Stefano Severi

4.1k total citations
187 papers, 2.8k citations indexed

About

Stefano Severi is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stefano Severi has authored 187 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Cardiology and Cardiovascular Medicine, 58 papers in Molecular Biology and 41 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stefano Severi's work include Cardiac electrophysiology and arrhythmias (104 papers), Ion channel regulation and function (48 papers) and Neuroscience and Neural Engineering (31 papers). Stefano Severi is often cited by papers focused on Cardiac electrophysiology and arrhythmias (104 papers), Ion channel regulation and function (48 papers) and Neuroscience and Neural Engineering (31 papers). Stefano Severi collaborates with scholars based in Italy, Germany and United Kingdom. Stefano Severi's co-authors include Michelangelo Paci, Jari Hyttinen, Elisa Passini, Blanca Rodríguez, Eleonora Grandi, Cristiana Corsi, Chiara Bartolucci, Silvio Cavalcanti, Katriina Aalto‐Setälä and Giuseppe Thadeu Freitas de Abreu and has published in prestigious journals such as Circulation Research, Neurology and The Journal of Physiology.

In The Last Decade

Stefano Severi

184 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stefano Severi Italy 28 1.8k 1.2k 607 250 227 187 2.8k
Shien‐Fong Lin United States 46 5.8k 3.2× 2.0k 1.7× 687 1.1× 130 0.5× 566 2.5× 218 7.2k
E. Kevin Heist United States 40 3.7k 2.1× 827 0.7× 463 0.8× 169 0.7× 265 1.2× 191 5.1k
Ralf Mrowka Germany 31 754 0.4× 1.0k 0.9× 122 0.2× 154 0.6× 450 2.0× 108 2.7k
Richard H. Clayton United Kingdom 28 2.3k 1.3× 693 0.6× 239 0.4× 81 0.3× 284 1.3× 143 3.0k
Jørgen K. Kanters Denmark 35 3.2k 1.7× 1.7k 1.4× 225 0.4× 160 0.6× 277 1.2× 204 4.4k
Antonis A. Armoundas United States 33 2.0k 1.1× 1.1k 0.9× 282 0.5× 112 0.4× 339 1.5× 126 3.0k
Steven M. Pogwizd United States 35 4.5k 2.5× 3.6k 3.0× 883 1.5× 81 0.3× 93 0.4× 96 5.6k
Nabil El‐Sherif United States 63 10.7k 5.9× 3.6k 3.0× 836 1.4× 843 3.4× 355 1.6× 293 12.8k
Reinhard Bauer Germany 34 349 0.2× 911 0.8× 379 0.6× 368 1.5× 165 0.7× 162 3.9k
Koji Ito Japan 26 810 0.4× 477 0.4× 257 0.4× 141 0.6× 666 2.9× 177 2.8k

Countries citing papers authored by Stefano Severi

Since Specialization
Citations

This map shows the geographic impact of Stefano Severi'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 Stefano Severi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Severi more than expected).

Fields of papers citing papers by Stefano Severi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefano Severi. 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 Stefano Severi. The network helps show where Stefano Severi may publish in the future.

