Stuart Moir

1.1k total citations
46 papers, 784 citations indexed

About

Stuart Moir is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Stuart Moir has authored 46 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Cardiology and Cardiovascular Medicine and 11 papers in Biomedical Engineering. Recurrent topics in Stuart Moir's work include Cardiac Imaging and Diagnostics (28 papers), Cardiovascular Function and Risk Factors (14 papers) and Ultrasound and Hyperthermia Applications (11 papers). Stuart Moir is often cited by papers focused on Cardiac Imaging and Diagnostics (28 papers), Cardiovascular Function and Risk Factors (14 papers) and Ultrasound and Hyperthermia Applications (11 papers). Stuart Moir collaborates with scholars based in Australia, United States and United Kingdom. Stuart Moir's co-authors include Thomas H. Marwick, Carly Jenkins, B. Haluska, Jonathan Chan, Dhrubo Rakhit, Brian Haluska, Sahar S. Abdelmoneim, Sharon L. Mulvagh, Patricia A. Pellikka and Abhijeet Dhoble and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Stuart Moir

42 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stuart Moir Australia	15	489	487	216	118	98	46	784
Martijn J. A. Gondrie Netherlands	12	497 1.0×	272 0.6×	221 1.0×	125 1.1×	44 0.4×	18	811
Udo Hoffman United States	10	561 1.1×	371 0.8×	147 0.7×	216 1.8×	21 0.2×	18	790
Édouard Gerbaud France	18	452 0.9×	563 1.2×	135 0.6×	378 3.2×	25 0.3×	66	954
Fabian Plank Austria	15	443 0.9×	373 0.8×	129 0.6×	263 2.2×	12 0.1×	54	685
Marina Dijos France	15	190 0.4×	526 1.1×	45 0.2×	157 1.3×	64 0.7×	34	713
Théo Pezel France	15	452 0.9×	595 1.2×	79 0.4×	119 1.0×	9 0.1×	118	835
B. Hadley Wilson United States	15	142 0.3×	419 0.9×	72 0.3×	192 1.6×	13 0.1×	27	715
Hilton I. Miller Israel	12	177 0.4×	501 1.0×	53 0.2×	298 2.5×	14 0.1×	21	663
Berit Moehring Switzerland	11	457 0.9×	824 1.7×	27 0.1×	251 2.1×	27 0.3×	15	1.0k
Bin Song China	12	287 0.6×	46 0.1×	73 0.3×	82 0.7×	57 0.6×	44	543

Countries citing papers authored by Stuart Moir

Since Specialization

Citations

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

Fields of papers citing papers by Stuart Moir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stuart Moir

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

Nerlekar, Nitesh, et al.. (2024). The mitral to aortic/pulmonary velocity-time integral ratio is a simple, feasible and accurate discriminator for echocardiographic evaluation of severe isolated mitral regurgitation. The International Journal of Cardiovascular Imaging. 40(12). 2459–2467.

Xu, Bo, Paul Cremer, Wael A. Jaber, et al.. (2018). Which test for CAD should be used in patients with left bundle branch block?. Cleveland Clinic Journal of Medicine. 85(3). 224–230.

Xu, Bo, Laura E Dobson, Philip M. Mottram, & Stuart Moir. (2016). IS EXERCISE STRESS ECHOCARDIOGRAPHY USEFUL IN PATIENTS WITH SUSPECTED OBSTRUCTIVE CORONARY ARTERY DISEASE WHO HAVE RESTING LEFT BUNDLE BRANCH BLOCK?. Journal of the American College of Cardiology. 67(13). 1570–1570. 1 indexed citations

Mottram, Philip M., et al.. (2014). Transthoracic Echocardiography Is Still Useful in the Initial Evaluation of Patients With Suspected Infective Endocarditis: Evaluation of a Large Cohort at a Tertiary Referral Center. Mayo Clinic Proceedings. 89(6). 799–805. 23 indexed citations

Nasis, Arthur, Stuart Moir, Ian T. Meredith, et al.. (2014). Abnormal Left Ventricular Contractile Response to Exercise in the Absence of Obstructive Coronary Artery Disease Is Associated with Resting Left Ventricular Long-Axis Dysfunction. Journal of the American Society of Echocardiography. 28(1). 95–105. 5 indexed citations

Jowitt, Paul, et al.. (2012). A protocol for carbon emissions accounting in infrastructure decisions. Proceedings of the Institution of Civil Engineers - Civil Engineering. 165(2). 89–95. 9 indexed citations

