Mark O’Neill

11.5k total citations
228 papers, 5.8k citations indexed

About

Mark O’Neill is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Mark O’Neill has authored 228 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 203 papers in Cardiology and Cardiovascular Medicine, 40 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Epidemiology. Recurrent topics in Mark O’Neill's work include Cardiac Arrhythmias and Treatments (154 papers), Atrial Fibrillation Management and Outcomes (127 papers) and Cardiac electrophysiology and arrhythmias (112 papers). Mark O’Neill is often cited by papers focused on Cardiac Arrhythmias and Treatments (154 papers), Atrial Fibrillation Management and Outcomes (127 papers) and Cardiac electrophysiology and arrhythmias (112 papers). Mark O’Neill collaborates with scholars based in United Kingdom, France and United States. Mark O’Neill's co-authors include Pierre Jaı̈s, Matthew Wright, Mélèze Hocini, Steven E. Williams, Jacques Clémenty, Frédéric Sacher, Reza Razavi, John Whitaker, Michel Haı̈ssaguerre and Steven Niederer 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

Mark O’Neill

219 papers receiving 5.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mark O’Neill 5.1k 696 325 244 242 228 5.8k
Matthew Wright 4.7k 0.9× 486 0.7× 379 1.2× 168 0.7× 434 1.8× 164 5.6k
Timm Dickfeld 5.2k 1.0× 1.1k 1.6× 572 1.8× 319 1.3× 387 1.6× 64 5.9k
Antonio Berruezo 6.5k 1.3× 858 1.2× 347 1.1× 129 0.5× 334 1.4× 227 6.9k
Lucas V.A. Boersma 7.9k 1.6× 670 1.0× 631 1.9× 230 0.9× 298 1.2× 226 8.2k
Kenneth M. Steín 6.8k 1.3× 601 0.9× 783 2.4× 366 1.5× 270 1.1× 208 7.7k
Rik Willems 4.5k 0.9× 577 0.8× 594 1.8× 277 1.1× 511 2.1× 277 5.3k
Stephan Willems 7.1k 1.4× 310 0.4× 664 2.0× 253 1.0× 313 1.3× 362 7.7k
Moussa Mansour 5.6k 1.1× 634 0.9× 334 1.0× 323 1.3× 100 0.4× 165 6.1k
Pyotr G. Platonov 4.2k 0.8× 374 0.5× 220 0.7× 130 0.5× 326 1.3× 240 4.6k
Hiroshi Ashikaga 3.4k 0.7× 1.0k 1.5× 291 0.9× 253 1.0× 191 0.8× 114 3.8k

Countries citing papers authored by Mark O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Mark O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark O’Neill. 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 Mark O’Neill. The network helps show where Mark O’Neill may publish in the future.

