Ron Blankstein

40.1k total citations · 15 hit papers
530 papers, 21.5k citations indexed

About

Ron Blankstein is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Ron Blankstein has authored 530 papers receiving a total of 21.5k indexed citations (citations by other indexed papers that have themselves been cited), including 293 papers in Radiology, Nuclear Medicine and Imaging, 291 papers in Cardiology and Cardiovascular Medicine and 139 papers in Surgery. Recurrent topics in Ron Blankstein's work include Cardiac Imaging and Diagnostics (284 papers), Acute Myocardial Infarction Research (80 papers) and Advanced MRI Techniques and Applications (72 papers). Ron Blankstein is often cited by papers focused on Cardiac Imaging and Diagnostics (284 papers), Acute Myocardial Infarction Research (80 papers) and Advanced MRI Techniques and Applications (72 papers). Ron Blankstein collaborates with scholars based in United States, Brazil and Canada. Ron Blankstein's co-authors include Marcelo F. Di Carli, Khurram Nasir, Michael J. Blaha, Sharmila Dorbala, Venkatesh L. Murthy, Jon Hainer, Matthew J. Budoff, Roger S. Blumenthal, Viviany R. Taqueti and Raymond Y. Kwong and has published in prestigious journals such as New England Journal of Medicine, The Lancet and JAMA.

In The Last Decade

Ron Blankstein

504 papers receiving 21.1k citations

Hit Papers

Improved Cardiac Risk Assessment With Noninvasive Measure... 2009 2026 2014 2020 2011 2009 2019 2013 2014 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ron Blankstein United States 78 10.8k 10.4k 5.9k 2.9k 2.8k 530 21.5k
J. Jeffrey Carr United States 72 11.0k 1.0× 8.1k 0.8× 5.3k 0.9× 2.4k 0.8× 3.5k 1.2× 473 25.0k
Udo Hoffmann United States 87 14.0k 1.3× 16.4k 1.6× 8.8k 1.5× 5.5k 1.9× 4.1k 1.4× 555 31.3k
Paolo Raggi United States 79 8.7k 0.8× 7.8k 0.7× 5.9k 1.0× 2.0k 0.7× 3.8k 1.3× 359 25.0k
Ernst Rietzschel Belgium 46 19.8k 1.8× 5.5k 0.5× 4.4k 0.7× 1.3k 0.4× 4.2k 1.5× 125 25.4k
Manesh R. Patel United States 79 22.4k 2.1× 8.9k 0.9× 9.4k 1.6× 2.0k 0.7× 3.2k 1.1× 545 30.9k
Raymond J. Gibbons United States 73 22.6k 2.1× 12.3k 1.2× 9.3k 1.6× 2.6k 0.9× 2.5k 0.9× 343 33.9k
David O. Hodge United States 79 12.9k 1.2× 9.0k 0.9× 4.2k 0.7× 1.1k 0.4× 2.1k 0.7× 640 27.2k
William S. Weintraub United States 88 21.2k 2.0× 8.2k 0.8× 14.0k 2.4× 1.9k 0.6× 3.5k 1.2× 539 31.5k
Debabrata Mukherjee United States 61 21.0k 1.9× 6.6k 0.6× 11.6k 2.0× 1.3k 0.5× 3.5k 1.2× 466 29.8k
George Sopko United States 74 13.6k 1.3× 5.5k 0.5× 7.2k 1.2× 1.6k 0.5× 1.8k 0.6× 266 20.4k

Countries citing papers authored by Ron Blankstein

Since Specialization
Citations

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

Fields of papers citing papers by Ron Blankstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ron Blankstein. 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 Ron Blankstein. The network helps show where Ron Blankstein may publish in the future.

