Francesca Dai
Impact in
- Equine top 0.2%
- Veterinary Equine Medical Research
- Small Animals top 0.5%
- Animal Behavior and Welfare Studies
- Veterinary Pharmacology and Anesthesia
Papers in
- Equine 28
- Veterinary Equine Medical Research 28
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- Animal Behavior and Welfare Studies 19
- Veterinary Pharmacology and Anesthesia 10
- Co-authors
- Michela Minero (35 shared papers)Emanuela Dalla Costa (31 shared papers)Elisabetta Canali (12 shared papers)Dirk Lebelt (6 shared papers)Matthew C. Leach (3 shared papers)S. Barbieri (6 shared papers)Françoise Wemelsfelder (2 shared papers)Diana Stucke (2 shared papers)
- Journals
- Animals (8 papers)Applied Animal Behaviour Science (4 papers)Animal Welfare (3 papers)Frontiers in Veterinary Science (3 papers)Research in Veterinary Science (1 paper)
- Partner nations
- ItalyUnited KingdomBrazil
In The Last Decade
Francesca Dai
36 papers receiving 760 citations
Peers
Comparison fields: 5 of 74
- Equine 504
- Small Animals 608
- Speech and Hearing 147
- Animal Science and Zoology 211
- Genetics 294
Countries citing papers authored by Francesca Dai
This map shows the geographic impact of Francesca Dai'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 Francesca Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Dai more than expected).
Fields of papers citing papers by Francesca Dai
This network shows the impact of papers produced by Francesca Dai. 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 Francesca Dai. The network helps show where Francesca Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Dai, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 91 | |
| 2 | 2015 | 82 | |
| 3 | 2014 | 72 | |
| 4 | 2014 | 65 | |
| 5 | 2016 | 60 | |
| 6 | 2015 | 55 | |
| 7 | 2018 | 46 | |
| 8 | 2018 | 45 | |
| 9 | 2017 | 39 | |
| 10 | 2014 | 32 | |
| 11 | 2019 | 28 | |
| 12 | 2016 | 27 | |
| 13 | 2016 | 27 | |
| 14 | 2020 | 26 | |
| 15 | 2017 | 18 | |
| 16 | 2021 | 12 | |
| 17 | 2017 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2021 | 8 |
About Francesca Dai
Francesca Dai is a scholar working on Equine, Small Animals, Animal Science and Zoology, Speech and Hearing and Genetics, having authored 37 papers that have together received 813 indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (28 papers), Animal Behavior and Welfare Studies (19 papers), Meat and Animal Product Quality (14 papers), Veterinary Pharmacology and Anesthesia (10 papers), Veterinary Practice and Education Studies (9 papers), Human-Animal Interaction Studies (4 papers), Livestock Farming and Management (2 papers) and Animal Nutrition and Physiology (2 papers). The work is most often cited by research in Equine (504 citations), Small Animals (608 citations), Speech and Hearing (147 citations), Animal Science and Zoology (211 citations) and Genetics (294 citations). Francesca Dai has collaborated with scholars based in Italy, United Kingdom and Brazil. Frequent co-authors include Michela Minero, Emanuela Dalla Costa, Elisabetta Canali, Dirk Lebelt, Matthew C. Leach, S. Barbieri, Françoise Wemelsfelder, Diana Stucke, Eugenio Heinzl and Riccardo Pascuzzo. Their work appears in journals such as Animals, Applied Animal Behaviour Science, Animal Welfare, Frontiers in Veterinary Science and Research in Veterinary 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.