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Ruben N. Gonzalez

Ruben N. Gonzalez

D-Index & Metrics

Discipline name D-Index World Ranking National Ranking Publications Citations
Animal Science and Veterinary 31 2226 626 103 5627

Ruben N. Gonzalez publications per year

The chart shows the history of publications by Ruben N. Gonzalez between 1989 and 2011, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ruben N. Gonzalez published across 23 years, from 1989 to 2011, averaging 4.6 papers a year. Output peaked at 11 publications in 1996. 4 of the 106 publications appeared in the last two years.

No. of publications
2 4 6 8 10
Bar chart. Horizontal axis: year, 1989 to 2011. Vertical axis: number of publications, 0 to 11. Peak 11 publications in 1996. 1989: 1 publication 1990: 3 publications 1991: 3 publications 1992: 4 publications 1993: 5 publications 1994: 7 publications 1995: 9 publications 1996: 11 publications 1997: 7 publications 1998: 7 publications 1999: 2 publications 2000: 6 publications 2001: 8 publications 2002: 2 publications 2003: 5 publications 2004: 5 publications 2005: 1 publication 2006: 2 publications 2007: 6 publications 2008: 5 publications 2009: 3 publications 2010: 2 publications 2011: 2 publications
1989 2011

106 publications in total across all disciplines

View publications per year as a table
Ruben N. Gonzalez: publications per year, 1989 to 2011
Year Publications
1989 1
1990 3
1991 3
1992 4
1993 5
1994 7
1995 9
1996 11
1997 7
1998 7
1999 2
2000 6
2001 8
2002 2
2003 5
2004 5
2005 1
2006 2
2007 6
2008 5
2009 3
2010 2
2011 2
Total 106
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Ruben N. Gonzalez publications per year - data summary

  • Ruben N. Gonzalez, a Animal Science and Veterinary scholar from Cornell University, has 106 publications recorded across 23 years, from 1989 to 2011.
  • The oldest publication on record dates to 1989 and the most recent to 2011.
  • The most productive year is 1996, with 11 publications.
  • The least productive years with any output are 1989 and 2005, with 1 publication each.
  • The rate of publication averages 4.6 papers per year over the whole span, or 4.6 per year counting only the 23 years with at least one publication.
  • The last 5 years on the chart (2007-2011) hold 18 publications, 17% of the career total.
  • Split into equal eras - 1989-1996: 43 publications (5.4 per year); 1997-2004: 42 publications (5.3 per year); 2005-2011: 21 publications (3.0 per year).
  • Comparing the opening and closing eras, the overall trend of publication is declining.

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.

No. of scientists
25 50 75 100
Bar chart with 84 bars. Horizontal axis: publications, 29–33 to 442+. Vertical axis: number of scientists, 0 to 109. Most scientists, 109, have 119–123 publications. The last bar groups every scientist with 442 publications or more. The highlighted bar, 99–103 publications, is where this scientist sits. 29–33 publications: 1 scientist 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
29–33 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.

View publications distribution as a table
Number of Animal Science and Veterinary scientists by publication count, Research.com 2026 ranking edition. Based on 3,155 ranked scientists.
Publications Scientists This scientist
29–33 1
34–38 6
39–43 17
44–48 23
49–53 28
54–58 44
59–63 66
64–68 75
69–73 71
74–78 85
79–83 108
84–88 105
89–93 84
94–98 103
99–103 97 103
104–108 95
109–113 89
114–118 88
119–123 109
124–128 93
129–133 89
134–138 95
139–143 92
144–148 80
149–153 75
154–158 74
159–163 67
164–168 53
169–173 62
174–178 63
179–183 50
184–188 55
189–193 50
194–198 27
199–203 44
204–208 31
209–213 28
214–218 38
219–223 33
224–228 36
229–233 29
234–238 35
239–243 23
244–248 24
249–253 29
254–258 28
259–263 21
264–268 25
269–273 11
274–278 18
279–283 13
284–288 18
289–293 10
294–298 12
299–303 11
304–308 15
309–313 14
314–318 14
319–323 8
324–328 8
329–333 13
334–338 14
339–343 13
344–348 10
349–353 11
354–358 5
359–363 8
364–368 8
369–373 6
374–378 7
379–383 8
384–388 3
389–393 4
394–398 5
399–403 8
404–408 5
409–413 4
414–418 3
419–423 8
424–428 5
429–433 3
434–438 5
439–441 5
442+ 99
Download as CSV

Ruben N. Gonzalez publication distribution in Animal Science and Veterinary in 2026 - data summary

  • The chart plots the publication count of all 3,155 Animal Science and Veterinary scientists ranked by Research.com in 2026, grouped into 84 ranges running from 29–33 to 442+ publications.
  • Ruben N. Gonzalez, a Animal Science and Veterinary scholar from Cornell University, records 103 publications - the 29th percentile of the discipline.
  • 29% of ranked Animal Science and Veterinary scientists score the same or lower than Ruben N. Gonzalez, and about 71% score higher.
  • The median of the discipline falls in the 139–143 publications range, and Ruben N. Gonzalez ranks below the median.
  • The most crowded range is 119–123 publications, holding 109 scientists (3% of the field).
  • 47% of the field sits in the lowest quarter of the value range (up to 129–133 publications), so the distribution leans towards the lower end of the scale.
  • The final bar has no upper bound: it groups every scientist with 442 publications or more, 99 scientists in all (3% of the field).

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.

No. of scientists
50 100 150
Bar chart with 58 bars. Horizontal axis: D-Index, 20 to 77+. Vertical axis: number of scientists, 0 to 158. Most scientists, 158, have 31 D-Index. The last bar groups every scientist with 77 D-Index or more. The highlighted bar, 31 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Animal Science and Veterinary scientists by D-index, Research.com 2026 ranking edition. Based on 3,155 ranked scientists.
D-Index Scientists This scientist
20 5
21 22
22 31
23 44
24 53
25 66
26 80
27 101
28 106
29 116
30 154
31 158 31
32 143
33 137
34 126
35 134
36 112
37 115
38 105
39 111
40 107
41 87
42 74
43 62
44 61
45 41
46 51
47 43
48 28
49 47
50 40
51 34
52 33
53 43
54 16
55 32
56 21
57 18
58 28
59 33
60 17
61 21
62 18
63 21
64 9
65 20
66 11
67 16
68 12
69 17
70 13
71 15
72 11
73 11
74 14
75 5
76 6
77+ 100
Download as CSV

Ruben N. Gonzalez D-index placement in Animal Science and Veterinary in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 3,155 Animal Science and Veterinary scientists ranked by Research.com in 2026, grouped into 58 ranges running from 20 to 77+ D-Index.
  • Ruben N. Gonzalez, a Animal Science and Veterinary scholar from Cornell University, records 31 D-Index - the 30th percentile of the discipline.
  • 30% of ranked Animal Science and Veterinary scientists score the same or lower than Ruben N. Gonzalez, and about 70% score higher.
  • The median of the discipline falls in the 36 D-Index range, and Ruben N. Gonzalez ranks below the median.
  • The most crowded range is 31 D-Index, holding 158 scientists (5% of the field).
  • 43% of the field sits in the lowest quarter of the value range (up to 34 D-Index), so the distribution leans towards the lower end of the scale.
  • The final bar has no upper bound: it groups every scientist with 77 D-Index or more, 100 scientists in all (3% of the field).

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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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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