Claudio Cipolat‐Gotet
- Agronomy and Crop Science top 0.2%
- Milk Quality and Mastitis in Dairy Cows 68
- Ruminant Nutrition and Digestive Physiology 13
- Reproductive Physiology in Livestock 10
- Animal Science and Zoology top 0.5%
- Meat and Animal Product Quality 19
- Food Science top 1%
- Probiotics and Fermented Foods 30
- Animal Diversity and Health Studies 11
- Genetics top 2%
- Genetic and phenotypic traits in livestock 52
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses 9
Claudio Cipolat‐Gotet
86 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 73
- Agronomy and Crop Science 1.3k
- Animal Science and Zoology 641
- Food Science 752
- Genetics 1.0k
- Analytical Chemistry 185
Countries citing papers authored by Claudio Cipolat‐Gotet
This map shows the geographic impact of Claudio Cipolat‐Gotet'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 Claudio Cipolat‐Gotet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Cipolat‐Gotet more than expected).
Fields of papers citing papers by Claudio Cipolat‐Gotet
This network shows the impact of papers produced by Claudio Cipolat‐Gotet. 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 Claudio Cipolat‐Gotet. The network helps show where Claudio Cipolat‐Gotet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claudio Cipolat‐Gotet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 22 | |
| 13 | 2022 | 1 | |
| 14 | 2021 | 25 | |
| 15 | 2020 | 11 | |
| 16 | 2020 | 36 | |
| 17 | 2019 | 15 | |
| 18 | 2019 | 17 | |
| 19 | 2019 | 15 | |
| 20 | Effects of Crossbreeding of Holsteins Cows with Montbéliarde and Swedish Red in First and Second Generation on Cheese Yield Traits | 2017 | 3 |
About Claudio Cipolat‐Gotet
Claudio Cipolat‐Gotet is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Food Science, having authored 93 papers that have together received 1.9k indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (68 papers), Genetic and phenotypic traits in livestock (52 papers), Probiotics and Fermented Foods (30 papers), Meat and Animal Product Quality (19 papers), Ruminant Nutrition and Digestive Physiology (13 papers), Animal Diversity and Health Studies (11 papers), Reproductive Physiology in Livestock (10 papers) and Spectroscopy and Chemometric Analyses (9 papers). The work is most often cited by research in Agronomy and Crop Science (1.3k citations), Animal Science and Zoology (641 citations) and Food Science (752 citations). Claudio Cipolat‐Gotet has collaborated with scholars based in Italy, Spain and Ireland. Frequent co-authors include Giovanni Bittante, Alessio Cecchinato, Giorgia Stocco, Giuseppe Massimo Vacca, Michele Pazzola, Andrea Summer, Maria Luisa Dettori, Massimo De Marchi, Alessandro Ferragina and Tania Bobbo. Their work appears in journals such as Journal of Dairy Science, Food Chemistry, animal, Foods and Frontiers in Veterinary Science.
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.