Jonathon Leipsic

1.3k total citations · 1 hit paper
29 papers, 648 citations indexed

About

Jonathon Leipsic is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Jonathon Leipsic has authored 29 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Cardiology and Cardiovascular Medicine and 9 papers in Surgery. Recurrent topics in Jonathon Leipsic's work include Cardiac Imaging and Diagnostics (16 papers), Cardiac Valve Diseases and Treatments (8 papers) and Coronary Interventions and Diagnostics (7 papers). Jonathon Leipsic is often cited by papers focused on Cardiac Imaging and Diagnostics (16 papers), Cardiac Valve Diseases and Treatments (8 papers) and Coronary Interventions and Diagnostics (7 papers). Jonathon Leipsic collaborates with scholars based in Canada, United States and Denmark. Jonathon Leipsic's co-authors include Ron Blankstein, Michael J. Blaha, Khurram Nasir, Leslee J. Shaw, Jagat Narula, Matthew J. Budoff, Daniel S. Berman, John A. Rumberger, Harvey S. Hecht and Rhonda Roberts and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Jonathon Leipsic

20 papers receiving 630 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.

Low-Density Lipoprotein Cholesterol Is Predominantly Associated With Atherosclerotic Cardiovascular Disease Events in Patients With Evidence of Coronary Atherosclerosis: The Western Denmark Heart Registry

2023 75 citations Martin Bødtker Mortensen, Omar Dzaye et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathon Leipsic Canada	11	413	287	265	141	65	29	648
Joseph Knapper United States	10	347 0.8×	286 1.0×	176 0.7×	93 0.7×	40 0.6×	15	556
Iryna Dykun Germany	12	208 0.5×	615 2.1×	345 1.3×	34 0.2×	94 1.4×	59	738
Sarah Mullin United States	5	409 1.0×	425 1.5×	238 0.9×	59 0.4×	23 0.4×	15	648
Frédéric Bouisset France	14	165 0.4×	405 1.4×	286 1.1×	49 0.3×	103 1.6×	74	605
GB John Mancini Canada	5	574 1.4×	280 1.0×	337 1.3×	220 1.6×	60 0.9×	10	789
Paulo Rogério Soares Brazil	13	257 0.6×	425 1.5×	465 1.8×	61 0.4×	26 0.4×	50	698
Atif N. Khan United States	12	308 0.7×	176 0.6×	162 0.6×	105 0.7×	48 0.7×	21	476
Cibele Larrosa Garzillo Brazil	14	147 0.4×	340 1.2×	290 1.1×	53 0.4×	28 0.4×	36	522
Alice Sacco Italy	13	110 0.3×	328 1.1×	249 0.9×	109 0.8×	41 0.6×	50	515
Cosme García‐García Spain	17	100 0.2×	455 1.6×	193 0.7×	159 1.1×	82 1.3×	69	742

Countries citing papers authored by Jonathon Leipsic

Since Specialization

Citations

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

Fields of papers citing papers by Jonathon Leipsic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathon Leipsic

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

Brown, Kayla, Ke Xu, Rebecca T. Hahn, et al.. (2025). Impact of Coronary Artery Disease on Cardiovascular Outcomes Differs Between Men and Women With Severe Aortic Stenosis. Circulation Cardiovascular Interventions. 18(8). e014999–e014999.

De‐Juan‐Pardo, Elena M., et al.. (2025). CT-derived computational modelling in the lifetime management of aortic stenosis. Journal of cardiovascular computed tomography. 20(1). 3–12.

Leipsic, Jonathon & Y. Chandrashekhar. (2025). Coronary CT Angiographic Guidance of Medical Management. JACC. Cardiovascular imaging. 18(10). 1181–1183.

Husain, Ali, et al.. (2025). The heterogeneity of response to direct oral anticoagulants in patients with hypoattenuating leaflet thickening. EuroIntervention. 21(14). e827–e828.

Mahmoudi, Michael, Zoe Nicholas, Richard J. Jabbour, et al.. (2025). Anatomical, physiological and inflammatory characterization of nonculprit vessels in patients undergoing primary PCI for ST-elevation myocardial infarction in the presence of multivessel disease: Rationale and design of the PICNIC study. American Heart Journal. 292. 107298–107298.

