Matteo Pedrazzini

3.6k citations
27 papers · 1.8k indexed · 1 hit paper · h-index 13

Matteo Pedrazzini

27 papers receiving 1.7k citations

Hit Papers

Prevalence of the Congenital Long-QT Syndrome6952009202620142020200400600

Peers

Matteo Pedrazzini
Comparison fields: 5 of 68
  • Cardiology and Cardiovascular Medicine 1.6k
  • Endocrine and Autonomic Systems 176
  • Molecular Biology 1.1k
  • Cellular and Molecular Neuroscience 150
  • Emergency Medicine 73
Replace Roberto Insolia with:
Roberto Insolia Italy
Carla M. Haglund United States
J. C. Kentish United Kingdom
Emmanuel Drouin France
N. Wilson Canada
A Jervell Norway
Ramón Brugada Spain
Thorsten Gerstner Germany
Ana Cristina Martı́nez Spain
Jørn Bathen Norway
Matteo Pedrazzini relative to Roberto Insolia Italy Roberto Insolia's profile →
Citations per field
00.5×1.5×
Roberto Insolia · 1×
Citations per year

Countries citing papers authored by Matteo Pedrazzini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Matteo Pedrazzini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matteo Pedrazzini Line = papers co-authored together Matteo Pedrazzini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202415
2 20246
3 20227
4 20212
5 202126
6 202032
7 202032
8 20156
9 201236
10
Prevalence of the Congenital Long-QT Syndromebreakdown →
2009695
11 20091
12 2008159
13 200829
14
Gene symbol: SCN5A.
20071
15
Gene symbol: KCNQ1.
20072
16 20061
17 2005167
18 20051
19 20052
20
Analysis of urinary steroid profiles of women with Cushing's syndrome by computerised gas chromatography-mass spectrometry.
19831

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), Cardiac pacing and defibrillation studies (3 papers), Neuroscience of respiration and sleep (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Electrochemical Analysis and Applications (2 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.

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