Shahnaz Jamil‐Copley

1.1k total citations
24 papers, 578 citations indexed

About

Shahnaz Jamil‐Copley is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Shahnaz Jamil‐Copley has authored 24 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Surgery. Recurrent topics in Shahnaz Jamil‐Copley's work include Cardiac Arrhythmias and Treatments (19 papers), Atrial Fibrillation Management and Outcomes (16 papers) and Cardiac electrophysiology and arrhythmias (13 papers). Shahnaz Jamil‐Copley is often cited by papers focused on Cardiac Arrhythmias and Treatments (19 papers), Atrial Fibrillation Management and Outcomes (16 papers) and Cardiac electrophysiology and arrhythmias (13 papers). Shahnaz Jamil‐Copley collaborates with scholars based in United Kingdom, United States and Italy. Shahnaz Jamil‐Copley's co-authors include Nicholas S. Peters, Prapa Kanagaratnam, Phang Boon Lim, Michael Koa‐Wing, Wenjia Bai, Daniel Rueckert, Pipin Kojodjojo, Dárrel P. Francis, Haiyan Wang and Tong Tong and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and Journal of The Royal Society Interface.

In The Last Decade

Shahnaz Jamil‐Copley

22 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shahnaz Jamil‐Copley United Kingdom 11 450 123 103 36 32 24 578
Matthew Sinclair United Kingdom 12 173 0.4× 230 1.9× 60 0.6× 87 2.4× 65 2.0× 23 395
Thomas Dietenbeck France 10 208 0.5× 167 1.4× 130 1.3× 64 1.8× 20 0.6× 36 353
Xiaowei Ding China 8 110 0.2× 96 0.8× 37 0.4× 21 0.6× 63 2.0× 16 234
Jeannette Fares France 6 214 0.5× 147 1.2× 57 0.6× 29 0.8× 22 0.7× 10 293
Carlo Biffi United Kingdom 5 72 0.2× 114 0.9× 58 0.6× 38 1.1× 15 0.5× 8 194
K. Y. Esther Leung Netherlands 11 144 0.3× 169 1.4× 110 1.1× 63 1.8× 48 1.5× 21 270
Stéphanie Clément-Guinaudeau France 6 148 0.3× 142 1.2× 55 0.5× 19 0.5× 28 0.9× 17 231
Jean‐Michel Rouet France 6 84 0.2× 81 0.7× 110 1.1× 76 2.1× 21 0.7× 15 262
Rosa-María Menchón-Lara Spain 8 149 0.3× 132 1.1× 59 0.6× 34 0.9× 14 0.4× 15 243
Sebastián Ordás Spain 9 120 0.3× 184 1.5× 245 2.4× 100 2.8× 13 0.4× 17 368

Countries citing papers authored by Shahnaz Jamil‐Copley

Since Specialization
Citations

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

Fields of papers citing papers by Shahnaz Jamil‐Copley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shahnaz Jamil‐Copley. 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 Shahnaz Jamil‐Copley. The network helps show where Shahnaz Jamil‐Copley may publish in the future.

