Carla Spazzolini

8.8k total citations · 2 hit papers
34 papers, 3.8k citations indexed

About

Carla Spazzolini is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Carla Spazzolini has authored 34 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cardiology and Cardiovascular Medicine, 22 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Carla Spazzolini's work include Cardiac electrophysiology and arrhythmias (31 papers), Ion channel regulation and function (19 papers) and Receptor Mechanisms and Signaling (11 papers). Carla Spazzolini is often cited by papers focused on Cardiac electrophysiology and arrhythmias (31 papers), Ion channel regulation and function (19 papers) and Receptor Mechanisms and Signaling (11 papers). Carla Spazzolini collaborates with scholars based in Italy, United States and South Africa. Carla Spazzolini's co-authors include Peter J. Schwartz, Lia Crotti, Silvia G. Priori, Carlo Napolitano, Raffaella Bloise, Alessandro Vicentini, Massimiliano Grillo, Georgia Bottelli, Donata Cappelletti and E Ronchetti and has published in prestigious journals such as New England Journal of Medicine, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Carla Spazzolini

34 papers receiving 3.6k citations

Hit Papers

Risk Stratification in the Long-QT Syndrome 2003 2026 2010 2018 2003 2009 250 500 750

Peers

Carla Spazzolini
John R. Giudicessi United States
Carla Spazzolini
Citations per year, relative to Carla Spazzolini Carla Spazzolini (= 1×) peers John R. Giudicessi

Countries citing papers authored by Carla Spazzolini

Since Specialization
Citations

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

Fields of papers citing papers by Carla Spazzolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carla Spazzolini

This figure shows the co-authorship network connecting the top 25 collaborators of Carla Spazzolini. A scholar is included among the top collaborators of Carla Spazzolini 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 Carla Spazzolini. Carla Spazzolini 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.
Sarto, Patrizio, Lia Crotti, Federica Dagradi, et al.. (2025). TP-fusion at peak exercise: a novel marker for the recognition of unsuspected long QT syndrome patients. EP Europace. 27(7). 1 indexed citations
2.
Dusi, Veronica, Federica Dagradi, Carla Spazzolini, et al.. (2024). Long QT syndrome: importance of reassessing arrhythmic risk after treatment initiation. European Heart Journal. 45(29). 2647–2656. 15 indexed citations
3.
Shimamoto, Keiko, Federica Dagradi, Seiko Ohno, et al.. (2024). Clinical Features, Long-Term Prognosis, and Clinical Management of Genotype-Negative Long QT Syndrome Patients. JACC. Clinical electrophysiology. 10(12). 2584–2596. 6 indexed citations
4.
Kaizer, Alexander, Annika Winbo, Sally‐Ann B. Clur, et al.. (2023). Effects of cohort, genotype, variant, and maternal β-blocker treatment on foetal heart rate predictors of inherited long QT syndrome. EP Europace. 25(11). 5 indexed citations
5.
Dusi, Veronica, Luigi Pugliese, Gaetano Maria De Ferrari, et al.. (2021). Left Cardiac Sympathetic Denervation for Long QT Syndrome. JACC. Clinical electrophysiology. 8(3). 281–294. 34 indexed citations
6.
Cuneo, Bettina F., Alexander Kaizer, S. A. Clur, et al.. (2019). Mothers with long QT syndrome are at increased risk for fetal death: findings from a multicenter international study. American Journal of Obstetrics and Gynecology. 222(3). 263.e1–263.e11. 30 indexed citations
7.
Schwartz, Peter J., Massimiliano Gnecchi, Federica Dagradi, et al.. (2019). From patient-specific induced pluripotent stem cells to clinical translation in long QT syndrome Type 2. European Heart Journal. 40(23). 1832–1836. 64 indexed citations
8.
Leinonen, Jaakko T., Lia Crotti, Silvia Castelletti, et al.. (2017). The genetics underlying idiopathic ventricular fibrillation: A special role for catecholaminergic polymorphic ventricular tachycardia?. International Journal of Cardiology. 250. 139–145. 29 indexed citations
9.
Delise, Pietro, Giuseppe Allocca, Nadir Sitta, et al.. (2017). Cardiac arrest and Brugada syndrome: Is drug-induced type 1 ECG pattern always a marker of low risk?. International Journal of Cardiology. 254. 142–145. 8 indexed citations
10.
Castelletti, Silvia, Annina S. Vischer, Petros Syrris, et al.. (2017). Desmoplakin missense and non-missense mutations in arrhythmogenic right ventricular cardiomyopathy: Genotype-phenotype correlation. International Journal of Cardiology. 249. 268–273. 63 indexed citations
11.
Rordorf, Roberto, Simone Savastano, Antonio Sanzo, et al.. (2014). Tumor Necrosis Factor-α Predicts Response to Cardiac Resynchronization Therapy in Patients With Chronic Heart Failure. Circulation Journal. 78(9). 2232–2239. 22 indexed citations
12.
Savastano, Simone, Roberto Rordorf, Alessandro Vicentini, et al.. (2014). A comprehensive electrocardiographic, molecular, and echocardiographic study of Brugada syndrome: Validation of the 2013 diagnostic criteria. Heart Rhythm. 11(7). 1176–1183. 19 indexed citations
13.
Ciuffreda, Maria Chiara, Valerio Tolva, Renato Casana, et al.. (2014). Rat Experimental Model of Myocardial Ischemia/Reperfusion Injury: An Ethical Approach to Set up the Analgesic Management of Acute Post-Surgical Pain. PLoS ONE. 9(4). e95913–e95913. 15 indexed citations
14.
Calvillo, Laura, et al.. (2013). Propranolol prevents life-threatening arrhythmias in LQT3 transgenic mice: Implications for the clinical management of LQT3 patients. Heart Rhythm. 11(1). 126–132. 21 indexed citations
15.
Chockalingam, Priya, Lia Crotti, Giulia Girardengo, et al.. (2012). Not All Beta-Blockers Are Equal in the Management of Long QT Syndrome Types 1 and 2. Journal of the American College of Cardiology. 60(20). 2092–2099. 192 indexed citations
16.
Schwartz, Peter J., Marco Stramba‐Badiale, Lia Crotti, et al.. (2009). Prevalence of the Congenital Long-QT Syndrome. Circulation. 120(18). 1761–1767. 695 indexed citations breakdown →
17.
Schwartz, Peter J., Emilio Vanoli, Lia Crotti, et al.. (2008). Neural Control of Heart Rate Is an Arrhythmia Risk Modifier in Long QT Syndrome. Journal of the American College of Cardiology. 51(9). 920–929. 73 indexed citations
18.
Schwartz, Peter J., Carla Spazzolini, & Lia Crotti. (2008). All LQT3 patients need an ICD: True or false?. Heart Rhythm. 6(1). 113–120. 63 indexed citations
19.
Crotti, Lia, Carla Spazzolini, Peter J. Schwartz, et al.. (2007). The Common Long-QT Syndrome Mutation KCNQ1/A341V Causes Unusually Severe Clinical Manifestations in Patients With Different Ethnic Backgrounds. Circulation. 116(21). 2366–2375. 112 indexed citations
20.
Priori, Silvia G., Peter J. Schwartz, Carlo Napolitano, et al.. (2003). Risk Stratification in the Long-QT Syndrome. New England Journal of Medicine. 348(19). 1866–1874. 953 indexed citations breakdown →

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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