Nasis, Arthur, Stuart Moir, Sujith Seneviratne, James D. Cameron, & Philip M. Mottram. (2011). Assessment of left ventricular volumes, ejection fraction and regional wall motion with retrospective electrocardiogram triggered 320-detector computed tomography: a comparison with 2D-echocardiography. International journal of cardiac imaging. 28(4). 955–963. 7 indexed citations

Abdelmoneim, Sahar S., Mathieu Bernier, Abhijeet Dhoble, et al.. (2010). Diagnostic accuracy of contrast echocardiography during adenosine stress for detection of abnormal myocardial perfusion: a prospective comparison with technetium-99 m sestamibi single-photon emission computed tomography. Heart and Vessels. 25(2). 121–130. 16 indexed citations

Abdelmoneim, Sahar S., Mathieu Bernier, Abhijeet Dhoble, et al.. (2010). Assessment of Myocardial Perfusion during Adenosine Stress Using Real Time Three‐Dimensional and Two‐Dimensional Myocardial Contrast Echocardiography: Comparison with Single‐Photon Emission Computed Tomography. Echocardiography. 27(4). 421–429. 14 indexed citations

10.

Abdelmoneim, Sahar S., Abhijeet Dhoble, Maxime Bernier, et al.. (2009). Absolute myocardial blood flow determination using real-time myocardial contrast echocardiography during adenosine stress: comparison with single-photon emission computed tomography. Heart. 95(20). 1662–1668. 20 indexed citations

11.

Abdelmoneim, Sahar S., Mathieu Bernier, Christopher G. Scott, et al.. (2009). Safety of Contrast Agent Use During Stress Echocardiography. JACC. Cardiovascular imaging. 2(9). 1048–1056. 59 indexed citations

12.

Jenkins, Carly, Stuart Moir, Jonathan Chan, et al.. (2008). Left ventricular volume measurement with echocardiography: a comparison of left ventricular opacification, three-dimensional echocardiography, or both with magnetic resonance imaging. European Heart Journal. 30(1). 98–106. 186 indexed citations

13.

Sharman, James E., Stuart Moir, Karam Kostner, Brian Haluska, & Thomas H. Marwick. (2008). Patients with coronary slow flow phenomenon demonstrate normal myocardial blood flow and arterial wave reflection between acute episodes. International Journal of Cardiology. 131(3). 321–325. 4 indexed citations

14.

Moir, Stuart, Leslee J. Shaw, Brian Haluska, Carly Jenkins, & Thomas H. Marwick. (2007). Left ventricular opacification for the diagnosis of coronary artery disease with stress echocardiography: An angiographic study of incremental benefit and cost-effectiveness. American Heart Journal. 154(3). 510–518. 17 indexed citations

15.

Moir, Stuart, et al.. (2006). Relationship between myocardial perfusion and dysfunction in diabetic cardiomyopathy: a study of quantitative contrast echocardiography and strain rate imaging. Heart. 92(10). 1414–1419. 62 indexed citations

16.

Moir, Stuart, Brian Haluska, Carly Jenkins, Duncan McNab, & Thomas H. Marwick. (2005). Comparison of Specificity of Quantitative Myocardial Contrast Echocardiography for Diagnosis of Coronary Artery Disease in Patients With Versus Without Diabetes Mellitus. The American Journal of Cardiology. 96(2). 187–192. 9 indexed citations

17.

Hanekom, L., Stuart Moir, Leanne Jeffriess, Donald Macnab, & Thomas H. Marwick. (2005). Selection of optimal strain rate imaging parameter for the diagnosis of coronary artery disease during dobutamine stress echocardiography: An angiographic comparison. Queensland's institutional digital repository (The University of Queensland). 26. 210–210. 1 indexed citations

18.

Moir, Stuart, Brian Haluska, Carly Jenkins, Robert Fathi, & Thomas H. Marwick. (2004). Myocardial blood flow and red cell velocity are clinically feasible markers for quantitative myocardial contrast stress echocardiography. European Heart Journal. 25. 382–382. 1 indexed citations

19.

Moir, Stuart & Thomas H. Marwick. (2004). Combination of contrast with stress echocardiography: A practical guide to methods and interpretation. Cardiovascular Ultrasound. 2(1). 15–15. 21 indexed citations

20.

Moir, Stuart, Brian Haluska, Dominic Y. Leung, et al.. (2004). Quantitative myocardial contrast echocardiography for prediction of Thrombolysis In Myocardial Infarction flow in acute myocardial infarction. The American Journal of Cardiology. 93(10). 1212–1217. 9 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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