Nay Aung

5.9k total citations · 1 hit paper
130 papers, 2.9k citations indexed

About

Nay Aung is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Mechanical Engineering. According to data from OpenAlex, Nay Aung has authored 130 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Cardiology and Cardiovascular Medicine, 40 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Mechanical Engineering. Recurrent topics in Nay Aung's work include Cardiovascular Function and Risk Factors (45 papers), Cardiac Imaging and Diagnostics (35 papers) and Cardiomyopathy and Myosin Studies (17 papers). Nay Aung is often cited by papers focused on Cardiovascular Function and Risk Factors (45 papers), Cardiac Imaging and Diagnostics (35 papers) and Cardiomyopathy and Myosin Studies (17 papers). Nay Aung collaborates with scholars based in United Kingdom, United States and Italy. Nay Aung's co-authors include Steffen E. Petersen, Songjing Li, Stefan Neubauer, Stefan K. Piechnik, Kenneth Fung, Mihir M. Sanghvi, Mohammed Y Khanji, Patricia B. Munroe, Aaron M. Lee and Filip Zemrak and has published in prestigious journals such as Circulation, Nature Medicine and Nature Communications.

In The Last Decade

Nay Aung

119 papers receiving 2.8k 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.

Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort

2016 397 citations Steffen E. Petersen, Nay Aung et al. Journal of Cardiovascular Magnetic Resonance profile →

Peers

Nay Aung

CCM

RNMI

SURGE

George Andrikopoulos Greece

Chan Joo Lee South Korea

Peter H. M. Bovendeerd Netherlands

Koichi Taniguchi Japan

Jong-Chun Park South Korea

Andreas Wahl Switzerland

Xiaoming Zhang United States

Hiroshi Takahashi Japan

Hyun Jin Kim South Korea

Kazuhiro Shimizu Japan

George Andrikopoulos Greece

Nay Aung

2.1k ×1.4

CCM

390 ×0.5

RNMI

255 ×0.7

331 ×1.2

SURGE

167 ×0.6

Citations per year, relative to Nay Aung Nay Aung (= 1×) peers George Andrikopoulos

Countries citing papers authored by Nay Aung

Since Specialization

Citations

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

Fields of papers citing papers by Nay Aung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nay Aung

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

Aung, Nay, et al.. (2025). A new method for identifying lubricant additives: combining PCA and stack ensemble regression model with infrared spectroscopy. Industrial Lubrication and Tribology. 77(8). 1402–1412.

Salih, Ahmed, Jackie A. Cooper, Christopher R. S. Banerji, et al.. (2025). Clinical Phenotypes in Hypertension: A Data-Driven Approach to Risk Stratification. Hypertension. 1 indexed citations

Chahal, C. Anwar A., Fares Alahdab, Babken Asatryan, et al.. (2025). Data Interoperability and Harmonization in Cardiovascular Genomic and Precision Medicine. Circulation Genomic and Precision Medicine. 18(3). e004624–e004624. 4 indexed citations

Raisi‐Estabragh, Zahra, Liliána Szabó, Celeste McCracken, et al.. (2024). Cardiovascular Magnetic Resonance Reference Ranges FBom the Healthy Hearts Consortium. Journal of Cardiovascular Magnetic Resonance. 26. 100770–100770.

Sanghvi, Mihir M., Julia Ramírez, Sucharitha Chadalavada, et al.. (2024). The Association Between Periodontal Disease and Cardiovascular Disease. SHILAP Revista de lepidopterología. 3(10). 101241–101241. 3 indexed citations

Sanghvi, Mihir M., C. Anwar A. Chahal, Constantinos O’Mahony, et al.. (2024). Hypertrophic cardiomyopathy management: a systematic review of the clinical practice guidelines and recommendations. European Heart Journal - Quality of Care and Clinical Outcomes. 11(7). 919–933. 1 indexed citations

Aung, Nay, et al.. (2024). A Comprehensive Review of Clinical Studies Applying Flow-Mediated Dilation. Diagnostics. 14(22). 2499–2499. 5 indexed citations

Aung, Nay, David H. MacIver, Henggui Zhang, Sucharitha Chadalavada, & Steffen E. Petersen. (2024). Global longitudinal active strain energy density (GLASED): a powerful prognostic marker in a community-based cohort. European Heart Journal - Cardiovascular Imaging. 25(10). 1405–1414. 1 indexed citations

Slabaugh, Greg, C. Anwar A. Chahal, Steffen E. Petersen, et al.. (2024). Management of acute myocarditis: a systematic review of clinical practice guidelines and recommendations. European Heart Journal - Quality of Care and Clinical Outcomes. 10(8). 658–668. 1 indexed citations

10.

Thomson, Ross J, Ciaran Grafton‐Clarke, Gareth B. Matthews, et al.. (2024). Risk Factors for Raised Left Ventricular Filling Pressure by Cardiovascular Magnetic Resonance: Prognostic Insights. ESC Heart Failure. 11(6). 4148–4159. 3 indexed citations

11.

Raisi‐Estabragh, Zahra, Liliána Szabó, Celeste McCracken, et al.. (2024). Cardiovascular Magnetic Resonance Reference Ranges From the Healthy Hearts Consortium. JACC. Cardiovascular imaging. 17(7). 746–762. 9 indexed citations

12.

Simon, Judit, Jackie Cooper, Celeste McCracken, et al.. (2023). Neuroticism personality traits are linked to adverse cardiovascular phenotypes in the UK Biobank. European Heart Journal - Cardiovascular Imaging. 24(11). 1460–1467. 7 indexed citations

13.

Grafton‐Clarke, Ciaran, Pankaj Garg, Andrew J. Swift, et al.. (2023). Cardiac Magnetic Resonance Left Ventricular Filling Pressure is Linked to Symptoms, Signs and Prognosis in Heart Failure. ESC Heart Failure. 10(5). 3067–3076. 4 indexed citations

14.

Naderi, Hafiz, Julia Ramírez, Stefan van Duijvenboden, et al.. (2023). Predicting left ventricular hypertrophy from the 12-lead electrocardiogram in the UK Biobank imaging study using machine learning. European Heart Journal - Digital Health. 4(4). 316–324. 11 indexed citations

15.

Simon, Judit, Kenneth Fung, Zahra Raisi‐Estabragh, et al.. (2022). Light to moderate coffee consumption is associated with lower risk of death: a UK Biobank study. European Journal of Preventive Cardiology. 29(6). 982–991. 24 indexed citations

16.

Xia, Yan, Xiang Chen, Nishant Ravikumar, et al.. (2022). Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale. Medical Image Analysis. 80. 102498–102498. 14 indexed citations

17.

Simon, Judit, Kenneth Fung, Márton Kolossváry, et al.. (2020). Sex-specific associations between alcohol consumption, cardiac morphology, and function as assessed by magnetic resonance imaging: insights form the UK Biobank Population Study. European Heart Journal - Cardiovascular Imaging. 22(9). 1009–1016. 4 indexed citations

18.

Biasiolli, Luca, Elena Lukaschuk, Valentina Carapella, et al.. (2019). Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data. PLoS ONE. 14(2). e0212272–e0212272. 24 indexed citations

19.

Gilbert, Kathleen, Wenjia Bai, Charlène Mauger, et al.. (2019). Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study. Scientific Reports. 9(1). 1130–1130. 34 indexed citations

20.

Gooya, Ali, Xènia Albà, Le Zhang, et al.. (2019). Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation. Medical Image Analysis. 56. 26–42. 39 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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