Michal Jamorski

1.0k total citations
15 papers, 770 citations indexed

About

Michal Jamorski is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michal Jamorski has authored 15 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michal Jamorski's work include Cardiovascular Function and Risk Factors (9 papers), Cardiomyopathy and Myosin Studies (8 papers) and Cardiovascular Effects of Exercise (7 papers). Michal Jamorski is often cited by papers focused on Cardiovascular Function and Risk Factors (9 papers), Cardiomyopathy and Myosin Studies (8 papers) and Cardiovascular Effects of Exercise (7 papers). Michal Jamorski collaborates with scholars based in Canada, United States and Israel. Michal Jamorski's co-authors include Harry Rakowski, Hua Yang, Anna Woo, E.Douglas Wigle, Shemy Carasso, Samuel C. Siu, Mani A. Vannan, Daniel Monakier, George Thanassoulis and Kristian B. Filion and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and Journal of the American Society of Echocardiography.

In The Last Decade

Michal Jamorski

15 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michal Jamorski Canada 12 705 209 134 133 93 15 770
Heleen B. van der Zwaan Netherlands 14 683 1.0× 283 1.4× 260 1.9× 205 1.5× 136 1.5× 24 778
Avrum Jacobs United States 7 294 0.4× 158 0.8× 69 0.5× 106 0.8× 63 0.7× 7 392
Sharon Howell United States 11 289 0.4× 122 0.6× 155 1.2× 73 0.5× 67 0.7× 21 381
Claudia Galli Italy 11 513 0.7× 223 1.1× 203 1.5× 126 0.9× 139 1.5× 20 595
Floris Kauer Netherlands 13 559 0.8× 118 0.6× 93 0.7× 164 1.2× 219 2.4× 27 633
Gary Dobson Canada 7 325 0.5× 267 1.3× 54 0.4× 66 0.5× 79 0.8× 18 412
Axel Rentzsch Germany 10 278 0.4× 102 0.5× 243 1.8× 49 0.4× 104 1.1× 23 418
L Hegrenaes Norway 7 559 0.8× 122 0.6× 126 0.9× 204 1.5× 159 1.7× 7 592
Andreea Călin Romania 13 396 0.6× 88 0.4× 77 0.6× 117 0.9× 92 1.0× 26 438
Sarah Rogal United States 3 213 0.3× 100 0.5× 121 0.9× 59 0.4× 69 0.7× 7 301

Countries citing papers authored by Michal Jamorski

Since Specialization
Citations

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

Fields of papers citing papers by Michal Jamorski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Jamorski

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

All Works

15 of 15 papers shown
1.
Rakowski, Harry, et al.. (2016). Left atrial and ventricular systolic and diastolic myocardial mechanics in patients with end‐stage renal disease. Echocardiography. 33(10). 1495–1503. 18 indexed citations
2.
Moravsky, Gil, Michal Jamorski, Anthony Ralph‐Edwards, et al.. (2013). Myocardial Mechanical Remodeling after Septal Myectomy for Severe Obstructive Hypertrophic Cardiomyopathy. Journal of the American Society of Echocardiography. 26(8). 893–900. 32 indexed citations
3.
Williams, Lynne, José Ángel Urbano-Moral, Ethan J. Rowin, et al.. (2013). Velocity Vector Imaging in the Measurement of Left Ventricular Myocardial Mechanics on Cardiac Magnetic Resonance Imaging: Correlations with Echocardiographically Derived Strain Values. Journal of the American Society of Echocardiography. 26(10). 1153–1162. 28 indexed citations
4.
Tzemos, Nikolaos, Erik Lyseggen, Candice K. Silversides, et al.. (2010). Endothelial Function, Carotid–Femoral Stiffness, and Plasma Matrix Metalloproteinase-2 in Men With Bicuspid Aortic Valve and Dilated Aorta. Journal of the American College of Cardiology. 55(7). 660–668. 86 indexed citations
5.
Carasso, Shemy, Hua Yang, Anna Woo, et al.. (2010). Diastolic Myocardial Mechanics in Hypertrophic Cardiomyopathy. Journal of the American Society of Echocardiography. 23(2). 164–171. 60 indexed citations
6.
Yang, Hua, Shemy Carasso, Anna Woo, et al.. (2010). Hypertrophy Pattern and Regional Myocardial Mechanics Are Related in Septal and Apical Hypertrophic Cardiomyopathy. Journal of the American Society of Echocardiography. 23(10). 1081–1089. 40 indexed citations
7.
Carasso, Shemy, Hua Yang, Anna Woo, et al.. (2008). Systolic Myocardial Mechanics in Hypertrophic Cardiomyopathy: Novel Concepts and Implications for Clinical Status. Journal of the American Society of Echocardiography. 21(6). 675–683. 166 indexed citations
8.
Thanassoulis, George, Kristian B. Filion, Michal Jamorski, et al.. (2008). Retrospective study to identify predictors of the presence and rapid progression of aortic dilatation in patients with bicuspid aortic valves. Nature Clinical Practice Cardiovascular Medicine. 5(12). 821–828. 110 indexed citations
9.
Carasso, Shemy, Anna Woo, Hua Yang, et al.. (2007). Myocardial Mechanics Explains the Time Course of Benefit for Septal Ethanol Ablation for Hypertrophic Cardiomyopathy. Journal of the American Society of Echocardiography. 21(5). 493–499. 36 indexed citations
10.
Siu, Samuel C., et al.. (2006). Prognostic Value of Myocardial Perfusion Contrast Echocardiography in Patients with Suggested or Known Ischemic Heart Disease. Journal of the American Society of Echocardiography. 19(10). 1203–1210. 8 indexed citations
11.
Yang, Hua, Anna Woo, Daniel Monakier, et al.. (2005). Enlarged Left Atrial Volume in Hypertrophic Cardiomyopathy: A Marker for Disease Severity. Journal of the American Society of Echocardiography. 18(10). 1074–1082. 113 indexed citations
12.
Yu, Eric, Danny M. Skyba, Howard Leong‐Poi, et al.. (2004). Incremental value of parametric quantitative assessment of myocardial perfusion by triggered Low-Power myocardial contrast echocardiography. Journal of the American College of Cardiology. 43(10). 1807–1813. 33 indexed citations
13.
14.
Yip, James, Samuel C. Siu, Michal Jamorski, et al.. (2003). Aortic root dilatation and progression in patients with bicuspid aortic valve. Journal of the American College of Cardiology. 41(6). 477–477. 1 indexed citations
15.
Yu, Eric, Danny M. Skyba, Michal Jamorski, et al.. (2003). Determination of left ventricular ejection fraction using intravenous contrast and a semiautomated border detection algorithm. Journal of the American Society of Echocardiography. 16(1). 22–28. 10 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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