Michael A. Burke

8.1k total citations · 5 hit papers
96 papers, 5.0k citations indexed

About

Michael A. Burke is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Michael A. Burke has authored 96 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cardiology and Cardiovascular Medicine, 26 papers in Molecular Biology and 19 papers in Surgery. Recurrent topics in Michael A. Burke's work include Cardiomyopathy and Myosin Studies (13 papers), Cardiovascular Function and Risk Factors (13 papers) and Cardiac Structural Anomalies and Repair (11 papers). Michael A. Burke is often cited by papers focused on Cardiomyopathy and Myosin Studies (13 papers), Cardiovascular Function and Risk Factors (13 papers) and Cardiac Structural Anomalies and Repair (11 papers). Michael A. Burke collaborates with scholars based in United States, United Kingdom and Canada. Michael A. Burke's co-authors include Sanjiv J. Shah, Daniel H. Katz, Senthil Selvaraj, Martin S. Maron, Lauren L. Evanovich, Perry Elliott, Matthew W. Martinez, Judy Hung, Paul F. Kantor and Carey Kimmelstiel and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

In The Last Decade

Michael A. Burke

88 papers receiving 4.9k citations

Hit Papers

align trajectories sort by overperformance

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.

2020 AHA/ACC Guideline for the Diagnosis and Treatment of Patients With Hypertrophic Cardiomyopathy: Executive Summary

2020 727 citations Steve R. Ommen, Seema Mital et al. Journal of the American College of Cardiology profile →
Phenomapping for Novel Classification of Heart Failure With Preserved Ejection Fraction

2014 709 citations Sanjiv J. Shah, Daniel H. Katz et al. Circulation profile →
2020 AHA/ACC Guideline for the Diagnosis and Treatment of Patients With Hypertrophic Cardiomyopathy

2020 408 citations Steve R. Ommen, Seema Mital et al. Journal of the American College of Cardiology profile →
2020 AHA/ACC Guideline for the Diagnosis and Treatment of Patients With Hypertrophic Cardiomyopathy

2020 376 citations Steve R. Ommen, Seema Mital et al. Circulation profile →
2020 AHA/ACC Guideline for the Diagnosis and Treatment of Patients With Hypertrophic Cardiomyopathy: Executive Summary

2020 201 citations Steve R. Ommen, Seema Mital et al. Circulation profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michael A. Burke	3.3k	872	598	542	475	96	5.0k
Federico Ambrogi	2.1k 0.6×	582 0.7×	648 1.1×	311 0.6×	506 1.1×	167	4.8k
Chao‐Hung Wang	2.1k 0.6×	1.4k 1.6×	1.0k 1.7×	1.6k 3.0×	487 1.0×	153	5.8k
Jianwen Wang	1.1k 0.3×	474 0.5×	323 0.5×	331 0.6×	394 0.8×	164	3.4k
Eric H. Yang	2.3k 0.7×	370 0.4×	785 1.3×	327 0.6×	511 1.1×	212	4.3k
Yong‐Jin Kim	1.8k 0.5×	358 0.4×	773 1.3×	372 0.7×	514 1.1×	230	3.2k
Seil Oh	4.3k 1.3×	368 0.4×	706 1.2×	895 1.7×	306 0.6×	307	6.1k
Kenneth McDonald	5.0k 1.5×	1.2k 1.4×	1.1k 1.8×	737 1.4×	692 1.5×	222	7.8k
Giovanni Ferrari	1.6k 0.5×	779 0.9×	1.3k 2.2×	928 1.7×	1.5k 3.2×	170	4.7k
Eun‐Seok Jeon	2.4k 0.7×	909 1.0×	1.1k 1.9×	380 0.7×	585 1.2×	233	4.7k
Nan Zhang	960 0.3×	485 0.6×	1.1k 1.9×	306 0.6×	734 1.5×	281	4.9k

Countries citing papers authored by Michael A. Burke

Since Specialization

Citations

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

Fields of papers citing papers by Michael A. Burke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael A. Burke

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

Chandrasekhar, Sanjay, et al.. (2025). A RARE CASE OF EBSTEIN-BARR NEGATIVE POST-TRANSPLANT LYMPHOPROLIFERATIVE DISEASE. Journal of the American College of Cardiology. 85(12). 3804–3804.

Newman, Noah & Michael A. Burke. (2024). Dilated Cardiomyopathy: A Genetic Journey from Past to Future. International Journal of Molecular Sciences. 25(21). 11460–11460. 4 indexed citations

Iravanian, Shahriar, Ilija Uzelac, Anand Shah, et al.. (2023). Complex repolarization dynamics in ex vivo human ventricles are independent of the restitution properties. EP Europace. 25(12).

