Stefano Fazzini

77 total papers · 996 total citations
40 papers, 486 citations indexed

About

Stefano Fazzini is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Stefano Fazzini has authored 40 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Pulmonary and Respiratory Medicine, 22 papers in Surgery and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Stefano Fazzini's work include Aortic aneurysm repair treatments (31 papers), Aortic Disease and Treatment Approaches (25 papers) and Infectious Aortic and Vascular Conditions (13 papers). Stefano Fazzini is often cited by papers focused on Aortic aneurysm repair treatments (31 papers), Aortic Disease and Treatment Approaches (25 papers) and Infectious Aortic and Vascular Conditions (13 papers). Stefano Fazzini collaborates with scholars based in Italy, Germany and Switzerland. Stefano Fazzini's co-authors include Nicola Mangialardi, Sonia Ronchey, Vittorio Alberti, Eugenia Serrao, Holta Kasemi, Giovanni Torsello, Konstantinos P. Donas, Matteo Orrico, Mário Lachat and Frank J. Veith and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Annals of Thoracic Surgery and Medicine.

In The Last Decade

Stefano Fazzini

37 papers receiving 481 citations

Author Peers

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

Author Last Decade Papers Cites
Stefano Fazzini 449 240 185 41 20 40 486
Vincent Riambau 347 0.8× 185 0.8× 166 0.9× 31 0.8× 8 0.4× 24 413
Gaspar Mestres 447 1.0× 273 1.1× 143 0.8× 24 0.6× 22 1.1× 55 516
Fernando Fleischman 381 0.8× 149 0.6× 243 1.3× 35 0.9× 15 0.8× 44 443
Lewis H. Bosher 244 0.5× 293 1.2× 98 0.5× 47 1.1× 19 0.9× 27 426
Noburu SAKAKIBARA 162 0.4× 217 0.9× 205 1.1× 21 0.5× 11 0.6× 36 425
Herminio García del Castillo 242 0.5× 215 0.9× 422 2.3× 89 2.2× 18 0.9× 24 521
Shota Yasuda 361 0.8× 214 0.9× 219 1.2× 32 0.8× 8 0.4× 49 454
Pierre‐Edouard Magnan 397 0.9× 238 1.0× 171 0.9× 25 0.6× 24 1.2× 36 456
Diletta Loschi 480 1.1× 212 0.9× 247 1.3× 40 1.0× 18 0.9× 31 524
Toshihito Sakamoto 442 1.0× 207 0.9× 269 1.5× 80 2.0× 10 0.5× 32 480

Countries citing papers authored by Stefano Fazzini

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Fazzini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Fazzini

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