Jon Hainer

9.7k total citations · 7 hit papers
101 papers, 5.8k citations indexed

About

Jon Hainer is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Jon Hainer has authored 101 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Cardiology and Cardiovascular Medicine, 59 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Surgery. Recurrent topics in Jon Hainer's work include Cardiac Imaging and Diagnostics (56 papers), Cardiovascular Function and Risk Factors (22 papers) and Acute Myocardial Infarction Research (18 papers). Jon Hainer is often cited by papers focused on Cardiac Imaging and Diagnostics (56 papers), Cardiovascular Function and Risk Factors (22 papers) and Acute Myocardial Infarction Research (18 papers). Jon Hainer collaborates with scholars based in United States, Brazil and Japan. Jon Hainer's co-authors include Marcelo F. Di Carli, Ron Blankstein, Sharmila Dorbala, Venkatesh L. Murthy, Courtney Foster, Masanao Naya, Viviany R. Taqueti, Mariya Gaber, Josh Klein and Michael T. Osborne and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Circulation Research.

In The Last Decade

Jon Hainer

97 papers receiving 5.7k citations

Hit Papers

Improved Cardiac Risk Assessment With Noninvasive Measure... 2011 2026 2016 2021 2011 2013 2014 2017 2012 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
Jon Hainer United States 37 3.5k 3.2k 1.6k 881 687 101 5.8k
W. Gregory Hundley United States 45 2.8k 0.8× 5.0k 1.5× 910 0.6× 775 0.9× 387 0.6× 144 6.8k
Viviany R. Taqueti United States 30 2.3k 0.6× 2.3k 0.7× 1.2k 0.7× 506 0.6× 780 1.1× 78 4.3k
Kirk N. Garratt United States 41 2.0k 0.6× 4.0k 1.2× 3.8k 2.3× 1.6k 1.8× 346 0.5× 171 7.4k
Heidi Gransar United States 47 4.4k 1.3× 3.9k 1.2× 2.6k 1.6× 782 0.9× 197 0.3× 181 6.7k
Juan Sanchís Spain 43 1.7k 0.5× 5.2k 1.6× 1.7k 1.0× 894 1.0× 398 0.6× 414 7.3k
H. Vernon Anderson United States 42 3.0k 0.8× 5.0k 1.5× 3.5k 2.2× 745 0.8× 254 0.4× 153 6.9k
Teruo Noguchi Japan 35 963 0.3× 2.9k 0.9× 1.7k 1.0× 1.1k 1.2× 432 0.6× 298 4.7k
John F. Heitner United States 28 1.4k 0.4× 2.5k 0.8× 642 0.4× 593 0.7× 506 0.7× 88 3.6k
Harvey S. Hecht United States 38 4.1k 1.2× 2.9k 0.9× 2.0k 1.3× 755 0.9× 164 0.2× 129 5.7k
Ami E. Iskandrian United States 47 5.0k 1.4× 4.8k 1.5× 1.7k 1.1× 731 0.8× 157 0.2× 225 7.9k

Countries citing papers authored by Jon Hainer

Since Specialization
Citations

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

Fields of papers citing papers by Jon Hainer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Hainer

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Hainer. A scholar is included among the top collaborators of Jon Hainer 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 Jon Hainer. Jon Hainer 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.
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 →
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.
Huck, Daniel, et al.. (2024). Prognostic value of myocardial flow reserve vs corrected myocardial flow reserve in patients without obstructive coronary artery disease. Journal of Nuclear Cardiology. 37. 101854–101854. 8 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.
Brown, Jenifer M., Mi‐Ae Park, Marie Foley Kijewski, et al.. (2023). Feasibility of Simultaneous Quantification of Myocardial and Renal Perfusion With Cardiac Positron Emission Tomography. Circulation Cardiovascular Imaging. 16(9). e015324–e015324. 3 indexed citations
7.
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
8.
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
9.
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
10.
Berman, Adam N., David Biery, Olivia Hulme, et al.. (2021). Natural language processing for the assessment of cardiovascular disease comorbidities: The cardio‐Canary comorbidity project. Clinical Cardiology. 44(9). 1296–1304. 19 indexed citations
11.
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
12.
DeFilippis, Ersilia M., Bradley Collins, Avinainder Singh, et al.. (2020). Women who experience a myocardial infarction at a young age have worse outcomes compared with men: the Mass General Brigham YOUNG-MI registry. European Heart Journal. 41(42). 4127–4137. 80 indexed citations
13.
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
14.
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
15.
Vita, Tomás, David J. Murphy, Michael T. Osborne, et al.. (2019). Association between Nonalcoholic Fatty Liver Disease at CT and Coronary Microvascular Dysfunction at Myocardial Perfusion PET/CT. Radiology. 291(2). 330–337. 47 indexed citations
16.
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
18.
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
19.
Taqueti, Viviany R., Rory Hachamovitch, Masanao Naya, et al.. (2013). Abstract 15687: Myocardial Coronary Flow Reserve Predicts Adverse Clinical Outcomes Independently of Luminal Angiographic Score. Circulation. 1 indexed citations
20.
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 →

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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