Jwan A. Naser

562 total citations
54 papers, 226 citations indexed

About

Jwan A. Naser is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Jwan A. Naser has authored 54 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cardiology and Cardiovascular Medicine, 13 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Epidemiology. Recurrent topics in Jwan A. Naser's work include Cardiovascular Function and Risk Factors (26 papers), Cardiac Valve Diseases and Treatments (24 papers) and Cardiac Imaging and Diagnostics (12 papers). Jwan A. Naser is often cited by papers focused on Cardiovascular Function and Risk Factors (26 papers), Cardiac Valve Diseases and Treatments (24 papers) and Cardiac Imaging and Diagnostics (12 papers). Jwan A. Naser collaborates with scholars based in United States, Canada and Malaysia. Jwan A. Naser's co-authors include Grace Lin, Sorin V. Pislaru, Patricia A. Pellikka, Barry A. Borlaug, Samuel S. Lee, Hongqun Liu, Christopher G. Scott, Vuyisile T. Nkomo, Eunjung Lee and Marius N. Stan and has published in prestigious journals such as New England Journal of Medicine, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Jwan A. Naser

34 papers receiving 220 citations

Peers

Jwan A. Naser
Ling Kuo Taiwan
Timothy S. Phan United States
Jan Forner Germany
Mohsin Salih United States
Thanh Tran United States
Jwan A. Naser
Citations per year, relative to Jwan A. Naser Jwan A. Naser (= 1×) peers Aušra Kavoliūnienė

Countries citing papers authored by Jwan A. Naser

Since Specialization
Citations

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

Fields of papers citing papers by Jwan A. Naser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jwan A. Naser. 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 Jwan A. Naser. The network helps show where Jwan A. Naser may publish in the future.

