M Tesi
Impact in
- Equine top 1%
- Veterinary Equine Medical Research
- Agronomy and Crop Science top 5%
- Reproductive Physiology in Livestock
Papers in
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- Reproductive Physiology in Livestock 16
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- Sperm and Testicular Function 12
- Co-authors
- Alessandra Rota (26 shared papers)Duccio Panzani (20 shared papers)Francesco Camillo (19 shared papers)Diana Fanelli (18 shared papers)Iacopo Vannozzi (9 shared papers)Alessandro Poli (4 shared papers)Francesca Abramo (3 shared papers)Vincenzo Miragliotta (3 shared papers)
In The Last Decade
M Tesi
31 papers receiving 363 citations
Peers
Comparison fields: 5 of 70
- Equine 101
- Agronomy and Crop Science 154
- Reproductive Medicine 112
- Small Animals 70
- Animal Science and Zoology 42
Countries citing papers authored by M Tesi
This map shows the geographic impact of M Tesi'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 M Tesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Tesi more than expected).
Fields of papers citing papers by M Tesi
This network shows the impact of papers produced by M Tesi. 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 M Tesi. The network helps show where M Tesi may publish in the future.
Co-authors
The 25 scholars most cited alongside M Tesi, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 126 | |
| 2 | 2018 | 40 | |
| 3 | 2014 | 22 | |
| 4 | 2019 | 22 | |
| 5 | 2021 | 16 | |
| 6 | 2020 | 13 | |
| 7 | 2018 | 13 | |
| 8 | 2020 | 12 | |
| 9 | 2018 | 11 | |
| 10 | 2017 | 11 | |
| 11 | 2017 | 11 | |
| 12 | 2021 | 10 | |
| 13 | Vascular occlusion : epidemiological, pathophysiological, and therapeutic aspects | 1981 | 8 |
| 14 | 2020 | 8 | |
| 15 | Radical hysterectomy for stage IB1 cervical carcinoma: lymph node metastasis as a prognostic factor. | 2009 | 7 |
| 16 | 2018 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 4 | |
| 20 | A retrospective study on the relationships between semen quality, dogs’ ageing and fertility | 2016 | 4 |
About M Tesi
M Tesi is a scholar working on Agronomy and Crop Science, Reproductive Medicine, Public Health, Environmental and Occupational Health, Equine and Small Animals, having authored 36 papers that have together received 381 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (16 papers), Sperm and Testicular Function (12 papers), Veterinary Equine Medical Research (10 papers), Reproductive Biology and Fertility (9 papers), Veterinary Medicine and Surgery (6 papers), Genetic and phenotypic traits in livestock (3 papers), Veterinary Oncology Research (3 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Equine (101 citations), Agronomy and Crop Science (154 citations), Reproductive Medicine (112 citations), Small Animals (70 citations) and Animal Science and Zoology (42 citations). M Tesi has collaborated with scholars based in Italy, France and Spain. Frequent co-authors include Alessandra Rota, Duccio Panzani, Francesco Camillo, Diana Fanelli, Iacopo Vannozzi, Alessandro Poli, Francesca Abramo, Vincenzo Miragliotta, Francesca Millanta and John Dormandy. Their work appears in journals such as Journal of Equine Veterinary Science, Theriogenology, Animal Reproduction Science, Reproduction in Domestic Animals and Advances in experimental medicine and biology.
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.