Kevin Levitt

425 total citations
9 papers, 311 citations indexed

About

Kevin Levitt is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Kevin Levitt has authored 9 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Surgery. Recurrent topics in Kevin Levitt's work include Cardiac Imaging and Diagnostics (4 papers), ECG Monitoring and Analysis (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). Kevin Levitt is often cited by papers focused on Cardiac Imaging and Diagnostics (4 papers), ECG Monitoring and Analysis (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). Kevin Levitt collaborates with scholars based in Canada. Kevin Levitt's co-authors include Fina Lovren, Adrian Quan, Mark D. Peterson, Josef Penninger, Mohammed Al‐Omran, Guilin Wang, Peter H. Backx, Yi Pan, Gavin Y. Oudit and Subodh Verma and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Kevin Levitt

7 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Levitt Canada 5 160 90 72 54 51 9 311
Chiara Di Pentima Italy 10 124 0.8× 72 0.8× 59 0.8× 44 0.8× 65 1.3× 26 323
Kensuke Matsushita France 10 145 0.9× 99 1.1× 71 1.0× 44 0.8× 63 1.2× 32 349
Konstantinos Balampanis Greece 7 97 0.6× 105 1.2× 129 1.8× 76 1.4× 58 1.1× 18 367
T. Lancefield Australia 6 190 1.2× 53 0.6× 32 0.4× 31 0.6× 59 1.2× 18 324
David New United Kingdom 11 129 0.8× 61 0.7× 40 0.6× 43 0.8× 35 0.7× 18 426
Malcolm Anastasius United States 9 154 1.0× 43 0.5× 44 0.6× 23 0.4× 77 1.5× 30 270
Haisam Ismail United States 9 275 1.7× 199 2.2× 17 0.2× 55 1.0× 30 0.6× 24 487
Panteleimon Pantelidis Greece 10 104 0.7× 26 0.3× 45 0.6× 32 0.6× 127 2.5× 37 302
Sang-Hee Jung South Korea 11 88 0.6× 61 0.7× 61 0.8× 55 1.0× 63 1.2× 13 326
Federico Capone Italy 8 117 0.7× 67 0.7× 45 0.6× 37 0.7× 18 0.4× 17 235

Countries citing papers authored by Kevin Levitt

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Levitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Levitt

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

All Works

9 of 9 papers shown
1.
Ong, Géraldine, Michael Kuhlmann, Edwin Ho, et al.. (2019). Use of the Valve Visualization on Echocardiography Grade Tool Improves Sensitivity and Negative Predictive Value of Transthoracic Echocardiogram for Exclusion of Native Valvular Vegetation. Journal of the American Society of Echocardiography. 32(12). 1551–1557.e1. 6 indexed citations
2.
Ong, Géraldine, Kim A. Connelly, Jack M. Goodman, et al.. (2017). Echocardiographic Assessment of Young Male Draft-Eligible Elite Hockey Players Invited to the Medical and Fitness Combine by the National Hockey League. The American Journal of Cardiology. 119(12). 2088–2092. 8 indexed citations
3.
Levitt, Kevin, Jeremy Edwards, Chi-Ming Chow, & R. Sacha Bhatia. (2015). Development of an Educational Strategy and Decision Support Tool to Enhance Appropriate Use of Stress Echocardiography at a Large Academic Medical Center: A Prospective, Pre- and Postintervention Analysis. Journal of the American Society of Echocardiography. 28(12). 1401–1409. 14 indexed citations
5.
Levitt, Kevin, et al.. (2014). Vascular Imaging in Diabetes. Current Atherosclerosis Reports. 16(4). 399–399. 3 indexed citations
6.
Levitt, Kevin, Theresa Aves, Paul Dorian, & Arnold Pintér. (2013). Lack of difference in T wave variability between patients at risk of sudden cardiac death and healthy subjects. Journal of Electrocardiology. 47(2). 251–256. 2 indexed citations
7.
Levitt, Kevin, Helen Guo, Harindra C. Wijeysundera, et al.. (2013). Predictors of normal coronary arteries at coronary angiography. American Heart Journal. 166(4). 694–700. 33 indexed citations
8.
Levitt, Kevin, Hongquan Guo, Harindra C. Wijeysundera, et al.. (2012). 757 Predictors of Normal Coronary Arteries at Coronary Angiography. Canadian Journal of Cardiology. 28(5). S390–S390. 1 indexed citations
9.
Lovren, Fina, Yi Pan, Adrian Quan, et al.. (2008). Angiotensin converting enzyme-2 confers endothelial protection and attenuates atherosclerosis. American Journal of Physiology-Heart and Circulatory Physiology. 295(4). H1377–H1384. 244 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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