Francesca Leonardi

41 total papers · 589 total citations
17 papers, 442 citations indexed

About

Francesca Leonardi is a scholar working on Ophthalmology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Francesca Leonardi has authored 17 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ophthalmology, 5 papers in Epidemiology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Francesca Leonardi's work include Retinal Diseases and Treatments (4 papers), Genetic factors in colorectal cancer (3 papers) and Neurofibromatosis and Schwannoma Cases (3 papers). Francesca Leonardi is often cited by papers focused on Retinal Diseases and Treatments (4 papers), Genetic factors in colorectal cancer (3 papers) and Neurofibromatosis and Schwannoma Cases (3 papers). Francesca Leonardi collaborates with scholars based in Italy. Francesca Leonardi's co-authors include Edoardo Midena, Elisabetta Pilotto, Raffaele Parrozzani, Giacomo Miglionico, E Capozzi, Luisa Frizziero, Alfonso Bellacosa, Maurizio Genuardi, Mauro Boiocchi and Alessandra Viel and has published in prestigious journals such as Journal of Hepatology, International Journal of Cancer and British Journal of Ophthalmology.

In The Last Decade

Francesca Leonardi

16 papers receiving 426 citations

Author Peers

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

Author Last Decade Papers Cites
Francesca Leonardi 169 135 111 102 90 17 442
Rosemary Kane 27 0.2× 60 0.4× 33 0.3× 114 1.1× 29 0.3× 16 446
Michael L. Palmer 115 0.7× 36 0.3× 156 1.4× 10 0.1× 76 0.8× 17 457
Jiyoung Lee 32 0.2× 27 0.2× 47 0.4× 143 1.4× 117 1.3× 29 375
Harold D. McDonald 107 0.6× 44 0.3× 170 1.5× 9 0.1× 189 2.1× 20 454
Taiji Nakashima 149 0.9× 43 0.3× 40 0.4× 10 0.1× 101 1.1× 13 431
F-J Tsai 72 0.4× 57 0.4× 33 0.3× 72 0.7× 19 0.2× 21 437
Kyung Moo Yang 56 0.3× 111 0.8× 64 0.6× 12 0.1× 140 1.6× 22 466
Trine Normann 61 0.4× 63 0.5× 86 0.8× 9 0.1× 23 0.3× 28 470
Beata Jurecka‐Lubieniecka 72 0.4× 69 0.5× 58 0.5× 7 0.1× 51 0.6× 31 462
Edward Rosenblatt 89 0.5× 142 1.1× 219 2.0× 5 0.0× 57 0.6× 20 492

Countries citing papers authored by Francesca Leonardi

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Leonardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Leonardi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Leonardi. A scholar is included among the top collaborators of Francesca Leonardi 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 Leonardi. Francesca Leonardi 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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