World's Best Scientists 2026 revealed!
Claudio Cipolat-Gotet

Claudio Cipolat-Gotet

D-Index & Metrics

Animal Science and Veterinary

D-Index
31
Citations
2398
World Ranking
2376
National Ranking
116

Claudio Cipolat-Gotet 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 Claudio Cipolat-Gotet 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: 98 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Claudio Cipolat-Gotet 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 Claudio Cipolat-Gotet 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

Claudio Cipolat-Gotet is affiliated with the University of Parma in Italy and has contributed extensively to research within the fields of Agricultural and Biological Sciences as well as Biochemistry, Genetics, and Molecular Biology. Their work intersects multiple subfields, including Genetics, Agronomy and Crop Science, Food Science, Animal Science and Zoology, and Analytical Chemistry.

The research topics covered by Cipolat-Gotet focus on genetic and phenotypic traits in livestock, milk quality and mastitis in dairy cows, probiotics and fermented foods, meat and animal product quality, genetic mapping and diversity in plants and animals, spectroscopy and chemometric analyses, and the effects of environmental stressors on livestock.

Recent publications by Cipolat-Gotet include:

  • Genomic inbreeding coefficients using imputed genotypes: Assessing different estimators in Holstein-Friesian dairy cows (2022), Journal of Dairy Science
  • Genetic Diversity in the Italian Holstein Dairy Cattle Based on Pedigree and SNP Data Prior and After Genomic Selection (2022), Frontiers in Veterinary Science
  • Differential Somatic Cell Count as a Novel Indicator of Milk Quality in Dairy Cows (2020), Animals
  • The mineral profile affects the coagulation pattern and cheese-making efficiency of bovine milk (2021), Journal of Dairy Science
  • Herd and animal factors affect the variability of total and differential somatic cell count in bovine milk (2022), Journal of Animal Science

Frequent co-authors who have collaborated with Cipolat-Gotet include:

  • Giorgia Stocco
  • Andrea Summer
  • Michela Ablondi
  • Christos Dadousis
  • Alberto Sabbioni

Cipolat-Gotet's research has been published predominantly in the Journal of Dairy Science, with 19 papers, followed by contributions to Food Chemistry, Frontiers in Veterinary Science, Journal of Animal Science, and Foods. This distribution of publication venues reflects a research focus on dairy science and animal-related food science topics.

The scientist's work frequently explores the genetic and environmental factors influencing livestock traits, with particular attention to milk quality indicators such as somatic cell count and mineral profiles affecting cheese-making efficiency. Their investigations also include analysis of probiotic foods and the genetic diversity within dairy cattle populations before and after genomic selection techniques were applied.

Best Publications

  • Factors affecting variation of different measures of cheese yield and milk nutrient recovery from an individual model cheese-manufacturing process

    C. Cipolat-Gotet;A. Cecchinato;M. De Marchi;G. Bittante

  • Comparison between mechanical and near-infrared methods for assessing coagulation properties of bovine milk

    C. Cipolat-Gotet;A. Cecchinato;M. De Marchi;M. Penasa

  • Breed of cow and herd productivity affect milk composition and modeling of coagulation, curd firming, and syneresis

    G. Stocco;C. Cipolat-Gotet;T. Bobbo;A. Cecchinato

  • Effect of dairy farming system, herd, season, parity, and days in milk on modeling of the coagulation, curd firming, and syneresis of bovine milk.

    G. Bittante;C. Cipolat-Gotet;F. Malchiodi;E. Sturaro

  • Genetic parameters of cheese yield and curd nutrient recovery or whey loss traits predicted using Fourier-transform infrared spectroscopy of samples collected during milk recording on Holstein, Brown Swiss, and Simmental dairy cows

    A. Cecchinato;A. Albera;C. Cipolat-Gotet;A. Ferragina

  • Genetic analysis of rennet coagulation time, curd-firming rate, and curd firmness assessed over an extended testing period using mechanical and near-infrared instruments

    A. Cecchinato;C. Cipolat-Gotet;J. Casellas;M. Penasa

  • Milk protein fractions strongly affect the patterns of coagulation, curd firming, and syneresis.

