Massimo Siviglia

15 total papers · 1.5k total citations
6 papers, 218 citations indexed

About

Massimo Siviglia is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Massimo Siviglia has authored 6 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 3 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Massimo Siviglia's work include Cardiac Imaging and Diagnostics (3 papers), Coronary Interventions and Diagnostics (3 papers) and Acute Myocardial Infarction Research (2 papers). Massimo Siviglia is often cited by papers focused on Cardiac Imaging and Diagnostics (3 papers), Coronary Interventions and Diagnostics (3 papers) and Acute Myocardial Infarction Research (2 papers). Massimo Siviglia collaborates with scholars based in Italy and Belgium. Massimo Siviglia's co-authors include Giampaolo Niccoli, Francesco Burzotta, Italo Porto, Enrico Romagnoli, Carlo Trani, Mario Attilio Mazzari, Rocco Mongiardo, Giovanni Schiavoni, Giuseppe Biondi‐Zoccai and Antonio Maria Leone and has published in prestigious journals such as The American Journal of Cardiology, Heart and The Annals of Thoracic Surgery.

In The Last Decade

Massimo Siviglia

6 papers receiving 204 citations

Author Peers

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

Author Last Decade Papers Cites
Massimo Siviglia 181 135 97 41 36 6 218
Srinivas Addala 218 1.2× 92 0.7× 80 0.8× 33 0.8× 52 1.4× 5 293
Darryn Appleton 140 0.8× 72 0.5× 43 0.4× 30 0.7× 32 0.9× 9 193
Cédric Jaeger 198 1.1× 73 0.5× 95 1.0× 26 0.6× 12 0.3× 11 252
Christine M. Gasperetti 156 0.9× 107 0.8× 110 1.1× 54 1.3× 78 2.2× 7 301
Tamina Mosimann 207 1.1× 60 0.4× 86 0.9× 29 0.7× 22 0.6× 11 259
Dominique Magnin 120 0.7× 50 0.4× 64 0.7× 25 0.6× 29 0.8× 6 207
Lynn G. Tarkington 224 1.2× 202 1.5× 32 0.3× 25 0.6× 9 0.3× 9 278
Amar Narula 156 0.9× 75 0.6× 87 0.9× 92 2.2× 181 5.0× 4 330
G. Froeland 287 1.6× 56 0.4× 152 1.6× 20 0.5× 22 0.6× 8 316
Jacklyn Samaha 258 1.4× 193 1.4× 151 1.6× 34 0.8× 5 0.1× 8 319

Countries citing papers authored by Massimo Siviglia

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Siviglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Siviglia

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