Sanjay Divakaran

2.5k total citations · 1 hit paper
78 papers, 1.2k citations indexed

About

Sanjay Divakaran is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Sanjay Divakaran has authored 78 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cardiology and Cardiovascular Medicine, 28 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Surgery. Recurrent topics in Sanjay Divakaran's work include Cardiac Imaging and Diagnostics (24 papers), Cardiovascular Function and Risk Factors (15 papers) and Acute Myocardial Infarction Research (10 papers). Sanjay Divakaran is often cited by papers focused on Cardiac Imaging and Diagnostics (24 papers), Cardiovascular Function and Risk Factors (15 papers) and Acute Myocardial Infarction Research (10 papers). Sanjay Divakaran collaborates with scholars based in United States, Brazil and China. Sanjay Divakaran's co-authors include Joseph Loscalzo, Ron Blankstein, Marcelo F. Di Carli, Jon Hainer, Khurram Nasir, Avinainder Singh, Deepak L. Bhatt, David Biery, Sharmila Dorbala and Ersilia M. DeFilippis and has published in prestigious journals such as Nature, New England Journal of Medicine and Circulation.

In The Last Decade

Sanjay Divakaran

69 papers receiving 1.2k citations

Hit 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.

Skeletal muscle adiposity, coronary microvascular dysfunction, and adverse cardiovascular outcomes

2025 14 citations Borek Foldyna, Filipe A. Moura et al. European Heart Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sanjay Divakaran United States	21	602	322	289	162	156	78	1.2k
Marco Vugman Wainstein Brazil	15	514 0.9×	222 0.7×	342 1.2×	117 0.7×	185 1.2×	59	1.1k
Niti R. Aggarwal United States	18	742 1.2×	150 0.5×	302 1.0×	165 1.0×	162 1.0×	62	1.3k
Christos S. Katsouras Greece	21	633 1.1×	231 0.7×	492 1.7×	297 1.8×	118 0.8×	111	1.5k
Galen Cook‐Wiens United States	20	538 0.9×	405 1.3×	393 1.4×	91 0.6×	85 0.5×	88	1.4k
Yong He China	19	632 1.0×	384 1.2×	461 1.6×	177 1.1×	100 0.6×	82	1.4k
Alice Bonomi Italy	22	710 1.2×	171 0.5×	248 0.9×	261 1.6×	80 0.5×	117	1.5k
Dilek Ural Türkiye	21	898 1.5×	211 0.7×	275 1.0×	249 1.5×	93 0.6×	146	1.6k
Stergios Tzikas Greece	17	812 1.3×	310 1.0×	248 0.9×	84 0.5×	97 0.6×	57	1.3k
Ever Grech United Kingdom	19	813 1.4×	322 1.0×	481 1.7×	93 0.6×	85 0.5×	52	1.2k
Gian Marco Rosa Italy	17	428 0.7×	122 0.4×	211 0.7×	84 0.5×	73 0.5×	59	933

Countries citing papers authored by Sanjay Divakaran

Since Specialization

Citations

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

Fields of papers citing papers by Sanjay Divakaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Divakaran

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Divakaran. A scholar is included among the top collaborators of Sanjay Divakaran 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 Sanjay Divakaran. Sanjay Divakaran 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

Biery, David, Adam N. Berman, Stephanie A. Besser, et al.. (2025). Association between lipoprotein(a) and cardiovascular events in patients with peripheral artery disease: the Mass General Brigham Lp(a) registry. European Journal of Preventive Cardiology.

López, Diana, Daniel Huck, Sanjay Divakaran, et al.. (2025). Utility of ¹⁸ F-Flurpiridaz PET Relative Flow Reserve in Differentiating Obstructive From Nonobstructive Coronary Artery Disease. Circulation Cardiovascular Imaging. 18(11). e018323–e018323.

Foldyna, Borek, Filipe A. Moura, Jon Hainer, et al.. (2025). Skeletal muscle adiposity, coronary microvascular dysfunction, and adverse cardiovascular outcomes. European Heart Journal. 46(12). 1112–1123. 14 indexed citations breakdown →

Hankinson, S. E., et al.. (2025). Prevalence of lateral wall myocardial fluorodeoxyglucose uptake in patients with left bundle branch block or ventricular pacing referred for sarcoidosis fluorodeoxyglucose positron emission tomography/computed tomography imaging. Journal of Nuclear Cardiology. 57. 102581–102581.

