Amanda Varnava

4.4k total citations · 1 hit paper
35 papers, 2.6k citations indexed

About

Amanda Varnava is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Amanda Varnava has authored 35 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Amanda Varnava's work include Cardiomyopathy and Myosin Studies (13 papers), Cardiac electrophysiology and arrhythmias (12 papers) and ECG Monitoring and Analysis (8 papers). Amanda Varnava is often cited by papers focused on Cardiomyopathy and Myosin Studies (13 papers), Cardiac electrophysiology and arrhythmias (12 papers) and ECG Monitoring and Analysis (8 papers). Amanda Varnava collaborates with scholars based in United Kingdom, United States and Australia. Amanda Varnava's co-authors include William J. McKenna, Perry Elliott, Michael J. Davies, Peter Mills, Niall Mahon, Jan Poloniecki, Lorenzo Monserrat, Sanjay Sharma, Shaughan Dickie and Fergus Davison and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Amanda Varnava

29 papers receiving 2.5k citations

Hit Papers

Sudden death in hypertrophic cardiomyopathy: identificati... 2000 2026 2008 2017 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amanda Varnava United Kingdom 14 2.1k 417 416 286 265 35 2.6k
Avinoam Shiran Israel 21 975 0.5× 316 0.8× 474 1.1× 316 1.1× 107 0.4× 88 1.5k
Luís R. Lopes United Kingdom 26 1.6k 0.8× 186 0.4× 163 0.4× 95 0.3× 606 2.3× 134 1.9k
Peder Sörensson Sweden 23 870 0.4× 565 1.4× 284 0.7× 225 0.8× 167 0.6× 82 1.4k
Giovanni Quarta United Kingdom 18 1.7k 0.8× 634 1.5× 223 0.5× 62 0.2× 170 0.6× 27 2.2k
Hubert Seggewiß Germany 26 2.6k 1.2× 84 0.2× 275 0.7× 228 0.8× 191 0.7× 106 2.8k
Gregory B. Wright United States 13 615 0.3× 89 0.2× 176 0.4× 196 0.7× 241 0.9× 18 1.1k
E. E. van der Wall Netherlands 21 902 0.4× 928 2.2× 394 0.9× 226 0.8× 95 0.4× 94 1.6k
Elaine L. Shelton United States 17 186 0.1× 377 0.9× 148 0.4× 248 0.9× 293 1.1× 45 958
Andreas Rück Sweden 16 680 0.3× 204 0.5× 336 0.8× 190 0.7× 282 1.1× 70 1.1k
Antoine Legendre France 15 580 0.3× 61 0.1× 278 0.7× 510 1.8× 116 0.4× 43 988

Countries citing papers authored by Amanda Varnava

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Varnava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda Varnava

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda Varnava. A scholar is included among the top collaborators of Amanda Varnava 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 Amanda Varnava. Amanda Varnava 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.
Artico, Jessica, et al.. (2025). The Arrhythmic Mitral Valve Prolapse Syndrome. JACC Case Reports. 30(12). 103419–103419.
2.
Sau, Arunashis, Joseph Barker, Norman Qureshi, et al.. (2025). Impact of Pulmonary Vein Isolation on Atrial Fibrillation Organisation: Correlation of Intracardiac and Surface Electrocardiogram Measures. Journal of Cardiovascular Electrophysiology. 36(10). 2529–2538.
3.
Rijdt, Wouter P. te, Ahmad S. Amin, Déborah Morris-Rosendahl, et al.. (2025). High incidence of malignant arrhythmias and heart failure in patients with RBM20-associated cardiomyopathy: A multicenter cohort study and review of the literature. International Journal of Cardiology. 434. 133350–133350.
4.
Leong, Kevin, Matthew Shun‐Shin, Oliver Guttmann, et al.. (2024). The arrhythmic substrate of hypertrophic cardiomyopathy using ECG imaging. Frontiers in Physiology. 15. 1428709–1428709. 2 indexed citations
5.
Sau, Arunashis, Daniel B. Kramer, Jonathan W. Waks, et al.. (2023). Artificial intelligence–enabled electrocardiogram to distinguish atrioventricular re-entrant tachycardia from atrioventricular nodal re-entrant tachycardia. PubMed. 4(2). 60–67. 9 indexed citations
6.
Sau, Arunashis, Ian Wright, Xinyang Li, et al.. (2023). Machine learning-derived cycle length variability metrics predict spontaneously terminating ventricular tachycardia in implantable cardioverter defibrillator recipients. European Heart Journal - Digital Health. 5(1). 50–59. 1 indexed citations
7.
Leong, Kevin, Momina Yazdani, Matthew Shun‐Shin, et al.. (2021). A Multicenter External Validation of a Score Model to Predict Risk of Events in Patients With Brugada Syndrome. The American Journal of Cardiology. 160. 53–59. 5 indexed citations
8.
Birnie, David H., Rob Beanlands, Pablo B. Nery, et al.. (2019). Cardiac Sarcoidosis multi-center randomized controlled trial (CHASM CS- RCT). American Heart Journal. 220. 246–252. 68 indexed citations
9.
Leong, Kevin, Henry Seligman, & Amanda Varnava. (2017). Proarrhythmogenic effects of lamotrigine during ajmaline testing for Brugada syndrome. HeartRhythm Case Reports. 3(3). 167–171. 10 indexed citations
11.
Leong, Kevin, Fu Siong Ng, Caroline H. Roney, et al.. (2017). Repolarization abnormalities unmasked with exercise in sudden cardiac death survivors with structurally normal hearts. Journal of Cardiovascular Electrophysiology. 29(1). 115–126. 21 indexed citations
12.
13.
Ismail, Tevfik F., Andrew Jabbour, Ankur Gulati, et al.. (2013). Late gadolinium enhancement cardiovascular magnetic resonance for sudden cardiac death risk stratification in hypertrophic cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 15. O67–O67. 1 indexed citations
14.
Varnava, Amanda, et al.. (2002). Relationship between coronary artery remodeling and plaque vulnerability. ACC Current Journal Review. 11(4). 35–35. 4 indexed citations
15.
Varnava, Amanda, et al.. (2002). Restricted weekend service inappropriately delays discharge after acute myocardial infarction. Heart. 87(3). 216–219. 53 indexed citations
17.
Varnava, Amanda, Perry Elliott, Niall Mahon, Michael J. Davies, & William J. McKenna. (2001). Relation between myocyte disarray and outcome in hypertrophic cardiomyopathy. The American Journal of Cardiology. 88(3). 275–279. 203 indexed citations
18.
Varnava, Amanda. (2000). Hypertrophic cardiomyopathy: the interrelation of disarray, fibrosis, and small vessel disease. Heart. 84(5). 476–482. 322 indexed citations
19.
Elliott, Perry, Jan Poloniecki, Shaughan Dickie, et al.. (2000). Sudden death in hypertrophic cardiomyopathy: identification of high risk patients. Journal of the American College of Cardiology. 36(7). 2212–2218. 635 indexed citations breakdown →
20.
Elliott, Perry, Sanjay Sharma, Amanda Varnava, et al.. (1999). Survival after cardiac arrest or sustained ventricular tachycardia in patients with hypertrophic cardiomyopathy. Journal of the American College of Cardiology. 33(6). 1596–1601. 160 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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