David A. Bluemke

85.6k total citations · 15 hit papers
934 papers, 56.4k citations indexed

About

David A. Bluemke is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David A. Bluemke has authored 934 papers receiving a total of 56.4k indexed citations (citations by other indexed papers that have themselves been cited), including 532 papers in Cardiology and Cardiovascular Medicine, 506 papers in Radiology, Nuclear Medicine and Imaging and 160 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David A. Bluemke's work include Cardiac Imaging and Diagnostics (345 papers), Cardiovascular Function and Risk Factors (278 papers) and Advanced MRI Techniques and Applications (220 papers). David A. Bluemke is often cited by papers focused on Cardiac Imaging and Diagnostics (345 papers), Cardiovascular Function and Risk Factors (278 papers) and Advanced MRI Techniques and Applications (220 papers). David A. Bluemke collaborates with scholars based in United States, Germany and United Kingdom. David A. Bluemke's co-authors include João A.C. Lima, Richard A. Kronmal, Hugh Calkins, Elliot K. Fishman, Ihab R. Kamel, Gregory L. Burke, Colin O. Wu, Michael A. Jacobs, Harikrishna Tandri and Kiang Liu and has published in prestigious journals such as New England Journal of Medicine, JAMA and Circulation.

In The Last Decade

David A. Bluemke

911 papers receiving 55.2k citations

Hit Papers

Coronary Calcium as a Predictor of Coronary Events in Fou... 2007 2026 2013 2019 2008 2013 2013 2011 2007 500 1000 1.5k 2.0k
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. Coronary Calcium as a Predictor of Coronary Events in Four Racial or Ethnic Groups
    2008 2.1k citations Kiang Liu, David A. Bluemke et al. profile →
  2. Forecasting the Impact of Heart Failure in the United States
    2013 2.1k citations Paul A. Heidenreich, Nancy M. Albert et al. Circulation Heart Failure profile →
  3. 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 1.2k citations Jeanette Schulz‐Menger, David A. Bluemke et al. Journal of Cardiovascular Magnetic Resonance profile →
  4. Assessment of Myocardial Fibrosis With Cardiovascular Magnetic Resonance
    2011 710 citations David A. Bluemke, João A.C. Lima et al. profile →
  5. MRI Evaluation of the Contralateral Breast in Women with Recently Diagnosed Breast Cancer
    2007 641 citations David A. Bluemke et al. profile →
  6. The Relationship of Left Ventricular Mass and Geometry to Incident Cardiovascular Events
    2008 615 citations David A. Bluemke, Richard A. Kronmal et al. profile →
  7. Infarct Tissue Heterogeneity by Magnetic Resonance Imaging Identifies Enhanced Cardiac Arrhythmia Susceptibility in Patients With Left Ventricular Dysfunction
    2007 588 citations David A. Bluemke, Gary Gerstenblith et al. Circulation profile →
  8. ACCF/ACR/AHA/NASCI/SCMR 2010 Expert Consensus Document on Cardiovascular Magnetic Resonance
    2010 578 citations David A. Bluemke, Scott D. Flamm et al. Circulation profile →
  9. Standardized image interpretation and post-processing in cardiovascular magnetic resonance - 2020 update
    2020 574 citations Jeanette Schulz‐Menger, David A. Bluemke et al. Journal of Cardiovascular Magnetic Resonance profile →
  10. Normal values for cardiovascular magnetic resonance in adults and children
    2015 544 citations Sven Plein, David A. Bluemke et al. Journal of Cardiovascular Magnetic Resonance profile →
  11. Cardiovascular Event Prediction by Machine Learning
    2017 412 citations Bharath Ambale‐Venkatesh, Colin O. Wu et al. profile →
  12. Percent Emphysema, Airflow Obstruction, and Impaired Left Ventricular Filling
    2010 381 citations R. Graham Barr, David A. Bluemke et al. profile →
  13. Long COVID: post-acute sequelae of COVID-19 with a cardiovascular focus
    2022 361 citations David A. Bluemke et al. profile →
  14. Reference ranges (“normal values”) for cardiovascular magnetic resonance (CMR) in adults and children: 2020 update
    2020 350 citations Bharath Ambale‐Venkatesh, Rob J. van der Geest et al. Journal of Cardiovascular Magnetic Resonance profile →
  15. Evaluation for Myocarditis in Competitive Student Athletes Recovering From Coronavirus Disease 2019 With Cardiac Magnetic Resonance Imaging
    2021 141 citations David A. Bluemke et al. profile →

Peers

David A. Bluemke
Matthew J. Budoff United States
João A.C. Lima United States
Michael H. Picard United States
Roberto M. Lang United States
Pamela S. Douglas United States
Patricia A. Pellikka United States
Dudley J. Pennell United Kingdom
Daniel B. Mark United States
Thomas H. Marwick Australia
Patrizio Lancellotti Belgium
Matthew J. Budoff United States
David A. Bluemke
Citations per year, relative to David A. Bluemke David A. Bluemke (= 1×) peers Matthew J. Budoff

Countries citing papers authored by David A. Bluemke

Since Specialization
Citations

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

Fields of papers citing papers by David A. Bluemke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Bluemke. 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 David A. Bluemke. The network helps show where David A. Bluemke may publish in the future.

