Farhad Pashakhanloo

1.0k total citations
22 papers, 765 citations indexed

About

Farhad Pashakhanloo is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Farhad Pashakhanloo has authored 22 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 10 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Farhad Pashakhanloo's work include Cardiac electrophysiology and arrhythmias (14 papers), Cardiac Arrhythmias and Treatments (8 papers) and Advanced MRI Techniques and Applications (8 papers). Farhad Pashakhanloo is often cited by papers focused on Cardiac electrophysiology and arrhythmias (14 papers), Cardiac Arrhythmias and Treatments (8 papers) and Advanced MRI Techniques and Applications (8 papers). Farhad Pashakhanloo collaborates with scholars based in United States, United Kingdom and Germany. Farhad Pashakhanloo's co-authors include Natalia A. Trayanova, Elliot R. McVeigh, Daniel A. Herzka, Henry R. Halperin, Hiroshi Ashikaga, Neville Gai, Susumu Mori, David A. Bluemke, Patrick M. Boyle and Adityo Prakosa and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Magnetic Resonance in Medicine.

In The Last Decade

Farhad Pashakhanloo

22 papers receiving 758 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Farhad Pashakhanloo United States	16	630	211	73	55	55	22	765
Dongdong Deng China	10	567 0.9×	114 0.5×	68 0.9×	58 1.1×	43 0.8×	35	691
Jatin Relan France	12	685 1.1×	184 0.9×	71 1.0×	44 0.8×	17 0.3×	29	775
Bruce Hopenfeld United States	11	576 0.9×	149 0.7×	54 0.7×	80 1.5×	66 1.2×	23	648
Jason Constantino United States	16	597 0.9×	95 0.5×	133 1.8×	107 1.9×	103 1.9×	20	671
A.L. Muzikant United States	8	366 0.6×	268 1.3×	89 1.2×	114 2.1×	73 1.3×	9	566
P.R. Ershler United States	13	580 0.9×	116 0.5×	40 0.5×	129 2.3×	59 1.1×	26	656
Bonnie B. Punske United States	13	495 0.8×	87 0.4×	45 0.6×	119 2.2×	62 1.1×	39	576
Paul C. Zei United States	21	1.3k 2.0×	198 0.9×	55 0.8×	47 0.9×	27 0.5×	104	1.4k
Derek J. Dosdall United States	17	870 1.4×	191 0.9×	39 0.5×	126 2.3×	66 1.2×	86	1.1k
Sohail Zahid United States	16	1.1k 1.7×	130 0.6×	52 0.7×	78 1.4×	59 1.1×	33	1.2k

Countries citing papers authored by Farhad Pashakhanloo

Since Specialization

Citations

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

Fields of papers citing papers by Farhad Pashakhanloo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farhad Pashakhanloo

This figure shows the co-authorship network connecting the top 25 collaborators of Farhad Pashakhanloo. A scholar is included among the top collaborators of Farhad Pashakhanloo 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 Farhad Pashakhanloo. Farhad Pashakhanloo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yu, Joseph Kwong‐Leung, William H. Franceschi, Farhad Pashakhanloo, et al.. (2021). Assessment of arrhythmia mechanism and burden of the infarcted ventricles following remuscularization with pluripotent stem cell-derived cardiomyocyte patches using patient-derived models. Cardiovascular Research. 118(5). 1247–1261. 13 indexed citations

Pashakhanloo, Farhad & Alexander V. Panfilov. (2021). Minimal Functional Clusters Predict the Probability of Reentry in Cardiac Fibrotic Tissue. Physical Review Letters. 127(9). 98101–98101. 4 indexed citations

Mâncio, Jennifer, Farhad Pashakhanloo, Hossam El‐Rewaidy, et al.. (2021). Machine learning phenotyping of scarred myocardium from cine in hypertrophic cardiomyopathy. European Heart Journal - Cardiovascular Imaging. 23(4). 532–542. 22 indexed citations

Küçükseymen, Selçuk, Hagai Yavin, Michael Barkagan, et al.. (2020). Discordance in Scar Detection Between Electroanatomical Mapping and Cardiac MRI in an Infarct Swine Model. JACC. Clinical electrophysiology. 6(11). 1452–1464. 13 indexed citations

Roney, Caroline H., Farhad Pashakhanloo, Cesare Corrado, et al.. (2020). Constructing a Human Atrial Fibre Atlas. Annals of Biomedical Engineering. 49(1). 233–250. 53 indexed citations

Csécs, Ibolya, Farhad Pashakhanloo, Jihye Jang, et al.. (2020). Association Between Left Ventricular Mechanical Deformation and Myocardial Fibrosis in Nonischemic Cardiomyopathy. Journal of the American Heart Association. 9(19). e016797–e016797. 15 indexed citations

