Jeffrey E. Olgin

19.4k total citations · 5 hit papers
248 papers, 12.2k citations indexed

About

Jeffrey E. Olgin is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Surgery. According to data from OpenAlex, Jeffrey E. Olgin has authored 248 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 176 papers in Cardiology and Cardiovascular Medicine, 17 papers in Physiology and 16 papers in Surgery. Recurrent topics in Jeffrey E. Olgin's work include Cardiac Arrhythmias and Treatments (110 papers), Atrial Fibrillation Management and Outcomes (96 papers) and Cardiac electrophysiology and arrhythmias (90 papers). Jeffrey E. Olgin is often cited by papers focused on Cardiac Arrhythmias and Treatments (110 papers), Atrial Fibrillation Management and Outcomes (96 papers) and Cardiac electrophysiology and arrhythmias (90 papers). Jeffrey E. Olgin collaborates with scholars based in United States, Canada and Australia. Jeffrey E. Olgin's co-authors include Gregory M. Marcus, Mark J. Pletcher, Jonathan M. Kalman, Thomas H. Everett, Michael D. Lesh, Eric Vittinghoff, Emily Wilson, Melvin M. Scheinman, Geoffrey H. Tison and Douglas P. Zipes and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Jeffrey E. Olgin

241 papers receiving 11.9k citations

Hit Papers

Worldwide Effect of COVID-19 on Physical Activity: A... 2016 2026 2019 2022 2020 2020 2018 2021 2016 100 200 300 400 500
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. Worldwide Effect of COVID-19 on Physical Activity: A Descriptive Study
    2020 550 citations Geoffrey H. Tison, Gregory M. Marcus et al. profile →
  2. Effects of Time-Restricted Eating on Weight Loss and Other Metabolic Parameters in Women and Men With Overweight and Obesity
    2020 357 citations Eric Vittinghoff, Jeffrey E. Olgin et al. profile →
  3. Passive Detection of Atrial Fibrillation Using a Commercially Available Smartwatch
    2018 345 citations Geoffrey H. Tison, Jeffrey E. Olgin et al. profile →
  4. Analysis of COVID-19 Vaccine Type and Adverse Effects Following Vaccination
    2021 243 citations Alexis L. Beatty, Noah D. Peyser et al. profile →
  5. Direct Measurements of Smartphone Screen-Time: Relationships with Demographics and Sleep
    2016 208 citations Matthew A. Christensen, Jeffrey E. Olgin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey E. Olgin United States 60 8.3k 1.1k 1.1k 869 600 248 12.2k
Ewa A. Jankowska Poland 50 9.4k 1.1× 1.5k 1.3× 1.5k 1.3× 1.6k 1.8× 1.1k 1.8× 380 15.5k
Olga Khavjou United States 24 3.4k 0.4× 873 0.8× 584 0.5× 995 1.1× 1.1k 1.9× 65 8.0k
Josef Niebauer Austria 45 8.1k 1.0× 3.1k 2.7× 1.4k 1.2× 1.9k 2.1× 995 1.7× 269 13.8k
Fabián Sanchis‐Gomar Spain 50 2.8k 0.3× 2.5k 2.2× 1.7k 1.5× 1.0k 1.2× 1.4k 2.3× 273 11.6k
Lee W. Jones United States 81 4.4k 0.5× 3.7k 3.3× 1.3k 1.2× 989 1.1× 555 0.9× 286 18.6k
David D. McManus United States 57 8.8k 1.1× 424 0.4× 808 0.7× 1.2k 1.3× 1.2k 2.0× 395 11.7k
Steven R. Steinhubl United States 43 3.2k 0.4× 548 0.5× 496 0.4× 1.5k 1.7× 560 0.9× 172 8.0k
Ben Freedman Australia 55 7.1k 0.9× 476 0.4× 1.2k 1.1× 1.4k 1.6× 1.1k 1.8× 307 12.9k
Emir Veledar United States 50 3.3k 0.4× 558 0.5× 479 0.4× 1.5k 1.8× 1.3k 2.2× 267 8.1k
Jeanne Y. Wei United States 49 3.4k 0.4× 1.2k 1.1× 2.3k 2.1× 1.4k 1.6× 456 0.8× 213 10.6k

Countries citing papers authored by Jeffrey E. Olgin

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey E. Olgin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey E. Olgin. 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 Jeffrey E. Olgin. The network helps show where Jeffrey E. Olgin may publish in the future.

