G. Catillo
Impact in
- Agronomy and Crop Science top 2%
- Milk Quality and Mastitis in Dairy Cows
- Ruminant Nutrition and Digestive Physiology
- Reproductive Physiology in Livestock
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
- Effects of Environmental Stressors on Livestock
Papers in
- Genetics 39
- Genetic and phenotypic traits in livestock 36
- Genetic Mapping and Diversity in Plants and Animals 16
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- Meat and Animal Product Quality 14
- Effects of Environmental Stressors on Livestock 8
- Co-authors
- B. Moioli (37 shared papers)F. Napolitano (32 shared papers)Giovanna De Matteis (18 shared papers)Luigi Orrù (12 shared papers)Roberto Steri (14 shared papers)Maria Carmela Scatà (16 shared papers)N.P.P. Macciotta (3 shared papers)A. Cappio-Borlino (2 shared papers)
In The Last Decade
G. Catillo
60 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Agronomy and Crop Science 390
- Animal Science and Zoology 341
- Genetics 704
- Small Animals 102
- Biochemistry 64
Countries citing papers authored by G. Catillo
This map shows the geographic impact of G. Catillo'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 G. Catillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Catillo more than expected).
Fields of papers citing papers by G. Catillo
This network shows the impact of papers produced by G. Catillo. 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 G. Catillo. The network helps show where G. Catillo may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Catillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 85 | |
| 2 | 2002 | 82 | |
| 3 | 2014 | 73 | |
| 4 | 2001 | 57 | |
| 5 | 2020 | 55 | |
| 6 | 2008 | 49 | |
| 7 | 2010 | 41 | |
| 8 | 2013 | 38 | |
| 9 | 2009 | 36 | |
| 10 | 2018 | 35 | |
| 11 | 2010 | 32 | |
| 12 | 2005 | 32 | |
| 13 | 2006 | 29 | |
| 14 | 2015 | 28 | |
| 15 | 2009 | 27 | |
| 16 | 2013 | 25 | |
| 17 | 2008 | 25 | |
| 18 | 2013 | 24 | |
| 19 | 2016 | 21 | |
| 20 | 2005 | 20 |
About G. Catillo
G. Catillo is a scholar working on Genetics, Animal Science and Zoology, Agronomy and Crop Science, Molecular Biology and Small Animals, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (36 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers), Meat and Animal Product Quality (14 papers), Reproductive Physiology in Livestock (12 papers), Effects of Environmental Stressors on Livestock (8 papers), Lipid metabolism and biosynthesis (5 papers), Ruminant Nutrition and Digestive Physiology (5 papers) and Milk Quality and Mastitis in Dairy Cows (5 papers). The work is most often cited by research in Agronomy and Crop Science (390 citations), Animal Science and Zoology (341 citations), Genetics (704 citations), Small Animals (102 citations) and Biochemistry (64 citations). G. Catillo has collaborated with scholars based in Italy, Greece and Ireland. Frequent co-authors include B. Moioli, F. Napolitano, Giovanna De Matteis, Luigi Orrù, Roberto Steri, Maria Carmela Scatà, N.P.P. Macciotta, A. Cappio-Borlino, Giovanna Contarini and Federica Signorelli. Their work appears in journals such as Small Ruminant Research, Meat Science, Italian Journal of Animal Science, animal and Journal of Dairy 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.