Angelo de Paola
- Cardiology and Cardiovascular Medicine top 1%
- Physiology
- Surgery
- Pulmonary and Respiratory Medicine
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Laurent MacleVivek Y. ReddyHugh CalkinsMatthew R. ReynoldsFrancis E. MarchlinskiCarlo PapponeAndrea NatalePetr Neužil
- Topics
- Cardiac Arrhythmias and Treatments (9 papers)Obstructive Sleep Apnea Research (8 papers)Cardiac electrophysiology and arrhythmias (6 papers)
- Partner nations
- BrazilItalyUnited States
In The Last Decade
Angelo de Paola
21 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Cardiology and Cardiovascular Medicine 1.3k
- Physiology 158
- Surgery 87
- Pulmonary and Respiratory Medicine 83
- Endocrine and Autonomic Systems 81
Countries citing papers authored by Angelo de Paola
This map shows the geographic impact of Angelo de Paola'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 Angelo de Paola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo de Paola more than expected).
Fields of papers citing papers by Angelo de Paola
This network shows the impact of papers produced by Angelo de Paola. 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 Angelo de Paola. The network helps show where Angelo de Paola may publish in the future.
Co-authorship network of co-authors of Angelo de Paola
This figure shows the co-authorship network connecting the top 25 collaborators of Angelo de Paola. A scholar is included among the top collaborators of Angelo de Paola 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 Angelo de Paola. Angelo de Paola 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 | 28 | |
| 3 | 21 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 15 | |
| 8 | 12 | |
| 9 | Comparison of Antiarrhythmic Drug Therapy and Radiofrequency Catheter Ablation in Patients With Paroxysmal Atrial Fibrillationbreakdown → | 809 |
| 10 | 29 | |
| 11 | 2 | |
| 12 | 23 | |
| 13 | 11 | |
| 14 | 62 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 400 | |
| 19 | 4 | |
| 20 | 99mTc anti-D-dimer MoAb detects venous thrombi in man. | 2 |
About Angelo de Paola
Angelo de Paola is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Physiology, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (9 papers), Obstructive Sleep Apnea Research (8 papers) and Cardiac electrophysiology and arrhythmias (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Endocrine and Autonomic Systems (81 citations) and Internal Medicine (34 citations). Angelo de Paola has collaborated with scholars based in Brazil, Italy and United States. Frequent co-authors include Laurent Macle, Vivek Y. Reddy, Hugh Calkins, Matthew R. Reynolds, Francis E. Marchlinski, Carlo Pappone, Andrea Natale, Petr Neužil, Burr Hall and Giuseppe Augello. Their work appears in journals such as JAMA, Circulation and Journal of the American College of Cardiology.
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.