Giovanni Bittante

9.1k total citations
314 papers, 7.4k citations indexed

About

Giovanni Bittante is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, Giovanni Bittante has authored 314 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 200 papers in Agronomy and Crop Science, 186 papers in Genetics and 126 papers in Animal Science and Zoology. Recurrent topics in Giovanni Bittante's work include Genetic and phenotypic traits in livestock (181 papers), Milk Quality and Mastitis in Dairy Cows (110 papers) and Meat and Animal Product Quality (77 papers). Giovanni Bittante is often cited by papers focused on Genetic and phenotypic traits in livestock (181 papers), Milk Quality and Mastitis in Dairy Cows (110 papers) and Meat and Animal Product Quality (77 papers). Giovanni Bittante collaborates with scholars based in Italy, United States and Mexico. Giovanni Bittante's co-authors include Alessio Cecchinato, Claudio Cipolat‐Gotet, Massimo De Marchi, Mauro Penasa, Stefano Schiavon, Luigi Gallo, Martino Cassandro, R. Dal Zotto, Paolo Carnier and Giorgia Stocco and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Giovanni Bittante

308 papers receiving 7.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Giovanni Bittante Italy 46 4.5k 4.0k 3.0k 1.9k 803 314 7.4k
Alessio Cecchinato Italy 42 3.3k 0.7× 2.9k 0.7× 2.2k 0.7× 1.5k 0.8× 694 0.9× 236 5.5k
Martino Cassandro Italy 43 2.6k 0.6× 3.1k 0.8× 2.6k 0.9× 1.1k 0.6× 862 1.1× 292 5.9k
Mauro Penasa Italy 39 2.7k 0.6× 2.2k 0.6× 2.0k 0.7× 986 0.5× 533 0.7× 213 4.7k
Nicolas Gengler Belgium 41 3.3k 0.7× 4.4k 1.1× 2.8k 0.9× 296 0.2× 366 0.5× 359 6.4k
N.D. Scollan United Kingdom 51 4.6k 1.0× 1.6k 0.4× 3.7k 1.3× 664 0.3× 1.0k 1.3× 167 8.3k
Veerle Fievez Belgium 45 4.2k 0.9× 1.5k 0.4× 1.6k 0.5× 542 0.3× 839 1.0× 220 6.4k
Hélène Soyeurt Belgium 34 2.0k 0.5× 2.0k 0.5× 1.5k 0.5× 286 0.2× 263 0.3× 151 3.6k
R. Roehe United Kingdom 39 1.8k 0.4× 2.0k 0.5× 2.4k 0.8× 304 0.2× 1.2k 1.5× 159 5.6k
Marcello Mele Italy 41 2.4k 0.5× 1.3k 0.3× 1.6k 0.5× 617 0.3× 683 0.9× 238 5.3k
P. C. Garnsworthy United Kingdom 37 4.1k 0.9× 2.4k 0.6× 1.6k 0.5× 297 0.2× 312 0.4× 191 5.6k

Countries citing papers authored by Giovanni Bittante

Since Specialization
Citations

This map shows the geographic impact of Giovanni Bittante's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Giovanni Bittante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Bittante more than expected).

Fields of papers citing papers by Giovanni Bittante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giovanni Bittante. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Giovanni Bittante. The network helps show where Giovanni Bittante may publish in the future.

