Steven A. Lubitz

53.4k total citations · 6 hit papers
222 papers, 11.5k citations indexed

About

Steven A. Lubitz is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Steven A. Lubitz has authored 222 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Cardiology and Cardiovascular Medicine, 26 papers in Molecular Biology and 25 papers in Epidemiology. Recurrent topics in Steven A. Lubitz's work include Atrial Fibrillation Management and Outcomes (118 papers), Cardiac Arrhythmias and Treatments (68 papers) and Cardiac electrophysiology and arrhythmias (49 papers). Steven A. Lubitz is often cited by papers focused on Atrial Fibrillation Management and Outcomes (118 papers), Cardiac Arrhythmias and Treatments (68 papers) and Cardiac electrophysiology and arrhythmias (49 papers). Steven A. Lubitz collaborates with scholars based in United States, Germany and Netherlands. Steven A. Lubitz's co-authors include Patrick T. Ellinor, Emelia J. Benjamin, David D. McManus, Jared W. Magnani, Martin G. Larson, Daniel Levy, Seung Hoan Choi, Ramachandran S. Vasan, Carolina Roselli and Amit V. Khera and has published in prestigious journals such as New England Journal of Medicine, The Lancet and JAMA.

In The Last Decade

Steven A. Lubitz

214 papers receiving 11.4k citations

Hit Papers

5 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.

Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations

2018 1.6k citations Amit V. Khera, Mark Chaffin et al. Nature Genetics profile →
50 year trends in atrial fibrillation prevalence, incidence, risk factors, and mortality in the Framingham Heart Study: a cohort study

2015 1.1k citations Renate B. Schnabel, Martin G. Larson et al. profile →
Atrial Fibrillation Begets Heart Failure and Vice Versa

2016 550 citations Rajalakshmi Santhanakrishnan, Na Wang et al. Circulation profile →
Lifetime risk of atrial fibrillation according to optimal, borderline, or elevated levels of risk factors: cohort study based on longitudinal data from the Framingham Heart Study

2018 237 citations Martin G. Larson, Steven A. Lubitz et al. profile →
Detection of Atrial Fibrillation in a Large Population Using Wearable Devices: The Fitbit Heart Study

2022 173 citations Steven A. Lubitz, Anthony Z. Faranesh et al. Circulation profile →
ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation

2021 167 citations Shaan Khurshid, Sam Friedman 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
Steven A. Lubitz United States	52	7.7k	1.5k	1.5k	1.1k	1.1k	222	11.5k
Christopher Newton‐Cheh United States	49	6.3k 0.8×	2.4k 1.6×	1.5k 1.0×	1.3k 1.2×	964 0.9×	124	10.8k
Peter Riis Hansen Denmark	62	5.8k 0.8×	1.4k 0.9×	656 0.4×	2.1k 1.9×	1.6k 1.5×	334	14.1k
Connor A. Emdin United Kingdom	29	4.3k 0.6×	1.1k 0.7×	1.5k 1.0×	1.2k 1.0×	1.1k 1.0×	48	9.1k
Jacqueline C.M. Witteman Netherlands	49	5.4k 0.7×	1.3k 0.9×	809 0.5×	1.4k 1.2×	1.3k 1.2×	108	11.9k
Michael J. Pencina United States	35	6.6k 0.9×	1.4k 0.9×	718 0.5×	2.3k 2.0×	1.8k 1.7×	46	14.7k
Pim van der Harst Netherlands	54	5.4k 0.7×	2.6k 1.7×	1.1k 0.8×	1.8k 1.6×	934 0.9×	385	12.5k
Renate B. Schnabel Germany	56	8.6k 1.1×	1.5k 1.0×	384 0.3×	1.6k 1.5×	1.9k 1.8×	294	12.8k
Iftikhar J. Kullo United States	53	2.6k 0.3×	1.9k 1.3×	1.6k 1.0×	2.3k 2.0×	1.2k 1.1×	289	9.3k
Jean‐Sébastien Hulot France	54	5.3k 0.7×	1.8k 1.2×	548 0.4×	2.2k 2.0×	730 0.7×	218	10.7k
Eric Leip United States	36	9.9k 1.3×	949 0.6×	315 0.2×	1.3k 1.2×	1.0k 0.9×	117	14.6k

Countries citing papers authored by Steven A. Lubitz

Since Specialization

Citations

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

Fields of papers citing papers by Steven A. Lubitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven A. Lubitz

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

Friedman, Sam, Shaan Khurshid, Xin Wang, et al.. (2025). Unsupervised deep learning of electrocardiograms enables scalable human disease profiling. npj Digital Medicine. 8(1). 23–23. 4 indexed citations

Lubitz, Steven A., Michael V. McConnell, Caitlin Selvaggi, et al.. (2025). Wearable Irregular Heart Rhythm Detection Recurrences and Electrocardiographic Atrial Fibrillation Confirmation: The Fitbit Heart Study. Circulation Arrhythmia and Electrophysiology. 18(7). e013565–e013565.

