J. Suttie

1.1k total citations
35 papers, 784 citations indexed

About

J. Suttie is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J. Suttie has authored 35 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 21 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J. Suttie's work include Cardiac Imaging and Diagnostics (17 papers), Advanced MRI Techniques and Applications (12 papers) and Cardiovascular Function and Risk Factors (11 papers). J. Suttie is often cited by papers focused on Cardiac Imaging and Diagnostics (17 papers), Advanced MRI Techniques and Applications (12 papers) and Cardiovascular Function and Risk Factors (11 papers). J. Suttie collaborates with scholars based in United Kingdom, Australia and United States. J. Suttie's co-authors include Stefan Neubauer, Cameron Holloway, Sairia Dass, Theodoros D. Karamitsos, Masliza Mahmod, Hugh Watkins, Stefan K. Piechnik, Matthew D. Robson, Lowri E. Cochlin and Vanessa M. Ferreira and has published in prestigious journals such as The Lancet, Circulation and Journal of the American College of Cardiology.

In The Last Decade

J. Suttie

29 papers receiving 770 citations

Peers

J. Suttie

CCM

RNMI

SURGE

EPIDE

Juergen Gieseke Germany

Gabriele Bonanno Switzerland

Martin Been United Kingdom

Neal G. Ravindra United States

Mantosh S. Rattan United States

Gina LaRocca United States

Dazhong Tang China

Simon C. Koestner Switzerland

Belinda D’Souza United States

John A. Burdine United States

Juergen Gieseke Germany

J. Suttie

451 ×0.8

CCM

403 ×1.1

RNMI

70 ×0.5

205 ×2.4

SURGE

249 ×3.7

EPIDE

Citations per year, relative to J. Suttie J. Suttie (= 1×) peers Juergen Gieseke

Countries citing papers authored by J. Suttie

Since Specialization

Citations

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

Fields of papers citing papers by J. Suttie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Suttie

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

Suttie, J., et al.. (2022). Intra-atrial Coronary Artery Variants Assessed by CT Coronary Angiography in a Large Regional Population. Heart Lung and Circulation. 31. S164–S165. 1 indexed citations

Suttie, J., et al.. (2020). 386 Patterns of Cardiomyopathy in a Rural Population as Identified on Cardiac Magnetic Resonance Imaging. Heart Lung and Circulation. 29. S211–S211.

Lennon, Matthew J., et al.. (2019). Partial empty sella in a woman with cerebral venous sinus thrombosis: A rare presentation of polycythaemia rubra vera. Journal of Clinical Neuroscience. 66. 275–277.

Kempton, H., et al.. (2019). Using Coronary Artery Calcium Scoring as Preventative Health Tool to Reduce the High Burden of Cardiovascular Disease in Indigenous Australians. Heart Lung and Circulation. 29(6). 835–839. 7 indexed citations

Suttie, J., et al.. (2017). Rural CTCA: Effectively Managing the Tyranny of Distance. Heart Lung and Circulation. 26. S341–S341. 1 indexed citations

Jain, Pankaj, et al.. (2016). Proximal pulmonary artery stenosis: a rare manifestation of granulomatosis with polyangiitis. The Lancet. 387(10035). 2349–2350. 4 indexed citations

Dass, Sairia, Lowri E. Cochlin, J. Suttie, et al.. (2015). Exercise acutely exacerbates derangement of cardiac energy metabolism in hypertrophic cardiomyopathy, a 31 phosphorus magnetic resonance study at 3 Telsa. Oxford University Research Archive (ORA) (University of Oxford).

Dass, Sairia, Lowri E. Cochlin, J. Suttie, et al.. (2015). Exacerbation of cardiac energetic impairment during exercise in hypertrophic cardiomyopathy: a potential mechanism for diastolic dysfunction. European Heart Journal. 36(24). 1547–1554. 59 indexed citations

Karamitsos, Theodoros D., Sairia Dass, J. Suttie, et al.. (2013). Blunted Myocardial Oxygenation Response During Vasodilator Stress in Patients With Hypertrophic Cardiomyopathy. Journal of the American College of Cardiology. 61(11). 1169–1176. 44 indexed citations

10.

Mahmod, Masliza, Sacha Bull, J. Suttie, et al.. (2013). Myocardial Steatosis and Left Ventricular Contractile Dysfunction in Patients With Severe Aortic Stenosis. Circulation Cardiovascular Imaging. 6(5). 808–816. 51 indexed citations

11.

Asaad, Magdi M., Ntobeko Ntusi, Emma Wainwright, et al.. (2012). Infection with human immunodeficiency virus is an independent predictor of increased aortic stiffness. European Heart Journal. 33. 787–787. 1 indexed citations

12.

Holloway, Cameron, Sairia Dass, J. Suttie, et al.. (2012). Exercise training in dilated cardiomyopathy improves rest and stress cardiac function without changes in cardiac high energy phosphate metabolism. Heart. 98(14). 1083–1090. 28 indexed citations

13.

Dass, Sairia, J. Suttie, Stefan K. Piechnik, et al.. (2012). Myocardial Tissue Characterization Using Magnetic Resonance Noncontrast T1 Mapping in Hypertrophic and Dilated Cardiomyopathy. Circulation Cardiovascular Imaging. 5(6). 726–733. 252 indexed citations

14.

Augustine, Daniel, J. Suttie, Adam J. Lewandowski, et al.. (2011). Assessment of left ventricular 3D speckle tracking echocardiography using vendor dependent and vender independent software with CMR correlation. European Heart Journal. 32. 52–52. 1 indexed citations

15.

Suttie, J., Lance DelaBarre, Alex Pitcher, et al.. (2011). Feasibility of ultrahigh field (7 Tesla) human cardiovascular magnetic resonance imaging to assess cardiac volumes and mass validated against 1.5 T and 3T field strengths. Journal of Cardiovascular Magnetic Resonance. 13(S1). 3 indexed citations

16.

Mahmod, Masliza, Theodoros D. Karamitsos, J. Suttie, et al.. (2011). Prevalence of cardiomyopathy in asymptomatic patients with left bundle branch block referred for cardiovascular magnetic resonance imaging. International journal of cardiac imaging. 28(5). 1133–1140. 21 indexed citations

17.

Holloway, Cameron, J. Suttie, Sairia Dass, & Stefan Neubauer. (2011). Clinical Cardiac Magnetic Resonance Spectroscopy. Progress in Cardiovascular Diseases. 54(3). 320–327. 31 indexed citations

18.

Pitcher, Alex, J. Suttie, Jane M Francis, et al.. (2011). 108 4D-flow CMR demonstrates the regional distribution of aortic flow disturbance in Marfan syndrome. Heart. 97(Suppl 1). A62.1–A62. 2 indexed citations

19.

Suttie, J., Ali Yılmaz, Sairia Dass, et al.. (2010). Two center study to assess the functional relevance of myocardial fibrosis in muscular dystrophy patients with and without left ventricular systolic dysfunction. Journal of Cardiovascular Magnetic Resonance. 12(S1).

20.

Penha‐Gonçalves, Carlos, C. Moule, Luc J Smink, et al.. (2003). Identification of a Structurally Distinct CD101 Molecule Encoded in the 950-kbIdd10Region of NOD Mice. Diabetes. 52(6). 1551–1556. 22 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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