Co-authorship network of co-authors of Ron Blankstein

This figure shows the co-authorship network connecting the top 25 collaborators of Ron Blankstein. A scholar is included among the top collaborators of Ron Blankstein 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 Ron Blankstein. Ron Blankstein 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.
Filtz, Annalisa, Kajetan Grodecki, Matthew J. Miller, et al.. (2025). Novel CT-derived markers for enhanced long-term risk stratification in the planning of TAVR for aortic stenosis. Journal of cardiovascular computed tomography. 19(5). 502–511. 1 indexed citations
2.
Huck, Daniel, Sanjay Divakaran, Brittany Weber, et al.. (2024). Comparative effectiveness of positron emission tomography and single-photon emission computed tomography myocardial perfusion imaging for predicting risk in patients with cardiometabolic disease. Journal of Nuclear Cardiology. 40. 101908–101908. 3 indexed citations
3.
Divakaran, Sanjay, Brittany Weber, Jon Hainer, et al.. (2024). Relationship of Subendocardial Perfusion to Myocardial Injury, Cardiac Structure, and Clinical Outcomes Among Patients With Hypertension. Circulation. 150(14). 1075–1086. 5 indexed citations
4.
Klingel, Karin, Christoph Gräni, Ron Blankstein, et al.. (2024). Multiparametric Cardiac Magnetic Resonance Imaging to Discriminate Endomyocardial Biopsy-Proven Chronic Myocarditis From Healed Myocarditis. JACC. Cardiovascular imaging. 17(10). 1182–1195. 4 indexed citations
5.
Rosenthal, Michael H., Filipe A. Moura, Sanjay Divakaran, et al.. (2023). Body Composition, Coronary Microvascular Dysfunction, and Future Risk of Cardiovascular Events Including Heart Failure. JACC. Cardiovascular imaging. 17(2). 179–191. 28 indexed citations
6.
Ge, Yin, Panagiotis Antiochos, Ayako Seno, et al.. (2023). Diagnostic Impact and Prognostic Value of Cardiac Magnetic Resonance in Patients With Ventricular Arrhythmias. JACC. Cardiovascular imaging. 16(12). 1536–1549. 2 indexed citations
7.
Mortensen, Martin Bødtker, Omar Dzaye, Hans Erik Bøtker, et al.. (2023). Low-Density Lipoprotein Cholesterol Is Predominantly Associated With Atherosclerotic Cardiovascular Disease Events in Patients With Evidence of Coronary Atherosclerosis: The Western Denmark Heart Registry. Circulation. 147(14). 1053–1063. 75 indexed citations breakdown →
8.
Souza, Ana Carolina, Hendrik J. Harms, Courtney Bibbo, et al.. (2022). Accuracy and Reproducibility of Myocardial Blood Flow Quantification by Single Photon Emission Computed Tomography Imaging in Patients With Known or Suspected Coronary Artery Disease. Circulation Cardiovascular Imaging. 15(6). e013987–e013987. 20 indexed citations
9.
Mahajan, Shiwani, Gowtham R. Grandhi, Javier Valero‐Elizondo, et al.. (2021). Scope and Social Determinants of Food Insecurity Among Adults With Atherosclerotic Cardiovascular Disease in the United States. Journal of the American Heart Association. 10(16). e020028–e020028. 15 indexed citations
10.
Cardoso, Rhanderson, Giuliano Generoso, Murilo Foppa, et al.. (2020). Predictors of coronary artery calcium incidence and progression: The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Atherosclerosis. 309. 8–15. 17 indexed citations
11.
Arora, Sameer, George A. Stouffer, Anna Kucharska‐Newton, et al.. (2019). Twenty Year Trends and Sex Differences in Young Adults Hospitalized With Acute Myocardial Infarction. Circulation. 139(8). 1047–1056. 452 indexed citations breakdown →
12.
Hulten, Edward, Márcio Sommer Bittencourt, Avinainder Singh, et al.. (2017). Obesity, metabolic syndrome and cardiovascular prognosis: from the Partners coronary computed tomography angiography registry. Cardiovascular Diabetology. 16(1). 14–14. 26 indexed citations
13.
Taqueti, Viviany R., Leslee J. Shaw, Nancy R. Cook, et al.. (2016). Excess Cardiovascular Risk in Women Relative to Men Referred for Coronary Angiography Is Associated With Severely Impaired Coronary Flow Reserve, Not Obstructive Disease. Circulation. 135(6). 566–577. 184 indexed citations
14.
Bittencourt, Márcio Sommer, Edward Hulten, Venkatesh L. Murthy, et al.. (2016). Clinical Outcomes After Evaluation of Stable Chest Pain by Coronary Computed Tomographic Angiography Versus Usual Care. Circulation Cardiovascular Imaging. 9(4). e004419–e004419. 86 indexed citations
15.
Bittencourt, Márcio Sommer, Edward Hulten, Brian Ghoshhajra, et al.. (2014). Prognostic Value of Nonobstructive and Obstructive Coronary Artery Disease Detected by Coronary Computed Tomography Angiography to Identify Cardiovascular Events. Circulation Cardiovascular Imaging. 7(2). 282–291. 260 indexed citations
16.
Martin, Seth S., Michael J. Blaha, Ron Blankstein, et al.. (2013). Dyslipidemia, Coronary Artery Calcium, and Incident Atherosclerotic Cardiovascular Disease. Circulation. 129(1). 77–86. 171 indexed citations
17.
Heydari, Bobak, Otávio R. Coelho‐Filho, Venkatesh L. Murthy, et al.. (2013). Stress Cardiac Magnetic Resonance Imaging Provides Effective Cardiac Risk Reclassification in Patients With Known or Suspected Stable Coronary Artery Disease. Circulation. 128(6). 605–614. 49 indexed citations
18.
Murthy, Venkatesh L., Masanao Naya, Courtney Foster, et al.. (2012). Association Between Coronary Vascular Dysfunction and Cardiac Mortality in Patients With and Without Diabetes Mellitus. Circulation. 126(15). 1858–1868. 360 indexed citations breakdown →
19.
Tota-Maharaj, Rajesh, Michael J. Blaha, Ron Blankstein, et al.. (2011). Abstract 9868: Coronary Artery Calcium Predicts Coronary Heart Disease Events Even at the Extremes of Age: The Multi-Ethnic Study of Atherosclerosis. Circulation. 124(suppl_21). 2 indexed citations
20.
Feuchtner, Gudrun, Hatem Alkadhi, Christoph Karlo, et al.. (2010). Cardiac CT Angiography for the Diagnosis of Mitral Valve Prolapse: Comparison with Echocardiography. Radiology. 254(2). 374–383. 61 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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