Umberto Paradossi

40 papers and 890 indexed citations i.

About

Umberto Paradossi is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Umberto Paradossi has authored 40 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cardiology and Cardiovascular Medicine, 13 papers in Surgery and 9 papers in Epidemiology. Recurrent topics in Umberto Paradossi’s work include Acute Myocardial Infarction Research (9 papers), Cardiac Imaging and Diagnostics (8 papers) and Cardiac Valve Diseases and Treatments (7 papers). Umberto Paradossi is often cited by papers focused on Acute Myocardial Infarction Research (9 papers), Cardiac Imaging and Diagnostics (8 papers) and Cardiac Valve Diseases and Treatments (7 papers). Umberto Paradossi collaborates with scholars based in Italy, United States and Czechia. Umberto Paradossi's co-authors include Nicoletta Botto, Andrea Biagini, Maria Giovanna Colombo, Aldo Clerico, Maria Grazia Andreassi, Sérgio Berti, Samantha Manfredi, Serena Masetti, Marco Rezzaghi and Cataldo Palmieri and has published in prestigious journals such as Journal of the American College of Cardiology, Stroke and European Heart Journal.

In The Last Decade

Co-authorship network of co-authors of Umberto Paradossi i

Fields of papers citing papers by Umberto Paradossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Umberto Paradossi

Since Specialization
Citations

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).

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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2025