Jason D. Roberts

5.6k total citations
86 papers, 1.9k citations indexed

About

Jason D. Roberts is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Jason D. Roberts has authored 86 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cardiology and Cardiovascular Medicine, 18 papers in Molecular Biology and 10 papers in Surgery. Recurrent topics in Jason D. Roberts's work include Cardiac electrophysiology and arrhythmias (45 papers), Cardiac Arrhythmias and Treatments (31 papers) and Atrial Fibrillation Management and Outcomes (21 papers). Jason D. Roberts is often cited by papers focused on Cardiac electrophysiology and arrhythmias (45 papers), Cardiac Arrhythmias and Treatments (31 papers) and Atrial Fibrillation Management and Outcomes (21 papers). Jason D. Roberts collaborates with scholars based in Canada, United States and United Kingdom. Jason D. Roberts's co-authors include Michael H. Gollob, Calum J. Redpath, Agneta Siegbahn, Andrzej Budaj, Lars Wallentin, Frans Van de Werf, Jonas Oldgren, Jan G.P. Tijssen, Yasser Khder and C. B. Granger and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Annals of Internal Medicine.

In The Last Decade

Jason D. Roberts

76 papers receiving 1.8k citations

Peers

Jason D. Roberts
Jochen Graff Germany
Daniel D. Gretler United States
Craig B. Clark United States
Laila Stærk Denmark
Lars Grip Sweden
Rasmus Havmoeller United States
J C Forfar United Kingdom
Jason D. Roberts
Citations per year, relative to Jason D. Roberts Jason D. Roberts (= 1×) peers Mattía Galli

Countries citing papers authored by Jason D. Roberts

Since Specialization
Citations

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

Fields of papers citing papers by Jason D. Roberts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason D. Roberts

This figure shows the co-authorship network connecting the top 25 collaborators of Jason D. Roberts. A scholar is included among the top collaborators of Jason D. Roberts 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 Jason D. Roberts. Jason D. Roberts 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.
Nix, David E., Fekade B. Sime, & Jason D. Roberts. (2025). Correction of posaconazole concentrations for hypoalbuminemia. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 45(6). 324–331.
2.
McIntyre, William F., Linda Johnson, Alexander P. Benz, et al.. (2025). Monitoring time-to-detection of recurrent atrial fibrillation in patients with transient new-onset atrial fibrillation detected initially during hospitalization for noncardiac surgery or medical illness. European Journal of Internal Medicine. 144. 106515–106515.
3.
Mann, Tomer, Arthur Bergman, Christian van der Werf, et al.. (2025). Flecainide for the Treatment of Andersen-Tawil Syndrome. JACC. Clinical electrophysiology. 11(7). 1511–1518.
4.
Steinberg, Christian, et al.. (2024). Long-term Monitoring to Detect Risk of Sudden Cardiac Death in Inherited Arrhythmia Patients. CJC Open. 6(9). 1066–1074.
5.
Ryan, Tammy & Jason D. Roberts. (2024). Stem cell models of inherited arrhythmias. Nature Cardiovascular Research. 3(4). 420–430. 2 indexed citations
6.
Roberts, Jason D., Brandon Chalazan, Jason G. Andrade, et al.. (2024). Clinical Genetic Testing for Atrial Fibrillation: Are We There Yet?. Canadian Journal of Cardiology. 40(4). 540–553. 4 indexed citations
7.
McIntyre, William F., Stuart J. Connolly, Sonia S. Anand, et al.. (2023). Atrial Fibrillation Recurrence in Patients With Transient New-Onset Atrial Fibrillation Detected During Hospitalization for Noncardiac Surgery or Medical Illness. Annals of Internal Medicine. 176(10). 1299–1307. 17 indexed citations
8.
Wallace, Michael B., Nathaniel P. Murphy, Mei Han, et al.. (2023). Impact of stress on cardiac phenotypes in mice harboring an ankyrin-B disease variant. Journal of Biological Chemistry. 299(6). 104818–104818. 1 indexed citations
9.
Ensam, Bode, Christopher C. Cheung, Bo Gregers Winkel, et al.. (2022). The Utility of Sodium Channel Provocation in Unexplained Cardiac Arrest Survivors and Electrocardiographic Predictors of Ventricular Fibrillation Recurrence. Circulation Arrhythmia and Electrophysiology. 15(12). e011263–e011263. 3 indexed citations
10.
Mohammadi‐Shemirani, Pedrum, Michael Chong, Sukrit Narula, et al.. (2022). Elevated Lipoprotein(a) and Risk of Atrial Fibrillation. Journal of the American College of Cardiology. 79(16). 1579–1590. 63 indexed citations
11.
Steinberg, Christian, Brianna Davies, Greg Mellor, et al.. (2021). Short-coupled ventricular fibrillation represents a distinct phenotype among latent causes of unexplained cardiac arrest: a report from the CASPER registry. European Heart Journal. 42(29). 2827–2838. 45 indexed citations
12.
Li, Yanhui, Jinhong Wei, Wenting Guo, et al.. (2021). Human RyR2 (Ryanodine Receptor 2) Loss-of-Function Mutations. Circulation Arrhythmia and Electrophysiology. 14(9). e010013–e010013. 18 indexed citations
14.
McGrew, Frank, et al.. (2017). EFFECTIVE CONTROL OF ATRIAL FIBRILLATION CAN BE ACHIEVED WITH VERY LOW DOSES OF AMIODARONE. Journal of the American College of Cardiology. 69(11). 372–372. 1 indexed citations
15.
Roberts, Jason D., Thomas A. Dewland, David V. Glidden, et al.. (2016). Impact of genetic variants on the upstream efficacy of renin-angiotensin system inhibitors for the prevention of atrial fibrillation. American Heart Journal. 175. 9–17. 5 indexed citations
16.
Krahn, Andrew D., Jeff S. Healey, Brenda Gerull, et al.. (2016). The Canadian Arrhythmogenic Right Ventricular Cardiomyopathy Registry: Rationale, Design, and Preliminary Recruitment. Canadian Journal of Cardiology. 32(12). 1396–1401. 8 indexed citations
17.
Roberts, Jason D., George A. Wells, Michel R. Le May, et al.. (2012). Point-of-care genetic testing for personalisation of antiplatelet treatment (RAPID GENE): a prospective, randomised, proof-of-concept trial. The Lancet. 379(9827). 1705–1711. 276 indexed citations
18.
Gollob, Michael H., Calum J. Redpath, & Jason D. Roberts. (2011). The Short QT Syndrome. Journal of the American College of Cardiology. 57(7). 802–812. 183 indexed citations
19.
Oldgren, Jonas, Andrzej Budaj, C. B. Granger, et al.. (2011). Dabigatran vs. placebo in patients with acute coronary syndromes on dual antiplatelet therapy: a randomized, double-blind, phase II trial. European Heart Journal. 32(22). 2781–2789. 369 indexed citations
20.
Roberts, Jason D. & Michael H. Gollob. (2010). Impact of Genetic Discoveries on the Classification of Lone Atrial Fibrillation. Journal of the American College of Cardiology. 55(8). 705–712. 60 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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