Mina Martini
Impact in
- Equine top 0.5%
- Veterinary Equine Medical Research
- Agronomy and Crop Science top 1%
- Milk Quality and Mastitis in Dairy Cows
- Ruminant Nutrition and Digestive Physiology
Papers in
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- Milk Quality and Mastitis in Dairy Cows 29
- Reproductive Physiology in Livestock 11
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- Meat and Animal Product Quality 16
- Effects of Environmental Stressors on Livestock 11
- Co-authors
- Federica Salari (89 shared papers)Iolanda Altomonte (63 shared papers)Rosario Licitra (14 shared papers)Francesca Cecchi (24 shared papers)Simona Nardoni (9 shared papers)Amanda Marília da Silva Sant’Ana (6 shared papers)Marcello Mele (3 shared papers)Flávio Luiz Honorato da Silva (2 shared papers)
In The Last Decade
Mina Martini
119 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 95
- Equine 248
- Agronomy and Crop Science 491
- Animal Science and Zoology 356
- Food Science 511
- Nutrition and Dietetics 389
Countries citing papers authored by Mina Martini
This map shows the geographic impact of Mina Martini'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 Mina Martini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mina Martini more than expected).
Fields of papers citing papers by Mina Martini
This network shows the impact of papers produced by Mina Martini. 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 Mina Martini. The network helps show where Mina Martini may publish in the future.
Co-authors
The 25 scholars most cited alongside Mina Martini, 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 99 | |
| 2 | 2018 | 74 | |
| 3 | 2018 | 71 | |
| 4 | 2013 | 65 | |
| 5 | 2019 | 55 | |
| 6 | 2021 | 49 | |
| 7 | 2014 | 46 | |
| 8 | 2017 | 45 | |
| 9 | 2019 | 45 | |
| 10 | 2014 | 43 | |
| 11 | 2015 | 43 | |
| 12 | 2016 | 41 | |
| 13 | 2014 | 35 | |
| 14 | 2018 | 34 | |
| 15 | 2019 | 33 | |
| 16 | 2017 | 31 | |
| 17 | 2016 | 28 | |
| 18 | 2010 | 25 | |
| 19 | 2010 | 24 | |
| 20 | 2019 | 24 |
About Mina Martini
Mina Martini is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Food Science, Genetics and Nutrition and Dietetics, having authored 127 papers that have together received 1.5k indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (29 papers), Animal Diversity and Health Studies (19 papers), Fatty Acid Research and Health (18 papers), Genetic and phenotypic traits in livestock (17 papers), Meat and Animal Product Quality (16 papers), Veterinary Equine Medical Research (14 papers), Reproductive Physiology in Livestock (11 papers) and Effects of Environmental Stressors on Livestock (11 papers). The work is most often cited by research in Equine (248 citations), Agronomy and Crop Science (491 citations), Animal Science and Zoology (356 citations), Food Science (511 citations) and Nutrition and Dietetics (389 citations). Mina Martini has collaborated with scholars based in Italy, Brazil and China. Frequent co-authors include Federica Salari, Iolanda Altomonte, Rosario Licitra, Francesca Cecchi, Simona Nardoni, Amanda Marília da Silva Sant’Ana, Marcello Mele, Flávio Luiz Honorato da Silva, Anna Maria Caroli and Carlo Sorce. Their work appears in journals such as Italian Journal of Animal Science, Animals, Small Ruminant Research, International Dairy Journal 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.