Arthur Nasis

2.3k total citations
77 papers, 1.3k citations indexed

About

Arthur Nasis is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Arthur Nasis has authored 77 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Cardiology and Cardiovascular Medicine, 36 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Surgery. Recurrent topics in Arthur Nasis's work include Cardiac Imaging and Diagnostics (35 papers), Cardiac Valve Diseases and Treatments (15 papers) and Infective Endocarditis Diagnosis and Management (14 papers). Arthur Nasis is often cited by papers focused on Cardiac Imaging and Diagnostics (35 papers), Cardiac Valve Diseases and Treatments (15 papers) and Infective Endocarditis Diagnosis and Management (14 papers). Arthur Nasis collaborates with scholars based in Australia, United Kingdom and United States. Arthur Nasis's co-authors include James D. Cameron, John M. Troupis, Sujith Seneviratne, Ian T. Meredith, Brian Ko, Marcus Crossett, Hashrul Rashid, Nitesh Nerlekar, P. Antonis and Robert Gooley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Radiology.

In The Last Decade

Arthur Nasis

75 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arthur Nasis Australia 20 758 758 356 306 224 77 1.3k
J. Wells Askew United States 18 734 1.0× 785 1.0× 242 0.7× 202 0.7× 132 0.6× 55 1.3k
Julia Stehli Switzerland 26 662 0.9× 1.0k 1.4× 335 0.9× 598 2.0× 132 0.6× 87 1.7k
Jennifer Adgey United Kingdom 15 1.2k 1.5× 491 0.6× 467 1.3× 119 0.4× 143 0.6× 53 1.6k
Karthik Ananthasubramaniam United States 18 621 0.8× 532 0.7× 255 0.7× 152 0.5× 147 0.7× 70 1.1k
Maarten J. Cramer Netherlands 12 644 0.8× 896 1.2× 405 1.1× 373 1.2× 49 0.2× 32 1.4k
Edoardo Conte Italy 24 913 1.2× 1.1k 1.5× 458 1.3× 485 1.6× 159 0.7× 137 1.7k
Francesco Chiarella Italy 20 1.4k 1.8× 428 0.6× 409 1.1× 153 0.5× 189 0.8× 61 1.6k
Rajesh Janardhanan United States 20 1.1k 1.5× 753 1.0× 328 0.9× 281 0.9× 107 0.5× 71 1.6k
J. Younger Australia 11 506 0.7× 874 1.2× 254 0.7× 189 0.6× 46 0.2× 36 1.1k
Andrew Lin United States 20 744 1.0× 591 0.8× 420 1.2× 187 0.6× 72 0.3× 72 1.1k

Countries citing papers authored by Arthur Nasis

Since Specialization
Citations

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

Fields of papers citing papers by Arthur Nasis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arthur Nasis

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

All Works

20 of 20 papers shown
1.
Muthalaly, Rahul G., et al.. (2023). Socioeconomic determinants of health, traditional risk factors and cardiovascular outcomes in Australia. International Journal of Cardiology Cardiovascular Risk and Prevention. 17. 200184–200184. 5 indexed citations
3.
Rashid, Hashrul, Ronak Rajani, Jonathon Leipsic, et al.. (2022). Computed tomography imaging for subclinical leaflet thrombosis following surgical and transcatheter aortic valve replacement. Journal of cardiovascular computed tomography. 17(1). 2–10. 9 indexed citations
4.
Rashid, Hashrul, Michael Michail, Abdul Rahman Ihdayhid, et al.. (2022). Prosthesis Geometrical Predictors of Leaflet Thrombosis Following Transcatheter Aortic Valve Replacement With Intra-Annular Prostheses. Heart Lung and Circulation. 31(5). 678–684. 10 indexed citations
6.
Cullen, Louise, et al.. (2021). Potential impact of a novel pathway for suspected myocardial infarction utilising a new high-sensitivity cardiac troponin I assay. Emergency Medicine Journal. 39(11). 847–852. 2 indexed citations
7.
Rashid, Hashrul, Michael Michail, Arthur Nasis, et al.. (2021). The impact of hypo-attenuated leaflet thickening on haemodynamic valve deterioration following transcatheter aortic valve replacement. Journal of cardiovascular computed tomography. 16(2). 168–173. 16 indexed citations
8.
Falster, Michael O., Andrea L. Schaffer, Andrew Wilson, et al.. (2020). Evidence‐practice gaps in P2Y12 inhibitor use after hospitalisation for acute myocardial infarction: findings from a new population‐level data linkage in Australia. Internal Medicine Journal. 52(2). 249–258. 6 indexed citations
10.
Schofield, Rebecca, Balaji Ganeshan, Marianna Fontana, et al.. (2018). Texture analysis of cardiovascular magnetic resonance cine images differentiates aetiologies of left ventricular hypertrophy. Clinical Radiology. 74(2). 140–149. 40 indexed citations
12.
Mirzaee, S., et al.. (2018). A Small Change Can Make a Big Difference: A Lesson from Evolocumab. Heart Lung and Circulation. 28(3). e21–e22. 2 indexed citations
13.
Treibel, Thomas A., Marianna Fontana, Jennifer A. Steeden, et al.. (2017). Automatic quantification of the myocardial extracellular volume by cardiac computed tomography: Synthetic ECV by CCT. Journal of cardiovascular computed tomography. 11(3). 221–226. 35 indexed citations
14.
Rashid, Hashrul, Robert Gooley, Liam McCormick, et al.. (2016). Safety and efficacy of valve repositioning during transcatheter aortic valve replacement with the Lotus Valve System. Journal of Cardiology. 70(1). 55–61. 11 indexed citations
15.
Nasis, Arthur, et al.. (2013). Review of cardiomyopathy imaging. European Journal of Radiology. 82(10). 1763–1775. 8 indexed citations
16.
Troupis, John M., Sujith Seneviratne, Arthur Nasis, et al.. (2013). Myocardial density analysis utilizing automated myocardial defect analysis software on resting 320-detector MDCT. International journal of cardiac imaging. 29(5). 1121–1127. 3 indexed citations
17.
Troupis, John M., et al.. (2012). Cardiomyopathy and cardiac computed tomography: What the radiologist needs to know. Clinical Radiology. 68(1). e49–e58. 4 indexed citations
18.
Ko, Brian, James D. Cameron, Ian T. Meredith, et al.. (2011). Computed tomography stress myocardial perfusion imaging in patients considered for revascularization: a comparison with fractional flow reserve. European Heart Journal. 33(1). 67–77. 157 indexed citations
19.
Nasis, Arthur, Richard W. Harper, & Philip M. Mottram. (2011). Real-time Three-dimensional Transoesophageal Echocardiography for Guidance of Transcatheter Closure of a Complex Multifenestrated Atrial Septal Defect. Heart Lung and Circulation. 20(5). 343–344. 4 indexed citations
20.
Nasis, Arthur, P. Antonis, & Sujith Seneviratne. (2009). 320-detector row cardiac computed tomography in the diagnosis of arrhythmogenic right ventricular cardiomyopathy. EP Europace. 11(8). 1125–1126. 1 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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