Damiano Regazzoli

3.8k citations
123 papers · 1.4k indexed · h-index 23

Damiano Regazzoli

117 papers receiving 1.4k citations

Peers

Damiano Regazzoli
Comparison fields: 5 of 64
  • Cardiology and Cardiovascular Medicine 1.1k
  • Radiology, Nuclear Medicine and Imaging 336
  • Surgery 626
  • Internal Medicine 49
  • Epidemiology 355
Replace Michael C. Kim with:
Michael C. Kim United States
Wilko Reents Germany
Stephanie Mick United States
Joëlle Kefer Belgium
Toshinari Onishi Japan
Yong Jin Kim South Korea
Robert F. Hebeler United States
Jean‐Michel Juliard France
Mathieu Bernier Canada
Kendra J. Grubb United States
Damiano Regazzoli relative to Michael C. Kim United States Michael C. Kim's profile →
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Citations per year

Countries citing papers authored by Damiano Regazzoli

Since Specialization
Citations

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

Fields of papers citing papers by Damiano Regazzoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Damiano Regazzoli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Damiano Regazzoli Line = papers co-authored together Damiano Regazzoli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 202323
5 20229
6 20214
7 201911
8 20192
9 201813
10 20185
11 201810
12 20186
13 201836
14 201713
15 201725
16 201624
17 20162
18 20161
19 201634
20 20151

About Damiano Regazzoli

Damiano Regazzoli is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 123 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (64 papers), Coronary Interventions and Diagnostics (43 papers), Infective Endocarditis Diagnosis and Management (34 papers), Cardiac Imaging and Diagnostics (25 papers), Cardiac Arrhythmias and Treatments (14 papers), Atrial Fibrillation Management and Outcomes (14 papers), Cardiac Structural Anomalies and Repair (14 papers) and Cardiovascular Function and Risk Factors (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Radiology, Nuclear Medicine and Imaging (336 citations) and Surgery (626 citations). Damiano Regazzoli has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Antonio Colombo, Azeem Latib, Antonio Mangieri, Marco Ancona, Eustachio Agricola, Matteo Montorfano, Bernhard Reimers, Satoru Mitomo, Pier Pasquale Leone and Francesco Giannini. Their work appears in journals such as The Lancet, 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.

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