Co-authorship network of co-authors of Jeffrey E. Olgin

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey E. Olgin. A scholar is included among the top collaborators of Jeffrey E. Olgin 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 Jeffrey E. Olgin. Jeffrey E. Olgin 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.
Rämö, Joel, David Playford, Geoff Strange, et al.. (2025). New Threshold for Defining Mild Aortic Stenosis Derived From Velocity-Encoded MRI in 60,000 Individuals. Journal of the American College of Cardiology. 85(13). 1387–1399. 2 indexed citations
2.
Kany, Shinwan, Joel Rämö, Sean J. Jurgens, et al.. (2025). Multitrait analyses identify genetic variants associated with aortic valve function and aortic stenosis risk. Nature Genetics. 58(1). 47–56.
3.
Ciuffo, Luisa, Monica Tung, Jonathan W. Dukes, et al.. (2024). Acute alcohol exposure and electrocardiographic changes: Finding from the HOLIDAY trial. Journal of Electrocardiology. 83. 26–29. 1 indexed citations
4.
McLaughlin, Megan, et al.. (2023). Development of text messages for primary prevention of cardiovascular disease in persons with HIV. PubMed. 4(6). 191–197. 1 indexed citations
5.
Wong, Christopher X., Madelaine Faulkner Modrow, Janet Tang, et al.. (2023). Preceding Night Sleep Quality and Atrial Fibrillation Episodes in the I-STOP-AFIB Randomized Trial. JACC. Clinical electrophysiology. 10(1). 56–64. 6 indexed citations
6.
Zheng, Yaguang, Yanfu Zhang, Heng Huang, et al.. (2023). Interindividual Variability in Self-Monitoring of Blood Pressure Using Consumer-Purchased Wireless Devices. Nursing Research. 72(4). 310–318. 2 indexed citations
7.
Higuchi, Satoshi, Aleksandr Voskoboinik, Sung Il Im, et al.. (2023). Frequent Premature Atrial Contractions Lead to Adverse Atrial Remodeling and Atrial Fibrillation in a Swine Model. Circulation. 149(6). 463–474. 3 indexed citations
8.
Lin, Ting‐Yu, N. Quynh, Emily B. Wilson, et al.. (2023). Cardiac contraction and relaxation are regulated by distinct subcellular cAMP pools. Nature Chemical Biology. 20(1). 62–73. 29 indexed citations
9.
Chow, Eric J., Yan Chen, Gregory T. Armstrong, et al.. (2022). Underdiagnosis and Undertreatment of Modifiable Cardiovascular Risk Factors Among Survivors of Childhood Cancer. Journal of the American Heart Association. 11(12). e024735–e024735. 34 indexed citations
10.
Block, Valerie J., Richard Cuneo, Gina Kirkish, et al.. (2022). Association of daily physical activity with brain volumes and cervical spinal cord areas in multiple sclerosis. Multiple Sclerosis Journal. 29(3). 363–373. 9 indexed citations
11.
Vittinghoff, Eric, Gregory Nah, Noah D. Peyser, et al.. (2021). Characteristics and Behaviors Associated with Prevalent SARS-CoV-2 Infection. International Journal of General Medicine. Volume 14. 1063–1067. 7 indexed citations
12.
13.
Aschbacher, Kirstin, Yaniv Kerem, Stuart L. Crawford, et al.. (2020). Atrial fibrillation detection from raw photoplethysmography waveforms: A deep learning application. Heart Rhythm O2. 1(1). 3–9. 45 indexed citations
14.
Spartano, Nicole L., Honghuang Lin, Fangui Sun, et al.. (2019). Comparison of On-Site Versus Remote Mobile Device Support in the Framingham Heart Study Using the Health eHeart Study for Digital Follow-up: Randomized Pilot Study Set Within an Observational Study Design. JMIR mhealth and uhealth. 7(9). e13238–e13238. 11 indexed citations
15.
Delling, Francesca N., Eric Vittinghoff, Thomas A. Dewland, et al.. (2019). Does cannabis legalisation change healthcare utilisation? A population-based study using the healthcare cost and utilisation project in Colorado, USA. BMJ Open. 9(5). e027432–e027432. 31 indexed citations
16.
Parikh, Nisha I., Kristopher Kapphahn, Haley Hedlin, et al.. (2018). Effects of reproductive period duration and number of pregnancies on midlife ECG indices: a secondary analysis from the Women’s Health Initiative Clinical Trial. BMJ Open. 8(8). e019129–e019129. 8 indexed citations
17.
Christensen, Matthew A., Shalini Dixit, Isaac R. Whitman, et al.. (2016). Abstract 13423: Sleep Disruption is Associated With Incident Atrial Fibrillation Independent of Obstructive Sleep Apnea. Circulation. 134(suppl_1). 1 indexed citations
18.
19.
Kim, Anthony, et al.. (2013). Abstract 17905: Sudden Neurological Death: A Substantial Contributor to Causes of WHO Sudden Cardiac Deaths. Circulation. 128. 1 indexed citations
20.
Lee, Ken W., Thomas H. Everett, María José Guerra Palmero, et al.. (2006). Pirfenidone Prevents the Development of a Vulnerable Substrate for Atrial Fibrillation in a Canine Model of Heart Failure. Circulation. 114(16). 1703–1712. 194 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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