Saman Nazarian

21.6k total citations · 1 hit paper
316 papers, 11.1k citations indexed

About

Saman Nazarian is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Saman Nazarian has authored 316 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 295 papers in Cardiology and Cardiovascular Medicine, 82 papers in Radiology, Nuclear Medicine and Imaging and 26 papers in Surgery. Recurrent topics in Saman Nazarian's work include Cardiac Arrhythmias and Treatments (196 papers), Atrial Fibrillation Management and Outcomes (165 papers) and Cardiac electrophysiology and arrhythmias (123 papers). Saman Nazarian is often cited by papers focused on Cardiac Arrhythmias and Treatments (196 papers), Atrial Fibrillation Management and Outcomes (165 papers) and Cardiac electrophysiology and arrhythmias (123 papers). Saman Nazarian collaborates with scholars based in United States, Netherlands and Austria. Saman Nazarian's co-authors include Hugh Calkins, Ronald D. Berger, Henry R. Halperin, Joseph E. Marine, David Spragg, David A. Bluemke, Hiroshi Ashikaga, Alan Cheng, Charles A. Henrikson and Stefan L. Zimmerman and has published in prestigious journals such as New England Journal of Medicine, JAMA and Circulation.

In The Last Decade

Saman Nazarian

294 papers receiving 10.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recognizing COVID-19–related myocarditis: The possible pathophysiology and proposed guideline for diagnosis and management

2020 531 citations Saman Nazarian, Daniele Muser et al. Heart Rhythm profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saman Nazarian United States	58	9.0k	2.7k	920	504	503	316	11.1k
Raphael Twerenbold Switzerland	39	4.5k 0.5×	2.2k 0.8×	1.4k 1.6×	291 0.6×	269 0.5×	242	6.6k
Vanessa M. Ferreira United Kingdom	45	6.1k 0.7×	4.8k 1.8×	1.4k 1.5×	224 0.4×	358 0.7×	157	8.7k
Mina K. Chung United States	56	8.9k 1.0×	888 0.3×	1.5k 1.6×	757 1.5×	380 0.8×	247	11.6k
Stefan Osswald Switzerland	45	6.2k 0.7×	1.6k 0.6×	2.3k 2.5×	281 0.6×	236 0.5×	305	7.6k
Sharon L. Mulvagh United States	40	4.0k 0.4×	2.0k 0.7×	1.3k 1.5×	325 0.6×	980 1.9×	175	6.7k
Luigi Di Biase United States	58	12.2k 1.4×	1.3k 0.5×	1.1k 1.2×	326 0.6×	480 1.0×	592	13.2k
Sanjay Prasad United Kingdom	42	8.9k 1.0×	3.9k 1.4×	1.8k 2.0×	225 0.4×	294 0.6×	222	11.0k
Valentina O. Püntmann Germany	33	3.4k 0.4×	2.1k 0.8×	658 0.7×	1.0k 2.0×	217 0.4×	104	5.5k
Ariel Roguin Israel	41	4.3k 0.5×	2.4k 0.9×	2.0k 2.2×	220 0.4×	713 1.4×	267	7.5k
Kathérine C. Wu United States	33	6.3k 0.7×	4.3k 1.6×	1.5k 1.6×	353 0.7×	605 1.2×	140	8.2k

Countries citing papers authored by Saman Nazarian

Since Specialization

Citations

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

Fields of papers citing papers by Saman Nazarian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saman Nazarian

This figure shows the co-authorship network connecting the top 25 collaborators of Saman Nazarian. A scholar is included among the top collaborators of Saman Nazarian 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 Saman Nazarian. Saman Nazarian 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

Zghaib, Tarek, et al.. (2025). Contemporary Study of New Onset Atrial Fibrillation Treatment Strategies at a Large Academic Tertiary Care Center. Journal of Cardiovascular Electrophysiology. 36(4). 824–829.

Litt, M., Tarek Zghaib, Timothy M. Markman, et al.. (2025). Left Bundle Branch Area Pacing in Patients With Cardiac Sarcoidosis. JACC. Clinical electrophysiology. 12(3). 517–524.

Nazarian, Saman, et al.. (2024). A Novel 3D Camera-Based ECG-Imaging System for Electrode Position Discovery and Heart-Torso Registration. IEEE Journal of Biomedical and Health Informatics. 29(5). 3502–3515. 1 indexed citations

Callans, David J., Francis E. Marchlinski, Robert D. Schaller, et al.. (2024). Techniques and outcomes of atrial fibrillation ablation in patients with persistent left superior vena cava. Journal of Cardiovascular Electrophysiology. 36(1). 179–187.

