Patrick M. Boyle

6.1k total citations
163 papers, 4.1k citations indexed

About

Patrick M. Boyle is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Patrick M. Boyle has authored 163 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Cardiology and Cardiovascular Medicine, 30 papers in Cellular and Molecular Neuroscience and 29 papers in Molecular Biology. Recurrent topics in Patrick M. Boyle's work include Cardiac electrophysiology and arrhythmias (55 papers), Cardiac Arrhythmias and Treatments (36 papers) and Atrial Fibrillation Management and Outcomes (32 papers). Patrick M. Boyle is often cited by papers focused on Cardiac electrophysiology and arrhythmias (55 papers), Cardiac Arrhythmias and Treatments (36 papers) and Atrial Fibrillation Management and Outcomes (32 papers). Patrick M. Boyle collaborates with scholars based in United States, Canada and United Kingdom. Patrick M. Boyle's co-authors include Natalia A. Trayanova, Pamela A. Silver, Christina M. Agapakis, Edward J. Vigmond, Sohail Zahid, Thomas V. Karathanos, Gernot Plank, Hermenegild Arevalo, Emilia Entcheva and Adityo Prakosa and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Patrick M. Boyle

147 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick M. Boyle United States 35 1.9k 1.1k 713 663 344 163 4.1k
Yongming Wang China 38 454 0.2× 2.9k 2.5× 260 0.4× 799 1.2× 80 0.2× 190 5.4k
Jonathan R. Silva United States 25 1.2k 0.6× 1.3k 1.1× 537 0.8× 319 0.5× 61 0.2× 75 2.2k
Matthew T. Wheeler United States 33 1.7k 0.9× 1.7k 1.4× 155 0.2× 364 0.5× 137 0.4× 137 4.7k
Andrew A. Hicks United States 46 392 0.2× 2.3k 2.0× 969 1.4× 338 0.5× 52 0.2× 207 7.9k
Ming Qi China 29 349 0.2× 1.6k 1.4× 428 0.6× 237 0.4× 227 0.7× 140 3.3k
John Duffy United States 28 1.0k 0.5× 3.4k 3.0× 289 0.4× 95 0.1× 150 0.4× 102 5.2k
Harold V.M. van Rijen Netherlands 36 2.4k 1.3× 2.7k 2.4× 292 0.4× 167 0.3× 145 0.4× 86 4.8k
Edmund J. Crampin New Zealand 31 662 0.4× 2.1k 1.9× 236 0.3× 529 0.8× 80 0.2× 119 3.6k
Evan D. Muse United States 25 739 0.4× 674 0.6× 93 0.1× 351 0.5× 225 0.7× 54 3.8k
Fei Xie China 39 149 0.1× 3.6k 3.1× 206 0.3× 191 0.3× 165 0.5× 276 5.9k

Countries citing papers authored by Patrick M. Boyle

Since Specialization
Citations

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

Fields of papers citing papers by Patrick M. Boyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick M. Boyle. 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 Patrick M. Boyle. The network helps show where Patrick M. Boyle may publish in the future.