Co-authorship network of co-authors of Shahnaz Jamil‐Copley

This figure shows the co-authorship network connecting the top 25 collaborators of Shahnaz Jamil‐Copley. A scholar is included among the top collaborators of Shahnaz Jamil‐Copley 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 Shahnaz Jamil‐Copley. Shahnaz Jamil‐Copley 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.
Erhayiem, Bara, et al.. (2024). Myocardial Scar Imaging: Viability Beyond REVIVED. Current Cardiovascular Imaging Reports. 17(10-12). 107–114.
2.
Staniforth, Andrew, et al.. (2023). Hybrid surgical epicardial cryoablation for ventricular tachycardia in the electrophysiology laboratory: a case report. European Heart Journal - Case Reports. 7(5). ytad223–ytad223.
3.
Erhayiem, Bara, et al.. (2023). The Nottingham Ischaemic Cardiovascular Magnetic Resonance resource (NotIs CMR): a prospective paired clinical and imaging scar database—protocol. Journal of Cardiovascular Magnetic Resonance. 25(1). 69–69. 1 indexed citations
4.
Rogers, Steven K., Magdi El‐Omar, Nicholas F. Kelland, et al.. (2022). Deep Vein Thrombosis is Common After Cardiac Ablation and Pre-Procedural D-Dimer Could Predict Risk. Heart Lung and Circulation. 31(7). 1015–1022. 2 indexed citations
5.
Podlasek, Anna, et al.. (2021). Diagnostic utility of artificial intelligence for left ventricular scar identification using cardiac magnetic resonance imaging—A systematic review. SHILAP Revista de lepidopterología. 2(6). S21–S29. 10 indexed citations
6.
Katritsis, George, Vishal Luther, Nuno Cortez‐Dias, et al.. (2021). Electroanatomic Characterization and Ablation of Scar-Related Isthmus Sites Supporting Perimitral Flutter. JACC. Clinical electrophysiology. 7(5). 578–590. 7 indexed citations
7.
Katritsis, George, Vishal Luther, Shahnaz Jamil‐Copley, et al.. (2021). Postinfarct ventricular tachycardia substrate: Characterization and ablation of conduction channels using ripple mapping. Heart Rhythm. 18(10). 1682–1690. 6 indexed citations
8.
Bruce, Charles J., Steven K. Rogers, Graham Kirkwood, et al.. (2020). P1450Deep vein thrombosis after right sided catheter ablation; more common then previously thought?. EP Europace. 22(Supplement_1). 1 indexed citations
9.
Luther, Vishal, Norman Qureshi, Phang Boon Lim, et al.. (2018). Isthmus sites identified by Ripple Mapping are usually anatomically stable: A novel method to guide atrial substrate ablation?. Journal of Cardiovascular Electrophysiology. 29(3). 404–411. 6 indexed citations
10.
Luther, Vishal, Nick Linton, Shahnaz Jamil‐Copley, et al.. (2016). A Prospective Study of Ripple Mapping the Post-Infarct Ventricular Scar to Guide Substrate Ablation for Ventricular Tachycardia. Circulation Arrhythmia and Electrophysiology. 9(6). 39 indexed citations
11.
Luther, Vishal, Nick Linton, Michael Koa‐Wing, et al.. (2016). A Prospective Study of Ripple Mapping in Atrial Tachycardias. Circulation Arrhythmia and Electrophysiology. 9(1). e003582–e003582. 24 indexed citations
12.
Koa‐Wing, Michael, Hiroshi Nakagawa, Vishal Luther, et al.. (2015). A diagnostic algorithm to optimize data collection and interpretation of Ripple Maps in atrial tachycardias. International Journal of Cardiology. 199. 391–400. 11 indexed citations
13.
Luther, Vishal, Shahnaz Jamil‐Copley, Michael Koa‐Wing, et al.. (2015). Non-randomised comparison of acute and long-term outcomes of robotic versus manual ventricular tachycardia ablation in a single centre ischemic cohort. Journal of Interventional Cardiac Electrophysiology. 43(2). 175–185. 3 indexed citations
14.
Jamil‐Copley, Shahnaz, Pipin Kojodjojo, Norman Qureshi, et al.. (2014). Noninvasive electrocardiographic mapping to guide ablation of outflow tract ventricular arrhythmias. Heart Rhythm. 11(4). 587–594. 60 indexed citations
15.
Koa‐Wing, Michael, Shahnaz Jamil‐Copley, Ben Ariff, et al.. (2014). Haemorrhagic cerebral air embolism from an atrio-oesophageal fistula following atrial fibrillation ablation. Perfusion. 30(6). 484–486. 4 indexed citations
16.
Malcolme‐Lawes, Louisa, Phang Boon Lim, Ian Wright, et al.. (2013). Characterization of the Left Atrial Neural Network and its Impact on Autonomic Modification Procedures. Circulation Arrhythmia and Electrophysiology. 6(3). 632–640. 44 indexed citations
17.
Bai, Wenjia, Declan P. O’Regan, Tong Tong, et al.. (2013). A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images. IEEE Transactions on Medical Imaging. 32(7). 1302–1315. 141 indexed citations
18.
Malcolme‐Lawes, Louisa, Christoph Juli, Rashed Karim, et al.. (2013). Automated analysis of atrial late gadolinium enhancement imaging that correlates with endocardial voltage and clinical outcomes: A 2-center study. Heart Rhythm. 10(8). 1184–1191. 113 indexed citations
19.
Malcolme‐Lawes, Louisa, Phang Boon Lim, Michael Koa‐Wing, et al.. (2012). Robotic assistance and general anaesthesia improve catheter stability and increase signal attenuation during atrial fibrillation ablation. EP Europace. 15(1). 41–47. 23 indexed citations
20.
Jamil‐Copley, Shahnaz, et al.. (2010). Use of Ivabradine in Postural Orthostatic Tachycardia Syndrome.. PubMed. 3(2). 273–273. 5 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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