Oleg Aslanidi

2.3k total citations
86 papers, 1.6k citations indexed

About

Oleg Aslanidi is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Oleg Aslanidi has authored 86 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Cardiology and Cardiovascular Medicine, 14 papers in Molecular Biology and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Oleg Aslanidi's work include Cardiac electrophysiology and arrhythmias (53 papers), Atrial Fibrillation Management and Outcomes (44 papers) and Cardiac Arrhythmias and Treatments (33 papers). Oleg Aslanidi is often cited by papers focused on Cardiac electrophysiology and arrhythmias (53 papers), Atrial Fibrillation Management and Outcomes (44 papers) and Cardiac Arrhythmias and Treatments (33 papers). Oleg Aslanidi collaborates with scholars based in United Kingdom, United States and Russia. Oleg Aslanidi's co-authors include Henggui Zhang, Mark R. Boyett, Michael A. Colman, Jules C. Hancox, Arun V. Holden, Marta Varela, Halina Dobrzynski, Henry Chubb, Alan P. Benson and Jonathan Stott and has published in prestigious journals such as Physical Review Letters, Circulation Research and The Journal of Physiology.

In The Last Decade

Oleg Aslanidi

83 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oleg Aslanidi United Kingdom 24 1.3k 426 174 154 95 86 1.6k
Mark Potse Netherlands 25 2.1k 1.6× 518 1.2× 141 0.8× 244 1.6× 164 1.7× 105 2.3k
Chris P. Bradley New Zealand 18 808 0.6× 290 0.7× 87 0.5× 182 1.2× 197 2.1× 44 1.2k
Sergey Mironov United States 23 1.4k 1.1× 546 1.3× 317 1.8× 283 1.8× 167 1.8× 45 1.8k
Hermenegild Arevalo United States 21 1.4k 1.1× 292 0.7× 282 1.6× 373 2.4× 228 2.4× 57 1.8k
J.M. Ferrero Spain 19 982 0.8× 499 1.2× 162 0.9× 97 0.6× 105 1.1× 114 1.2k
Mark L. Trew New Zealand 16 749 0.6× 180 0.4× 142 0.8× 171 1.1× 185 1.9× 75 1.1k
Jérôme Kalifa United States 29 2.6k 2.0× 306 0.7× 97 0.6× 189 1.2× 115 1.2× 68 3.0k
Olivier Bernus France 28 2.0k 1.6× 723 1.7× 317 1.8× 438 2.8× 285 3.0× 133 2.7k
David E. Krummen United States 26 3.4k 2.7× 154 0.4× 61 0.4× 167 1.1× 164 1.7× 117 3.6k
C Kirchhof Netherlands 26 4.9k 3.8× 766 1.8× 219 1.3× 187 1.2× 34 0.4× 54 5.1k

Countries citing papers authored by Oleg Aslanidi

Since Specialization
Citations

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

Fields of papers citing papers by Oleg Aslanidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oleg Aslanidi

This figure shows the co-authorship network connecting the top 25 collaborators of Oleg Aslanidi. A scholar is included among the top collaborators of Oleg Aslanidi 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 Oleg Aslanidi. Oleg Aslanidi 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.
Lip, Gregory Y H, et al.. (2025). MRI-based modelling of left atrial flow and coagulation to predict risk of thrombogenesis in atrial fibrillation. Medical Image Analysis. 101. 103475–103475. 5 indexed citations
2.
Lip, Gregory Y.H., et al.. (2023). Imaging and biophysical modelling of thrombogenic mechanisms in atrial fibrillation and stroke. Frontiers in Cardiovascular Medicine. 9. 1074562–1074562. 19 indexed citations
3.
Williams, Steven E., et al.. (2023). The impact of aging and atrial fibrillation on thrombus formation in-silico. European Heart Journal. 44(Supplement_2). 2 indexed citations
4.
Williams, Steven, et al.. (2022). Modelling Virchow's Triad to Improve Stroke Risk Assessment in Atrial Fibrillation Patients. Computing in cardiology. 49. 2 indexed citations
5.
Pitcher, David S., Catherine Mansfield, Catherine Williamson, et al.. (2020). Prolonged ursodeoxycholic acid administration reduces acute ischaemia-induced arrhythmias in adult rat hearts. Scientific Reports. 10(1). 15284–15284. 12 indexed citations
6.
Karim, Rashed, Jiro Inoue, Qian Tao, et al.. (2018). Algorithms for left atrial wall segmentation and thickness – Evaluation on an open-source CT and MRI image database. Medical Image Analysis. 50. 36–53. 33 indexed citations
7.
Varela, Marta, et al.. (2018). Image-Based Computational Evaluation of the Effects of Atrial Wall Thickness and Fibrosis on Re-entrant Drivers for Atrial Fibrillation. Frontiers in Physiology. 9. 1352–1352. 40 indexed citations
8.
Dillon-Murphy, Desmond, David Marlevi, Bram Ruijsink, et al.. (2018). Modeling Left Atrial Flow, Energy, Blood Heating Distribution in Response to Catheter Ablation Therapy. Frontiers in Physiology. 9. 1757–1757. 24 indexed citations
9.
10.
Colman, Michael A., et al.. (2014). Evaluating effects of fibrosis in atrial arrhythmogenesis using 3D computational modelling. Research Portal (King's College London). 41. 765–768. 2 indexed citations
11.
Higham, Jonathan, Oleg Aslanidi, & Henggui Zhang. (2011). Large speed increase using novel GPU based algorithms to simulate cardiac excitation waves in 3D rabbit ventricles. Lancaster EPrints (Lancaster University). 38. 9–12. 4 indexed citations
12.
13.
Aslanidi, Oleg, Michael A. Colman, Jonathan Stott, et al.. (2011). 3D virtual human atria: A computational platform for studying clinical atrial fibrillation. Progress in Biophysics and Molecular Biology. 107(1). 156–168. 110 indexed citations
14.
Aslanidi, Oleg, et al.. (2010). Response: Optimal Velocity Can Arise from Various Discontinuities. Biophysical Journal. 98(12). 3104–3105. 1 indexed citations
15.
Gilbert, Stephen, Michael D. Ries, Oleg Aslanidi, et al.. (2008). 0.2 mm cubic voxel reconstruction of rabbit heart geometry and architecture using diffusion tensor magnetic resonance imaging. Proceedings of The Physiological Society. 1 indexed citations
16.
17.
Aslanidi, Oleg, Mark R. Boyett, & H. Zhang. (2006). Computer reconstruction of the cardiac pacemaker. Research Portal (King's College London). 33. 9–12. 1 indexed citations
18.
Kazachenko, V.N., et al.. (2003). Employment of the wavelet transformation for analysis of single ion channel activity. Биологические мембраны Журнал мембранной и клеточной биологии. 20(4). 359–368. 4 indexed citations
19.
Aslanidi, Oleg, et al.. (2002). Low-voltage defibrillation in bidomain virtual ventricular tissue. Computing in Cardiology. 29. 255–258. 1 indexed citations
20.
Aslanidi, Oleg, et al.. (2002). A Model for Glucose-induced Wave Propagation in Pancreatic Islets of Langerhans. Journal of Theoretical Biology. 215(3). 273–286. 11 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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