Giovanni Bittante

9.1k citations
314 papers · 7.4k indexed · h-index 46
Topics
Genetic and phenotypic traits in livestock (181 papers)Milk Quality and Mastitis in Dairy Cows (110 papers)Meat and Animal Product Quality (77 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Agricultural and Food Chemistry
Partner nations
ItalyUnited StatesMexico

In The Last Decade

Giovanni Bittante

308 papers receiving 7.1k citations

Peers

Giovanni Bittante
Comparison fields: 5 of 139
  • Agronomy and Crop Science 4.5k
  • Genetics 4.0k
  • Animal Science and Zoology 3.0k
  • Food Science 1.9k
  • Molecular Biology 803
Replace Mauro Penasa with:
Mauro Penasa Italy
Martino Cassandro Italy
Alessio Cecchinato Italy
Nicolas Gengler Belgium
N.D. Scollan United Kingdom
R. Roehe United Kingdom
Veerle Fievez Belgium
Hélène Soyeurt Belgium
Marcello Mele Italy
P. C. Garnsworthy United Kingdom
Giovanni Bittante relative to Mauro Penasa Italy Mauro Penasa's profile →
Citations per field
00.5×1.5×1.9×
Mauro Penasa · 1×
Citations per year

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
#WorkIndexed citations
1 10
2 10
3 15
4 2
5 2
6 5
7 7
8 25
9 14
10 11
11 6
12 8
13 11
14 13
15 27
16 25
17 8
18 6
19 2
20
Collecting functional traits in dairy herds: overview of a progam currently running in Italy
5

About Giovanni Bittante

Giovanni Bittante is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics, having authored 314 papers that have together received 7.4k indexed citations. Recurring topics across this 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). The work is most often cited by research in Agronomy and Crop Science (4.5k citations), Animal Science and Zoology (3.0k citations) and Genetics (4.0k citations). Giovanni Bittante has collaborated with scholars based in Italy, United States and Mexico. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

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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