arab Horse assessed via pedigree analysis

    I. Cervantes;A. Molina;F. Goyache;J.P. Gutiérrez

  • Genetic relationships and admixture among sheep breeds from Northern Spain assessed using microsatellites.

    I. Álvarez;L. J. Royo;I. Fernández;J. P. Gutiérrez

  • Ciliate cryptobiosis: a microbial strategy against environmental starvation

    Juan Gutiérrez;Sergio Callejas;Sara Borniquel;Laura Benítez

  • Assessment of inbreeding depression for body measurements in Spanish Purebred (Andalusian) horses

    M.D. Gómez;M. Valera;A. Molina;J.P. Gutiérrez

  • The Origins of Iberian Horses Assessed via Mitochondrial DNA

    L. J. Royo;I. Álvarez;A. Beja-Pereira;A. Molina

  • Genetic parameters for canalisation analysis of litter size and litter weight traits at birth in mice

    Juan Pablo Gutiérrez;Blanca Nieto;Pepa Piqueras;Noelia Ibáñez

  • Pedigree information reveals moderate to high levels of inbreeding and a weak population structure in the endangered Catalonian donkey breed.

    J. P. Gutiérrez;J. Marmi;F. Goyache;J. Jordana

  • Genetic analysis of six production traits in Peruvian alpacas.

    J.P. Gutiérrez;F. Goyache;A. Burgos;I. Cervantes

  • Size and shape analysis of morphofunctional traits in the Spanish Arab horse

    I. Cervantes;R. Baumung;A. Molina;T. Druml

  • Genetic relationships among calving ease, calving interval, birth weight, and weaning weight in the Asturiana de los Valles beef cattle breed.

    J. P. Gutiérrez;F. Goyache;I. Fernández;I. Alvarez

  • Estimation of direct and maternal genetic parameters for pre-weaning traits in the Asturiana de los Valles beef cattle breed through animal and sire models.

    J. P. Gutierrez;J. Cañon;F. Goyache

  • Pedigree analysis of Iran-Black sheep and inbreeding effects on growth and reproduction traits

    M.S. Mokhtari;M.S. Mokhtari;M. Moradi Shahrbabak;A.K. Esmailizadeh;H. Moradi Shahrbabak

  • Testing the usefulness of the molecular coancestry information to assess genetic relationships in livestock using a set of Spanish sheep breeds.

    I. Álvarez;J. P. Gutiérrez;L. J. Royo;I. Fernández

  • Genetic parameters and relationships between fibre and type traits in two breeds of Peruvian alpacas

    I. Cervantes;M.A. Pérez-Cabal;R. Morante;A. Burgos

Frequent Co-Authors

Félix Goyache
Félix Goyache Servicio Regional de Investigación y Desarrollo Agroalimentario
Luis J. Royo
Luis J. Royo Servicio Regional de Investigación y Desarrollo Agroalimentario
Javier Cañón
Javier Cañón Complutense University of Madrid
Antonio Molina
Antonio Molina Technical University of Madrid
Luis Varona
Luis Varona University of Zaragoza
Loys Bodin
Loys Bodin INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
José Bento Sterman Ferraz
José Bento Sterman Ferraz Universidade de São Paulo
Johann Sölkner
Johann Sölkner BOKU University
Albano Beja-Pereira
Albano Beja-Pereira University of Porto
Joanir Pereira Eler
Joanir Pereira Eler Universidade de São Paulo

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