Standout Papers

General Cardiovascular Risk Profile for Use in Primary Care 2004 2026 2011 2018 5.1k
  1. General Cardiovascular Risk Profile for Use in Primary Care (2008)
    Ralph B. D’Agostino, Ramachandran S. Vasan et al. Circulation
  2. Assessing the Performance of Prediction Models (2009)
    Ewout W. Steyerberg, Andrew J. Vickers et al. Epidemiology
  3. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers (2010)
    Michael Pencina, Ralph B. D’Agostino et al. Statistics in Medicine
  4. Effect of Sitagliptin on Cardiovascular Outcomes in Type 2 Diabetes (2015)
    Jennifer B. Green, M. Angelyn Bethel et al. New England Journal of Medicine
  5. Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation (2004)
    Michael Pencina, Ralph B. D’Agostino Statistics in Medicine
  6. One-Year Cardiovascular Event Rates in Outpatients With Atherothrombosis (2007)
    Philippe Gabríel Steg, Deepak L. Bhatt et al. JAMA
  7. On the C‐statistics for evaluating overall adequacy of risk prediction procedures with censored survival data (2011)
    Hajime Uno, Tianxi Cai et al. Statistics in Medicine
  8. Diagnostic Accuracy of Fractional Flow Reserve From Anatomic CT Angiography (2012)
    James K. Min, Jonathon Leipsic et al. JAMA
  9. Effect of Linagliptin vs Placebo on Major Cardiovascular Events in Adults With Type 2 Diabetes and High Cardiovascular and Renal Risk (2018)
    Julio Rosenstock, Vlado Perkovic et al. JAMA
  10. Predicting the 30-Year Risk of Cardiovascular Disease (2009)
    Michael Pencina, Ralph B. D’Agostino et al. Circulation
  11. Carotid-Wall Intima–Media Thickness and Cardiovascular Events (2011)
    Joseph F. Polak, Michael Pencina et al. New England Journal of Medicine
  12. Improved Cardiac Risk Assessment With Noninvasive Measures of Coronary Flow Reserve (2011)
    Venkatesh L. Murthy, Masanao Naya et al. Circulation
  13. Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review (2016)
    Benjamin A. Goldstein, Ann Marie Návar et al. Journal of the American Medical Informatics Association
  14. Application of New Cholesterol Guidelines to a Population-Based Sample (2014)
    Michael Pencina, Ann Marie Navar‐Boggan et al. New England Journal of Medicine
  15. A calibration hierarchy for risk models was defined: from utopia to empirical data (2016)
    Ben Van Calster, Daan Nieboer et al. Journal of Clinical Epidemiology
  16. Net Reclassification Improvement: Computation, Interpretation, and Controversies (2014)
    Maarten J.G. Leening, Moniek M. Vedder et al. Annals of Internal Medicine
  17. Interpreting Incremental Value of Markers Added to Risk Prediction Models (2012)
    Michael Pencina, Ralph B. D’Agostino et al. American Journal of Epidemiology
  18. Apolipoprotein B Particles and Cardiovascular Disease (2019)
    Allan D. Sniderman, George Thanassoulis et al. JAMA Cardiology
  19. The ORBIT bleeding score: a simple bedside score to assess bleeding risk in atrial fibrillation (2015)
    Emily C. O’Brien, DaJuanicia N. Simon et al. European Heart Journal
  20. Prognostic Value of Noninvasive Cardiovascular Testing in Patients With Stable Chest Pain (2017)
    Udo Hoffmann, Maros Ferencik et al. Circulation
  21. Novel Prediction Equations for Absolute Risk Assessment of Total Cardiovascular Disease Incorporating Cardiovascular-Kidney-Metabolic Health: A Scientific Statement From the American Heart Association (2023)
    Sadiya S. Khan, Josef Coresh et al. Circulation
  22. The Predictive Approaches to Treatment effect Heterogeneity (PATH) Statement (2019)
    David M. Kent, Jessica K. Paulus et al. Annals of Internal Medicine
  23. Managing Atherosclerotic Cardiovascular Risk in Young Adults (2022)
    Neil J. Stone, Sidney C. Smith et al. Journal of the American College of Cardiology

Immediate Impact

1 by Nobel laureates 4 from Science/Nature 107 standout
Sub-graph 1 of 21

Citing Papers

Global Effect of Modifiable Risk Factors on Cardiovascular Disease and Mortality
2023 Standout
Early detection of cancer
2022 StandoutScience

Works of Michael Pencina being referenced

Assessing the Performance of Prediction Models
2009 Standout
Predicting the 30-Year Risk of Cardiovascular Disease
2009 Standout

Author Peers

Author Last Decade Papers Cites
Michael Pencina 12517 9248 2833 7030 324 34.8k
Curt D. Furberg 17052 8595 3544 8716 335 37.4k
David C. Goff 16536 7317 2586 10919 295 34.6k
Ian Ford 11722 11408 3434 6583 352 33.1k
Christopher J. O’Donnell 16288 6703 1312 5252 331 36.7k
Philip Greenland 19627 12931 2723 7126 446 43.6k
Bruce M. Psaty 20003 6265 2500 6666 640 44.8k
Jeffrey L. Anderson 18971 7827 1630 2920 516 34.3k
Christopher H. Schmid 10109 9790 2128 6591 392 60.9k
Nanette K. Wenger 19927 10111 2751 6226 360 34.7k
Roger S. Blumenthal 19874 11826 2616 8551 745 43.0k

All Works

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Rankless by CCL
2026