Co-authorship network of co-authors of Jwan A. Naser

This figure shows the co-authorship network connecting the top 25 collaborators of Jwan A. Naser. A scholar is included among the top collaborators of Jwan A. Naser 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 Jwan A. Naser. Jwan A. Naser 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.
Harada, Tomonari, Hidemi Sorimachi, Jwan A. Naser, et al.. (2026). Echocardiographic Diastolic Function Grading in HFpEF. Journal of the American College of Cardiology. 87(10). 1261–1275.
2.
Malins, Jeffrey G., DM Anisuzzaman, John I. Jackson, et al.. (2025). Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study. The Lancet Digital Health. 7(4). e255–e263. 1 indexed citations
3.
Anisuzzaman, DM, Jeffrey G. Malins, John I. Jackson, et al.. (2025). Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound. PubMed. 3(1). 100194–100194. 1 indexed citations
4.
Naser, Jwan A., Abdullah Al‐Abcha, Dana Gerberi, et al.. (2025). Natural history of asymptomatic moderate or severe aortic regurgitation: a systematic review and meta-analysis. Heart. heartjnl–2025.
5.
Reddy, Yogesh N.V., Tomonari Harada, Shunichi Doi, et al.. (2025). Utility of HFpEF Diagnostic Scores to Stratify Cardiac Reserve Among Patients With Dyspnea. JACC Heart Failure. 13(10). 102526–102526. 1 indexed citations
6.
Naser, Jwan A., Tomonari Harada, Héctor I. Michelena, et al.. (2024). The Natural History of Atrial Functional Mitral Regurgitation. Journal of the American College of Cardiology. 83(16). 1495–1507. 9 indexed citations
7.
Tada, Atsushi, Shunichi Doi, Tomonari Harada, et al.. (2024). Autoimmune Disorders in Heart Failure With Preserved Ejection Fraction. JACC Heart Failure. 12(7). 1257–1269. 6 indexed citations
8.
Harada, Tomonari, Jwan A. Naser, Atsushi Tada, et al.. (2024). Cardiac Function, Haemodynamics, and Valve Competence with Exercise in Patients with Heart Failure with Preserved Ejection Fraction and Mild to Moderate Secondary Mitral Regurgitation. European Journal of Heart Failure. 26(7). 1616–1627. 6 indexed citations
9.
Naser, Jwan A., Tomonari Harada, Atsushi Tada, et al.. (2024). Prevalence, Incidence, and Outcomes of Diastolic Dysfunction in Isolated Tricuspid Regurgitation. JACC. Cardiovascular imaging. 17(12). 1411–1424. 5 indexed citations
10.
Liu, Hongqun, Jwan A. Naser, Grace Lin, & Samuel S. Lee. (2024). Reply to: Correspondence on “Cardiomyopathy in cirrhosis: From pathophysiology to clinical care”. JHEP Reports. 6(9). 101129–101129.
11.
Tada, Atsushi, Daniel Burkhoff, Jwan A. Naser, et al.. (2024). Dapagliflozin Enhances Arterial and Venous Compliance During Exercise in Heart Failure With Preserved Ejection Fraction: Insights From the CAMEO-DAPA Trial. Circulation. 150(13). 997–1009. 16 indexed citations
12.
Pislaru, Sorin V., Patricia A. Pellikka, Garvan C. Kane, et al.. (2024). Incremental Prognostic Value of Right Ventricular–Pulmonary Artery Coupling to a Clinical Risk Score in Tricuspid Regurgitation: The TRIO-RV Score. Journal of the American Society of Echocardiography. 38(3). 239–246. 3 indexed citations
13.
Larson, Kathryn F., Massar Omar, Hidemi Sorimachi, et al.. (2023). Clinical Phenogroup Diversity and Multiplicity: Impact on Mechanisms of Exercise Intolerance in Heart Failure with Preserved Ejection Fraction. European Journal of Heart Failure. 26(3). 564–577. 6 indexed citations
14.
Naser, Jwan A., Eunjung Lee, Christopher G. Scott, et al.. (2023). Prevalence and incidence of diastolic dysfunction in atrial fibrillation: clinical implications. European Heart Journal. 44(48). 5049–5060. 26 indexed citations
15.
Liu, Hongqun, Jwan A. Naser, Grace Lin, & Samuel S. Lee. (2023). Cardiomyopathy in cirrhosis: From pathophysiology to clinical care. JHEP Reports. 6(1). 100911–100911. 28 indexed citations
16.
Naser, Jwan A., Héctor I. Michelena, Grace Lin, et al.. (2023). Incidence, risk factors, and outcomes of atrial functional mitral regurgitation in patients with atrial fibrillation or sinus rhythm. European Heart Journal - Cardiovascular Imaging. 24(11). 1450–1457. 14 indexed citations
17.
Naser, Jwan A., Sorin V. Pislaru, Marius N. Stan, & Grace Lin. (2023). Incidence, Risk Factors, and Outcomes of Incident Atrial Fibrillation in Patients With Graves Disease. Mayo Clinic Proceedings. 98(6). 883–891. 4 indexed citations
18.
Naser, Jwan A., Vuyisile T. Nkomo, Ratnasari Padang, et al.. (2022). Performance of Echocardiographic Algorithms for Assessment of High Aortic Bioprosthetic Valve Gradients. Journal of the American Society of Echocardiography. 35(7). 682–691.e2. 3 indexed citations
19.
Thaden, Jeremy J., Jwan A. Naser, Edward El‐Am, et al.. (2022). Underestimation of Aortic Stenosis Severity by Doppler Mean Gradient during Atrial Fibrillation: Insights from Aortic Valve Weight. Journal of the American Society of Echocardiography. 36(1). 53–59.
20.
Salah, Husam M., Jwan A. Naser, Giuseppe Calcaterra, Pier Paolo Bassareo, & Jawahar L. Mehta. (2020). The Effect of Anticoagulation Use on Mortality in COVID-19 Infection. The American Journal of Cardiology. 134. 155–157. 9 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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