Matteo Vatta
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 10%
- Surgery
- Co-authors
- Jeffrey A. TowbinNeil E. BowlesRamón BrugadaPedro BrugadaJosép BrugadaCharles AntzelevitchRobert DumaineMichael J. Ackerman
- Topics
- Cardiomyopathy and Myosin Studies (33 papers)Cardiac electrophysiology and arrhythmias (30 papers)Ion channel regulation and function (22 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Matteo Vatta
59 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 95
- Cardiology and Cardiovascular Medicine 2.0k
- Molecular Biology 1.7k
- Cellular and Molecular Neuroscience 210
- Cell Biology 169
- Surgery 153
Countries citing papers authored by Matteo Vatta
This map shows the geographic impact of Matteo Vatta'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 Matteo Vatta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Vatta more than expected).
Fields of papers citing papers by Matteo Vatta
This network shows the impact of papers produced by Matteo Vatta. 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 Matteo Vatta. The network helps show where Matteo Vatta may publish in the future.
Co-authorship network of co-authors of Matteo Vatta
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Vatta. A scholar is included among the top collaborators of Matteo Vatta 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 Matteo Vatta. Matteo Vatta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 19 | |
| 9 | 13 | |
| 10 | 85 | |
| 11 | 356 | |
| 12 | 22 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | SUDS and Brugada Syndrome Linked by the Same SCN5A Mutation | 2 |
| 16 | 255 | |
| 17 | 23 | |
| 18 | 2 | |
| 19 | 125 | |
| 20 | Familial dilated cardiomyopathy with subclinical skeletal muscle involvement | 1 |
About Matteo Vatta
Matteo Vatta is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cell Biology, having authored 60 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (33 papers), Cardiac electrophysiology and arrhythmias (30 papers) and Ion channel regulation and function (22 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.0k citations), Molecular Biology (1.7k citations) and Cellular and Molecular Neuroscience (210 citations). Matteo Vatta has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Jeffrey A. Towbin, Neil E. Bowles, Ramón Brugada, Pedro Brugada, Josép Brugada, Charles Antzelevitch, Robert Dumaine, Michael J. Ackerman, Vladislav V. Nesterenko and David J. Tester. Their work appears in journals such as The Lancet, Circulation and Journal of Clinical Investigation.
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.