World's Best Scientists 2026 revealed!

D-Index & Metrics

Animal Science and Veterinary

D-Index
32
Citations
3985
World Ranking
2125
National Ranking
605

E. J. Pollak 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 E. J. Pollak 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: 78 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

E. J. Pollak 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 E. J. Pollak 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: 32 D-Index — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Overview

E. J. Pollak is affiliated with the Agricultural Research Service in the United States and has contributed to multiple research areas primarily within biochemistry, genetics, and molecular biology. Their work spans several interconnected fields including genetics, public health, agronomy and crop science, general health professions, and radiological and ultrasound technology.

Their research topics cover genetic and phenotypic traits in livestock, palliative care and end-of-life issues, genetic mapping and diversity in plants and animals, reproductive physiology in livestock, geriatric care and nursing homes, and family and patient care in intensive care units.

Pollak's recent papers include the following:

  • Genetic parameter estimates for bull prolificacy and its relationship with scrotal circumference in a commercial beef cattle population, 2021, published in Translational Animal Science
  • Developing a Comfort Care Service: A Palliative Care and Hospital Medicine Partnership, 2025, published in Journal of Pain and Symptom Management
  • PSIII-8 Genetic Parameter Estimates for Bull Prolificacy and Its Relationship with Scrotal Circumference in a Commercial Beef Cattle Population, 2021, published in Journal of Animal Science
  • Improving Access to Inpatient Hospice: Implementation and Impact of a Dedicated Comfort Care Service in a Tertiary Care Hospital, 2025, published in Journal of Palliative Medicine

They have frequently published in the following venues:

  • Translational Animal Science
  • Journal of Pain and Symptom Management
  • Journal of Animal Science
  • Journal of Palliative Medicine

Frequent coauthors collaborating with Pollak include:

  • Chad A Russell
  • Matthew L Spangler
  • Neha Kayastha
  • Yvonne Acker
  • David J. Fisher

The research contributions of E. J. Pollak illustrate a multidisciplinary approach blending genetics in livestock with public health concerns such as palliative and geriatric care. This reflects a broad expertise encompassing both molecular biology and applied health services research.

Best Publications

  • Mixed Model Methodology for Farm and Ranch Beef Cattle Testing Programs

    R. L. Quaas;R. L. Quaas;E. J. Pollak;E. J. Pollak

  • Length of Productive Life of Dairy Cows. 1. Justification of a Weibull Model

    V. Ducrocq;R.L. Quaas;E.J. Pollak;G. Casella

  • Length of Productive Life of Dairy Cows. 2. Variance Component Estimation and Sire Evaluation

    V. Ducrocq;R.L. Quaas;E.J. Pollak;G. Casella

  • Selection Bias and Multiple Trait Evaluation

    E.J. Pollak;J.H.J. van der Werf;R.L. Quaas

  • Variance heterogeneity in direct and maternal weight traits by sex and percent purebred for Simmental-sired calves.

    D. J. Garrick;E. J. Pollak;R. L. Quaas;L. D. Van Vleck

  • Variation in the volume of zebra finch song control nuclei is heritable: developmental and evolutionary implications.

    D C Airey;H Castillo-Juarez;G Casella;E J Pollak

  • Interrelationships of Parturition Problems, Production of Subsequent Lactation, Reproduction, and Age at First Calving

    Unknown

  • Modified Equations for Sire Models with Groups

    R.L. Quaas;E.J. Pollak

  • Genetic parameters for carcass traits and their live animal indicators in Simmental cattle.

    D. H. Crews;E. J. Pollak;R. L. Weaber;R. L. Quaas

  • Relationship between sire x year interactions and direct-maternal genetic correlation for weaning weight of Simmental cattle.

    C Lee;E J Pollak

  • Genetic analysis of Holstein cattle populations in Brazil and the United States.

    C.N. Costa;R.W. Blake;E.J. Pollak;P.A. Oltenacu

  • Phenotypic ranges and relationships among carcass and meat palatability traits for fourteen cattle breeds, and heritabilities and expected progeny differences for Warner-Bratzler shear force in three beef cattle breeds

    M. E. Dikeman;E. J. Pollak;Z. Zhang;D. W. Moser

  • Estimation of Genetic Trend in selected Population with and Without the use of Control Population

    H. T. Blair;E. J. Pollak

  • DNA-based paternity analysis and genetic evaluation in a large, commercial cattle ranch setting

    A. L. Van Eenennaam;R. L. Weaber;D. J. Drake;M. C. T. Penedo

  • QTLs associated with dry matter intake, metabolic mid-test weight, growth and feed efficiency have little overlap across 4 beef cattle studies.

    Mahdi Saatchi;Jonathan E. Beever;Jared E. Decker;Dan B. Faulkner

  • Comparison of molecular breeding values based on within- and across-breed training in beef cattle

    Stephen D Kachman;Matthew L Spangler;Gary L Bennett;Kathryn J Hanford

  • Effects of Selection on Estimates of Variance Components Using Gibbs Sampling and Restricted Maximum Likelihood

    C.P. Van Tassell;G. Casella;E.J. Pollak

  • Genetic antagonism between body weight and milk production in beef cattle.

    C Lee;E J Pollak

  • Application of an Autoregressive Process to Estimate Genetic Parameters and Breeding Values for Daily Milk Yield in a Tropical Herd of Lucerna Cattle and in United States Holstein Herds

    J.G.V. Carvalheira;R.W. Blake;E.J. Pollak;R.L. Quaas

  • Definition of Group Effects in Sire Evaluation Models

    E.J. Pollak;R.L. Quaas

  • Monte Carlo Study of Genetic Evaluations Using Sequentially Selected Records

    E. J. Pollak;E. J. Pollak;R. L. Quaas;R. L. Quaas

  • Evaluation of Simmental carcass EPD estimated using live and carcass data.

    D. H. Crews;E. J. Pollak;R. L. Quaas

  • Influence of sire misidentification on sire x year interaction variance and direct-maternal genetic covariance for weaning weight in beef cattle.

    C Lee;E J Pollak

  • Estimation of genetic variance and covariance components for weaning weight in Simmental cattle

    C Lee;C P Van Tassell;E J Pollak

  • Parameter estimation for carcass traits including growth information of Simmental beef cattle using restricted maximum likelihood with a multiple-trait model.

    B W Woodward;E J Pollak;R L Quaas

Frequent Co-Authors

Robert W. Blake
Robert W. Blake Cornell University
Michael E. Dikeman
Michael E. Dikeman Kansas State University
P. J. Van Soest
P. J. Van Soest Cornell University
Dorian J. Garrick
Dorian J. Garrick Massey University
L.D. Van Vleck
L.D. Van Vleck United States Department of Agriculture
George Casella
George Casella University of Florida
Vincent Ducrocq
Vincent Ducrocq University of Paris-Saclay
Pascal A. Oltenacu
Pascal A. Oltenacu University of Florida
Naomi R. Wray
Naomi R. Wray University of Queensland
Christian Maltecca
Christian Maltecca North Carolina State University

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Related Online Degrees & Career Pathways

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For those interested in behavioral analysis, pursuing one of the bcba accredited programs provides certification as a Board Certified Behavior Analyst. This pathway is especially beneficial for working with animals exhibiting behavioral challenges, opening doors to specialized therapy and training careers.

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