Mariano Pellicano
- Surgery top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Pulmonary and Respiratory Medicine
- Epidemiology
- Co-authors
- Emanuele BarbatoBernard De BruyneGábor G. TóthWilliam WijnsAngela FerraraJulien AdjedjNils P. JohnsonNico H.J. Pijls
- Topics
- Coronary Interventions and Diagnostics (35 papers)Cardiac Imaging and Diagnostics (28 papers)Cardiac Valve Diseases and Treatments (19 papers)
In The Last Decade
Mariano Pellicano
47 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Surgery 1.2k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Cardiology and Cardiovascular Medicine 1.0k
- Pulmonary and Respiratory Medicine 144
- Epidemiology 71
Countries citing papers authored by Mariano Pellicano
This map shows the geographic impact of Mariano Pellicano'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 Mariano Pellicano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariano Pellicano more than expected).
Fields of papers citing papers by Mariano Pellicano
This network shows the impact of papers produced by Mariano Pellicano. 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 Mariano Pellicano. The network helps show where Mariano Pellicano may publish in the future.
Co-authorship network of co-authors of Mariano Pellicano
This figure shows the co-authorship network connecting the top 25 collaborators of Mariano Pellicano. A scholar is included among the top collaborators of Mariano Pellicano 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 Mariano Pellicano. Mariano Pellicano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 19 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 22 | |
| 10 | 10 | |
| 11 | 79 | |
| 12 | 137 | |
| 13 | 1 | |
| 14 | Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiographybreakdown → | 388 |
| 15 | 34 | |
| 16 | 32 | |
| 17 | 1 | |
| 18 | 12 | |
| 19 | 17 | |
| 20 | 2 |
About Mariano Pellicano
Mariano Pellicano is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (35 papers), Cardiac Imaging and Diagnostics (28 papers) and Cardiac Valve Diseases and Treatments (19 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Cardiology and Cardiovascular Medicine (1.0k citations) and Surgery (1.2k citations). Mariano Pellicano has collaborated with scholars based in Italy, Belgium and Austria. Frequent co-authors include Emanuele Barbato, Bernard De Bruyne, Gábor G. Tóth, William Wijns, Angela Ferrara, Julien Adjedj, Nils P. Johnson, Nico H.J. Pijls, Clemens von Birgelen and Matteo Tebaldi. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and European Heart Journal.
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.