Francesca Dai

53 total papers · 1.0k total citations
38 papers, 785 citations indexed

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 38 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Equine, 26 papers in Small Animals and 15 papers in Animal Science and Zoology. Recurrent topics in Francesca Dai's work include Veterinary Equine Medical Research (29 papers), Animal Behavior and Welfare Studies (19 papers) and Meat and Animal Product Quality (14 papers). Francesca Dai is often cited by papers focused on Veterinary Equine Medical Research (29 papers), Animal Behavior and Welfare Studies (19 papers) and Meat and Animal Product Quality (14 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 SHILAP Revista de lepidopterología, PLoS ONE and Applied Animal Behaviour Science.

In The Last Decade

Francesca Dai

35 papers receiving 731 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Francesca Dai	616	518	296	213	161	38	785
Dirk Lebelt	643 1.0×	568 1.1×	235 0.8×	168 0.8×	127 0.8×	13	856
Clémence Lesimple	541 0.9×	581 1.1×	310 1.0×	164 0.8×	108 0.7×	25	794
Joy Pritchard	430 0.7×	458 0.9×	206 0.7×	167 0.8×	191 1.2×	17	685
Iris Bachmann	502 0.8×	514 1.0×	275 0.9×	230 1.1×	53 0.3×	38	813
AJ Zanella	513 0.8×	365 0.7×	220 0.7×	294 1.4×	52 0.3×	19	754
Machteld C. Van Dierendonck	426 0.7×	539 1.0×	164 0.6×	103 0.5×	65 0.4×	19	758
Ted H. Friend	479 0.8×	191 0.4×	310 1.0×	346 1.6×	32 0.2×	33	834
Daniela Alberghina	280 0.5×	178 0.3×	183 0.6×	237 1.1×	23 0.1×	66	778
Natascha Ille	190 0.3×	437 0.8×	106 0.4×	174 0.8×	42 0.3×	37	666
Suzanne Dowling	601 1.0×	126 0.2×	262 0.9×	460 2.2×	37 0.2×	15	802

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).

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.

Co-authorship network of co-authors of Francesca Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Dai. A scholar is included among the top collaborators of Francesca Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesca Dai. Francesca Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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