Sean W. Hayes

16.9k total citations · 1 hit paper
198 papers, 9.9k citations indexed

About

Sean W. Hayes is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Sean W. Hayes has authored 198 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Radiology, Nuclear Medicine and Imaging, 79 papers in Cardiology and Cardiovascular Medicine and 59 papers in Biomedical Engineering. Recurrent topics in Sean W. Hayes's work include Cardiac Imaging and Diagnostics (164 papers), Advanced MRI Techniques and Applications (76 papers) and Advanced X-ray and CT Imaging (54 papers). Sean W. Hayes is often cited by papers focused on Cardiac Imaging and Diagnostics (164 papers), Advanced MRI Techniques and Applications (76 papers) and Advanced X-ray and CT Imaging (54 papers). Sean W. Hayes collaborates with scholars based in United States, Canada and Germany. Sean W. Hayes's co-authors include Daniel S. Berman, John D. Friedman, Rory Hachamovitch, Ishac Cohen, Guido Germano, Piotr J. Slomka, Louise Thomson, Heidi Gransar, Alan Rozanski and Leslee J. Shaw and has published in prestigious journals such as New England Journal of Medicine, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Sean W. Hayes

190 papers receiving 9.7k citations

Hit Papers

1 papers align trajectories

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.

Comparison of the Short-Term Survival Benefit Associated With Revascularization Compared With Medical Therapy in Patients With No Prior Coronary Artery Disease Undergoing Stress Myocardial Perfusion Single Photon Emission Computed Tomography

2003 979 citations Rory Hachamovitch, Sean W. Hayes et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sean W. Hayes United States	57	8.0k	4.6k	2.8k	2.7k	755	198	9.9k
Rory Hachamovitch United States	63	11.0k 1.4×	7.4k 1.6×	3.9k 1.4×	4.2k 1.6×	1.2k 1.6×	202	15.2k
Ami E. Iskandrian United States	47	5.0k 0.6×	4.8k 1.0×	1.1k 0.4×	1.7k 0.6×	731 1.0×	225	7.9k
Roxy Senior United Kingdom	51	4.4k 0.5×	6.1k 1.3×	1.6k 0.6×	1.7k 0.6×	787 1.0×	310	8.7k
Heidi Gransar United States	47	4.4k 0.5×	3.9k 0.8×	1.4k 0.5×	2.6k 1.0×	782 1.0×	181	6.7k
Tracy Q. Callister United States	38	6.7k 0.8×	4.3k 0.9×	2.0k 0.7×	2.9k 1.1×	1.3k 1.7×	70	8.9k
Morton J. Kern United States	55	6.2k 0.8×	7.9k 1.7×	1.8k 0.7×	7.0k 2.6×	1.8k 2.3×	374	11.7k
Gary V. Heller United States	42	5.9k 0.7×	3.6k 0.8×	1.5k 0.5×	1.3k 0.5×	293 0.4×	195	7.3k
Harvey S. Hecht United States	38	4.1k 0.5×	2.9k 0.6×	1.2k 0.4×	2.0k 0.8×	755 1.0×	129	5.7k
Andreas Knez Germany	48	7.0k 0.9×	2.3k 0.5×	3.8k 1.3×	2.7k 1.0×	1.0k 1.4×	112	8.5k
Warren R. Janowitz United States	15	4.8k 0.6×	3.4k 0.7×	1.5k 0.5×	2.0k 0.8×	1.3k 1.7×	41	7.5k

Countries citing papers authored by Sean W. Hayes

Since Specialization

Citations

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

Fields of papers citing papers by Sean W. Hayes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean W. Hayes. 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 Sean W. Hayes. The network helps show where Sean W. Hayes may publish in the future.

Co-authorship network of co-authors of Sean W. Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of Sean W. Hayes. A scholar is included among the top collaborators of Sean W. Hayes 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 Sean W. Hayes. Sean W. Hayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lee, Su Nam, Pankaj Malhotra, Robert J.H. Miller, et al.. (2025). Independent prognostic significance of myocardial flow reserve over coronary artery calcium, myocardial perfusion, and clinical variables in patients without known coronary artery disease, according to diabetes status. Journal of Nuclear Cardiology. 47. 102165–102165.

Cho, Sung Woo, Su Nam Lee, Heidi Gransar, et al.. (2025). Prognostic value of plaque burden assessed by coronary CT angiography in known coronary artery disease. Journal of cardiovascular computed tomography. 19(4). 409–415. 1 indexed citations

Tzolos, Evangelos, Heidi Gransar, Mark Hyun, et al.. (2025). Effects of Evolocumab on Coronary Plaque Composition and Microcalcification Activity by Coronary PET and CT Angiography. JACC. Cardiovascular imaging. 18(5). 589–599. 2 indexed citations

Han, Donghee, Evangelos Tzolos, Heidi Gransar, et al.. (2024). EFFECTS OF EVOLOCUMAB ON CORONARY ATHEROSCLEROTIC PLAQUE COMPOSITION AND MICROCALCIFICATION ACTIVITY BY CORONARY PET-CT ANGIOGRAPHY: RESULTS OF THE PROSPECTIVE EVOLVE STUDY. Journal of the American College of Cardiology. 83(13). 1396–1396.