Kany, Shinwan, Mostafa A. Al‐Alusi, Joel Rämö, et al.. (2025). “Weekend Warrior” Physical Activity and Adipose Tissue Deposition. JACC Advances. 4(3). 101603–101603.

Pirruccello, James P., Paolo Di Achille, Seung Hoan Choi, et al.. (2024). Deep learning of left atrial structure and function provides link to atrial fibrillation risk. Nature Communications. 15(1). 4304–4304. 10 indexed citations

Lau, Emily S., Paolo Di Achille, Pulkit Singh, et al.. (2023). Deep Learning–Enabled Assessment of Left Heart Structure and Function Predicts Cardiovascular Outcomes. Journal of the American College of Cardiology. 82(20). 1936–1948. 27 indexed citations

Wang, Xin, Shaan Khurshid, Seung Hoan Choi, et al.. (2023). Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-Lead Electrocardiograms. Circulation Genomic and Precision Medicine. 16(4). 340–349. 7 indexed citations

Khurshid, Shaan, Timothy W. Churchill, Nathaniel Diamant, et al.. (2023). Deep learned representations of the resting 12-lead electrocardiogram to predict at peak exercise. European Journal of Preventive Cardiology. 31(2). 252–262. 6 indexed citations

Nauffal, Victor, Paolo Di Achille, Marcus D. R. Klarqvist, et al.. (2023). Genetics of myocardial interstitial fibrosis in the human heart and association with disease. Nature Genetics. 55(5). 777–786. 39 indexed citations

Radhakrishnan, Adityanarayanan, Sam Friedman, Shaan Khurshid, et al.. (2023). Cross-modal autoencoder framework learns holistic representations of cardiovascular state. Nature Communications. 14(1). 2436–2436. 30 indexed citations

10.

Schuermans, Art, Caitlyn Vlasschaert, Victor Nauffal, et al.. (2023). Abstract 13052: Clonal Hematopoiesis of Indeterminate Potential Predicts Incident Cardiac Arrhythmias. Circulation. 148(Suppl_1). 1 indexed citations

11.

Lubitz, Steven A., Steven J. Atlas, Jeffrey M. Ashburner, et al.. (2022). Screening for Atrial Fibrillation in Older Adults at Primary Care Visits: VITAL-AF Randomized Controlled Trial. Circulation. 145(13). 946–954. 63 indexed citations

12.

Cunningham, Jonathan W., Paolo Di Achille, Valerie N. Morrill, et al.. (2022). Machine Learning to Understand Genetic and Clinical Factors Associated With the Pulse Waveform Dicrotic Notch. Circulation Genomic and Precision Medicine. 16(1). e003676–e003676. 10 indexed citations

13.

Marston, Nicholas, Amanda C. Garfinkel, Frederick Kamanu, et al.. (2022). A polygenic risk score predicts atrial fibrillation in cardiovascular disease. European Heart Journal. 44(3). 221–231. 43 indexed citations

14.

Ashburner, Jeffrey M., Yuchiao Chang, Xin Wang, et al.. (2022). Natural Language Processing to Improve Prediction of Incident Atrial Fibrillation Using Electronic Health Records. Journal of the American Heart Association. 11(15). e026014–e026014. 8 indexed citations

15.

Khurshid, Shaan, Nina Mars, Christopher M. Haggerty, et al.. (2021). Predictive Accuracy of a Clinical and Genetic Risk Model for Atrial Fibrillation. Circulation Genomic and Precision Medicine. 14(5). e003355–e003355. 22 indexed citations

16.

Marston, Nicholas, Yared Gurmu, Giorgio Melloni, et al.. (2020). The Effect of PCSK9 (Proprotein Convertase Subtilisin/Kexin Type 9) Inhibition on the Risk of Venous Thromboembolism. Circulation. 141(20). 1600–1607. 65 indexed citations

17.

Pirruccello, James P., Alexander G. Bick, Minxian Wang, et al.. (2020). Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy. Nature Communications. 11(1). 129 indexed citations

18.

Choe, Won-Seok, Jun Hyuk Kang, Eue‐Keun Choi, et al.. (2018). A Genetic Risk Score for Atrial Fibrillation Predicts the Response to Catheter Ablation. Korean Circulation Journal. 49(4). 338–338. 20 indexed citations

19.

Santhanakrishnan, Rajalakshmi, Na Wang, Martin G. Larson, et al.. (2016). Atrial Fibrillation Begets Heart Failure and Vice Versa. Circulation. 133(5). 484–492. 550 indexed citations breakdown →

20.

Schnabel, Renate B., Michiel Rienstra, Lisa Sullivan, et al.. (2013). Risk Assessment for Incident Heart Failure in Individuals With Atrial Fibrillation. European Journal of Heart Failure. 15(8). 843–849. 86 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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