J. Mazhar

404 total citations
16 papers, 265 citations indexed

About

J. Mazhar is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, J. Mazhar has authored 16 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Surgery. Recurrent topics in J. Mazhar's work include Cardiac Imaging and Diagnostics (9 papers), Acute Myocardial Infarction Research (8 papers) and Coronary Interventions and Diagnostics (6 papers). J. Mazhar is often cited by papers focused on Cardiac Imaging and Diagnostics (9 papers), Acute Myocardial Infarction Research (8 papers) and Coronary Interventions and Diagnostics (6 papers). J. Mazhar collaborates with scholars based in Australia, New Zealand and Denmark. J. Mazhar's co-authors include A. Farshid, Gemma A. Figtree, Ravinay Bhindi, Stuart M. Grieve, Suchi Grover, B. Pathik, Joseph B. Selvanayagam, Andrew D. McGavigan, Anand N. Ganesan and Betty Raman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Journal of the American Heart Association.

In The Last Decade

J. Mazhar

15 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Mazhar Australia 8 191 122 100 32 25 16 265
Elisa McAlindon United Kingdom 9 223 1.2× 187 1.5× 94 0.9× 18 0.6× 23 0.9× 26 319
Hideki Kunichika Japan 8 207 1.1× 112 0.9× 85 0.8× 74 2.3× 39 1.6× 22 339
Jolanta Justina Vaškelytė Lithuania 12 233 1.2× 104 0.9× 73 0.7× 67 2.1× 11 0.4× 37 285
Amato Santoro Italy 10 258 1.4× 76 0.6× 42 0.4× 23 0.7× 16 0.6× 34 376
Stanley D. Bleich United States 5 227 1.2× 60 0.5× 97 1.0× 24 0.8× 17 0.7× 6 290
J. Wright Australia 6 242 1.3× 175 1.4× 62 0.6× 15 0.5× 16 0.6× 14 291
Francesco Rametta Italy 9 182 1.0× 49 0.4× 81 0.8× 30 0.9× 26 1.0× 34 263
Hye Bin Gwag South Korea 11 241 1.3× 71 0.6× 80 0.8× 30 0.9× 54 2.2× 45 351
Andrew Jabbour United Kingdom 6 250 1.3× 124 1.0× 56 0.6× 29 0.9× 15 0.6× 19 298
Aamir Ali United Kingdom 8 338 1.8× 113 0.9× 88 0.9× 23 0.7× 47 1.9× 16 422

Countries citing papers authored by J. Mazhar

Since Specialization
Citations

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

Fields of papers citing papers by J. Mazhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

16 of 16 papers shown
1.
Mazhar, J., Rebecca Kozor, Stuart M. Grieve, et al.. (2022). Cardiovascular magnetic resonance characteristics and clinical outcomes of patients with ST-elevation myocardial infarction and no standard modifiable risk factors–A DANAMI-3 substudy. Frontiers in Cardiovascular Medicine. 9. 945815–945815. 6 indexed citations
2.
Figtree, Gemma A., Björn Redfors, Rebecca Kozor, et al.. (2022). Clinical Outcomes in Patients With ST-Segment Elevation MI and No Standard Modifiable Cardiovascular Risk Factors. JACC: Cardiovascular Interventions. 15(11). 1167–1175. 25 indexed citations
3.
Mazhar, J., Gemma A. Figtree, Stephen T. Vernon, et al.. (2020). Progression of coronary atherosclerosis in patients without standard modifiable risk factors. SHILAP Revista de lepidopterología. 4. 100116–100116. 18 indexed citations
4.
Mazhar, J., Elizabeth Shaw, U. Allahwala, Gemma A. Figtree, & Ravinay Bhindi. (2015). Comparison of two dimensional quantitative coronary angiography (2D-QCA) with optical coherence tomography (OCT) in the assessment of coronary artery lesion dimensions. IJC Heart & Vasculature. 7. 14–17. 7 indexed citations
5.
Pathik, B., Betty Raman, S Rajendran, et al.. (2015). Troponin-positive chest pain with unobstructed coronary arteries: incremental diagnostic value of cardiovascular magnetic resonance imaging. European Heart Journal - Cardiovascular Imaging. 17(10). 1146–1152. 79 indexed citations
6.
Mazhar, J., et al.. (2015). Predictors and outcome of no-reflow post primary percutaneous coronary intervention for ST elevation myocardial infarction. IJC Heart & Vasculature. 10. 8–12. 42 indexed citations
7.
Shaw, Elizabeth, U. Allahwala, James Cockburn, et al.. (2015). The effect of coronary artery plaque composition, morphology and burden on Absorb bioresorbable vascular scaffold expansion and eccentricity — A detailed analysis with optical coherence tomography. International Journal of Cardiology. 184. 230–236. 12 indexed citations
8.
9.
Grieve, Stuart M., J. Mazhar, Fraser M. Callaghan, et al.. (2014). Automated Quantification of Myocardial Salvage in a Rat Model of Ischemia–Reperfusion Injury Using 3D High‐Resolution Magnetic Resonance Imaging (MRI). Journal of the American Heart Association. 3(4). 5 indexed citations
10.
Rayner, Benjamin S., Gemma A. Figtree, Tharani Sabaretnam, et al.. (2013). SELECTIVE INHIBITION OF THE MASTER REGULATOR TRANSCRIPTION FACTOR EGR-1 USING CATALYTIC OLIGONUCLEOTIDES REDUCES MYOCARDIAL INJURY AND IMPROVES LV SYSTOLIC FUNCTION IN A PRECLINICAL MODEL OF MYOCARDIAL INFARCTION. Journal of the American College of Cardiology. 61(10). E213–E213. 2 indexed citations
11.
Rayner, Benjamin S., Gemma A. Figtree, Tharani Sabaretnam, et al.. (2013). Selective Inhibition of the Master Regulator Transcription Factor Egr‐1 With Catalytic Oligonucleotides Reduces Myocardial Injury and Improves Left Ventricular Systolic Function in a Preclinical Model of Myocardial Infarction. Journal of the American Heart Association. 2(4). e000023–e000023. 46 indexed citations
12.
Grieve, Stuart M., Jacob Lønborg, J. Mazhar, et al.. (2012). Cardiac magnetic resonance imaging of rapid VCAM-1 up-regulation in myocardial ischemia–reperfusion injury. European Biophysics Journal. 42(1). 61–70. 15 indexed citations
13.
Mazhar, J., et al.. (2012). Chest Pain Unit (CPU) in the Management of Low to Intermediate Risk Acute Coronary Syndrome: A Tertiary Hospital Experience from New Zealand. Heart Lung and Circulation. 22(2). 110–115. 5 indexed citations
14.
Mazhar, J., et al.. (2011). How Good Is Tricuspid Regurgitation Velocity in Excluding Pulmonary Hypertension in Patients with Left Heart Disease. Heart Lung and Circulation. 20. S176–S176. 1 indexed citations
15.
Mazhar, J., et al.. (2011). Clinical Impact of High Sensitive Troponin T (HsTnT) on Diagnosis of Acute Coronary Syndrome (ACS). Heart Lung and Circulation. 20(6). 400–400. 1 indexed citations
16.
Mazhar, J., et al.. (2011). Clinical Impact of High Sensitive Troponin T (HsTnT) on Diagnosis of Acute Coronary Syndrome (ACS). Heart Lung and Circulation. 20. S27–S27. 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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