Francesco Sellitri

42 total papers · 526 total citations
21 papers, 390 citations indexed

About

Francesco Sellitri is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Neurology. According to data from OpenAlex, Francesco Sellitri has authored 21 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 10 papers in Surgery and 6 papers in Neurology. Recurrent topics in Francesco Sellitri's work include Lung Cancer Diagnosis and Treatment (6 papers), Myasthenia Gravis and Thymoma (5 papers) and Respiratory Support and Mechanisms (5 papers). Francesco Sellitri is often cited by papers focused on Lung Cancer Diagnosis and Treatment (6 papers), Myasthenia Gravis and Thymoma (5 papers) and Respiratory Support and Mechanisms (5 papers). Francesco Sellitri collaborates with scholars based in Italy, United Kingdom and United States. Francesco Sellitri's co-authors include Tommaso Claudio Mineo, Federico Tacconi, Vincenzo Ambrogi, Eugenio Pompeo, Gianluca Vanni, Jury Brandolini, Franco Stella, Giampiero Dolci, Fabio Davoli and Filippo Tommaso Gallina and has published in prestigious journals such as International Journal of Molecular Sciences, The Annals of Thoracic Surgery and BMJ Open.

In The Last Decade

Francesco Sellitri

21 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 Sellitri 246 158 132 63 59 21 390
Radha Arunkumar 86 0.3× 60 0.4× 224 1.7× 49 0.8× 146 2.5× 14 418
Katherine Hagan 61 0.2× 60 0.4× 200 1.5× 47 0.7× 118 2.0× 23 379
Noboru Yanai 255 1.0× 74 0.5× 109 0.8× 70 1.1× 15 0.3× 21 422
Deepa Danan 88 0.4× 30 0.2× 167 1.3× 75 1.2× 23 0.4× 25 404
Luciano Anselmi 48 0.2× 75 0.5× 147 1.1× 21 0.3× 82 1.4× 21 338
Laurence B. Kandel 123 0.5× 192 1.2× 56 0.4× 16 0.3× 57 1.0× 18 410
James Lim 116 0.5× 35 0.2× 151 1.1× 55 0.9× 17 0.3× 15 364
K Abhay 105 0.4× 134 0.8× 251 1.9× 10 0.2× 147 2.5× 21 426
Felipe Urdaneta 241 1.0× 91 0.6× 131 1.0× 29 0.5× 165 2.8× 31 428
R. Badwe 75 0.3× 94 0.6× 149 1.1× 96 1.5× 50 0.8× 20 375

Countries citing papers authored by Francesco Sellitri

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Sellitri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Sellitri

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