Rod Passman
About
Rod Passman is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery.
According to data from OpenAlex, Rod Passman has authored 206 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 189 papers in Cardiology and Cardiovascular Medicine, 25 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Surgery. Recurrent topics in Rod Passman's work include Atrial Fibrillation Management and Outcomes (127 papers), Cardiac Arrhythmias and Treatments (107 papers) and Cardiac electrophysiology and arrhythmias (65 papers). Rod Passman is often cited by papers focused on Atrial Fibrillation Management and Outcomes (127 papers), Cardiac Arrhythmias and Treatments (107 papers) and Cardiac electrophysiology and arrhythmias (65 papers). Rod Passman collaborates with scholars based in United States, Germany and Canada. Rod Passman's co-authors include Jeffrey J. Goldberger, Alan H. Kadish, Richard A. Bernstein, Bradley P. Knight, Johannes Brachmann, Tommaso Sanna, Vincenzo Di Lazzaro, Carlos A. Morillo, Michael Cain and Douglas P. Zipes and has published in prestigious journals such as New England Journal of Medicine, JAMA and Circulation.
In The Last Decade
Rod Passman
188 papers receiving 9.4k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Rod Passman United States | 42 | 6.9k | 1.4k | 1.3k | 1.3k | 1.2k | 206 | 9.8k | ||
| Samer S. Najjar United States | 46 | 7.7k 1.1× | 2.1k 1.6× | 2.4k 1.8× | 964 0.8× | 920 0.8× | 154 | 12.1k | ||
| Peter S. Rahko United States | 29 | 7.0k 1.0× | 1.4k 1.0× | 1.6k 1.2× | 655 0.5× | 931 0.8× | 102 | 9.3k | ||
| Sumeet S. Chugh United States | 51 | 10.3k 1.5× | 748 0.6× | 1.2k 0.9× | 2.0k 1.6× | 1.3k 1.1× | 218 | 13.8k | ||
| Piergiuseppe Agostoni Italy | 52 | 6.2k 0.9× | 2.9k 2.2× | 1.4k 1.0× | 540 0.4× | 487 0.4× | 458 | 9.8k | ||
| John Parissis Greece | 53 | 7.8k 1.1× | 1.5k 1.1× | 1.8k 1.4× | 1.2k 0.9× | 1.6k 1.3× | 348 | 11.6k | ||
| Julio A. Chirinos United States | 59 | 9.1k 1.3× | 2.1k 1.6× | 1.9k 1.4× | 325 0.3× | 1.8k 1.5× | 255 | 14.0k | ||
| Elsayed Z. Soliman United States | 67 | 14.9k 2.2× | 1.4k 1.0× | 1.4k 1.0× | 463 0.4× | 2.1k 1.8× | 628 | 18.9k | ||
| Thierry H. LeJemtel United States | 54 | 9.9k 1.4× | 1.8k 1.3× | 2.5k 1.9× | 1.4k 1.1× | 696 0.6× | 178 | 12.4k | ||
| Hans‐Peter Brunner‐La Rocca Netherlands | 57 | 8.0k 1.2× | 2.2k 1.7× | 3.2k 2.4× | 240 0.2× | 803 0.7× | 327 | 11.7k | ||
| Cristina Giannattasio Italy | 42 | 9.0k 1.3× | 1.9k 1.4× | 1.7k 1.3× | 202 0.2× | 819 0.7× | 248 | 11.6k |
Countries citing papers authored by Rod Passman
Since
Specialization
Citations
This map shows the geographic impact of Rod Passman'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 Rod Passman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rod Passman more than expected).
Fields of papers citing papers by Rod Passman
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Rod Passman. 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 Rod Passman. The network helps show where Rod Passman may publish in the future.
Co-authorship network of co-authors of Rod Passman
This figure shows the co-authorship network connecting the top 25 collaborators of Rod Passman. A scholar is included among the top collaborators of Rod Passman 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 Rod Passman. Rod Passman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Wang, Wendy, Anne Eaton, Riccardo M. Inciardi, et al.. (2025). Markers of Left Atrial Myopathy: Prognostic Usefulness for Ischemic Stroke and Dementia in People in Sinus Rhythm. Stroke. 56(4). 858–867.
2.
Peigh, Graham, et al.. (2024). Impact of Atrial Fibrillation Burden on Health Care Costs and Utilization. JACC. Clinical electrophysiology. 10(4). 718–730.
3.
Peigh, Graham, et al.. (2024). Association of Atrial Fibrillation Burden and Mortality Among Patients With Cardiac Implantable Electronic Devices. Circulation. 150(5). 350–361.
4.
Piccini, Jonathan P., Elaine M. Hylek, Rahul Kanwar, et al.. (2024). Performance of Atrial Fibrillation Burden Trends for Stroke Risk Stratification. Circulation Arrhythmia and Electrophysiology. 17(11). e012394–e012394.
