Francesca Ambrosio

28 total papers · 403 total citations
13 papers, 262 citations indexed

About

Francesca Ambrosio is a scholar working on Oncology, Epidemiology and Molecular Biology. According to data from OpenAlex, Francesca Ambrosio has authored 13 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 5 papers in Epidemiology and 4 papers in Molecular Biology. Recurrent topics in Francesca Ambrosio's work include Lung Cancer Research Studies (7 papers), Neuroendocrine Tumor Research Advances (5 papers) and Cancer therapeutics and mechanisms (3 papers). Francesca Ambrosio is often cited by papers focused on Lung Cancer Research Studies (7 papers), Neuroendocrine Tumor Research Advances (5 papers) and Cancer therapeutics and mechanisms (3 papers). Francesca Ambrosio collaborates with scholars based in Italy. Francesca Ambrosio's co-authors include Ferdinando Riccardi, Carmelo Tibaldi, Editta Baldini, Vito D’Alessandro, Andrea Camerini, Saverio Cinieri, Claudio Dazzi, Luca Boni, Nicoletta Zilembo and Marcello Tiseo and has published in prestigious journals such as Journal of Clinical Oncology, Analytical Chemistry and Annals of Oncology.

In The Last Decade

Francesca Ambrosio

12 papers receiving 258 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 Ambrosio 181 117 96 72 38 13 262
Luciana Irtelli 173 1.0× 60 0.5× 77 0.8× 115 1.6× 66 1.7× 15 260
Rossitza Draganova‐Tacheva 173 1.0× 90 0.8× 139 1.4× 57 0.8× 50 1.3× 13 311
Yukito Ichinose 145 0.8× 50 0.4× 76 0.8× 87 1.2× 33 0.9× 15 317
Tetsuya Takahara 118 0.7× 25 0.2× 76 0.8× 127 1.8× 22 0.6× 17 327
Ian W. Folkert 133 0.7× 73 0.6× 85 0.9× 39 0.5× 36 0.9× 14 316
Xuan Pei 140 0.8× 100 0.9× 118 1.2× 40 0.6× 81 2.1× 16 306
Giuliano Palumbo 159 0.9× 72 0.6× 81 0.8× 91 1.3× 44 1.2× 15 236
Nicola Sperandio 201 1.1× 108 0.9× 141 1.5× 48 0.7× 120 3.2× 9 322
Moises J. Velez 231 1.3× 93 0.8× 82 0.9× 113 1.6× 29 0.8× 14 310
Lawrence Kashat 168 0.9× 63 0.5× 63 0.7× 27 0.4× 29 0.8× 16 307

Countries citing papers authored by Francesca Ambrosio

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Ambrosio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Ambrosio

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