El‐Rewaidy, Hossam, Ahmed S. Fahmy, Farhad Pashakhanloo, et al.. (2020). Multi‐domain convolutional neural network (MD‐CNN) for radial reconstruction of dynamic cardiac MRI. Magnetic Resonance in Medicine. 85(3). 1195–1208. 41 indexed citations

Yu, Joseph Kwong‐Leung, et al.. (2019). A comprehensive, multiscale framework for evaluation of arrhythmias arising from cell therapy in the whole post-myocardial infarcted heart. Scientific Reports. 9(1). 9238–9238. 21 indexed citations

Jang, Jihye, John Whitaker, Eran Leshem‐Rubinow, et al.. (2019). Local Conduction Velocity in the Presence of Late Gadolinium Enhancement and Myocardial Wall Thinning. Circulation Arrhythmia and Electrophysiology. 12(5). e007175–e007175. 17 indexed citations

10.

Pashakhanloo, Farhad, Daniel A. Herzka, Henry R. Halperin, Elliot R. McVeigh, & Natalia A. Trayanova. (2018). Role of 3-Dimensional Architecture of Scar and Surviving Tissue in Ventricular Tachycardia. Circulation Arrhythmia and Electrophysiology. 11(6). e006131–e006131. 36 indexed citations

11.

Trayanova, Natalia A., Farhad Pashakhanloo, Kathérine C. Wu, & Henry R. Halperin. (2017). Imaging-Based Simulations for Predicting Sudden Death and Guiding Ventricular Tachycardia Ablation. Circulation Arrhythmia and Electrophysiology. 10(7). 36 indexed citations

12.

Deng, Dongdong, Michael J. Murphy, Joe B. Hakim, et al.. (2017). Sensitivity of reentrant driver localization to electrophysiological parameter variability in image-based computational models of persistent atrial fibrillation sustained by a fibrotic substrate. Chaos An Interdisciplinary Journal of Nonlinear Science. 27(9). 93932–93932. 59 indexed citations

13.

Pashakhanloo, Farhad, Daniel A. Herzka, Susumu Mori, et al.. (2016). Submillimeter diffusion tensor imaging and late gadolinium enhancement cardiovascular magnetic resonance of chronic myocardial infarction. Journal of Cardiovascular Magnetic Resonance. 19(1). 9–9. 43 indexed citations

14.

Zahid, Sohail, Erica L. Schwarz, Robert Blake, et al.. (2016). Feasibility of using patient-specific models and the “minimum cut” algorithm to predict optimal ablation targets for left atrial flutter. Heart Rhythm. 13(8). 1687–1698. 72 indexed citations

15.

Ling, Zhiyu, John E. McManigle, Vadim Zipunnikov, et al.. (2015). The association of left atrial low-voltage regions on electroanatomic mapping with low attenuation regions on cardiac computed tomography perfusion imaging in patients with atrial fibrillation. Heart Rhythm. 12(5). 857–864. 25 indexed citations

16.

Deng, Dongdong, Hermenegild Arevalo, Farhad Pashakhanloo, et al.. (2015). Accuracy of prediction of infarct-related arrhythmic circuits from image-based models reconstructed from low and high resolution MRI. Frontiers in Physiology. 6. 282–282. 47 indexed citations

17.

Ukwatta, Eranga, Hermenegild Arevalo, Martin Rajchl, et al.. (2015). Image‐based reconstruction of three‐dimensional myocardial infarct geometry for patient‐specific modeling of cardiac electrophysiology. Medical Physics. 42(8). 4579–4590. 39 indexed citations

18.

Ukwatta, Eranga, Martin Rajchl, James White, et al.. (2015). Image-based reconstruction of 3D myocardial infarct geometry for patient specific applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9413. 94132W–94132W. 5 indexed citations

19.

Prakosa, Adityo, Peter Malamas, Farhad Pashakhanloo, et al.. (2014). Methodology for image-based reconstruction of ventricular geometry for patient-specific modeling of cardiac electrophysiology. Progress in Biophysics and Molecular Biology. 115(2-3). 226–234. 42 indexed citations

20.

Dewire, Jane, Irfan M. Khurram, Farhad Pashakhanloo, et al.. (2014). The Association of Pre-Existing Left Atrial Fibrosis with Clinical Variables in Patients Referred for Catheter Ablation of Atrial Fibrillation. Clinical Medicine Insights Cardiology. 8s1(Suppl 1). CMC.S15036–CMC.S15036. 20 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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