R De Caterina
- Cardiology and Cardiovascular Medicine top 2%
- Internal Medicine top 2%
- Surgery
- Physiology top 10%
- Molecular Biology
- Co-authors
- Rosalinda MadonnaMarika MassaroCarlo PatronoSergio ChierchiaA MaseriFilippo CreaAssunta PandolfiAgostino Consoli
- Topics
- Atrial Fibrillation Management and Outcomes (16 papers)Antiplatelet Therapy and Cardiovascular Diseases (7 papers)Health Systems, Economic Evaluations, Quality of Life (5 papers)
- Partner nations
- ItalyCzechiaUnited States
In The Last Decade
R De Caterina
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Cardiology and Cardiovascular Medicine 720
- Internal Medicine 238
- Surgery 215
- Physiology 192
- Molecular Biology 185
Countries citing papers authored by R De Caterina
This map shows the geographic impact of R De Caterina'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 R De Caterina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R De Caterina more than expected).
Fields of papers citing papers by R De Caterina
This network shows the impact of papers produced by R De Caterina. 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 R De Caterina. The network helps show where R De Caterina may publish in the future.
Co-authorship network of co-authors of R De Caterina
This figure shows the co-authorship network connecting the top 25 collaborators of R De Caterina. A scholar is included among the top collaborators of R De Caterina 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 R De Caterina. R De Caterina 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 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 262 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 42 | |
| 11 | 28 | |
| 12 | 175 | |
| 13 | 29 | |
| 14 | 19 | |
| 15 | 7 | |
| 16 | 52 | |
| 17 | 10 | |
| 18 | 2 | |
| 19 | Activity of resveratrol on endothelial adhesion molecules | 3 |
| 20 | n-3 fatty acids and vascular disease : background and pathophysiology - hyperlipidaemia - renal diseases - ischaemic heart disease | 6 |
About R De Caterina
R De Caterina is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Physiology, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (16 papers), Antiplatelet Therapy and Cardiovascular Diseases (7 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). The work is most often cited by research in Internal Medicine (238 citations), Cardiology and Cardiovascular Medicine (720 citations) and Pharmacology (162 citations). R De Caterina has collaborated with scholars based in Italy, Czechia and United States. Frequent co-authors include Rosalinda Madonna, Marika Massaro, Carlo Patrono, Sergio Chierchia, A Maseri, Filippo Crea, Assunta Pandolfi, Agostino Consoli, Guido Lazzerini and Dan Atar. Their work appears in journals such as Circulation, Blood and Journal of Applied Physiology.
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.