Co-authorship network of co-authors of David A. Bluemke

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Bluemke. A scholar is included among the top collaborators of David A. Bluemke 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 David A. Bluemke. David A. Bluemke 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.
Quinaglia, Thiago, Théo Pezel, Colin O. Wu, et al.. (2024). Change in left atrial function and volume predicts incident heart failure with preserved and reduced ejection fraction: Multi-Ethnic Study of Atherosclerosis. European Heart Journal - Cardiovascular Imaging. 25(11). 1577–1587. 2 indexed citations
2.
Ferreira, Vanessa M., Sven Plein, Timothy C. Wong, et al.. (2023). Cardiovascular magnetic resonance for evaluation of cardiac involvement in COVID-19: recommendations by the Society for Cardiovascular Magnetic Resonance. Journal of Cardiovascular Magnetic Resonance. 25(1). 21–21. 22 indexed citations
3.
Hathaway, Quincy A., David A. Bluemke, Matthew J. Budoff, et al.. (2023). CT-derived pectoralis composition and incident pneumonia hospitalization using fully automated deep-learning algorithm: multi-ethnic study of atherosclerosis. European Radiology. 34(6). 4163–4175. 1 indexed citations
4.
Wu, Colin O., Kiang Liu, David A. Bluemke, et al.. (2023). Association between Biomarkers of Inflammation and 10-Year Changes in Aortic Stiffness: The Multi-Ethnic Study of Atherosclerosis. Journal of Clinical Medicine. 12(15). 5062–5062. 1 indexed citations
5.
Liu, Chia‐Ying, et al.. (2023). Sex-specific associations in multiparametric 3 T MRI measurements in adult livers. Abdominal Radiology. 48(10). 3072–3078. 1 indexed citations
6.
Chehab, Omar, Mahsima Shabani, Karol E. Watson, et al.. (2023). Endogenous Sex Hormone Levels and Myocardial Fibrosis in Men and Postmenopausal Women. JACC Advances. 2(3). 100320–100320. 10 indexed citations
7.
Zghaib, Tarek, Thiago Quinaglia, Bharath Ambale‐Venkatesh, et al.. (2023). Association between Left Atrial Late Gadolinium Enhancement and Atrial Fibrillation: The Multi-Ethnic Study of Atherosclerosis (MESA). Radiology Cardiothoracic Imaging. 5(4). e220047–e220047. 1 indexed citations
8.
Berardi, Cecilia, David A. Bluemke, Brian A. Houston, et al.. (2022). Association of soluble Flt-1 with heart failure and cardiac morphology: The MESA angiogenesis study. The Journal of Heart and Lung Transplantation. 41(5). 619–625. 4 indexed citations
9.
Kolossváry, Márton, Gary Gerstenblith, David A. Bluemke, et al.. (2021). Contribution of Risk Factors to the Development of Coronary Atherosclerosis as Confirmed via Coronary CT Angiography: A Longitudinal Radiomics-based Study. Radiology. 299(1). 97–106. 28 indexed citations
10.
Bebu, Ionut, David S. Schade, Barbara H. Braffett, et al.. (2020). Risk Factors for First and Subsequent CVD Events in Type 1 Diabetes: The DCCT/EDIC Study. Diabetes Care. 43(4). 867–874. 63 indexed citations
11.
Leary, Peter J., Richard A. Kronmal, David A. Bluemke, et al.. (2017). Histamine H2 Receptor Polymorphisms, Myocardial Transcripts, and Heart Failure (from the Multi-Ethnic Study of Atherosclerosis and Beta-Blocker Effect on Remodeling and Gene Expression Trial). The American Journal of Cardiology. 121(2). 256–261. 14 indexed citations
12.
Yoneyama, Kihei, Bharath Ambale‐Venkatesh, David A. Bluemke, Robyn L. McClelland, & João A.C. Lima. (2016). Cardiovascular magnetic resonance in an adult human population: serial observations from the multi-ethnic study of atherosclerosis. Journal of Cardiovascular Magnetic Resonance. 19(1). 52–52. 36 indexed citations
13.
Heidenreich, Paul A., Nancy M. Albert, Larry A. Allen, et al.. (2013). Forecasting the Impact of Heart Failure in the United States. Circulation Heart Failure. 6(3). 606–619. 2070 indexed citations breakdown →
14.
Ilkhanoff, Leonard, Kiang Liu, Hongyan Ning, et al.. (2012). Association of QRS Duration with Left Ventricular Structure and Function and Risk of Heart Failure in Middle-Aged and Older Adults: The Multi-Ethnic Study of Atherosclerosis (MESA). European Journal of Heart Failure. 14(11). 1285–1292. 42 indexed citations
15.
Nazarian, Saman, Aravindan Kolandaivelu, Menekhem M. Zviman, et al.. (2008). Feasibility of Real-Time Magnetic Resonance Imaging for Catheter Guidance in Electrophysiology Studies. Circulation. 118(3). 223–229. 127 indexed citations
16.
Xia, Jinsong, Yan Xiang, Melin Vranešić, et al.. (2008). Positron-Emission Tomography Imaging of the Angiotensin II Subtype 1 Receptor in Swine Renal Artery Stenosis. Hypertension. 51(2). 466–473. 19 indexed citations
17.
Levine, Glenn N., Antoinette S. Gomes, Andrew E. Arai, et al.. (2007). Safety of Magnetic Resonance Imaging in Patients With Cardiovascular Devices. Circulation. 116(24). 2878–2891. 301 indexed citations
18.
19.
Dalal, Darshan, Khurram Nasir, Chandra Bomma, et al.. (2005). Arrhythmogenic Right Ventricular Dysplasia. Circulation. 112(25). 3823–3832. 330 indexed citations
20.
Nazarian, Saman, David A. Bluemke, Albert C. Lardo, et al.. (2005). Magnetic Resonance Assessment of the Substrate for Inducible Ventricular Tachycardia in Nonischemic Cardiomyopathy. Circulation. 112(18). 2821–2825. 311 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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