Jonathan D Suever

2.0k total citations · 1 hit paper
42 papers, 1.4k citations indexed

About

Jonathan D Suever is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Jonathan D Suever has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 22 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in Jonathan D Suever's work include Cardiovascular Function and Risk Factors (20 papers), Advanced MRI Techniques and Applications (17 papers) and Cardiac Imaging and Diagnostics (14 papers). Jonathan D Suever is often cited by papers focused on Cardiovascular Function and Risk Factors (20 papers), Advanced MRI Techniques and Applications (17 papers) and Cardiac Imaging and Diagnostics (14 papers). Jonathan D Suever collaborates with scholars based in United States, United Kingdom and Netherlands. Jonathan D Suever's co-authors include Brandon K. Fornwalt, Christopher M. Haggerty, Linyuan Jing, Gregory J Wehner, Aalpen A. Patel, Gregory J. Moore, Gino Mongelluzzo, Mohammad R. Arbabshirani, John N. Oshinski and Angel R. León and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Jonathan D Suever

42 papers receiving 1.4k citations

Hit Papers

Advanced machine learning... 2018 2026 2020 2023 2018 50 100 150 200 250
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.

  1. Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration
    2018 293 citations Mohammad R. Arbabshirani, Brandon K. Fornwalt et al. npj Digital Medicine profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jonathan D Suever 764 406 282 234 164 42 1.4k
Brandon K. Fornwalt 1.2k 1.5× 619 1.5× 236 0.8× 317 1.4× 177 1.1× 80 1.9k
Silvia Pradella 280 0.4× 427 1.1× 270 1.0× 220 0.9× 94 0.6× 80 1.3k
Maja Čikeš 1.3k 1.7× 514 1.3× 311 1.1× 128 0.5× 18 0.1× 90 1.9k
Scott Semple 1.1k 1.4× 1.0k 2.5× 424 1.5× 378 1.6× 56 0.3× 78 2.3k
Antonella Balestrieri 210 0.3× 233 0.6× 74 0.3× 176 0.8× 71 0.4× 49 798
Michele Porcu 344 0.5× 307 0.8× 104 0.4× 111 0.5× 71 0.4× 67 925
Tom Wong 2.6k 3.4× 342 0.8× 380 1.3× 364 1.6× 50 0.3× 142 3.0k
Manoj Mannil 156 0.2× 947 2.3× 186 0.7× 100 0.4× 64 0.4× 69 1.4k
Rebecca E. Thornhill 169 0.2× 1.3k 3.2× 187 0.7× 233 1.0× 167 1.0× 81 2.1k
Andrea Ponsiglione 167 0.2× 635 1.6× 148 0.5× 86 0.4× 28 0.2× 77 1.1k

