Francesca Dai

31 papers and 659 indexed citations i.

About

Francesca Dai is a scholar working on Equine, Small Animals and Animal Science and Zoology. According to data from OpenAlex, Francesca Dai has authored 31 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Equine, 24 papers in Small Animals and 13 papers in Animal Science and Zoology. Recurrent topics in Francesca Dai’s work include Veterinary Equine Medical Research (26 papers), Animal Behavior and Welfare Studies (17 papers) and Meat and Animal Product Quality (12 papers). Francesca Dai is often cited by papers focused on Veterinary Equine Medical Research (26 papers), Animal Behavior and Welfare Studies (17 papers) and Meat and Animal Product Quality (12 papers). Francesca Dai collaborates with scholars based in Italy, United Kingdom and Brazil. Francesca Dai's co-authors include Michela Minero, Emanuela Dalla Costa, Elisabetta Canali, Dirk Lebelt, Matthew C. Leach, Françoise Wemelsfelder, S. Barbieri, Diana Stucke, Eugenio Heinzl and Riccardo Pascuzzo and has published in prestigious journals such as PLoS ONE, Applied Animal Behaviour Science and Veterinary Record.

In The Last Decade

Co-authorship network of co-authors of Francesca Dai i

Fields of papers citing papers by Francesca Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Francesca Dai

Since Specialization
Citations

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).

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.

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2025