Matteo Pedrazzini
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Endocrine and Autonomic Systems top 5%
- Cellular and Molecular Neuroscience top 10%
- Emergency Medicine top 10%
- Co-authors
- Lia CrottiPeter J. SchwartzRoberto InsoliaAlfred L. GeorgeChiara FerrandiTorleiv O. RognumMarianne ArnestadÅshild Vege
- Topics
- Cardiac electrophysiology and arrhythmias (23 papers)Ion channel regulation and function (13 papers)Cardiac pacing and defibrillation studies (3 papers)
- Partner nations
- ItalyUnited StatesSouth Africa
In The Last Decade
Matteo Pedrazzini
27 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Cardiology and Cardiovascular Medicine 1.6k
- Molecular Biology 1.1k
- Endocrine and Autonomic Systems 176
- Cellular and Molecular Neuroscience 150
- Emergency Medicine 73
Countries citing papers authored by Matteo Pedrazzini
This map shows the geographic impact of Matteo Pedrazzini'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 Pedrazzini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Pedrazzini more than expected).
Fields of papers citing papers by Matteo Pedrazzini
This network shows the impact of papers produced by Matteo Pedrazzini. 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 Pedrazzini. The network helps show where Matteo Pedrazzini may publish in the future.
Co-authorship network of co-authors of Matteo Pedrazzini
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Pedrazzini. A scholar is included among the top collaborators of Matteo Pedrazzini 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 Pedrazzini. Matteo Pedrazzini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 6 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 26 | |
| 6 | 32 | |
| 7 | 32 | |
| 8 | 6 | |
| 9 | 36 | |
| 10 | Prevalence of the Congenital Long-QT Syndromebreakdown → | 695 |
| 11 | 1 | |
| 12 | 159 | |
| 13 | 29 | |
| 14 | Gene symbol: SCN5A. | 1 |
| 15 | Gene symbol: KCNQ1. | 2 |
| 16 | 1 | |
| 17 | 167 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | Analysis of urinary steroid profiles of women with Cushing's syndrome by computerised gas chromatography-mass spectrometry. | 1 |
About Matteo Pedrazzini
Matteo Pedrazzini is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Electrochemistry, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (23 papers), Ion channel regulation and function (13 papers) and Cardiac pacing and defibrillation studies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.6k citations), Endocrine and Autonomic Systems (176 citations) and Molecular Biology (1.1k citations). Matteo Pedrazzini has collaborated with scholars based in Italy, United States and South Africa. Frequent co-authors include Lia Crotti, Peter J. Schwartz, Roberto Insolia, Alfred L. George, Chiara Ferrandi, Torleiv O. Rognum, Marianne Arnestad, Åshild Vege, Carla Spazzolini and Dao Wen Wang. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
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.