Francesca Benvenuto

15 total papers · 747 total citations
2 papers, 41 citations indexed

About

Francesca Benvenuto is a scholar working on Infectious Diseases, Critical Care and Intensive Care Medicine and Neurology. According to data from OpenAlex, Francesca Benvenuto has authored 2 papers receiving a total of 41 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Infectious Diseases, 1 paper in Critical Care and Intensive Care Medicine and 1 paper in Neurology. Recurrent topics in Francesca Benvenuto's work include Long-Term Effects of COVID-19 (1 paper), Respiratory viral infections research (1 paper) and COVID-19 Clinical Research Studies (1 paper). Francesca Benvenuto is often cited by papers focused on Long-Term Effects of COVID-19 (1 paper), Respiratory viral infections research (1 paper) and COVID-19 Clinical Research Studies (1 paper). Francesca Benvenuto collaborates with scholars based in Italy. Francesca Benvenuto's co-authors include Sara Rocchi, Annamaria Paglionico, Maria Rita Lo Monaco, Luca Petricca, Andrea Salerno, Angelo Carfì, Elisa Gremese, Marcello Tritto, Anna Maria Martone and Francesca Ciciarello and has published in prestigious journals such as American Journal of Preventive Medicine and Clinics in Geriatric Medicine.

In The Last Decade

Francesca Benvenuto

2 papers receiving 41 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 Benvenuto 30 18 17 10 7 2 41
Anita Walker 45 1.5× 25 1.4× 11 0.6× 18 1.8× 12 1.7× 3 63
Jacopo Castellani 38 1.3× 20 1.1× 18 1.1× 11 1.1× 3 0.4× 3 53
Gemma Lladós 49 1.6× 10 0.6× 19 1.1× 6 0.6× 4 0.6× 2 65
Lenette Mactavous 27 0.9× 7 0.4× 22 1.3× 6 0.6× 9 1.3× 2 39
Shoeleh Yaghoubi 29 1.0× 8 0.4× 19 1.1× 5 0.5× 2 0.3× 2 32
Valeria Binda 29 1.0× 28 1.6× 4 0.2× 11 1.1× 7 1.0× 4 41
Guillaume Lemaître 19 0.6× 9 0.5× 8 0.5× 4 0.4× 3 0.4× 3 38
Khamal Anglin 31 1.0× 5 0.3× 35 2.1× 9 0.9× 5 0.7× 3 50
Aleksandra Parczewska 26 0.9× 7 0.4× 23 1.4× 5 0.5× 5 0.7× 4 41
David Sopelana‐Garay 35 1.2× 9 0.5× 17 1.0× 3 0.3× 39 5.6× 4 53

Countries citing papers authored by Francesca Benvenuto

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Benvenuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Benvenuto

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