Marcello Ravani

56 total papers · 541 total citations
27 papers, 295 citations indexed

About

Marcello Ravani is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Marcello Ravani has authored 27 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 9 papers in Surgery and 8 papers in Epidemiology. Recurrent topics in Marcello Ravani's work include Cardiac Valve Diseases and Treatments (7 papers), Infective Endocarditis Diagnosis and Management (6 papers) and Acute Myocardial Infarction Research (6 papers). Marcello Ravani is often cited by papers focused on Cardiac Valve Diseases and Treatments (7 papers), Infective Endocarditis Diagnosis and Management (6 papers) and Acute Myocardial Infarction Research (6 papers). Marcello Ravani collaborates with scholars based in Italy, United States and Czechia. Marcello Ravani's co-authors include Sérgio Berti, Giuseppe Trianni, Cataldo Palmieri, Antonio Rizza, Giorgio Iervasi, Annamaria Mazzone, Silverio Sbrana, Nicoletta Botto, Andrea Biagini and Alberto De Caterina and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The American Journal of Cardiology and American Heart Journal.

In The Last Decade

Marcello Ravani

26 papers receiving 291 citations

Author Peers

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

Author Last Decade Papers Cites
Marcello Ravani 170 72 61 47 47 27 295
Takehiro Hashikata 134 0.8× 101 1.4× 73 1.2× 50 1.1× 21 0.4× 25 289
Wen‐Jin Cherng 146 0.9× 75 1.0× 55 0.9× 66 1.4× 23 0.5× 18 365
Arif Oğuzhan Çimen 190 1.1× 103 1.4× 41 0.7× 26 0.6× 38 0.8× 24 337
Kirtipal Bhatia 169 1.0× 73 1.0× 47 0.8× 37 0.8× 43 0.9× 31 329
A.K.M. Tarikuz Zaman 191 1.1× 74 1.0× 57 0.9× 88 1.9× 43 0.9× 25 348
Seçkin Satılmış 143 0.8× 70 1.0× 46 0.8× 43 0.9× 40 0.9× 26 321
Takashi Uegaito 281 1.7× 100 1.4× 24 0.4× 45 1.0× 56 1.2× 25 354
G Cini 165 1.0× 83 1.2× 124 2.0× 42 0.9× 24 0.5× 22 319
Sida Jia 196 1.2× 138 1.9× 97 1.6× 39 0.8× 56 1.2× 35 363
Xunxun Feng 99 0.6× 71 1.0× 54 0.9× 64 1.4× 46 1.0× 17 248

Countries citing papers authored by Marcello Ravani

Since Specialization
Citations

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

Fields of papers citing papers by Marcello Ravani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcello Ravani

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