Francesco Profili

76 total papers · 673 total citations
46 papers, 386 citations indexed

About

Francesco Profili is a scholar working on Infectious Diseases, General Health Professions and Epidemiology. According to data from OpenAlex, Francesco Profili has authored 46 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 11 papers in General Health Professions and 11 papers in Epidemiology. Recurrent topics in Francesco Profili's work include Chronic Disease Management Strategies (8 papers), COVID-19 Clinical Research Studies (6 papers) and COVID-19 epidemiological studies (5 papers). Francesco Profili is often cited by papers focused on Chronic Disease Management Strategies (8 papers), COVID-19 Clinical Research Studies (6 papers) and COVID-19 epidemiological studies (5 papers). Francesco Profili collaborates with scholars based in Italy, United States and Brazil. Francesco Profili's co-authors include Paolo Francesconi, Gian Franco Gensini, Marco Morabito, Alfonso Crisci, Simone Orlandini, Laura Policardo, Alfredo Zuppiroli, Giuseppe Seghieri, Daiana Bezzini and Sabina Bartalini and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of the American Geriatrics Society.

In The Last Decade

Francesco Profili

45 papers receiving 380 citations

Author Peers

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

Author Last Decade Papers Cites
Francesco Profili 104 87 81 63 62 46 386
Nam-Soo Hong 47 0.5× 102 1.2× 30 0.4× 32 0.5× 24 0.4× 31 396
Giovanna Cappai 223 2.1× 67 0.8× 82 1.0× 21 0.3× 33 0.5× 20 375
Marie Gilbert Majella 29 0.3× 62 0.7× 29 0.4× 21 0.3× 80 1.3× 42 362
Elder Granger 20 0.2× 46 0.5× 36 0.4× 34 0.5× 84 1.4× 28 420
Scott Metcalfe 17 0.2× 92 1.1× 18 0.2× 72 1.1× 43 0.7× 27 365
Daniel Redondo‐Sánchez 26 0.3× 32 0.4× 29 0.4× 55 0.9× 48 0.8× 30 381
Hee‐Yeon Kang 24 0.2× 125 1.4× 46 0.6× 13 0.2× 70 1.1× 39 362
Izumi Sato 16 0.2× 20 0.2× 47 0.6× 19 0.3× 51 0.8× 54 355
Shyfuddin Ahmed 75 0.7× 51 0.6× 36 0.4× 34 0.5× 45 0.7× 29 374
Giuseppe Natoli 14 0.1× 17 0.2× 29 0.4× 33 0.5× 110 1.8× 38 350

Countries citing papers authored by Francesco Profili

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Profili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Profili

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