Mauro Cassese

49 total papers · 696 total citations
29 papers, 256 citations indexed

About

Mauro Cassese is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mauro Cassese has authored 29 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 11 papers in Surgery and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mauro Cassese's work include Cardiac Valve Diseases and Treatments (15 papers), Infective Endocarditis Diagnosis and Management (9 papers) and Aortic Disease and Treatment Approaches (7 papers). Mauro Cassese is often cited by papers focused on Cardiac Valve Diseases and Treatments (15 papers), Infective Endocarditis Diagnosis and Management (9 papers) and Aortic Disease and Treatment Approaches (7 papers). Mauro Cassese collaborates with scholars based in Italy, Canada and Germany. Mauro Cassese's co-authors include Ida Perrotta, E. Perrotta, Giuseppe Donato, Gian Luca Martinelli, Elvira Brunelli, Sandro Tripepi, A.E. Paolini, Michele Grande, Paolo Emilio Puddu and G Fegiz and has published in prestigious journals such as The American Journal of Cardiology, Journal of Thoracic and Cardiovascular Surgery and The Annals of Thoracic Surgery.

In The Last Decade

Mauro Cassese

29 papers receiving 247 citations

Author Peers

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

Author Last Decade Papers Cites
Mauro Cassese 119 98 87 50 25 29 256
Costin Ionescu 95 0.8× 87 0.9× 133 1.5× 27 0.5× 40 1.6× 23 288
Kyu Taik Lee 103 0.9× 38 0.4× 69 0.8× 29 0.6× 30 1.2× 23 304
Gökçen Orhan 155 1.3× 44 0.4× 133 1.5× 44 0.9× 21 0.8× 33 330
Michal Pořízka 110 0.9× 50 0.5× 112 1.3× 68 1.4× 20 0.8× 31 278
M. Rosati 76 0.6× 108 1.1× 54 0.6× 60 1.2× 34 1.4× 21 268
Gary E. Meyerrose 139 1.2× 46 0.5× 64 0.7× 57 1.1× 45 1.8× 21 316
Priyadharshanan Ariyaratnam 96 0.8× 95 1.0× 142 1.6× 43 0.9× 13 0.5× 28 291
Mohamed Khayata 184 1.5× 42 0.4× 93 1.1× 48 1.0× 41 1.6× 37 290
Kazuhiro Hoshi 139 1.2× 64 0.7× 157 1.8× 25 0.5× 38 1.5× 24 327
Johannes Boehm 135 1.1× 67 0.7× 62 0.7× 84 1.7× 40 1.6× 25 276

Countries citing papers authored by Mauro Cassese

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Cassese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Cassese

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