Han, Donghee, Keiichiro Kuronuma, Heidi Gransar, et al.. (2024). Self-reported exercise activity influences the relationship between coronary computed tomography angiographic finding and mortality. Journal of cardiovascular computed tomography. 18(4). 327–333. 2 indexed citations

Kuronuma, Keiichiro, Robert J.H. Miller, Ananya Singh, et al.. (2024). Downward myocardial creep during stress PET imaging is inversely associated with mortality. European Journal of Nuclear Medicine and Molecular Imaging. 51(6). 1622–1631. 1 indexed citations

Rozanski, Alan, Robert J.H. Miller, Heidi Gransar, et al.. (2022). Benefit of Early Revascularization Based on Inducible Ischemia and Left Ventricular Ejection Fraction. Journal of the American College of Cardiology. 80(3). 202–215. 16 indexed citations

Tzolos, Evangelos, Donghee Han, John D. Friedman, et al.. (2021). Detection of small coronary calcifications in patients with Agatston coronary artery calcium score of zero. Journal of cardiovascular computed tomography. 16(2). 150–154. 5 indexed citations

Otaki, Yuka, Donghee Han, Heidi Gransar, et al.. (2021). Value of semiquantitative assessment of high-risk plaque features on coronary CT angiography over stenosis in selection of studies for FFRct. Journal of cardiovascular computed tomography. 16(1). 27–33. 7 indexed citations

10.

Hayes, Sean W., et al.. (2018). What have the changes made to primary and secondary assessment frameworks since 2014 done to the 'London effect' in school performance?. London Review of Education. 16(3).

11.

Azarbal, Babak, et al.. (2013). RELATIONSHIP BETWEEN DIABETES MELLITUS AND CHRONOTROPIC INCOMPETENCE IN PREDICTION OF ALL-CAUSE MORTALITY. Journal of the American College of Cardiology. 61(10). E1115–E1115. 1 indexed citations

12.

Nakazato, Ryo, Damini Dey, Victor Cheng, et al.. (2012). Epicardial fat volume and concurrent presence of both myocardial ischemia and obstructive coronary artery disease. Atherosclerosis. 221(2). 422–426. 60 indexed citations

13.

Nakazato, Ryo, Balaji Tamarappoo, Xingping Kang, et al.. (2010). Abstract 14952: Automated Quantitative PET/CT Myocardial Perfusion Imaging: Normal Limits and Correlation with Invasive Coronary Angiography. Circulation. 122. 1 indexed citations

14.

Tamarappoo, Balaji, Damini Dey, Ryo Nakazato, et al.. (2010). Comparison of the Extent and Severity of Myocardial Perfusion Defects Measured by CT Coronary Angiography and SPECT Myocardial Perfusion Imaging. JACC. Cardiovascular imaging. 3(10). 1010–1019. 53 indexed citations

15.

Wong, Nathan D., Heidi Gransar, Jagat Narula, et al.. (2009). Myeloperoxidase, Subclinical Atherosclerosis, and Cardiovascular Disease Events. JACC. Cardiovascular imaging. 2(9). 1093–1099. 47 indexed citations

16.

Slomka, Piotr J., Ludovic Le Meunier, Sean W. Hayes, et al.. (2008). Comparison of Myocardial Perfusion ⁸²Rb PET Performed with CT- and Transmission CT–Based Attenuation Correction. Journal of Nuclear Medicine. 49(12). 1992–1998. 32 indexed citations

17.

Berman, Daniel S., Rory Hachamovitch, Leslee J. Shaw, et al.. (2006). Roles of nuclear cardiology, cardiac computed tomography, and cardiac magnetic resonance: Noninvasive risk stratification and a conceptual framework for the selection of noninvasive imaging tests in patients with known or suspected coronary artery disease.. PubMed. 47(7). 1107–18. 84 indexed citations

18.

Berman, Daniel S., Xingping Kang, Sean W. Hayes, et al.. (2003). Adenosine myocardial perfusion single-photon emission computed tomography in women compared with men. Journal of the American College of Cardiology. 41(7). 1125–1133. 204 indexed citations

19.

Hachamovitch, Rory, Sean W. Hayes, John D. Friedman, et al.. (2003). Is there a referral bias againstcatheterization of patients withreduced left ventricular ejection fraction?. Journal of the American College of Cardiology. 42(7). 1286–1294. 21 indexed citations

20.

Berman, Daniel S., Enrique F. Schisterman, Romalisa Miranda, et al.. (2001). Nuclear cardiology and electron-beam computed tomography: competitive or complementary?. The American Journal of Cardiology. 88(2). 51–55. 7 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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