Aamir Ali

1.3k total citations · 1 hit paper
16 papers, 422 citations indexed

About

Aamir Ali is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Aamir Ali has authored 16 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Aamir Ali's work include Cardiac Imaging and Diagnostics (6 papers), Cardiomyopathy and Myosin Studies (6 papers) and Cardiac Valve Diseases and Treatments (3 papers). Aamir Ali is often cited by papers focused on Cardiac Imaging and Diagnostics (6 papers), Cardiomyopathy and Myosin Studies (6 papers) and Cardiac Valve Diseases and Treatments (3 papers). Aamir Ali collaborates with scholars based in United Kingdom, United States and Singapore. Aamir Ali's co-authors include Vassilios S. Vassiliou, Dudley J. Pennell, Simon Newsome, Sanjay Prasad, Brian P. Halliday, Stuart A. Cook, Upasana Tayal, Francisco Alpendurada, Ankur Gulati and Michael Frenneaux and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Aamir Ali

15 papers receiving 415 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Outcome in Dilated Cardiomyopathy Related to the Extent, Location, and Pattern of Late Gadolinium Enhancement

2018 213 citations Brian P. Halliday, A. John Baksi et al. JACC. Cardiovascular imaging profile →

Peers

Aamir Ali

CCM

RNMI

SURGE

PRM

Gonca Suna United Kingdom

J. Mazhar Australia

Yuval Konstantino Israel

Abbasin Zegard United Kingdom

Michele Fabrizio Italy

Megumi Hirokawa Japan

Ajay Kadakkal United States

Karsten Filzmaier Germany

Mariemma Paccanaro Italy

Gonca Suna United Kingdom

Aamir Ali

371 ×1.1

CCM

254 ×2.2

RNMI

75 ×0.9

SURGE

38 ×0.8

18 ×0.8

PRM

Citations per year, relative to Aamir Ali Aamir Ali (= 1×) peers Gonca Suna

Countries citing papers authored by Aamir Ali

Since Specialization

Citations

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

Fields of papers citing papers by Aamir Ali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aamir Ali

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

All Works

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16 of 16 papers shown

Butt, Nazish, et al.. (2023). Efficacy and Safety of Prunus mume and Choline in Patients with Nonalcoholic Fatty Liver Disease. Euroasian Journal of Hepato-Gastroenterology. 13(2). 124–127. 2 indexed citations

Ali, Aamir, et al.. (2020). ω-3 Ethyl ester results in better cognitive function at 12 and 30 months than control in cognitively healthy subjects with coronary artery disease: a secondary analysis of a randomized clinical trial. American Journal of Clinical Nutrition. 113(5). 1168–1176. 17 indexed citations

Sana, Muhammad Khawar, et al.. (2020). Paraneoplastic syndromes in cholangiocarcinoma. World Journal of Hepatology. 12(11). 897–907. 8 indexed citations

Halliday, Brian P., Ankur Gulati, Aamir Ali, et al.. (2018). Sex- and Age-Based Differences in the Natural History and Outcome of Dilated Cardiomyopathy. European Journal of Heart Failure. 20(10). 1392–1400. 91 indexed citations

Halliday, Brian P., A. John Baksi, Ankur Gulati, et al.. (2018). Outcome in Dilated Cardiomyopathy Related to the Extent, Location, and Pattern of Late Gadolinium Enhancement. JACC. Cardiovascular imaging. 12(8). 1645–1655. 213 indexed citations breakdown →

Ali, Aamir, Mougnyan Cox, David Kung, et al.. (2018). Anomalous Origin of the Right Vertebral Artery from the Right Common Carotid Artery. Cureus. 10(11). e3602–e3602. 7 indexed citations

Vassiliou, Vassilios S., Claire E. Raphael, Simon Newsome, et al.. (2017). Lipoprotein(a) in patients with aortic stenosis: Insights from cardiovascular magnetic resonance. PLoS ONE. 12(7). e0181077–e0181077. 13 indexed citations

Tayal, Upasana, Simon Newsome, Ricardo Wage, et al.. (2016). Evaluating the significance of left ventricular midwall fibrosis detected by late gadolinium enhancement imaging on left ventricular functional remodelling in dilated cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 18. P283–P283. 2 indexed citations

Tse, Gary, et al.. (2015). Tuberculous constrictive pericarditis. SHILAP Revista de lepidopterología. 4(4). 3–3. 33 indexed citations

10.

Raphael, Claire E., Robert Cooper, Jennifer Keegan, et al.. (2015). IMPACT OF LEFT VENTRICULAR OUTFLOW TRACT OBSTRUCTION AND MICROCIRCULATORY DYSFUNCTION ON CORONARY HAEMODYNAMICS IN HYPERTROPHIC CARDIOMYOPATHY. Journal of the American College of Cardiology. 65(10). A952–A952. 4 indexed citations

11.

Vassiliou, Vassilios S., Ee Ling Heng, Claire E. Raphael, et al.. (2015). Reproducibility of T1 mapping 11-heart beat MOLLI Sequence. Journal of Cardiovascular Magnetic Resonance. 17. W26–W26. 5 indexed citations

12.

Raphael, Claire E., Li‐Yueh Hsu, Anders M. Greve, et al.. (2015). Wave intensity analysis and assessment of myocardial perfusion abnormalities in patients with hypertrophic cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 17. Q72–Q72. 3 indexed citations

13.

Vassiliou, Vassilios S., Claire E. Raphael, Aamir Ali, et al.. (2014). MIDWALL FIBROSIS AND LONG-TERM OUTCOME IN PATIENTS WITH AORTIC STENOSIS. Journal of the American College of Cardiology. 63(12). A1199–A1199. 1 indexed citations

14.

Ali, Aamir, Li‐Yueh Hsu, Ankur Gulati, et al.. (2014). The association between ECV and microcirculation perfusion abnormalities in non-ischemic dilated cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 16. O88–O88.

15.

Vassiliou, Vassilios S., Calvin Chin, Aris Perperoglou, et al.. (2014). 93 Ejection Fraction by Cardiovascular Magnetic Resonance Predicts Adverse Outcomes Post Aortic Valve Replacement. Heart. 100(Suppl 3). A53.2–A54. 20 indexed citations

16.

Baksi, A. John, Angharad M. Roberts, James S. Ware, et al.. (2014). Titin: a phenotype-genotype descriptive comparison of dilated cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 16. O89–O89. 3 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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