Jonathan A. Pan

550 total citations
17 papers, 384 citations indexed

About

Jonathan A. Pan is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Jonathan A. Pan has authored 17 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 10 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Jonathan A. Pan's work include Cardiac Imaging and Diagnostics (10 papers), Cardiovascular Function and Risk Factors (7 papers) and Advanced MRI Techniques and Applications (4 papers). Jonathan A. Pan is often cited by papers focused on Cardiac Imaging and Diagnostics (10 papers), Cardiovascular Function and Risk Factors (7 papers) and Advanced MRI Techniques and Applications (4 papers). Jonathan A. Pan collaborates with scholars based in United States, Sweden and Netherlands. Jonathan A. Pan's co-authors include Michael Salerno, Yoo Jin Lee, Christopher M. Kramer, P.W. Shaw, Pelbreton C. Balfour, Yang Yang, Frederick H. Epstein, Sujith Kuruvilla, Jorge A. González and Craig H. Meyer and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Cardiology and Journal of Hypertension.

In The Last Decade

Jonathan A. Pan

16 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan A. Pan United States 9 246 190 81 78 51 17 384
Sergio Barros‐Gomes United States 12 219 0.9× 101 0.5× 62 0.8× 56 0.7× 46 0.9× 16 308
Alisson Slimani Belgium 10 450 1.8× 227 1.2× 37 0.5× 79 1.0× 32 0.6× 15 526
Dai-Yin Lu Taiwan 11 293 1.2× 52 0.3× 22 0.3× 63 0.8× 18 0.4× 24 373
Richard Gervasoni France 11 306 1.2× 150 0.8× 103 1.3× 106 1.4× 15 0.3× 32 459
Francesco Angeli Italy 9 297 1.2× 124 0.7× 30 0.4× 81 1.0× 6 0.1× 27 402
Sirin Apiyasawat United States 14 458 1.9× 59 0.3× 36 0.4× 50 0.6× 11 0.2× 46 573
Ana Botelho Portugal 12 300 1.2× 93 0.5× 20 0.2× 34 0.4× 14 0.3× 46 362
Devin W. Kehl United States 7 155 0.6× 38 0.2× 46 0.6× 139 1.8× 16 0.3× 13 328
Benedikt Bernhard Switzerland 11 201 0.8× 75 0.4× 70 0.9× 63 0.8× 38 0.7× 36 302
Fatih Bayrak Türkiye 15 520 2.1× 62 0.3× 89 1.1× 111 1.4× 9 0.2× 47 652

Countries citing papers authored by Jonathan A. Pan

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan A. Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan A. Pan. 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 Jonathan A. Pan. The network helps show where Jonathan A. Pan may publish in the future.

