Connection

DANNY EAPEN to Biomarkers

This is a "connection" page, showing publications DANNY EAPEN has written about Biomarkers.
Connection Strength

0.294
  1. Biomarkers to Predict Cardiovascular Death. Card Electrophysiol Clin. 2017 12; 9(4):651-664.
    View in: PubMed
    Score: 0.068
  2. Novel biomarkers for cardiovascular risk assessment: current status and future directions. Future Cardiol. 2015 Sep; 11(5):597-613.
    View in: PubMed
    Score: 0.059
  3. Aggregate risk score based on markers of inflammation, cell stress, and coagulation is an independent predictor of adverse cardiovascular outcomes. J Am Coll Cardiol. 2013 Jul 23; 62(4):329-37.
    View in: PubMed
    Score: 0.050
  4. Metastatic carcinoid disease inducing coronary vasospasm. Tex Heart Inst J. 2012; 39(1):76-8.
    View in: PubMed
    Score: 0.045
  5. Pathway-Specific Aggregate Biomarker Risk Score Is Associated With Burden of Coronary Artery Disease and Predicts Near-Term Risk of Myocardial Infarction and Death. Circ Cardiovasc Qual Outcomes. 2017 03; 10(3).
    View in: PubMed
    Score: 0.016
  6. Response to Letter Regarding Article "Novel Biomarker of Oxidative Stress Is Associated With Risk of Death in Patients With Coronary Artery Disease". Circulation. 2016 May 31; 133(22):e667.
    View in: PubMed
    Score: 0.015
  7. Novel Biomarker of Oxidative Stress Is Associated With Risk of Death in Patients With Coronary Artery Disease. Circulation. 2016 Jan 26; 133(4):361-9.
    View in: PubMed
    Score: 0.015
  8. Plasma soluble urokinase-type plasminogen activator receptor level is independently associated with coronary microvascular function in patients with non-obstructive coronary artery disease. Atherosclerosis. 2015 Mar; 239(1):55-60.
    View in: PubMed
    Score: 0.014
  9. The role of C-reactive protein as a risk predictor of coronary atherosclerosis: implications from the JUPITER trial. Curr Atheroscler Rep. 2011 Apr; 13(2):154-61.
    View in: PubMed
    Score: 0.011
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.