Elizabeth Epstein

429 total citations · 1 hit paper
14 papers, 257 citations indexed

About

Elizabeth Epstein is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Elizabeth Epstein has authored 14 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Elizabeth Epstein's work include Cardiac Imaging and Diagnostics (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Cardiac Health and Mental Health (4 papers). Elizabeth Epstein is often cited by papers focused on Cardiac Imaging and Diagnostics (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Cardiac Health and Mental Health (4 papers). Elizabeth Epstein collaborates with scholars based in United States, Netherlands and Pakistan. Elizabeth Epstein's co-authors include Pam R. Taub, Alison Bailey, Howard Weintraub, Christie M. Ballantyne, Richard Ferraro, Harold Bays, Peter P. Tóth, Ali Agha, Heather M. Johnson and Charles German and has published in prestigious journals such as SHILAP Revista de lepidopterología, CHEST Journal and Movement Disorders.

In The Last Decade

Elizabeth Epstein

11 papers receiving 249 citations

Hit Papers

Ten things to know about ten cardiovascular disease risk ... 2021 2026 2022 2024 2021 50 100 150

Peers

Elizabeth Epstein
Dominic A. Sica United States
Timothy Nguyen United States
Nishant K. Sekaran United States
Dominic A. Sica United States
Elizabeth Epstein
Citations per year, relative to Elizabeth Epstein Elizabeth Epstein (= 1×) peers Dominic A. Sica

Countries citing papers authored by Elizabeth Epstein

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Epstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Epstein

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

All Works

14 of 14 papers shown
1.
2.
Epstein, Elizabeth, et al.. (2025). Apolipoprotein B outperforms low density lipoprotein particle number as a marker of cardiovascular risk in the UK Biobank. European Journal of Preventive Cardiology. 1 indexed citations
3.
Minhas, Abdul Mannan Khan, Adeel Khoja, Sana Sheikh, et al.. (2025). Highlights of Cardiovascular Disease Prevention Studies Presented at the 2024 American Heart Association Scientific Sessions. Current Atherosclerosis Reports. 27(1). 30–30. 2 indexed citations
4.
Rosendael, Alexander van, Samantha R. Spierling Bagsic, Eric Hu, et al.. (2024). Can artificial intelligence–derived coronary atherosclerotic characteristics using CCTA/CACS predict the future onset of atrial fibrillation?. PubMed. 2(3). qyae098–qyae098.
5.
Hu, Eric, Alexander van Rosendael, Elizabeth Epstein, et al.. (2024). The effect of tube voltage on scan–rescan reproducibility of compositional plaque volume: technical variability is not true biological change. PubMed. 2(1). qyae041–qyae041. 1 indexed citations
6.
Epstein, Elizabeth. (2022). Genetic Testing in Patients with High Lipoprotein(a): Experience from the UCSD Lipoprotein(a) Specialty Clinic†. Journal of clinical lipidology. 16(1). e12–e13.
8.
Epstein, Elizabeth, et al.. (2021). Cardiac Rehab in the COVID Era and Beyond: mHealth and Other Novel Opportunities. Current Cardiology Reports. 23(5). 42–42. 26 indexed citations
9.
Bays, Harold, Pam R. Taub, Elizabeth Epstein, et al.. (2021). Ten things to know about ten cardiovascular disease risk factors. SHILAP Revista de lepidopterología. 5. 100149–100149. 150 indexed citations breakdown →
10.
Epstein, Elizabeth, et al.. (2021). Cardiac rehabilitation for coronary artery disease: latest updates. Current Opinion in Cardiology. 36(5). 556–564. 8 indexed citations
11.
Wang, Wenge, et al.. (2021). THE PERFECT STORM: DIFFUSE ALVEOLAR HEMORRHAGE AFTER SARS-COV-2 INFECTION. CHEST Journal. 160(4). A1212–A1213. 3 indexed citations
12.
Epstein, Elizabeth, et al.. (2020). Cardiac Rehab for Functional Improvement. Current Heart Failure Reports. 17(4). 161–170. 13 indexed citations
13.
Epstein, Elizabeth, et al.. (2009). Clinical measures of dysarthria in Friedreich Ataxia. Movement Disorders. 25(1). 108–111. 14 indexed citations
14.
Epstein, Elizabeth, Jennifer Farmer, Amy Y. Tsou, et al.. (2008). Health related quality of life measures in Friedreich Ataxia. Journal of the Neurological Sciences. 272(1-2). 123–128. 38 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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