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

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

Biery, David, Jenifer M. Brown, Sanjay Divakaran, et al.. (2024). Association between abnormal retinal perfusion indices by optical coherence tomography angiography and myocardial flow reserve by positron emission tomography/computed tomography. Journal of Nuclear Cardiology. 36. 101852–101852. 3 indexed citations

Huck, Daniel, Brittany Weber, Jon Hainer, et al.. (2024). Comparative Effectiveness of PET and SPECT MPI for Predicting Cardiovascular Events After Kidney Transplant. Circulation Cardiovascular Imaging. 17(1). e015858–e015858. 2 indexed citations

Shiyovich, Arthur, Adam N. Berman, Stephanie A. Besser, et al.. (2024). Association of Lipoprotein (a) and Standard Modifiable Cardiovascular Risk Factors With Incident Myocardial Infarction: The Mass General Brigham Lp(a) Registry. Journal of the American Heart Association. 13(10). e034493–e034493. 9 indexed citations

10.

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

11.

Chory, Emma J., Meng Wang, Michele Ceribelli, et al.. (2023). High-throughput approaches to uncover synergistic drug combinations in leukemia. SLAS DISCOVERY. 28(4). 193–201. 4 indexed citations

12.

Weber, Brittany, Daniel Huck, Andy Kim, et al.. (2022). Prior SARS‐CoV‐2 Infection Is Associated With Coronary Vasomotor Dysfunction as Assessed by Coronary Flow Reserve From Cardiac Positron Emission Tomography. Journal of the American Heart Association. 11(20). e025844–e025844. 8 indexed citations

13.

Weber, Brittany, David Biery, Avinainder Singh, et al.. (2021). Association of inflammatory disease and long-term outcomes among young adults with myocardial infarction: the Mass General Brigham YOUNG-MI Registry. European Journal of Preventive Cardiology. 29(2). 352–359. 17 indexed citations

14.

Murphy, Laura, Garrick C. Stewart, Akshay S. Desai, et al.. (2021). Cardiac Sarcoidosis: When and How to Treat Inflammation. Cardiac failure review. 7. e17–e17. 24 indexed citations

15.

Weber, Brittany, Emma Stevens, Camden Bay, et al.. (2021). Coronary Microvascular Dysfunction in Systemic Lupus Erythematosus. Journal of the American Heart Association. 10(13). e018555–e018555. 32 indexed citations

16.

Brown, Jenifer M., Brittany Weber, Sanjay Divakaran, et al.. (2021). Low coronary flow relative to myocardial mass predicts heart failure in symptomatic hypertensive patients with no obstructive coronary artery disease. European Heart Journal. 43(35). 3323–3331. 20 indexed citations

17.

Zhou, Wunan, Jenifer M. Brown, Navkaranbir S. Bajaj, et al.. (2020). Hypertensive coronary microvascular dysfunction: a subclinical marker of end organ damage and heart failure. European Heart Journal. 41(25). 2366–2375. 43 indexed citations

18.

Berman, Adam N., David Biery, Olivia Hulme, et al.. (2020). Study of lipoprotein(a) and its impact on atherosclerotic cardiovascular disease: Design and rationale of the Mass General Brigham Lp(a) Registry. Clinical Cardiology. 43(11). 1209–1215. 13 indexed citations

19.

Yang, Junjie, David Biery, Avinainder Singh, et al.. (2019). Risk Factors and Outcomes of Very Young Adults Who Experience Myocardial Infarction: The Partners YOUNG-MI Registry. The American Journal of Medicine. 133(5). 605–612.e1. 87 indexed citations

20.

Singh, Avinainder, Bradley Collins, Arman Qamar, et al.. (2017). Study of young patients with myocardial infarction: Design and rationale of the YOUNG‐MI Registry. Clinical Cardiology. 40(11). 955–961. 35 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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