Co-authorship network of co-authors of Jonathan A. Pan

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

All Works

17 of 17 papers shown
1.
Pan, Jonathan A., et al.. (2025). Cardiac Magnetic Resonance Guidance for the Pathogenetic Definition of Cardiomyopathies. Current Cardiology Reports. 27(1). 85–85. 1 indexed citations
2.
Pan, Jonathan A., Shuo Wang, Jeremy Slivnick, et al.. (2025). Deep learning to predict myocardial scar burden and uncertainty quantification. Journal of Cardiovascular Magnetic Resonance. 27. 101530–101530. 1 indexed citations
3.
Pan, Jonathan A., A Löffler, Yang Yang, et al.. (2024). Cardiometabolic biomarker patterns associated with cardiac MRI defined fibrosis and microvascular dysfunction in patients with heart failure with preserved ejection fraction. Frontiers in Cardiovascular Medicine. 11. 1334226–1334226. 3 indexed citations
4.
Pan, Jonathan A. & Christopher M. Kramer. (2024). Cardiac Magnetic Resonance Imaging in Heart Failure. SHILAP Revista de lepidopterología. 9(1).
5.
Pan, Jonathan A. & Amit R. Patel. (2024). The Role of Multimodality Imaging in Cardiomyopathy. Current Cardiology Reports. 26(7). 689–703. 4 indexed citations
6.
Pan, Jonathan A., Michael Salerno, Alexandra Kadl, et al.. (2021). Venoarterial Extracorporeal Membrane Oxygenation for Acute Massive Pulmonary Embolism: a Meta-Analysis and Call to Action. Journal of Cardiovascular Translational Research. 15(2). 258–267. 21 indexed citations
7.
Pan, Jonathan A., Austin Robinson, Yang Yang, et al.. (2021). Diagnostic Accuracy of Spiral Whole‐Heart Quantitative Adenosine Stress Cardiovascular Magnetic Resonance With Motion Compensated L1‐SPIRIT. Journal of Magnetic Resonance Imaging. 54(4). 1268–1279. 3 indexed citations
8.
Pan, Jonathan A., et al.. (2020). Native T1 Mapping, Extracellular Volume Mapping, and Late Gadolinium Enhancement in Cardiac Amyloidosis. JACC. Cardiovascular imaging. 13(6). 1299–1310. 100 indexed citations
9.
Pan, Jonathan A., et al.. (2020). Implementation of a Novel Order Set to Improve Baseline Pulmonary, Hepatic, and Thyroid Function Testing at Time of Inpatient Amiodarone Initiation. The American Journal of Cardiology. 136. 173–175. 1 indexed citations
10.
Pan, Jonathan A., et al.. (2020). New‐onset atrial fibrillation and outcomes following isolated coronary artery bypass surgery: A systematic review and meta‐analysis. Clinical Cardiology. 43(9). 928–934. 16 indexed citations
11.
Löffler, A, Jonathan A. Pan, Pelbreton C. Balfour, et al.. (2019). Frequency of Coronary Microvascular Dysfunction and Diffuse Myocardial Fibrosis (Measured by Cardiovascular Magnetic Resonance) in Patients With Heart Failure and Preserved Left Ventricular Ejection Fraction. The American Journal of Cardiology. 124(10). 1584–1589. 37 indexed citations
12.
Shaw, P.W., Jamieson M. Bourque, Sujith Kuruvilla, et al.. (2018). Quantitative cardiovascular magnetic resonance perfusion imaging identifies reduced flow reserve in microvascular coronary artery disease. Journal of Cardiovascular Magnetic Resonance. 20(1). 14–14. 69 indexed citations
13.
Pan, Jonathan A., Erik Michaëlsson, P.W. Shaw, et al.. (2018). Extracellular volume by cardiac magnetic resonance is associated with biomarkers of inflammation in hypertensive heart disease. Journal of Hypertension. 37(1). 65–72. 13 indexed citations
14.
Pan, Jonathan A., Yoo Jin Lee, & Michael Salerno. (2018). Diagnostic Performance of Extracellular Volume, Native T1, and T2 Mapping Versus Lake Louise Criteria by Cardiac Magnetic Resonance for Detection of Acute Myocarditis. Circulation Cardiovascular Imaging. 11(7). e007598–e007598. 92 indexed citations
15.
Pan, Jonathan A., Peter Pollak, Samantha Clarke, et al.. (2017). Multiparametric CMR imaging of infarct remodeling in a percutaneous reperfused Yucatan mini‐pig model. NMR in Biomedicine. 30(5). 11 indexed citations
16.
Pan, Jonathan A. & Michael Salerno. (2016). Clinical Utility and Future Applications of PET/CT and PET/CMR in Cardiology. Diagnostics. 6(3). 32–32. 11 indexed citations
17.
Pan, Jonathan A., et al.. (2013). Myocardial remodeling in reperfused myocardial infarction with multiparametric CMR: does diffuse fibrosis occur in remote noninfarcted myocardium?. Journal of Cardiovascular Magnetic Resonance. 15. P137–P137. 1 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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