Co-authorship network of co-authors of Stefano Severi

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Severi. A scholar is included among the top collaborators of Stefano Severi 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 Stefano Severi. Stefano Severi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bartolucci, Chiara, et al.. (2024). In Silico Simulation of Mouse Atrioventricular Conduction Including Sinus Node and Atrial Myocardium. Computing in cardiology. 51.
2.
Bartolucci, Chiara, et al.. (2024). Computational modelling of mouse atrio ventricular node action potential and automaticity. The Journal of Physiology. 602(19). 4821–4847. 2 indexed citations
3.
Tomasi, Corrado, Alessandro Dal Monte, Cristiana Corsi, et al.. (2020). Impedance mapping with constant contact force on 3D electroanatomic map to characterize tissues at pulmonary veno-atrial junction. Journal of Interventional Cardiac Electrophysiology. 61(3). 469–477. 1 indexed citations
4.
Pilia, Nicolas, Stefano Severi, Jochen G. Raimann, et al.. (2020). Quantification and classification of potassium and calcium disorders with the electrocardiogram: What do clinical studies, modeling, and reconstruction tell us?. APL Bioengineering. 4(4). 41501–41501. 11 indexed citations
5.
Bartolucci, Chiara, Michelangelo Paci, Jari Hyttinen, Elisa Passini, & Stefano Severi. (2019). Evolution of the Seminal O'Hara Rudy Model to More Accurately Simulate the Electrophysiology of Human Ventricular Cardiomyocytes. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1 indexed citations
6.
Paci, Michelangelo, Elisa Passini, Aleksandra Klimas, et al.. (2018). In Silico Populations Optimized on Optogenetic Recordings Predict Drug Effects in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes. Computing in cardiology. 45. 6 indexed citations
7.
Bie, J. de, et al.. (2017). Quantification of hERG potassium channel block from the ECG. Computing in Cardiology. 1 indexed citations
8.
Paci, Michelangelo, Stefano Severi, & Jari Hyttinen. (2014). Computational modeling supports induced pluripotent stem cell-derived cardiomyocytes reliability as a model for human LQT3. Computing in Cardiology. 69–72. 4 indexed citations
9.
Bartolucci, Chiara, Cristina Moreno, Alicia de la Cruz, et al.. (2014). Linking a novel mutation to its short QT phenotype through multiscale computational modelling. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1017–1020. 2 indexed citations
10.
Passini, Elisa, Blanca Rodríguez, Ana Mincholé, et al.. (2014). Late sodium current inhibition counteracts pro-arrhythmic mechanisms in human hypertrophic cardiomyopathy. Computing in Cardiology Conference. 41. 861–864. 1 indexed citations
11.
Paci, Michelangelo, Jari Hyttinen, & Stefano Severi. (2013). Computational modelling of LQT1 in human induced pluripotent stem cell derived cardiomyocytes. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1239–1242. 4 indexed citations
12.
Passini, Elisa, Alessandro Pellegrini, Enrico G. Caiani, & Stefano Severi. (2013). Computational analysis of Head-Down Bed Rest effects on cardiac action potential duration. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 40. 357–360. 2 indexed citations
13.
Passini, Elisa & Stefano Severi. (2013). Extracellular calcium and L-type calcium current inactivation mechanisms: A computational study. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 40. 839–842. 3 indexed citations
14.
Corsi, Cristiana, et al.. (2012). Validation of a novel method for non-invasive blood potassium quantification from the ECG. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 105–108. 11 indexed citations
15.
Passini, Elisa & Stefano Severi. (2012). Computational analysis of extracellular calcium effects on an improved human ventricular action potential model. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 39. 873–876. 3 indexed citations
16.
Kharche, Sanjay, et al.. (2012). Simulating the effects of serum potassium on the ECG. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 225–228. 4 indexed citations
17.
Nanni, Loris, et al.. (2011). Computer vision for human stem cell derived cardiomyocyte classification: The induced pluripotent vs embryonic stem cell case study. Computing in Cardiology. 569–572. 2 indexed citations
18.
Tarroni, Giacomo, et al.. (2011). Automatic quantification of cardiac scar extent from late gadolinium enhancement magnetic resonance imaging. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 405–408. 2 indexed citations
19.
Ruan, Yanfei, Marco Denegri, Nian Liu, et al.. (2010). Trafficking Defects and Gating Abnormalities of a Novel SCN5A Mutation Question Gene-Specific Therapy in Long QT Syndrome Type 3. Circulation Research. 106(8). 1374–1383. 63 indexed citations
20.
Grandi, Eleonora, Jośe L. Puglisi, Donald M. Bers, & Stefano Severi. (2006). Compound mutations in Long QT syndrome assessed by a computer model. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 201–204. 3 indexed citations

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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