5.
Peacock, James M., Lawrence C. Johnson, Elaine M. Hylek, et al.. (2024). Using Atrial Fibrillation Burden Trends and Machine Learning to Predict Near-Term Risk of Cardiovascular Hospitalization. Circulation Arrhythmia and Electrophysiology. 17(11). e012991–e012991.
6.
Muhammad, Lutfiyya N., et al.. (2024). Sex disparity in referral for catheter ablation for atrial fibrillation. Journal of Interventional Cardiac Electrophysiology. 67(9). 2029–2037.
7.
Allen, Bradley D., James Carr, Rod Passman, et al.. (2024). Ultra-rapid, Free-breathing, Real-time Cardiac Cine MRI Using GRASP Amplified with View Sharing and KWIC Filtering. Radiology Cardiothoracic Imaging. 6(1). e230107–e230107.
8.
Pradella, Maurice, Sophia Liu, Rod Passman, et al.. (2024). Associations between 3D-based Left Atrial Volumetric and Blood Flow Parameters in a Single-Site Cohort of the Multi-Ethnic Study of Atherosclerosis. Radiology Cardiothoracic Imaging. 6(2). e230148–e230148.
9.
Kholmovski, Eugene, et al.. (2024). Novel Self-Calibrated Threshold-Free Probabilistic Fibrosis Signature Technique for 3D Late Gadolinium Enhancement MRI. IEEE Transactions on Biomedical Engineering. 72(3). 856–869.
10.
Lakkireddy, Dhanunjaya, Andrea Russo, Elaine M. Hylek, et al.. (2024). Use of continuous cardiac monitoring to assess the influence of atrial fibrillation burden and patterns on patient symptoms and healthcare utilization: The DEFINE AFib study. Heart Rhythm O2. 5(12). 951–956.
11.
Pradella, Maurice, et al.. (2023). Robust and fast stochastic 4D flow vector-field signature technique for quantifying composite flow dynamics from 4D flow MRI: Application to left atrial flow in atrial fibrillation. Medical Image Analysis. 92. 103065–103065.
12.
Liu, Sophia, Rod Passman, Daniel Kim, et al.. (2023). Comparison of Biplane Area-Length Method and 3D Volume Quantification by Using Cardiac MRI for Assessment of Left Atrial Volume in Atrial Fibrillation. Radiology Cardiothoracic Imaging. 5(2). e220133–e220133.
13.
Jones, Aubrey E., Kenzie A. Cameron, Kerri L. Cavanaugh, et al.. (2023). Development of Complementary Encounter and Patient Decision Aids for Shared Decision Making about Stroke Prevention in Atrial Fibrillation. MDM Policy & Practice. 8(1). 107924785–107924785.
14.
Tedla, Yacob G., et al.. (2020). Racial Disparity in the Prescription of Anticoagulants and Risk of Stroke and Bleeding in Atrial Fibrillation Patients. Journal of Stroke and Cerebrovascular Diseases. 29(5). 104718–104718.
15.
Tarakji, Khaldoun G., Jennifer N. Avari Silva, Lin Y. Chen, et al.. (2020). Digital Health and the Care of the Patient With Arrhythmia. Circulation Arrhythmia and Electrophysiology. 13(11). e007953–e007953.
16.
Feeny, Albert, Mina K. Chung, Anant Madabhushi, et al.. (2020). Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology. Circulation Arrhythmia and Electrophysiology. 13(8). e007952–e007952.
17.
Kaplan, Rachel M., Jodi Koehler, Paul Ziegler, et al.. (2019). Stroke Risk as a Function of Atrial Fibrillation Duration and CHA 2 DS 2 -VASc Score. Circulation. 140(20). 1639–1646.
18.
Smith, Heather, Heidi Oi‐Yee Li, Donna E. Maziak, et al.. (2019). External validity of a model to predict postoperative atrial fibrillation after thoracic surgery. European Journal of Cardio-Thoracic Surgery. 57(5). 874–880.
19.
Steinberg, Benjamin A., Anne S. Hellkamp, Yuliya Lokhnygina, et al.. (2014). Use and outcomes of antiarrhythmic therapy in patients with atrial fibrillation receiving oral anticoagulation: Results from the ROCKET AF trial. Heart Rhythm. 11(6). 925–932.
20.
Ng, Jason, Rod Passman, Rishi Arora, Alan H. Kadish, & Jeffrey J. Goldberger. (2012). Paradoxical Change in Atrial Fibrillation Dominant Frequencies with Baroreflex‐Mediated Parasympathetic Stimulation with Phenylephrine Infusion. Journal of Cardiovascular Electrophysiology. 23(10). 1045–1050.
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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