Countries citing papers authored by Jonathan D Suever

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D Suever

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan D Suever

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan D Suever. A scholar is included among the top collaborators of Jonathan D Suever 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 D Suever. Jonathan D Suever 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.
Ulloa, Alvaro, Linyuan Jing, Christopher W. Good, et al.. (2021). Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality. Nature Biomedical Engineering. 5(6). 546–554. 45 indexed citations
2.
Wehner, Gregory J, Jonathan D Suever, Samuel W. Fielden, et al.. (2018). Typical readout durations in spiral cine DENSE yield blurred images and underestimate cardiac strains at both 3.0 T and 1.5 T. Magnetic Resonance Imaging. 54. 90–100. 2 indexed citations
3.
Arbabshirani, Mohammad R., Brandon K. Fornwalt, Gino Mongelluzzo, et al.. (2018). Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration. npj Digital Medicine. 1(1). 9–9. 293 indexed citations breakdown →
4.
Ferreira, Pedro, Sònia Nielles‐Vallespin, Andrew D. Scott, et al.. (2017). Evaluation of the impact of strain correction on the orientation of cardiac diffusion tensors with in vivo and ex vivo porcine hearts. Magnetic Resonance in Medicine. 79(4). 2205–2215. 21 indexed citations
5.
Haggerty, Christopher M., Jonathan D Suever, Gregory J Wehner, et al.. (2016). Association between left ventricular mechanics and diffuse myocardial fibrosis in patients with repaired Tetralogy of Fallot: a cross-sectional study. Journal of Cardiovascular Magnetic Resonance. 19(1). 100–100. 49 indexed citations
6.
Jing, Linyuan, Gregory J Wehner, Jonathan D Suever, et al.. (2016). Left and right ventricular dyssynchrony and strains from cardiovascular magnetic resonance feature tracking do not predict deterioration of ventricular function in patients with repaired tetralogy of Fallot. Journal of Cardiovascular Magnetic Resonance. 18(1). 49–49. 33 indexed citations
7.
Haggerty, Christopher M., Jonathan D Suever, Gregory J Wehner, et al.. (2016). Using a respiratory navigator significantly reduces variability when quantifying left ventricular torsion with cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance. 19(1). 25–25. 2 indexed citations
8.
Jing, Linyuan, Jonathan D Suever, Gregory J Wehner, et al.. (2016). Impaired right ventricular contractile function in childhood obesity and its association with right and left ventricular changes: a cine DENSE cardiac magnetic resonance study. Journal of Cardiovascular Magnetic Resonance. 19(1). 49–49. 13 indexed citations
9.
Jing, Linyuan, Jonathan D Suever, Christopher M. Haggerty, et al.. (2016). Cardiac remodeling and dysfunction in childhood obesity: a cardiovascular magnetic resonance study. Journal of Cardiovascular Magnetic Resonance. 18(1). 28–28. 57 indexed citations
10.
Haggerty, Christopher M., Jonathan D Suever, Gregory J Wehner, et al.. (2016). An interactive videogame designed to improve respiratory navigator efficiency in children undergoing cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance. 18(1). 54–54. 11 indexed citations
11.
Jing, Linyuan, Jonathan D Suever, H. Lester Kirchner, et al.. (2016). Ambulatory systolic blood pressure and obesity are independently associated with left ventricular hypertrophic remodeling in children. Journal of Cardiovascular Magnetic Resonance. 19(1). 86–86. 33 indexed citations
12.
Hartlage, Gregory, Jonathan D Suever, Stéphanie Clément-Guinaudeau, et al.. (2015). Prediction of response to cardiac resynchronization therapy using left ventricular pacing lead position and cardiovascular magnetic resonance derived wall motion patterns: a prospective cohort study. Journal of Cardiovascular Magnetic Resonance. 17(1). 57–57. 17 indexed citations
13.
Wehner, Gregory J, Jonathan D Suever, Christopher M. Haggerty, et al.. (2015). Validation of in vivo 2D displacements from spiral cine DENSE at 3T. Journal of Cardiovascular Magnetic Resonance. 17(1). 5–5. 22 indexed citations
14.
Haggerty, Christopher M., Linyuan Jing, Jonathan D Suever, et al.. (2015). Left ventricular mechanical dysfunction in diet-induced obese mice is exacerbated during inotropic stress: a cine DENSE cardiovascular magnetic resonance study. Journal of Cardiovascular Magnetic Resonance. 17(1). 75–75. 9 indexed citations
15.
Jing, Linyuan, Christopher M. Haggerty, Jonathan D Suever, et al.. (2014). Patients with repaired tetralogy of Fallot suffer from intra- and inter-ventricular cardiac dyssynchrony: a cardiac magnetic resonance study. European Heart Journal - Cardiovascular Imaging. 15(12). 1333–1343. 33 indexed citations
16.
Hartlage, Gregory, et al.. (2014). U-SHAPED CONTRACTION PATTERN DERIVED BY CARDIOVASCULAR MAGNETIC RESONANCE PREDICTS CARDIAC RESYNCHRONIZATION THERAPY RESPONSE IN PATIENTS WITH NON-CLASSIC ELECTROCARDIOGRAM PATTERNS. Journal of the American College of Cardiology. 63(12). A1256–A1256. 1 indexed citations
17.
Suever, Jonathan D, et al.. (2014). Relationship between mechanical dyssynchrony and intra-operative electrical delay times in patients undergoing cardiac resynchronization therapy. Journal of Cardiovascular Magnetic Resonance. 16(1). 4–4. 13 indexed citations
18.
Suever, Jonathan D, Gregory J Wehner, Christopher M. Haggerty, et al.. (2014). Simplified post processing of cine DENSE cardiovascular magnetic resonance for quantification of cardiac mechanics. Journal of Cardiovascular Magnetic Resonance. 16(1). 94–94. 14 indexed citations
19.
Suever, Jonathan D, et al.. (2011). Time‐resolved analysis of coronary vein motion and cross‐sectional area. Journal of Magnetic Resonance Imaging. 34(4). 811–815. 6 indexed citations
20.
Suever, Jonathan D, Yabing Chen, Jay M. McDonald, & Yuhua Song. (2008). Conformation and Free Energy Analyses of the Complex of Calcium-Bound Calmodulin and the Fas Death Domain. Biophysical Journal. 95(12). 5913–5921. 25 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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