Blaha, Michael J., Ron Blankstein, Khurram Nasir, et al.. (2025). Racial and Ethnic Differences in Long-Term Cardiovascular Mortality Among Women and Men From the CAC Consortium. JACC. Cardiovascular imaging. 18(6). 664–675. 4 indexed citations

Andrade, Jason G., Marc W. Deyell, Cameron Hague, et al.. (2024). The Role of Machine Learning in the Detection of Cardiac Fibrosis in Electrocardiograms: Scoping Review. JMIR Cardio. 8. e60697–e60697.

Williams, Michelle C., Jonathan Weir‐McCall, Lauren A. Baldassarre, et al.. (2024). Artificial Intelligence and Machine Learning for Cardiovascular Computed Tomography (CCT): A White Paper of the Society of Cardiovascular Computed Tomography (SCCT). Journal of cardiovascular computed tomography. 18(6). 519–532. 11 indexed citations

Tzimas, G., Gaurav S. Gulsin, Nicholas Beng Hui Ng, et al.. (2024). †Age- and Sex-Specific Nomographic CT Quantitative Plaque Data From a Large International Cohort. Journal of clinical lipidology. 18(4). e578–e579. 6 indexed citations

10.

Jensen, Rebekka Vibjerg, Jesper Møller Jensen, Erik Lerkevang Grove, et al.. (2024). Coronary CT angiography instead of invasive angiography before TAVI: Feasibility and outcomes. International Journal of Cardiology. 419. 132694–132694.

11.

Mortensen, Martin Bødtker, Omar Dzaye, Hans Erik Bøtker, et al.. (2023). Low-Density Lipoprotein Cholesterol Is Predominantly Associated With Atherosclerotic Cardiovascular Disease Events in Patients With Evidence of Coronary Atherosclerosis: The Western Denmark Heart Registry. Circulation. 147(14). 1053–1063. 75 indexed citations breakdown →

12.

Kumar, Andreas, Kim A. Connelly, Kevin R. Bainey, et al.. (2023). The Canadian Cardiovascular Society Classification of Acute Atherothrombotic Myocardial Infarction Based on Stages of Tissue Injury Severity: An Expert Consensus Statement. Canadian Journal of Cardiology. 40(1). 1–14. 20 indexed citations

13.

Bienstock, Solomon, Fay Y. Lin, Ron Blankstein, et al.. (2023). Advances in Coronary Computed Tomographic Angiographic Imaging of Atherosclerosis for Risk Stratification and Preventive Care. JACC. Cardiovascular imaging. 16(8). 1099–1115. 23 indexed citations

14.

Hinton, Jonathan, Alec Saunders, James Shambrook, et al.. (2023). Derivation and validation of a novel functional FFRCT score incorporating the burden of coronary stenosis severity and flow impairment to predict clinical events. Journal of cardiovascular computed tomography. 18(1). 33–42. 2 indexed citations

15.

Meier, David, Mariama Akodad, Uri Landes, et al.. (2022). Coronary Access Following Redo TAVR. JACC: Cardiovascular Interventions. 15(15). 1519–1531. 30 indexed citations

16.

Akodad, Mariama, Andrew Chatfield, David Wood, et al.. (2021). Stent Frame Fracture and Late Atrial Migration of a Mitral SAPIEN 3 Transcatheter Valve. JACC: Cardiovascular Interventions. 14(14). 1610–1612.

17.

Allen, Sorcha, Amy Wozniak, Siri Kunchakarra, et al.. (2021). Relationship of Stress Test Findings to Anatomic or Functional Extent of Coronary Artery Disease Assessed by Coronary Computed Tomography Angiography‐Derived Fractional Flow Reserve. BioMed Research International. 2021(1). 6674144–6674144. 2 indexed citations

18.

Lu, Michael T., Maros Ferencik, Rhonda Roberts, et al.. (2017). Noninvasive FFR Derived From Coronary CT Angiography. JACC. Cardiovascular imaging. 10(11). 1350–1358. 160 indexed citations

19.

Sy, Eric, Young Kim, Monica Norena, et al.. (2015). Implementation of a quality improvement initiative to reduce daily chest radiographs in the intensive care unit. BMJ Quality & Safety. 25(5). 379–385. 12 indexed citations

20.

Lesser, Iris, Taylor J. M. Dick, Danijela Gašević, et al.. (2014). The association between physical activity and liver fat after five years of follow-up in a primary prevention multi-ethnic cohort. Preventive Medicine. 67. 199–203. 3 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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