Vito Marangelli

51 total papers · 806 total citations
22 papers, 552 citations indexed

About

Vito Marangelli is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Vito Marangelli has authored 22 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 11 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Surgery. Recurrent topics in Vito Marangelli's work include Cardiac Imaging and Diagnostics (11 papers), Infective Endocarditis Diagnosis and Management (3 papers) and Ultrasound and Hyperthermia Applications (3 papers). Vito Marangelli is often cited by papers focused on Cardiac Imaging and Diagnostics (11 papers), Infective Endocarditis Diagnosis and Management (3 papers) and Ultrasound and Hyperthermia Applications (3 papers). Vito Marangelli collaborates with scholars based in Italy and United States. Vito Marangelli's co-authors include P Rizzon, Sabino Iliceto, Cataldo Memmola, Antonio Francesco Amico, G DʼAmbrosio, Leonarda Galiuto, Alfredo Marchese, Stefano Favale, Cinzia Forleo and Massimo Iacoviello and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Vito Marangelli

19 papers receiving 528 citations

Author Peers

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

Author Last Decade Papers Cites
Vito Marangelli 473 349 151 50 39 22 552
Attila Pálinkás 455 1.0× 251 0.7× 149 1.0× 63 1.3× 33 0.8× 31 587
Søren Hoffmann 413 0.9× 282 0.8× 137 0.9× 22 0.4× 28 0.7× 24 560
Birger Wandt 454 1.0× 289 0.8× 66 0.4× 38 0.8× 42 1.1× 31 533
E. G. Manios 427 0.9× 177 0.5× 70 0.5× 39 0.8× 56 1.4× 21 579
Periyanan Vaduganathan 417 0.9× 452 1.3× 111 0.7× 79 1.6× 83 2.1× 11 598
O A Smiseth 422 0.9× 263 0.8× 119 0.8× 46 0.9× 30 0.8× 22 492
Tohru Masuyama 393 0.8× 307 0.9× 143 0.9× 60 1.2× 106 2.7× 24 533
Arthur D. Zetts 509 1.1× 299 0.9× 139 0.9× 56 1.1× 40 1.0× 27 568
Lene Helleskov Madsen 383 0.8× 158 0.5× 108 0.7× 121 2.4× 51 1.3× 20 510
James M. Bacos 335 0.7× 197 0.6× 120 0.8× 56 1.1× 18 0.5× 21 472

Countries citing papers authored by Vito Marangelli

Since Specialization
Citations

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

Fields of papers citing papers by Vito Marangelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vito Marangelli

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