Giulia Vettor
- Cardiology and Cardiovascular Medicine top 5%
- Radiology, Nuclear Medicine and Imaging
- Surgery
- Orthopedics and Sports Medicine top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Claudio TondoCristina BassoMichela CasellaGaetano ThieneDomenico CorradoAlessandro ZorziAntonio Dello RussoValentina Catto
- Topics
- Cardiac Arrhythmias and Treatments (12 papers)Cardiac electrophysiology and arrhythmias (12 papers)Cardiovascular Effects of Exercise (10 papers)
- Cited by
- Cardiology and Cardiovascular MedicineOrthopedics and Sports MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Giulia Vettor
23 papers receiving 474 citations
Peers
Comparison fields: 5 of 48
- Cardiology and Cardiovascular Medicine 425
- Radiology, Nuclear Medicine and Imaging 83
- Surgery 73
- Orthopedics and Sports Medicine 40
- Pulmonary and Respiratory Medicine 32
Countries citing papers authored by Giulia Vettor
This map shows the geographic impact of Giulia Vettor'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 Giulia Vettor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Vettor more than expected).
Fields of papers citing papers by Giulia Vettor
This network shows the impact of papers produced by Giulia Vettor. 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 Giulia Vettor. The network helps show where Giulia Vettor may publish in the future.
Co-authorship network of co-authors of Giulia Vettor
This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Vettor. A scholar is included among the top collaborators of Giulia Vettor 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 Giulia Vettor. Giulia Vettor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 14 | |
| 5 | 4 | |
| 6 | 31 | |
| 7 | 20 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 23 | |
| 11 | 28 | |
| 12 | 27 | |
| 13 | 57 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 20 | |
| 18 | 8 | |
| 19 | 140 | |
| 20 | Abstract 17555: The Diagnostic and Prognostic Value of Myocardial Fibrosis in Nonischemic Dilated Cardiomyopathy: A Study by Endomyocardial Biopsy and Cardiac Magnetic Resonance | 1 |
About Giulia Vettor
Giulia Vettor is a scholar working on Cardiology and Cardiovascular Medicine, Orthopedics and Sports Medicine and Internal Medicine, having authored 25 papers that have together received 483 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (12 papers), Cardiac electrophysiology and arrhythmias (12 papers) and Cardiovascular Effects of Exercise (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (425 citations), Orthopedics and Sports Medicine (40 citations) and Radiology, Nuclear Medicine and Imaging (83 citations). Giulia Vettor has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Claudio Tondo, Cristina Basso, Michela Casella, Gaetano Thiene, Domenico Corrado, Alessandro Zorzi, Antonio Dello Russo, Valentina Catto, Andrea Natale and Alessio Gasperetti. Their work appears in journals such as Circulation, International Journal of Molecular Sciences 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.