Umberto Paradossi
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 10%
- Surgery
- Radiology, Nuclear Medicine and Imaging top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Nicoletta BottoAndrea BiaginiMaria Giovanna ColomboAldo ClericoSérgio BertiMaria Grazia AndreassiSamantha ManfrediSerena Masetti
- Topics
- Acute Myocardial Infarction Research (10 papers)Cardiac Imaging and Diagnostics (9 papers)Cardiac Valve Diseases and Treatments (8 papers)
In The Last Decade
Umberto Paradossi
38 papers receiving 915 citations
Peers
Comparison fields: 5 of 81
- Cardiology and Cardiovascular Medicine 685
- Physiology 274
- Surgery 182
- Radiology, Nuclear Medicine and Imaging 136
- Endocrinology, Diabetes and Metabolism 114
Countries citing papers authored by Umberto Paradossi
This map shows the geographic impact of Umberto Paradossi'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 Umberto Paradossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umberto Paradossi more than expected).
Fields of papers citing papers by Umberto Paradossi
This network shows the impact of papers produced by Umberto Paradossi. 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 Umberto Paradossi. The network helps show where Umberto Paradossi may publish in the future.
Co-authorship network of co-authors of Umberto Paradossi
This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Paradossi. A scholar is included among the top collaborators of Umberto Paradossi 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 Umberto Paradossi. Umberto Paradossi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 27 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 18 | |
| 9 | 12 | |
| 10 | 27 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 21 | |
| 16 | 72 | |
| 17 | 8 | |
| 18 | 7 | |
| 19 | 73 | |
| 20 | 5 |
About Umberto Paradossi
Umberto Paradossi is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 950 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (10 papers), Cardiac Imaging and Diagnostics (9 papers) and Cardiac Valve Diseases and Treatments (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (685 citations), Internal Medicine (57 citations) and Physiology (274 citations). Umberto Paradossi has collaborated with scholars based in Italy, Greece and Czechia. Frequent co-authors include Nicoletta Botto, Andrea Biagini, Maria Giovanna Colombo, Aldo Clerico, Sérgio Berti, Maria Grazia Andreassi, Samantha Manfredi, Serena Masetti, Marco Rezzaghi and Cataldo Palmieri. Their work appears in journals such as Journal of the American College of Cardiology, Stroke 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.