Bozorgi, Ali, et al.. (2024). Risk scores for prediction of paroxysmal atrial fibrillation after acute ischemic stroke or transient ischemic attack: A systematic review and meta-analysis. International Journal of Cardiology Cardiovascular Risk and Prevention. 21. 200249–200249. 3 indexed citations

Dhakal, Bishnu P., Neel Patel, Lohit Garg, et al.. (2023). Utility of Very High-Output Pacing to Identify VT Circuits in Patients Manifesting Traditionally Inexcitable Scar. JACC. Clinical electrophysiology. 9(12). 2523–2533. 2 indexed citations

Zghaib, Tarek, Thiago Quinaglia, Bharath Ambale‐Venkatesh, et al.. (2023). Association between Left Atrial Late Gadolinium Enhancement and Atrial Fibrillation: The Multi-Ethnic Study of Atherosclerosis (MESA). Radiology Cardiothoracic Imaging. 5(4). e220047–e220047. 1 indexed citations

Sung, Eric, Usama A. Daimee, M. Engels, et al.. (2023). Evaluation of a deep learning‐enabled automated computational heart modelling workflow for personalized assessment of ventricular arrhythmias. The Journal of Physiology. 602(18). 4625–4644. 2 indexed citations

Sung, Eric, Adityo Prakosa, Shijie Zhou, et al.. (2022). Fat infiltration in the infarcted heart as a paradigm for ventricular arrhythmias. Nature Cardiovascular Research. 1(10). 933–945. 37 indexed citations

10.

Zahid, Sohail, Juwann Moss, Ronald D. Berger, et al.. (2022). Lipomatous metaplasia prolongs repolarization and increases repolarization dispersion within post-infarct ventricular tachycardia circuit cites. EP Europace. 25(2). 496–505. 11 indexed citations

11.

Boyle, Patrick M., Joe B. Hakim, Sohail Zahid, et al.. (2018). The Fibrotic Substrate in Persistent Atrial Fibrillation Patients: Comparison Between Predictions From Computational Modeling and Measurements From Focal Impulse and Rotor Mapping. Frontiers in Physiology. 9. 1151–1151. 35 indexed citations

12.

Calkins, Hugh, Richard E Gliklich, Michelle B Leavy, et al.. (2018). Harmonized outcome measures for use in atrial fibrillation patient registries and clinical practice. Heart Rhythm. 16(1). e3–e16. 8 indexed citations

13.

Hayashi, Tatsuya, Jackson J. Liang, Daniele Muser, et al.. (2018). Epicardial ventricular tachycardia in ischemic cardiomyopathy: Prevalence, electrophysiological characteristics, and long‐term ablation outcomes. Journal of Cardiovascular Electrophysiology. 29(11). 1530–1539. 8 indexed citations

14.

Enríquez, Andrés, Rajeev K. Pathak, Pasquale Santangeli, et al.. (2017). Inferior lead discordance in ventricular arrhythmias: A specific marker for certain arrhythmia locations. Journal of Cardiovascular Electrophysiology. 28(10). 1179–1186. 26 indexed citations

15.

Chrispin, Jonathan, Aditya Jain, Elsayed Z. Soliman, et al.. (2014). Association of Electrocardiographic and Imaging Surrogates of Left Ventricular Hypertrophy With Incident Atrial Fibrillation. Journal of the American College of Cardiology. 63(19). 2007–2013. 56 indexed citations

16.

Ilkhanoff, Leonard, Kiang Liu, Hongyan Ning, et al.. (2012). Association of QRS Duration with Left Ventricular Structure and Function and Risk of Heart Failure in Middle-Aged and Older Adults: The Multi-Ethnic Study of Atherosclerosis (MESA). European Journal of Heart Failure. 14(11). 1285–1292. 42 indexed citations

17.

Sasaki, Takeshi, Rozann Hansford, Menekhem M. Zviman, et al.. (2011). Quantitative Assessment of Artifacts on Cardiac Magnetic Resonance Imaging of Patients With Pacemakers and Implantable Cardioverter-Defibrillators. Circulation Cardiovascular Imaging. 4(6). 662–670. 95 indexed citations

18.

Nazarian, Saman, Aravindan Kolandaivelu, Menekhem M. Zviman, et al.. (2008). Feasibility of Real-Time Magnetic Resonance Imaging for Catheter Guidance in Electrophysiology Studies. Circulation. 118(3). 223–229. 127 indexed citations

19.

Nazarian, Saman, Ariel Roguin, Menekhem M. Zviman, et al.. (2006). Clinical Utility and Safety of a Protocol for Noncardiac and Cardiac Magnetic Resonance Imaging of Patients With Permanent Pacemakers and Implantable-Cardioverter Defibrillators at 1.5 Tesla. Circulation. 114(12). 1277–1284. 234 indexed citations

20.

Nazarian, Saman, David A. Bluemke, Albert C. Lardo, et al.. (2005). Magnetic Resonance Assessment of the Substrate for Inducible Ventricular Tachycardia in Nonischemic Cardiomyopathy. Circulation. 112(18). 2821–2825. 311 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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