Co-authorship network of co-authors of Giovanni Bittante

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Bittante. A scholar is included among the top collaborators of Giovanni Bittante based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giovanni Bittante. Giovanni Bittante is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Giannuzzi, Diana, et al.. (2024). Review of equations to predict methane emissions in dairy cows from milk fatty acid profiles and their application to commercial dairy farms. Journal of Dairy Science. 107(8). 5833–5852. 2 indexed citations
2.
Amalfitano, Nicolò, Michele Pazzola, Giuseppe Massimo Vacca, et al.. (2024). Detailed mineral profile of milk, whey, and cheese from cows, buffaloes, goats, ewes, and dromedary camels, and efficiency of recovery of minerals in their cheese. Journal of Dairy Science. 107(11). 8887–8907. 10 indexed citations
3.
Bittante, Giovanni, Lucia Bailoni, Alessio Cecchinato, et al.. (2022). The History of the School of Animal Science at the University of Padova (Padua) and the Evolution of Animal Science in Italy. Agriculture. 12(7). 902–902.
4.
Mota, Lúcio Flávio Macêdo, Sara Pegolo, Gota Morota, et al.. (2021). Comparison of Single-Breed and Multi-Breed Training Populations for Infrared Predictions of Novel Phenotypes in Holstein Cows. Animals. 11(7). 1993–1993. 6 indexed citations
5.
Pegolo, Sara, Cristina Sartori, Hugo Toledo-Alvarado, et al.. (2021). Genetic correlations between fertility traits and milk composition and fatty acids in Holstein-Friesian, Brown Swiss, and Simmental cattle using recursive models. Journal of Dairy Science. 104(6). 6832–6846. 5 indexed citations
6.
Toledo-Alvarado, Hugo, María Ángeles Pérez-Cabal, Robert J. Tempelman, et al.. (2021). Association between days open and milk spectral data in dairy cows. Journal of Dairy Science. 104(3). 3665–3675. 14 indexed citations
8.
Pegolo, Sara, Gota Morota, Vittoria Bisutti, et al.. (2021). Structural equation modeling for unraveling the multivariate genomic architecture of milk proteins in dairy cattle. Journal of Dairy Science. 104(5). 5705–5718. 11 indexed citations
9.
Cecchinato, Alessio, et al.. (2020). Volatile fingerprinting of ripened cheese for authentication and characterisation of different dairy systems. Italian Journal of Animal Science. 19(1). 173–185. 5 indexed citations
10.
Toledo-Alvarado, Hugo, et al.. (2020). Predicting the Content of 20 Minerals in Beef by Different Portable Near-Infrared (NIR) Spectrometers. Foods. 9(10). 1389–1389. 15 indexed citations
11.
Cipolat‐Gotet, Claudio, M. Malacarne, Andrea Summer, Alessio Cecchinato, & Giovanni Bittante. (2020). Modeling weight loss of cheese during ripening and the influence of dairy system, parity, stage of lactation, and composition of processed milk. Journal of Dairy Science. 103(8). 6843–6857. 11 indexed citations
12.
Bittante, Giovanni & Alessio Cecchinato. (2019). Heritability estimates of enteric methane emissions predicted from fatty acid profiles, and their relationships with milk composition, cheese-yield and body size and condition. Italian Journal of Animal Science. 19(1). 114–126. 16 indexed citations
13.
Pegolo, Sara, Núria Mach, Yuliaxis Ramayo‐Caldas, et al.. (2018). Integration of GWAS, pathway and network analyses reveals novel mechanistic insights into the synthesis of milk proteins in dairy cows. Scientific Reports. 8(1). 566–566. 41 indexed citations
14.
Cipolat‐Gotet, Claudio, Alessio Cecchinato, M. Malacarne, Giovanni Bittante, & Andrea Summer. (2018). Variations in milk protein fractions affect the efficiency of the cheese-making process. Journal of Dairy Science. 101(10). 8788–8804. 43 indexed citations
15.
Bobbo, Tania, Enrico Fiore, Matteo Gianesella, et al.. (2017). Variation in blood serum proteins and association with somatic cell count in dairy cattle from multi-breed herds. animal. 11(12). 2309–2319. 59 indexed citations
16.
Gallo, Luigi, Enrico Sturaro, & Giovanni Bittante. (2016). Body traits, carcass characteristics and price of cull cows as affected by farm type, breed, age and calving to culling interval. animal. 11(4). 696–704. 19 indexed citations
17.
Grigoletto, Luca, et al.. (2011). A Comparison among Analytical Methods to Assess Fatty Acids and Conjugated Linoleic Acids (CLA) Content and Repeatability of Ruminant Faeces. University of Zagreb University Computing Centre (SRCE). 76(4). 349–352. 3 indexed citations
18.
Schiavon, Stefano, Massimo De Marchi, Franco Tagliapietra, et al.. (2011). Effect of high or low protein ration combined or not with rumen protected conjugated linoleic acid (CLA) on meat CLA content and quality traits of double-muscled Piemontese bulls. Meat Science. 89(2). 133–142. 42 indexed citations
19.
Tiezzi, Francesco, Christian Maltecca, Mauro Penasa, et al.. (2011). Genetic analysis of fertility in the Italian Brown Swiss population using different models and trait definitions. Journal of Dairy Science. 94(12). 6162–6172. 27 indexed citations
20.
Cassandro, Martino, F. Canavesi, Paolo Carnier, et al.. (1996). Trend of within country sire variance and potential impact on international evaluations for production traits. Research Padua Archive (University of Padua). 14(14). 12–17. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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