World's Best Scientists 2026 revealed!
Ruben N. Gonzalez

Ruben N. Gonzalez

D-Index & Metrics

Animal Science and Veterinary

D-Index
31
Citations
5627
World Ranking
2226
National Ranking
626

Ruben N. Gonzalez 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 Ruben N. Gonzalez 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: 103 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Ruben N. Gonzalez 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 Ruben N. Gonzalez 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

Ruben N. Gonzalez is affiliated with Cornell University in the United States. Their research primarily focuses on medicine, with significant contributions in immunology and allergy, physiology, dermatology, pulmonary and respiratory medicine, and health, toxicology, and mutagenesis.

The scientist's work covers key topics in asthma and respiratory diseases, allergic rhinitis and sensitization, food allergy and anaphylaxis research, dermatology and skin diseases, contact dermatitis and allergies, respiratory and cough-related research, and genetic associations and epidemiology.

Recent publications by Ruben N. Gonzalez include:

  • The upper-airway microbiome as a biomarker of asthma exacerbations despite inhaled corticosteroid treatment, 2022, Journal of Allergy and Clinical Immunology
  • Multi-ancestry genome-wide association study of asthma exacerbations, 2022, Pediatric Allergy and Immunology
  • House Dust Mite Precision Allergy Molecular Diagnosis (PAMD@) in the Th2-prone Atopic Dermatitis Endotype, 2021, Life
  • Severe Asthma Standard-of-Care Background Medication Reduction With Benralizumab: ANDHI in Practice Substudy, 2023, The Journal of Allergy and Clinical Immunology In Practice
  • A novel application of delayed-type hipersensitivity reaction to measure cellular immune response in SARS-CoV-2 exposed individuals, 2021, Clinical Immunology

Frequent co-authors in their research collaborations include:

  • Paloma Poza-Guedes
  • Inmaculada Sánchez-Machín
  • Elena Mederos-Luis
  • Víctor Matheu
  • Fernando Pineda

Ruben N. Gonzalez has published extensively in journals such as:

  • Journal of Allergy and Clinical Immunology
  • Preprints.org
  • Zenodo (CERN European Organization for Nuclear Research)
  • International Journal of Molecular Sciences
  • Journal of Investigational Allergology and Clinical Immunology

Best Publications

  • Monitoring udder health and milk quality using somatic cell counts.

    Ynte H. Schukken;David J. Wilson;Francis Welcome;Linda Garrison-Tikofsky

  • Effect of Pathogen-Specific Clinical Mastitis on Milk Yield in Dairy Cows

    Y. T. Grohn;David J. Wilson;R. N. Gonzalez;J. A. Hertl

  • Bovine Mastitis Pathogens in New York and Pennsylvania: Prevalence and Effects on Somatic Cell Count and Milk Production

    David J. Wilson;Ruben N. Gonzalez;Helena H. Das

  • SHEDDING PATTERN OF STAPHYLOCOCCUS AUREUS FROM BOVINE INTRAMAMMARY INFECTIONS

    P.M. Sears;B.S. Smith;P.B. English;P.S. Herer

  • The Cost of Generic Clinical Mastitis in Dairy Cows as Estimated by Using Dynamic Programming

    D. Bar;L.W. Tauer;G. Bennett;R.N. González

  • CNS mastitis: nothing to worry about?

    Ynte H. Schukken;Ruben N. González;Linda L. Tikofsky;Hal F. Schulte

  • Mycoplasmal mastitis in dairy herds

    Rubén N González;David J Wilson

  • Comparison of Seven Antibiotic Treatments with No Treatment for Bacteriological Efficacy Against Bovine Mastitis Pathogens

    David J. Wilson;R. N. Gonzalez;K. L. Case;L. G. Garrison

  • The cost and management of different types of clinical mastitis in dairy cows estimated by dynamic programming

    E. Cha;D. Bar;J.A. Hertl;L.W. Tauer

  • Effect of Clinical Mastitis on the Lactation Curve: A Mixed Model Estimation Using Daily Milk Weights

    D.J. Wilson;R.N. González;J. Hertl;H.F. Schulte

  • Effects of clinical mastitis caused by gram-positive and gram-negative bacteria and other organisms on the probability of conception in New York State Holstein dairy cows.

    J.A. Hertl;Y.T. Gröhn;J.D. G. Leach;D. Bar

  • Effects of repeated gram-positive and gram-negative clinical mastitis episodes on milk yield loss in Holstein dairy cows

    Y.H. Schukken;J. Hertl;D. Bar;G.J. Bennett

  • Evaluation of a nisin-based germicidal formulation on teat skin of live cows

    P.M. Sears;B.S. Smith;W.K. Stewart;R.N. Gonzalez

  • Procedures for mastitis diagnosis and control.

