Federico Fracassi

583 total papers · 1.9k total citations
109 papers, 1.1k citations indexed

About

Federico Fracassi is a scholar working on Endocrinology, Diabetes and Metabolism, Small Animals and Genetics. According to data from OpenAlex, Federico Fracassi has authored 109 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Endocrinology, Diabetes and Metabolism, 36 papers in Small Animals and 28 papers in Genetics. Recurrent topics in Federico Fracassi's work include Veterinary Medicine and Surgery (33 papers), Diabetes and associated disorders (24 papers) and Diabetes Management and Research (22 papers). Federico Fracassi is often cited by papers focused on Veterinary Medicine and Surgery (33 papers), Diabetes and associated disorders (24 papers) and Diabetes Management and Research (22 papers). Federico Fracassi collaborates with scholars based in Italy, United States and Netherlands. Federico Fracassi's co-authors include Marco Pietra, Francesco Dondi, Alessia Diana, Roberto Chiocchetti, Claudia E Reusch, Fiorella Giancola, Giorgia Galiazzo, H.S. Kooistra, Massimo Giunti and Andrea Boari and has published in prestigious journals such as Frontiers in Microbiology, Cancers and Histochemistry and Cell Biology.

In The Last Decade

Federico Fracassi

101 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Federico Fracassi 548 403 331 253 151 109 1.1k
Chen Gilor 359 0.7× 215 0.5× 323 1.0× 327 1.3× 74 0.5× 85 916
Deborah S. Greco 407 0.7× 532 1.3× 226 0.7× 131 0.5× 210 1.4× 50 1.2k
Thomas K. Graves 444 0.8× 589 1.5× 251 0.8× 230 0.9× 169 1.1× 60 1.4k
Stijn Niessen 630 1.1× 495 1.2× 443 1.3× 204 0.8× 152 1.0× 68 1.2k
Michael Schaer 143 0.3× 213 0.5× 234 0.7× 257 1.0× 234 1.5× 67 1.0k
Lucy J. Davison 302 0.6× 257 0.6× 645 1.9× 401 1.6× 94 0.6× 46 1.2k
Marco Pietra 143 0.3× 246 0.6× 169 0.5× 208 0.8× 251 1.7× 100 1.1k
J. S. Rand 300 0.5× 476 1.2× 485 1.5× 248 1.0× 61 0.4× 63 1.2k
H. A. W. Hazewinkel 214 0.4× 698 1.7× 205 0.6× 324 1.3× 129 0.9× 62 1.3k
Charles E. Wiedmeyer 308 0.6× 147 0.4× 179 0.5× 135 0.5× 81 0.5× 58 1.3k

Countries citing papers authored by Federico Fracassi

Since Specialization
Citations

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

Fields of papers citing papers by Federico Fracassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Fracassi

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Fracassi. A scholar is included among the top collaborators of Federico Fracassi 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 Federico Fracassi. Federico Fracassi 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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2026