Francesca Minoia

114 total papers · 3.9k total citations
39 papers, 692 citations indexed

About

Francesca Minoia is a scholar working on Hematology, Surgery and Speech and Hearing. According to data from OpenAlex, Francesca Minoia has authored 39 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hematology, 12 papers in Surgery and 12 papers in Speech and Hearing. Recurrent topics in Francesca Minoia's work include Autoimmune and Inflammatory Disorders Research (18 papers), Adolescent and Pediatric Healthcare (12 papers) and Kawasaki Disease and Coronary Complications (9 papers). Francesca Minoia is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (18 papers), Adolescent and Pediatric Healthcare (12 papers) and Kawasaki Disease and Coronary Complications (9 papers). Francesca Minoia collaborates with scholars based in Italy, United States and Germany. Francesca Minoia's co-authors include Angelo Ravelli, Randy Q. Cron, Sergio Davì, Alberto Martini, Giovanni Filocamo, Clara Malattia, Federica Vanoni, Marco Gattorno, Alessandro Consolaro and Giorgio Costantino and has published in prestigious journals such as Blood, Annals of the Rheumatic Diseases and Frontiers in Immunology.

In The Last Decade

Francesca Minoia

30 papers receiving 677 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 Minoia 457 236 212 172 169 39 692
Susan Shenoi 488 1.1× 187 0.8× 125 0.6× 115 0.7× 212 1.3× 39 691
Yasuo Nakagishi 571 1.2× 280 1.2× 266 1.3× 69 0.4× 199 1.2× 44 723
Mao Mizuta 433 0.9× 216 0.9× 229 1.1× 62 0.4× 140 0.8× 41 594
Denise Pires Marafon 337 0.7× 204 0.9× 246 1.2× 62 0.4× 128 0.8× 39 729
K. Mazodier 305 0.7× 274 1.2× 88 0.4× 230 1.3× 43 0.3× 36 738
Bella Mehta 241 0.5× 130 0.6× 188 0.9× 84 0.5× 40 0.2× 32 573
Ikuyo Ueda 449 1.0× 436 1.8× 72 0.3× 273 1.6× 94 0.6× 28 766
A C Koeger 318 0.7× 189 0.8× 150 0.7× 53 0.3× 38 0.2× 25 634
D. M. C. Brinkman 400 0.9× 158 0.7× 101 0.5× 42 0.2× 210 1.2× 32 590
Judith Barash 191 0.4× 105 0.4× 79 0.4× 90 0.5× 43 0.3× 30 598

Countries citing papers authored by Francesca Minoia

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Minoia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Minoia

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