    Philip M. Sears;Rubén N. González;David J. Wilson;Hong R. Han

  • Effect of repeated episodes of generic clinical mastitis on milk yield in dairy cows.

    D. Bar;Y.T. Gröhn;G. Bennett;R.N. González

  • Effect of pathogen-specific clinical mastitis on herd life in two New York State dairy herds.

    Y. T. Grohn;R. N. Gonzalez;David J. Wilson;J. A. Hertl

  • The effect of recurrent episodes of clinical mastitis caused by gram-positive and gram-negative bacteria and other organisms on mortality and culling in Holstein dairy cows.

    J.A. Hertl;Y.H. Schukken;D. Bar;G.J. Bennett

  • Effects of Repeated Episodes of Generic Clinical Mastitis on Mortality and Culling in Dairy Cows

    D. Bar;Y.T. Gröhn;G. Bennett;R.N. González

  • Mastitis-causing streptococci are important contributors to bacterial counts in raw bulk tank milk.

    R. N. Zadoks;R. N. González;K. J. Boor;Y. H. Schukken

  • A cross-sectional study on the prevalence of Listeria monocytogenes and Salmonella in New York dairy herds.

    L. Hassan;H.O. Mohammed;P.L. McDonough;R.N. Gonzalez

  • Identification of potential on-farm sources of Listeria monocytogenes in herds of dairy cattle.

    Hussni O. Mohammed;Korana Stipetic;Patrick L. McDonough;Ruben N. Gonzalez

  • Segregation or Use of Separate Milking Units for Cows Infected with Staphylococcus aureus: Effects on Prevalence of Infection and Bulk Tank Somatic Cell Count

    David J. Wilson;Ruben N. Gonzalez;Philip M. Sears

  • Microbiological Results from Milk Samples Obtained Premilking and Postmilking for the Diagnosis of Bovine lntramammary Infections

    Philip M. Sears;David J. Wilson;Ruben N. Gonzalez;Dale D. Hancock

  • The risk of Listeria monocytogenes infection in beef cattle operations.

    H. O. Mohammed;Edward R Atwill;L. Dunbar;T. Ward

  • Evaluation of methods for the diagnosis of Streptococcus agalactiae intramammary infections in dairy cattle.

    R. Page Dinsmore;Paul B. English;Ruben N. Gonzalez;Philip M. Sears

  • Vaccination strategies for reducing clinical severity of coliform mastitis.

    David J Wilson;Rubén N González

  • Multifactorial relationships between intramammary invasion by Staphylococcus aureus and bovine leukocyte markers.

    Ariel L. Rivas;Steven J. Schwager;Rubén N. González;Fred W. Quimby

  • Use of a dynamic programming model to estimate the value of clinical mastitis treatment and prevention options utilized by dairy producers

    D. Bar;L.W. Tauer;G. Bennett;R.N. González

  • REALISTIC MILK CULTURE PROGRAMS FOR HERD EXPANSION

    Rubén N. González;David J. Wilson

  • Relationships between the phagocytic ability of milk macrophages and polymorphonuclear cells and somatic cell counts in uninfected cows

    Ariel L Rivas;Rudolph Tadevosyan;Ronald C Gorewit;Kevin L Anderson

  • A placebo-controlledtrial of an Escherichia coli J5 bacterin and the ribotyping-based assessment ofcoliform bacteria diversity on a dairy farm

    R. N. Gonzalez;David J. Wilson;H. O. Mohammed;P. M. Sears

  • Where are we on mycoplasmal mastitis

    R. N. Gonzalez;David J. Wilson

  • Evaluation of milk culture, SCC and CMT for screening herdadditions

    David J. Wilson;R. N. Gonzalez

Frequent Co-Authors

David J. Wilson
David J. Wilson Utah State University
Gary J. Bennett
Gary J. Bennett McGill University
Ynte H. Schukken
Ynte H. Schukken Wageningen University & Research
Yrjö T. Gröhn
Yrjö T. Gröhn Cornell University
J.A. Hertl
J.A. Hertl Cornell University
Hussni O. Mohammed
Hussni O. Mohammed Cornell University
Loren W. Tauer
Loren W. Tauer Cornell University
Carl A. Batt
Carl A. Batt Cornell University
Ruth N. Zadoks
Ruth N. Zadoks University of Sydney
Edward R. Atwill
Edward R. Atwill University of California, Davis

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Related Online Degrees & Career Pathways

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Similarly, professionals aiming to enhance their understanding of family dynamics and relationship support might consider the best online MFT programs. These degrees offer critical insights that can be applied in community services involving animals and humans alike.

For advanced practitioners, enrolling in online doctoral programs in counseling allows for deeper research and leadership opportunities that intersect with animal-assisted therapy and veterinary social work.

Lastly, those focused strictly on animals can explore a wide range of options highlighted in careers with animals, which showcase thriving fields like wildlife conservation, animal behavior, and veterinary technology.

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