Francesca Beccati

51 papers receiving 374 citations

Peers

Francesca Beccati
Comparison fields: 5 of 66
  • Equine 261
  • Small Animals 122
  • Agronomy and Crop Science 57
  • Orthopedics and Sports Medicine 42
  • Endocrinology 13
Replace Marco Pepe with:
Marco Pepe Italy
Jennifer Taintor United States
Robin M. Dabareiner United States
David G. Levine United States
Alison M. LaCarrubba United States
C. E. Sherlock United Kingdom
Bonnie Rush Moore United States
Graham Munroe United Kingdom
M. Steenhaut Belgium
Midge Leitch United States
Francesca Beccati relative to Marco Pepe Italy Marco Pepe's profile →
Citations per field
00.5×1.5×
Marco Pepe · 1×
Citations per year

Countries citing papers authored by Francesca Beccati

Since Specialization
Citations

This map shows the geographic impact of Francesca Beccati'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 Beccati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Beccati more than expected).

Fields of papers citing papers by Francesca Beccati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesca Beccati. 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 Beccati. The network helps show where Francesca Beccati may publish in the future.

Co-authors

The 25 scholars most cited alongside Francesca Beccati, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesca Beccati Line = papers co-authored together Francesca Beccati links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201138
2 201233
3 201927
4 201423
5 201423
6 201218
7 201318
8 201817
9 201715
10 202014
11 202211
12 201810
13 20219
14 20189
15 20108
16 20178
17 20228
18 20237
19 20197
20 20216

About Francesca Beccati

Francesca Beccati is a scholar working on Equine, Small Animals, Orthopedics and Sports Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 61 papers that have together received 389 indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (43 papers), Tendon Structure and Treatment (11 papers), Shoulder Injury and Treatment (10 papers), Microbial infections and disease research (6 papers), Streptococcal Infections and Treatments (5 papers), Veterinary Oncology Research (4 papers), Reproductive Physiology in Livestock (4 papers) and Sports Performance and Training (3 papers). The work is most often cited by research in Equine (261 citations), Small Animals (122 citations), Agronomy and Crop Science (57 citations), Orthopedics and Sports Medicine (42 citations) and Endocrinology (13 citations). Francesca Beccati has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Marco Pepe, Sara Nannarone, Rodolfo Gialletti, Fabrizio Passamonti, Antonio Di Meo, Elisabetta Chiaradia, Mauro Coletti, Valentina Stefanetti, G Angeli and Heather Chalmers. Their work appears in journals such as Journal of the American Veterinary Medical Association, Equine Veterinary Journal, Veterinary Record, Animals and Journal of Equine 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.

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