Co-authorship network of co-authors of Patrick M. Boyle

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick M. Boyle. A scholar is included among the top collaborators of Patrick M. Boyle 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 Patrick M. Boyle. Patrick M. Boyle 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.
Ali, Rheeda L., Adityo Prakosa, Patrick M. Boyle, et al.. (2025). Role of Structural Versus Cellular Remodeling in Atrial Arrhythmogenesis: Insights From Personalized Digital Twins. Circulation Arrhythmia and Electrophysiology. 18(9). e013898–e013898.
2.
Chahine, Yaacoub, et al.. (2025). Effect of Catheter Ablation for Atrial Fibrillation on Epicardial Adipose Tissue. JACC. Clinical electrophysiology. 11(7). 1619–1621.
3.
Bhagirath, Pranav, Marina Strocchi, Martin J. Bishop, Patrick M. Boyle, & Gernot Plank. (2024). From bits to bedside: entering the age of digital twins in cardiac electrophysiology. EP Europace. 26(12). 20 indexed citations
4.
Bradley, Ryan, Adityo Prakosa, Patrick M. Boyle, et al.. (2024). Assessing the arrhythmogenic propensity of fibrotic substrate using digital twins to inform a mechanisms-based atrial fibrillation ablation strategy. Nature Cardiovascular Research. 3(7). 857–868. 19 indexed citations
5.
Linnes, Jacqueline C., Erika Moore, Ana Maria Porras, et al.. (2024). Framework for department-level accountability to diversify engineering. Nature Reviews Bioengineering. 2(6). 521–530. 1 indexed citations
6.
Chahine, Yaacoub, et al.. (2023). Machine Learning and the Conundrum of Stroke Risk Prediction. Arrhythmia & Electrophysiology Review. 12. e07–e07. 20 indexed citations
7.
Coult, Jason, Betty Yang, Heemun Kwok, et al.. (2023). Prediction of Shock-Refractory Ventricular Fibrillation During Resuscitation of Out-of-Hospital Cardiac Arrest. Circulation. 148(4). 327–335. 15 indexed citations
8.
Chahine, Yaacoub, et al.. (2022). Cryoballoon temperature parameters during cryoballoon ablation predict pulmonary vein reconnection and atrial fibrillation recurrence. Journal of Interventional Cardiac Electrophysiology. 66(6). 1367–1373. 5 indexed citations
9.
Roney, Caroline H., Steven Niederer, Christian Mahnkopf, et al.. (2020). Abstract 14899: Personalized Computational Modeling Identifies Embolic Stroke of Undetermined Source Patients With Potential Arrhythmic Substrate. Circulation. 142(Suppl_3). 1 indexed citations
10.
11.
Nikolov, Plamen, et al.. (2019). Computational Identification of Ventricular Arrhythmia Risk in Pediatric Myocarditis. Pediatric Cardiology. 40(4). 857–864. 22 indexed citations
12.
Boyle, Patrick M., Tarek Zghaib, Sohail Zahid, et al.. (2019). Computationally guided personalized targeted ablation of persistent atrial fibrillation. Nature Biomedical Engineering. 3(11). 870–879. 198 indexed citations
13.
Duncan, Michael B., Changqing Yang, Harikrishna Tanjore, et al.. (2013). Type XVIII collagen is essential for survival during acute liver injury in mice. Disease Models & Mechanisms. 6(4). 942–51. 26 indexed citations
14.
Boyle, Patrick M., et al.. (2013). Abstract 14943: High-Throughput Contactless Optogenetic Assay for Cellular Coupling: Illustration by Chr2-Light-Sensitized Cardiac Fibroblasts and Cardiomyocytes. Circulation. 4 indexed citations
15.
Boyle, Patrick M.. (2011). Immigration and Evangelism in the British Union of Seventh-day Adventists. Journal of Adventist Mission Studies. 7(2). 23–30. 1 indexed citations
16.
Boyle, Patrick M.. (2011). New measurements of the composition and energy spectra of cosmic-ray nuclei with TRACER. International Cosmic Ray Conference. 6. 55. 1 indexed citations
17.
Jacenko, Olena, et al.. (1997). Craniofacial abnormalities in mice carrying a dominant interference mutation in type X collagen. Developmental Dynamics. 208(4). 544–552. 2 indexed citations
18.
Jacenko, Olena, et al.. (1997). Craniofacial abnormalities in mice carrying a dominant interference mutation in type X collagen. Developmental Dynamics. 208(4). 544–552. 19 indexed citations
19.
Balla, John & Patrick M. Boyle. (1994). Assessment of Student Performance: a framework for improving practice. Assessment & Evaluation in Higher Education. 19(1). 17–28. 27 indexed citations
20.
Boyle, Patrick M.. (1992). Beyond Self-Protection to Prophecy: The Catholic Church and Political Change in Zaire. Africa Today. 39(3). 49–66. 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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