G. Galassi
- Agronomy and Crop Science top 1%
- Ruminant Nutrition and Digestive Physiology 27
- Reproductive Physiology in Livestock 6
- Animal Science and Zoology top 2%
- Animal Nutrition and Physiology 24
- Meat and Animal Product Quality 12
- Rabbits: Nutrition, Reproduction, Health 4
- Forestry top 5%
- Small Animals top 5%
- Animal Behavior and Welfare Studies 10
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- Genetic and phenotypic traits in livestock 10
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- Agriculture Sustainability and Environmental Impact 10
G. Galassi
54 papers receiving 970 citations
Peers
Comparison fields: 5 of 91
- Agronomy and Crop Science 487
- Animal Science and Zoology 351
- Forestry 66
- Small Animals 99
- Process Chemistry and Technology 24
Countries citing papers authored by G. Galassi
This map shows the geographic impact of G. Galassi'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. Galassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Galassi more than expected).
Fields of papers citing papers by G. Galassi
This network shows the impact of papers produced by G. Galassi. 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. Galassi. The network helps show where G. Galassi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. Galassi, 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 | 2024 | 8 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 20 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 17 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 30 | |
| 11 | 2020 | 6 | |
| 12 | 2019 | 10 | |
| 13 | 2019 | 15 | |
| 14 | 2012 | 41 | |
| 15 | 2011 | 0 | |
| 16 | 2010 | 18 | |
| 17 | Milk production and nitrogen excretion of cows fed diets with differing starch/protein ratios. | 2010 | 3 |
| 18 | Intake, milk production and nitrogen balance of goats fed diets with differing energy content in early lactation. | 2010 | 1 |
| 19 | Xylanase and benzoic acid in the fattening heavy pig: effects on growth performance and on nitrogen and energy balance. | 2010 | 3 |
| 20 | 2006 | 106 |
About G. Galassi
G. Galassi is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Small Animals, Applied Microbiology and Biotechnology and Ecology, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (27 papers), Animal Nutrition and Physiology (24 papers), Meat and Animal Product Quality (12 papers), Genetic and phenotypic traits in livestock (10 papers), Agriculture Sustainability and Environmental Impact (10 papers), Animal Behavior and Welfare Studies (10 papers), Reproductive Physiology in Livestock (6 papers) and Rabbits: Nutrition, Reproduction, Health (4 papers). The work is most often cited by research in Agronomy and Crop Science (487 citations), Animal Science and Zoology (351 citations), Forestry (66 citations), Small Animals (99 citations) and Process Chemistry and Technology (24 citations). G. Galassi has collaborated with scholars based in Italy, United States and Hungary. Frequent co-authors include G. M. Crovetto, L. Rapetti, S. Colombini, L. Malagutti, A. Tamburini, G. Borreani, Ernesto Tabacco, A. Sandrucci, Laura Cavallarin and Enza Di Modugno. Their work appears in journals such as Italian Journal of Animal Science, Animals, Journal of Dairy Science, Journal of Animal Science and Animal Feed Science and Technology.
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.