Standout Papers

2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation 2014 2026 2018 2022 5.4k
  1. 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation (2014)
    Craig T. January, L. Samüel Wann et al. Circulation
  2. 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation (2014)
    Craig T. January, L. Samüel Wann et al. Journal of the American College of Cardiology
  3. 2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Rhythm Society in Collaboration With the Society of Thoracic Surgeons (2019)
    Craig T. January, L. Samüel Wann et al. Circulation
  4. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations (2018)
    Amit V. Khera, Mark Chaffin et al. Nature Genetics
  5. 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation: Executive Summary (2014)
    Craig T. January, L. Samüel Wann et al. Circulation
  6. 2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation (2019)
    Craig T. January, L. Samüel Wann et al. Journal of the American College of Cardiology
  7. 50 year trends in atrial fibrillation prevalence, incidence, risk factors, and mortality in the Framingham Heart Study: a cohort study (2015)
    Renate B. Schnabel, Xiaoyan Yin et al. The Lancet
  8. Development of a risk score for atrial fibrillation (Framingham Heart Study): a community-based cohort study (2009)
    Renate B. Schnabel, Lisa Sullivan et al. The Lancet
  9. Mutations in the desmosomal protein plakophilin-2 are common in arrhythmogenic right ventricular cardiomyopathy (2004)
    Brenda Gerull, Arnd Heuser et al. Nature Genetics
  10. Distinctive pharmacology and kinetics of cloned neuronal Ca2+ channels and their possible counterparts in mammalian CNS neurons (1993)
    Andrew D. Randall, Patrick T. Ellinor et al. Neuropharmacology
  11. Atrial Fibrillation Begets Heart Failure and Vice Versa (2016)
    Rajalakshmi Santhanakrishnan, Na Wang et al. Circulation
  12. 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation: Executive Summary (2014)
    Craig T. January, L. Samüel Wann et al. Journal of the American College of Cardiology
  13. Transcriptional and Cellular Diversity of the Human Heart (2020)
    Nathan R. Tucker, Mark Chaffin et al. Circulation
  14. Transfer learning enables predictions in network biology (2023)
    Christina V. Theodoris, Ling Xiao et al. Nature
  15. 2019 AHA/ACC/HRS focused update of the 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation (2019)
    Craig T. January, L. Samüel Wann et al. Heart Rhythm
  16. Lp(a) (Lipoprotein[a]) Concentrations and Incident Atherosclerotic Cardiovascular Disease (2020)
    Aniruddh P. Patel, Minxian Wang et al. Arteriosclerosis Thrombosis and Vascular Biology
  17. Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions (2020)
    Akl C. Fahed, Minxian Wang et al. Nature Communications
  18. 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)
    Laila Stærk, Biqi Wang et al. BMJ
  19. Association of Habitual Alcohol Intake With Risk of Cardiovascular Disease (2022)
    Kiran J. Biddinger, Connor A. Emdin et al. JAMA Network Open
  20. Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender (2023)
    Stephen J. Fleming, Mark Chaffin et al. Nature Methods
  21. Single-nucleus profiling of human dilated and hypertrophic cardiomyopathy (2022)
    Mark Chaffin, Irinna Papangeli et al. Nature
  22. ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation (2021)
    Shaan Khurshid, Sam Friedman et al. Circulation
  23. A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease (2023)
    Aniruddh P. Patel, Minxian Wang et al. Nature Medicine
  24. Accelerometer-Derived “Weekend Warrior” Physical Activity and Incident Cardiovascular Disease (2023)
    Shaan Khurshid, Mostafa A. Al‐Alusi et al. JAMA
  25. Clonal Hematopoiesis of Indeterminate Potential With Loss of Tet2 Enhances Risk for Atrial Fibrillation Through Nlrp3 Inflammasome Activation (2024)
    Amy E. Lin, Aneesh Bapat et al. Circulation

Immediate Impact

8 by Nobel laureates 42 from Science/Nature 73 standout
Sub-graph 1 of 21

Citing Papers

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2 intermediate papers

Works of Patrick T. Ellinor being referenced

Transfer learning enables predictions in network biology
2023 StandoutNature
Proteomics Profiling and Risk of New‐Onset Atrial Fibrillation: Framingham Heart Study
2019

Author Peers

Author Last Decade Papers Cites
Patrick T. Ellinor 25962 7042 2272 2977 356 35.2k
Gerd Hasenfuß 22843 9710 614 1762 599 31.7k
Thomas J. Wang 20405 7834 2352 647 437 41.5k
Lina Badimón 13534 7631 967 2529 685 34.1k
Craig T. January 20426 7102 189 2845 132 23.0k
James T. Willerson 20757 9139 1430 1199 628 47.0k
Harry J.G.M. Crijns 35250 3396 248 4113 595 41.1k
Masatsugu Hori 11173 10616 2736 695 534 32.7k
Paulus Kirchhof 22251 3255 157 3170 536 25.1k
Teri A. Manolio 14593 5579 5970 857 214 36.8k
Peter J. Koudstaal 11522 2501 614 2066 444 37.8k

All Works

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2026