    Nicolò Amalfitano;Claudio Cipolat-Gotet;Alessio Cecchinato;Massimo Malacarne

  • Genetic parameters of different measures of cheese yield and milk nutrient recovery from an individual model cheese-manufacturing process

    G. Bittante;C. Cipolat-Gotet;A. Cecchinato

  • The nonlinear effect of somatic cell count on milk composition, coagulation properties, curd firmness modeling, cheese yield, and curd nutrient recovery

    Tania Bobbo;Claudio Cipolat-Gotet;Giovanni Bittante;Alessio Cecchinato

  • Phenotypic factors affecting coagulation properties of milk from Sarda ewes

    Michele Pazzola;Maria Luisa Dettori;Claudio Cipolat-Gotet;Alessio Cecchinato

  • Genomic inbreeding coefficients using imputed genotypes: Assessing different estimators in Holstein-Friesian dairy cows

    Unknown

  • Chemometric authentication of farming systems of origin of food (milk and ripened cheese) using infrared spectra, fatty acid profiles, flavor fingerprints, and sensory descriptions.

    Matteo Bergamaschi;Claudio Cipolat-Gotet;Alessio Cecchinato;Stefano Schiavon

  • Genetic Diversity in the Italian Holstein Dairy Cattle Based on Pedigree and SNP Data Prior and After Genomic Selection

    Unknown

  • Breed of cow and herd productivity affect milk nutrient recovery in curd, and cheese yield, efficiency and daily production.

    G. Stocco;C. Cipolat-Gotet;V. Gasparotto;A. Cecchinato

  • Variations in milk protein fractions affect the efficiency of the cheese-making process

    Claudio Cipolat-Gotet;Alessio Cecchinato;Massimo Malacarne;Giovanni Bittante

  • Cheese yield, cheesemaking efficiency, and daily production of 6 breeds of goats.

    Giuseppe M. Vacca;Giorgia Stocco;Maria L. Dettori;Andrea Summer

  • Differential Somatic Cell Count as a Novel Indicator of Milk Quality in Dairy Cows.

    Giorgia Stocco;Andrea Summer;Claudio Cipolat-Gotet;Lucio Zanini

  • Cheesemaking in highland pastures: Milk technological properties, cream, cheese and ricotta yields, milk nutrients recovery, and products composition.

    Matteo Bergamaschi;Claudio Cipolat-Gotet;Giorgia Stocco;C Valorz

  • Milk quality, coagulation properties, and curd firmness modeling of purebred Holsteins and first- and second-generation crossbred cows from Swedish Red, Montbéliarde, and Brown Swiss bulls

    F. Malchiodi;A. Cecchinato;M. Penasa;C. Cipolat-Gotet

  • Candidate gene association analysis for milk yield, composition, urea nitrogen and somatic cell scores in Brown Swiss cows.

    A. Cecchinato;C. Ribeca;S. Chessa;C. Cipolat-Gotet

  • Quality traits and modeling of coagulation, curd firming, and syneresis of sheep milk of Alpine breeds fed diets supplemented with rumen-protected conjugated fatty acid

    Giovanni Bittante;Erika Pellattiero;Francesca Malchiodi;Claudio Cipolat-Gotet

  • The 9-MilCA method as a rapid, partly automated protocol for simultaneously recording milk coagulation, curd firming, syneresis, cheese yield, and curd nutrients recovery or whey loss

    Claudio Cipolat-Gotet;Alessio Cecchinato;Giorgia Stocco;Giovanni Bittante

  • The use of Fourier-transform infrared spectroscopy to predict cheese yield and nutrient recovery or whey loss traits from unprocessed bovine milk samples.

    A. Ferragina;C. Cipolat-Gotet;A. Cecchinato;G. Bittante

Frequent Co-Authors

Giovanni Bittante
Giovanni Bittante University of Padua
Alessio Cecchinato
Alessio Cecchinato University of Padua
Michele Pazzola
Michele Pazzola University of Sassari
Giuseppe Massimo Vacca
Giuseppe Massimo Vacca University of Sassari
Maria Luisa Dettori
Maria Luisa Dettori University of Sassari
Stefano Schiavon
Stefano Schiavon University of Padua
Franco Tagliapietra
Franco Tagliapietra University of Padua
Stefano Schiavon
Stefano Schiavon University of California, Berkeley
Mauro Penasa
Mauro Penasa University of Padua
Franco Biasioli
Franco Biasioli Fondazione Edmund Mach

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Related Online Degrees & Career Pathways

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Additionally, leadership roles such as an athletic director, though not directly linked to veterinary medicine, share similar management and organizational skills. Learning how much do athletic directors make can inspire those considering administrative or program coordination roles within animal science organizations or sports management involving animals.

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