G. Molle
- Agronomy and Crop Science top 0.2%
- Ruminant Nutrition and Digestive Physiology 66
- Reproductive Physiology in Livestock 26
- Animal Science and Zoology top 0.5%
- Effects of Environmental Stressors on Livestock 12
- Meat and Animal Product Quality 10
- Animal Nutrition and Physiology 7
- Forestry top 1%
- Pasture and Agricultural Systems 6
- Nutrition and Dietetics top 2%
- Fatty Acid Research and Health 10
- Small Animals top 2%
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- Genetic and phenotypic traits in livestock 41
G. Molle
89 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 113
- Agronomy and Crop Science 1.4k
- Animal Science and Zoology 786
- Forestry 185
- Nutrition and Dietetics 479
- Small Animals 195
Countries citing papers authored by G. Molle
This map shows the geographic impact of G. Molle'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. Molle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Molle more than expected).
Fields of papers citing papers by G. Molle
This network shows the impact of papers produced by G. Molle. 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. Molle. The network helps show where G. Molle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. Molle, 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 | 2023 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 17 | |
| 4 | 2022 | 0 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 7 | |
| 9 | 2020 | 19 | |
| 10 | 2019 | 45 | |
| 11 | 2019 | 10 | |
| 12 | 2018 | 4 | |
| 13 | 2011 | 3 | |
| 14 | 2006 | 26 | |
| 15 | Diet preference of lactating sarda ewes for annual ryegrass and sulla | 2004 | 9 |
| 16 | Foraging behaviour of sheep rotationally grazing annual ryegrass (Lolium rigidum Gaudin) | 2004 | 2 |
| 17 | The effect of different legume-based pastures on the fatty acid composition of sheep milk with focus on CLA. | 2004 | 11 |
| 18 | Low input animal production based on forage legumes for grazing systems | 2002 | 1 |
| 19 | 2000 | 23 | |
| 20 | Effect of photoperiod on milk yield, milk composition and voluntary food intake in lactating dairy ewes | 1997 | 7 |
About G. Molle
G. Molle is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Forestry, Genetics and Nutrition and Dietetics, having authored 91 papers that have together received 2.4k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (66 papers), Genetic and phenotypic traits in livestock (41 papers), Reproductive Physiology in Livestock (26 papers), Effects of Environmental Stressors on Livestock (12 papers), Meat and Animal Product Quality (10 papers), Fatty Acid Research and Health (10 papers), Animal Nutrition and Physiology (7 papers) and Pasture and Agricultural Systems (6 papers). The work is most often cited by research in Agronomy and Crop Science (1.4k citations), Animal Science and Zoology (786 citations), Forestry (185 citations), Nutrition and Dietetics (479 citations) and Small Animals (195 citations). G. Molle has collaborated with scholars based in Italy, Israel and Spain. Frequent co-authors include M. Decandia, A. Cabiddu, M. Sitzia, Margherita Addis, Giovanni Piredda, Arianna Buccioni, Sara Minieri, A. Pirisi, S. Landau and A. Cannas. Their work appears in journals such as Small Ruminant Research, Livestock Science, Italian Journal of Animal Science, Animals and Grass and Forage 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.