Co-authorship network of co-authors of Mark O’Neill

This figure shows the co-authorship network connecting the top 25 collaborators of Mark O’Neill. A scholar is included among the top collaborators of Mark O’Neill 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 Mark O’Neill. Mark O’Neill 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.
Burns, Rachel, Irum Kotadia, Ali Gharaviri, et al.. (2025). GenECG: a synthetic image-based ECG dataset to augment artificial intelligence-enhanced algorithm development. BMJ Health & Care Informatics. 32(1). e101335–e101335.
2.
3.
Lee, Angela, Steven E. Williams, Reza Razavi, et al.. (2024). Structural phenotyping in atrial fibrillation with combined cardiac CT and atrial MRI: Identifying and differentiating individual structural remodelling types in AF. Journal of Cardiovascular Electrophysiology. 35(9). 1788–1796.
4.
Kotadia, Irum, Ali Gharaviri, Fernando Zelaya, et al.. (2023). The Impact of Atrial Fibrillation Treatment Strategies on Cognitive Function. Journal of Clinical Medicine. 12(9). 3050–3050. 9 indexed citations
5.
Solís-Lemus, José Alonso, Ali Gharaviri, Orod Razeghi, et al.. (2023). Evaluation of an open-source pipeline to create patient-specific left atrial models: A reproducibility study. Computers in Biology and Medicine. 162. 107009–107009. 13 indexed citations
6.
Kotadia, Irum, Caroline H. Roney, Richard Parker, et al.. (2023). AF and in-hospital mortality in COVID-19 patients. Heart Rhythm O2. 4(11). 700–707. 3 indexed citations
7.
O’Neill, Louisa, et al.. (2022). In Vivo Analysis of Conduction Pattern Dynamics: System Development and Application Using OpenEP. Computing in cardiology. 49.
8.
Campos, Fernando O., Aurel Neic, Caroline Mendonça Costa, et al.. (2022). An automated near-real time computational method for induction and treatment of scar-related ventricular tachycardias. Medical Image Analysis. 80. 102483–102483. 14 indexed citations
9.
Rodero, Cristóbal, Marina Strocchi, M Marciniak, et al.. (2021). Linking statistical shape models and simulated function in the healthy adult human heart. PLoS Computational Biology. 17(4). e1008851–e1008851. 58 indexed citations
10.
Costa, Caroline Mendonça, Mark K. Elliott, John Whitaker, et al.. (2021). Determining anatomical and electrophysiological detail requirements for computational ventricular models of porcine myocardial infarction. Computers in Biology and Medicine. 141. 105061–105061. 10 indexed citations
11.
Strocchi, Marina, Cristóbal Rodero, Karli Gillette, et al.. (2020). In-silico pace-mapping using a detailed whole torso model and implanted electronic device electrograms for more efficient ablation planning. Computers in Biology and Medicine. 125. 104005–104005. 11 indexed citations
12.
Hill, Nathan R., Daniel Ayoubkhani, Phil McEwan, et al.. (2019). Predicting atrial fibrillation in primary care using machine learning. PLoS ONE. 14(11). e0224582–e0224582. 90 indexed citations
13.
Gould, Justin, Bradley Porter, Benjamin Sieniewicz, et al.. (2018). Transvenous lead extraction in patients with cardiac resynchronization therapy devices is not associated with increased 30-day mortality. EP Europace. 21(6). 928–936. 10 indexed citations
14.
Sohal, Manav, Steven E. Williams, Majid Niaz Akhtar, et al.. (2013). Laser lead extraction to facilitate cardiac implantable electronic device upgrade and revision in the presence of central venous obstruction. EP Europace. 16(1). 81–87. 31 indexed citations
15.
Sébag, F., Nick Linton, Sana Amraoui, et al.. (2013). Persistent atrial fibrillation presenting in sinus rhythm: Pulmonary vein isolation versus pulmonary vein isolation plus electrogram-guided ablation. Archives of cardiovascular diseases. 106(10). 501–510. 1 indexed citations
16.
Hocini, Mélèze, Isabelle Nault, Matthew Wright, et al.. (2010). Disparate Evolution of Right and Left Atrial Rate During Ablation of Long-Lasting Persistent Atrial Fibrillation. Journal of the American College of Cardiology. 55(10). 1007–1016. 100 indexed citations
17.
Matsuo, Seiichiro, Nicolas Lellouche, Matthew Wright, et al.. (2009). Clinical Predictors of Termination and Clinical Outcome of Catheter Ablation for Persistent Atrial Fibrillation. Journal of the American College of Cardiology. 54(9). 788–795. 150 indexed citations
18.
Clémenty, Jacques, Mélèze Hocini, Mark O’Neill, et al.. (2007). Phrenic Nerve Injury After Catheter Ablation of Atrial Fibrillation. SHILAP Revista de lepidopterología. 22 indexed citations
19.
Sacher, Frédéric, Isabelle Denjoy, Jean‐Paul Albenque, et al.. (2006). P6-62. Heart Rhythm. 3(5). S322–S322. 1 indexed citations
20.
Vejlstrup, Niels, Mark O’Neill, B Nagyová, & Keith L. Dorrington. (1997). Time Course of Hypoxic Pulmonary Vasoconstriction: A Rabbit Model of Regional Hypoxia. American Journal of Respiratory and Critical Care Medicine. 155(1). 216–221. 21 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Matthew Wright Breakdown of academic impact, for papers by Timm Dickfeld Breakdown of academic impact, for papers by Antonio Berruezo Breakdown of academic impact, for papers by Lucas V.A. Boersma Breakdown of academic impact, for papers by Kenneth M. Steín Breakdown of academic impact, for papers by Rik Willems Breakdown of academic impact, for papers by Stephan Willems Breakdown of academic impact, for papers by Moussa Mansour Breakdown of academic impact, for papers by Pyotr G. Platonov Breakdown of academic impact, for papers by Hiroshi Ashikaga
Rankless by CCL
2026