Standout Papers
- Coronary Calcium as a Predictor of Coronary Events in Four Racial or Ethnic Groups (2008)
- Forecasting the Impact of Heart Failure in the United States (2013)
- Standardized image interpretation and post processing in cardiovascular magnetic resonance: Society for Cardiovascular Magnetic Resonance (SCMR) Board of Trustees Task Force on Standardized Post Processing (2013)
- Assessment of Myocardial Fibrosis With Cardiovascular Magnetic Resonance (2011)
- MRI Evaluation of the Contralateral Breast in Women with Recently Diagnosed Breast Cancer (2007)
- The Relationship of Left Ventricular Mass and Geometry to Incident Cardiovascular Events (2008)
- Infarct Tissue Heterogeneity by Magnetic Resonance Imaging Identifies Enhanced Cardiac Arrhythmia Susceptibility in Patients With Left Ventricular Dysfunction (2007)
- ACCF/ACR/AHA/NASCI/SCMR 2010 Expert Consensus Document on Cardiovascular Magnetic Resonance (2010)
- Standardized image interpretation and post-processing in cardiovascular magnetic resonance - 2020 update (2020)
- Normal values for cardiovascular magnetic resonance in adults and children (2015)
- Cardiovascular Event Prediction by Machine Learning (2017)
- Percent Emphysema, Airflow Obstruction, and Impaired Left Ventricular Filling (2010)
- Long COVID: post-acute sequelae of COVID-19 with a cardiovascular focus (2022)
- Reference ranges (“normal values”) for cardiovascular magnetic resonance (CMR) in adults and children: 2020 update (2020)
- Evaluation for Myocarditis in Competitive Student Athletes Recovering From Coronavirus Disease 2019 With Cardiac Magnetic Resonance Imaging (2021)
Immediate Impact
2 by Nobel laureates 6 from Science/Nature 82 standout
Citing Papers
Long COVID: a clinical update
2024 Standout
Accurate proteome-wide missense variant effect prediction with AlphaMissense
2023 StandoutScienceNobel
Works of David A. Bluemke being referenced
Long COVID: post-acute sequelae of COVID-19 with a cardiovascular focus
2022 Standout
Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches
2013
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| David A. Bluemke | 31166 | 24563 | 8289 | 8397 | 914 | 54.7k | |
| Matthew J. Budoff | 25447 | 26724 | 7231 | 16121 | 1.4k | 57.7k | |
| João A.C. Lima | 34583 | 22731 | 6435 | 9093 | 993 | 52.1k | |
| Michael H. Picard | 39654 | 12908 | 8027 | 8859 | 356 | 48.9k | |
| Roberto M. Lang | 46736 | 16690 | 10007 | 11246 | 684 | 56.7k | |
| Pamela S. Douglas | 25537 | 11920 | 4742 | 7656 | 668 | 38.2k | |
| Patricia A. Pellikka | 36475 | 15852 | 7719 | 8312 | 583 | 45.7k | |
| Dudley J. Pennell | 23260 | 18491 | 4354 | 6014 | 590 | 37.4k | |
| Thomas H. Marwick | 40224 | 20484 | 4669 | 7961 | 929 | 48.4k | |
| Daniel B. Mark | 32465 | 11647 | 4782 | 12868 | 490 | 50.9k | |
| Patrizio Lancellotti | 45290 | 13837 | 8991 | 11988 | 465 | 54.2k |
All Works
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