Steinberg, Rebecca, Aditi Nayak, Michael A. Burke, et al.. (2021). Association of race and gender with primary caregiver relationships and eligibility for advanced heart failure therapies. Clinical Transplantation. 36(1). e14502–e14502. 14 indexed citations

Agrawal, Akanksha, Tamás Alexy, Norihiko Kamioka, et al.. (2021). Outflow Graft Obstruction After Left Ventricular Assist Device Implantation: A Retrospective, Single-Centre Case Series. ESC Heart Failure. 8(3). 2349–2353. 21 indexed citations

Aziz, Moez Karim, et al.. (2020). Wells Score to Predict Pulmonary Embolism in Patients with Coronavirus Disease 2019. The American Journal of Medicine. 134(5). 688–690. 30 indexed citations

Ommen, Steve R., Seema Mital, Michael A. Burke, et al.. (2020). 2020 AHA/ACC Guideline for the Diagnosis and Treatment of Patients With Hypertrophic Cardiomyopathy. Journal of the American College of Cardiology. 76(25). e159–e240. 408 indexed citations breakdown →

Steinberg, Rebecca, Aditi Nayak, Robert T. Cole, et al.. (2019). SEX DIFFERENCES IN ELIGIBILITY FOR ADVANCED HEART FAILURE THERAPIES. Journal of the American College of Cardiology. 73(9). 933–933.

Kamioka, Norihiko, Ateet Patel, Michael A. Burke, Adam B. Greenbaum, & Vasilis Babaliaros. (2017). Biventricular Impella placement via complete venous access. Catheterization and Cardiovascular Interventions. 93(6). E343–E345. 14 indexed citations

10.

Rines, Amy K., Hsiang‐Chun Chang, Rongxue Wu, et al.. (2017). Snf1-related kinase improves cardiac mitochondrial efficiency and decreases mitochondrial uncoupling. Nature Communications. 8(1). 14095–14095. 20 indexed citations

11.

Shah, Sanjiv J., Daniel H. Katz, Senthil Selvaraj, et al.. (2014). Phenomapping for Novel Classification of Heart Failure With Preserved Ejection Fraction. Circulation. 131(3). 269–279. 709 indexed citations breakdown →

12.

Aðalsteinsdóttir, Berglind, Polakit Teekakirikul, Barry J. Maron, et al.. (2014). UNEXPECTED IDENTIFICATION OF FABRY DISEASE AMONG PATIENTS WITH THE CLINICAL DIAGNOSIS OF HYPERTROPHIC CARDIOMYOPATHY IN ICELAND. Journal of the American College of Cardiology. 63(12). A822–A822. 1 indexed citations

13.

Ardehali, Hossein, Hani N. Sabbah, Michael A. Burke, et al.. (2012). Targeting Myocardial Substrate Metabolism in Heart Failure: Potential for New Therapies. European Journal of Heart Failure. 14(2). 120–129. 126 indexed citations

14.

Anjan, Venkatesh Y., Timothy M. Loftus, Michael A. Burke, et al.. (2012). Prevalence, Clinical Phenotype, and Outcomes Associated With Normal B-Type Natriuretic Peptide Levels in Heart Failure With Preserved Ejection Fraction. The American Journal of Cardiology. 110(6). 870–876. 201 indexed citations

15.

Gordon, Leo I., Michael A. Burke, Amareshwar T.K. Singh, et al.. (2008). Blockade of the erbB2 Receptor Induces Cardiomyocyte Death through Mitochondrial and Reactive Oxygen Species-dependent Pathways. Journal of Biological Chemistry. 284(4). 2080–2087. 146 indexed citations

16.

Burke, Michael A., et al.. (2001). Biopsy diagnosis of disease recurrence after transplantation (TX) for pulmonary sarcoidosis: a multicentre study. The Journal of Heart and Lung Transplantation. 20(2). 154–155. 1 indexed citations

17.

Marcus, Neil, A. Khaghani, Michael A. Burke, M. H. Yacoub, & Nicholas R. Banner. (1998). Medium-Term Outcome of Tacrolimus Immunosuppression Following Rejection or Graft Dysfunction in Heart Transplant Patients. Transplantation Proceedings. 30(4). 1134–1135. 5 indexed citations

18.

Ansermino, J. Mark, Michael A. Burke, Penney Upton, Janet McVittie, & C. E. BLOGG. (1993). Suxamethonium‐induced muscle pains are not related to cholinesterase activity. Anaesthesia. 48(12). 1097–1100. 1 indexed citations

19.

Simpson, W A, et al.. (1988). Paget's disease, melanocytic neoplasia and hidradenoma papilliferum of the vulva. Histopathology. 12(6). 675–679. 11 indexed citations

20.

Burke, Michael A.. (1980). Perceived Needs of Elementary Science Teachers.. Science and Children. 17(5). 15–17. 2 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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