S. Prasad

713 total citations
58 papers, 464 citations indexed

About

S. Prasad is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, S. Prasad has authored 58 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cardiology and Cardiovascular Medicine, 28 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Surgery. Recurrent topics in S. Prasad's work include Cardiac Imaging and Diagnostics (28 papers), Cardiovascular Function and Risk Factors (27 papers) and Acute Myocardial Infarction Research (14 papers). S. Prasad is often cited by papers focused on Cardiac Imaging and Diagnostics (28 papers), Cardiovascular Function and Risk Factors (27 papers) and Acute Myocardial Infarction Research (14 papers). S. Prasad collaborates with scholars based in Australia, New Zealand and India. S. Prasad's co-authors include David J. Holland, J. Atherton, Thomas H. Marwick, Liza Thomas, Gillian Whalley, Pramesh Kovoor, Tony Stanton, Yuvaraj Malaiapan, Ian T. Meredith and S. Harding and has published in prestigious journals such as Circulation, The American Journal of Cardiology and Heart.

In The Last Decade

S. Prasad

51 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Prasad Australia 12 365 203 79 57 38 58 464
Ashwin Venkateshvaran Sweden 14 418 1.1× 106 0.5× 87 1.1× 98 1.7× 26 0.7× 48 494
Fabio Bertacchini Italy 14 376 1.0× 79 0.4× 95 1.2× 65 1.1× 11 0.3× 46 512
Hielko Miljoen Belgium 13 476 1.3× 94 0.5× 112 1.4× 46 0.8× 28 0.7× 52 576
Jihoon Kim South Korea 12 320 0.9× 111 0.5× 193 2.4× 99 1.7× 21 0.6× 61 446
Ahmed Aziz Denmark 9 408 1.1× 324 1.6× 180 2.3× 29 0.5× 21 0.6× 18 512
Wacław Kochman Poland 11 312 0.9× 104 0.5× 161 2.0× 42 0.7× 23 0.6× 39 435
Siu‐Hin Wan United States 9 400 1.1× 64 0.3× 42 0.5× 54 0.9× 42 1.1× 35 487
Roxana Djaberi Netherlands 13 380 1.0× 133 0.7× 160 2.0× 42 0.7× 40 1.1× 15 499
Eduardo Flores‐Umanzor Spain 11 346 0.9× 86 0.4× 146 1.8× 57 1.0× 49 1.3× 71 482
Mikhail Torosoff United States 11 210 0.6× 65 0.3× 89 1.1× 125 2.2× 21 0.6× 50 371

Countries citing papers authored by S. Prasad

Since Specialization
Citations

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

Fields of papers citing papers by S. Prasad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Prasad

This figure shows the co-authorship network connecting the top 25 collaborators of S. Prasad. A scholar is included among the top collaborators of S. Prasad 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 S. Prasad. S. Prasad 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.
Dahiya, Arun, Arnold C.T. Ng, Julie McGaughran, et al.. (2025). Use of Advanced Echocardiographic Modalities to Discriminate Preclinical Hypertrophic Cardiomyopathy Mutation Carriers From Non-Carriers. Circulation Genomic and Precision Medicine. 18(2). e004806–e004806.
4.
Thomas, Liza, et al.. (2023). Predicting new onset atrial fibrillation post acute myocardial infarction: Echocardiographic assessment of left atrial size. Echocardiography. 40(6). 456–463. 3 indexed citations
5.
Dahiya, Arun, et al.. (2023). Exaggerated myocardial torsion may contribute to dynamic left ventricular outflow tract obstruction in hypertrophic cardiomyopathy. European Heart Journal Open. 3(4). oead043–oead043. 3 indexed citations
6.
Prasad, S., David J. Holland, & J. Atherton. (2023). Controversies and dilemmas in the diagnosis of heart failure with preserved ejection fraction. The Medical Journal of Australia. 219(4). 142–145. 1 indexed citations
7.
Sun, Jennifer K., et al.. (2023). Predictors of New Onset Atrial Fibrillation Burden in the Critically Ill. Cardiology. 149(2). 165–173. 6 indexed citations
8.
Henderson, Robert J., S. Prasad, R. Denman, et al.. (2023). Phenotypic variability within the desminopathies: A case series of three patients. Frontiers in Neurology. 13. 1110934–1110934. 2 indexed citations
9.
Boots, Robert, et al.. (2022). Critical illness associated new onset atrial fibrillation: subsequent atrial fibrillation diagnoses and other adverse outcomes. EP Europace. 25(2). 300–307. 7 indexed citations
10.
Dahiya, Arun, et al.. (2020). Surgical Repair of a Unileaflet Mitral Valve: A Rare Congenital Abnormality and a Novel Surgical Approach. CASE. 4(5). 420–428. 3 indexed citations
11.
Ramsay, Stuart C., et al.. (2020). Estimation of prevalence of transthyretin (ATTR) cardiac amyloidosis in an Australian subpopulation using bone scans with echocardiography and clinical correlation. Journal of Nuclear Cardiology. 28(6). 2845–2856. 25 indexed citations
12.
Prasad, S., A. Camuglia, Ada Lo, et al.. (2019). Hemodynamic Validation of the E/e’ Ratio as a Measure of Left Ventricular Filling Pressure in Patients With Non-ST Elevation Myocardial Infarction. The American Journal of Cardiology. 125(4). 507–512. 7 indexed citations
13.
Prasad, S., et al.. (2019). Relation of Left Atrial Volumes in Patients With Myocardial Infarction to Left Ventricular Filling Pressures and Outcomes. The American Journal of Cardiology. 124(3). 325–333. 27 indexed citations
14.
Younger, J., Ada Lo, Louise McCormack, et al.. (2019). Hypertrophic Cardiomyopathy: Challenging the Status Quo?. Heart Lung and Circulation. 29(4). 556–565. 4 indexed citations
15.
Prasad, S., Andrew Lin, Tony Stanton, et al.. (2018). Diastolic Dysfunction Assessed Using Contemporary Guidelines and Prognosis Following Myocardial Infarction. Journal of the American Society of Echocardiography. 31(10). 1127–1136. 37 indexed citations
16.
Lin, Andrew, et al.. (2016). Abstract 11330: E/e’ is a Powerful Predictor of Survival After a First-Ever Non-ST Elevation Myocardial Infarction. Circulation. 134(suppl_1). 3 indexed citations
17.
Malaiapan, Yuvaraj, Michael Leung, S. Prasad, et al.. (2012). Guideline recommended door-to-balloon time can be achieved in transradial primary PCI — the usefulness of a dedicated radial guide catheter. Cardiovascular revascularization medicine. 14(1). 27–31. 2 indexed citations
18.
Prasad, S., T. David, Yuvaraj Malaiapan, James D. Cameron, & Ian T. Meredith. (2010). Selective drug‐eluting stent implantation for high‐risk patients with acute ST‐elevation myocardial infarction: Rationale and safety. Catheterization and Cardiovascular Interventions. 77(2). 193–200. 1 indexed citations
19.
Prasad, S., et al.. (2009). Transradial left main stem rotational artherectomy and stenting: case report and literature review. Cardiovascular revascularization medicine. 10(2). 136–139. 1 indexed citations
20.
Prasad, S., et al.. (2008). Primary percutaneous coronary intervention for acute myocardial infarction caused by unprotected left main stem thrombosis. Catheterization and Cardiovascular Interventions. 73(3). 301–307. 25 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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