D-Index & Metrics Best Publications

Mauro Penasa

University of Padua
Italy

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Animal Science and Veterinary D-index 32 Citations 4,178 186 World Ranking 901 National Ranking 36

Overview

What is he best known for?

The fields of study he is best known for:

Statistics
Food science
Biochemistry

His primary areas of study are Brown Swiss, Rennet, Animal science, Food science and Analytical chemistry. Mauro Penasa has researched Brown Swiss in several fields, including Chymosin and Bovine milk. Rennet is a subfield of Casein that Mauro Penasa investigates.

His Casein research focuses on Heritability and how it connects with Genetic correlation, Lactation and Repeatability. His Animal science research focuses on Breed and Herd. Mauro Penasa works mostly in the field of Food science, limiting it down to concerns involving Mid infrared spectroscopy and, occasionally, Population level and Biotechnology.

His most cited work include:

Invited review: Mid-infrared spectroscopy as phenotyping tool for milk traits1 (170 citations)
Invited review: Genetics and modeling of milk coagulation properties. (149 citations)
Prediction of coagulation properties, titratable acidity, and pH of bovine milk using mid-infrared spectroscopy (124 citations)

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

His main research concerns Animal science, Breed, Herd, Lactation and Food science. His study in Animal science is interdisciplinary in nature, drawing from both Rennet, Ice calving and Heritability. His work deals with themes such as Chymosin, Titratable acid and Holstein Friesian cattle, which intersect with Rennet.

His research integrates issues of Genetic correlation and Genetic variation in his study of Heritability. Many of his research projects under Food science are closely connected to Composition with Composition, tying the diverse disciplines of science together. His biological study deals with issues like Sire, which deal with fields such as Artificial insemination.

He most often published in these fields:

Animal science (50.85%)
Breed (23.16%)
Herd (22.60%)

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

Animal science (50.85%)
Lactation (22.60%)
Herd (22.60%)

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

Animal science, Lactation, Herd, Udder and Breed are his primary areas of study. His Animal science study combines topics in areas such as Casein, Somatic cell count, Lactose and Heritability. His Casein study focuses on Rennet in particular.

He interconnects Partial least squares regression and Titratable acid in the investigation of issues within Rennet. Mauro Penasa has included themes like NEFA, Coefficient of determination and Brown Swiss in his Lactation study. The concepts of his Breed study are interwoven with issues in Jersey cattle and Phenotypic analysis.

Between 2017 and 2021, his most popular works were:

Invited review: Milk lactose-Current status and future challenges in dairy cattle. (21 citations)
Genetic associations of lactose and its ratios to other milk solids with health traits in Austrian Fleckvieh cows. (20 citations)
Invited review: Use of infrared technologies for the assessment of dairy products-Applications and perspectives. (19 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

At-line prediction of fatty acid profile in chicken breast using near infrared reflectance spectroscopy.

M. De Marchi;R. Riovanto;M. Penasa;M. Cassandro.
Meat Science (2012)

451 Citations

Invited review: Mid-infrared spectroscopy as phenotyping tool for milk traits

M. De Marchi;V. Toffanin;M. Cassandro;M. Penasa.
Journal of Dairy Science (2014)

276 Citations

Invited review: Genetics and modeling of milk coagulation properties.

Giovanni Bittante;Mauro Penasa;Alessio Cecchinato.
Journal of Dairy Science (2012)

231 Citations

Prediction of coagulation properties, titratable acidity, and pH of bovine milk using mid-infrared spectroscopy

M. De Marchi;Colette C. Fagan;C. P. O'Donnell;A. Cecchinato.
Journal of Dairy Science (2009)

176 Citations

Dairy systems in mountainous areas: Farm animal biodiversity, milk production and destination, and land use

E. Sturaro;E. Marchiori;G. Cocca;M. Penasa.
Livestock Science (2013)

131 Citations

Reproducibility and repeatability of measures of milk coagulation properties and predictive ability of mid-infrared reflectance spectroscopy.

R. Dal Zotto;M. De Marchi;A. Cecchinato;M. Penasa.
Journal of Dairy Science (2008)

116 Citations

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

C. Cipolat-Gotet;A. Cecchinato;M. De Marchi;M. Penasa.
Journal of Dairy Science (2012)

102 Citations

Genetic parameters of coagulation properties, milk yield, quality, and acidity estimated using coagulating and noncoagulating milk information in Brown Swiss and Holstein-Friesian cows

A. Cecchinato;M. Penasa;M. De Marchi;L. Gallo.
Journal of Dairy Science (2011)

91 Citations

Effectiveness of mid-infrared spectroscopy to predict fatty acid composition of Brown Swiss bovine milk.

M. De Marchi;M. Penasa;A. Cecchinato;M. Mele.
Animal (2011)

88 Citations

Effect of milk composition and coagulation traits on Grana Padano cheese yield under field conditions.

Denis Pretto;Massimo De Marchi;Mauro Penasa;Martino Cassandro.
Journal of Dairy Research (2013)

82 Citations

If you think any of the details on this page are incorrect, let us know.