Francesca Riva

48 total papers · 1.4k total citations
32 papers, 1000 citations indexed

About

Francesca Riva is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Francesca Riva has authored 32 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 14 papers in Pulmonary and Respiratory Medicine and 8 papers in Surgery. Recurrent topics in Francesca Riva's work include Cancer Treatment and Pharmacology (6 papers), HER2/EGFR in Cancer Research (6 papers) and Aortic aneurysm repair treatments (6 papers). Francesca Riva is often cited by papers focused on Cancer Treatment and Pharmacology (6 papers), HER2/EGFR in Cancer Research (6 papers) and Aortic aneurysm repair treatments (6 papers). Francesca Riva collaborates with scholars based in Italy, France and United States. Francesca Riva's co-authors include Olivier Lantz, Marina Elena Cazzaniga, Jean‐Yves Pierga, Charlotte Proudhon, François‐Clément Bidard, Gabriele Piffaretti, Patrizio Castelli, Aurore Rampanou, Nicola Rivolta and Matteo Tozzi and has published in prestigious journals such as Annals of Oncology, Clinical Chemistry and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Francesca Riva

31 papers receiving 980 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 Riva 469 421 401 239 165 32 1000
Yeu‐Tsu N. Lee 613 1.3× 341 0.8× 177 0.4× 189 0.8× 156 0.9× 56 1.1k
Gabriella Bernini 335 0.7× 528 1.3× 165 0.4× 278 1.2× 304 1.8× 35 1.2k
Yuichi Arimoto 379 0.8× 313 0.7× 165 0.4× 428 1.8× 331 2.0× 34 1.0k
Ciara M. Kelly 512 1.1× 495 1.2× 127 0.3× 181 0.8× 134 0.8× 63 1.1k
Yoshiaki Sugiura 373 0.8× 287 0.7× 209 0.5× 401 1.7× 378 2.3× 41 1.0k
Marina D. Kaymakcalan 420 0.9× 371 0.9× 214 0.5× 163 0.7× 260 1.6× 32 907
Megan Kennedy 572 1.2× 330 0.8× 129 0.3× 202 0.8× 135 0.8× 33 971
Charles K. Tashima 575 1.2× 385 0.9× 244 0.6× 158 0.7× 99 0.6× 54 1.1k
Thomas J. Semrad 392 0.8× 235 0.6× 162 0.4× 120 0.5× 257 1.6× 51 886
Takumi Shimomatsuya 388 0.8× 285 0.7× 267 0.7× 302 1.3× 470 2.8× 51 1.0k

Countries citing papers authored by Francesca Riva

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Riva

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