Thomas J. Eperjesi

500 total citations
15 papers, 371 citations indexed

About

Thomas J. Eperjesi is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery. According to data from OpenAlex, Thomas J. Eperjesi has authored 15 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 9 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Thomas J. Eperjesi's work include Cardiac Valve Diseases and Treatments (13 papers), Cardiovascular Function and Risk Factors (9 papers) and Infective Endocarditis Diagnosis and Management (9 papers). Thomas J. Eperjesi is often cited by papers focused on Cardiac Valve Diseases and Treatments (13 papers), Cardiovascular Function and Risk Factors (9 papers) and Infective Endocarditis Diagnosis and Management (9 papers). Thomas J. Eperjesi collaborates with scholars based in United States and Netherlands. Thomas J. Eperjesi's co-authors include Robert C. Gorman, Joseph H. Gorman, Benjamin M. Jackson, Theodore J. Plappert, Mathieu Vergnat, Martin St. John-Sutton, Arminder S. Jassar, Liam P. Ryan, Alison M. Pouch and Albert T. Cheung and has published in prestigious journals such as Journal of Biomechanics, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Thomas J. Eperjesi

15 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas J. Eperjesi United States 10 342 216 173 52 38 15 371
Liam P. Ryan United States 10 270 0.8× 202 0.9× 114 0.7× 46 0.9× 46 1.2× 20 349
Wolfgang A. Goetz Germany 12 358 1.0× 174 0.8× 186 1.1× 47 0.9× 33 0.9× 26 441
Shengqiu He United States 8 652 1.9× 349 1.6× 192 1.1× 50 1.0× 73 1.9× 8 663
Frans B S Oei Netherlands 13 335 1.0× 207 1.0× 179 1.0× 49 0.9× 31 0.8× 33 480
Oren M. Rotman United States 9 307 0.9× 150 0.7× 152 0.9× 38 0.7× 24 0.6× 18 353
Mevlüt Çelik Netherlands 8 286 0.8× 120 0.6× 181 1.0× 16 0.3× 21 0.6× 15 318
Brandon Kovarovic United States 10 241 0.7× 103 0.5× 120 0.7× 22 0.4× 20 0.5× 23 266
Malgorzata Kornaszewska United Kingdom 5 327 1.0× 364 1.7× 46 0.3× 167 3.2× 15 0.4× 10 405
Constantine Athanasuleas United States 7 254 0.7× 207 1.0× 26 0.2× 97 1.9× 30 0.8× 10 282
Filippo Civaia Monaco 11 353 1.0× 273 1.3× 78 0.5× 149 2.9× 123 3.2× 27 423

Countries citing papers authored by Thomas J. Eperjesi

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Eperjesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas J. Eperjesi

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

All Works

15 of 15 papers shown
1.
Hamer, Inez J. Wijdh‐den, Wobbe Bouma, Alison M. Pouch, et al.. (2020). Intraoperative post-annuloplasty three-dimensional valve analysis does not predict recurrent ischemic mitral regurgitation. Journal of Cardiothoracic Surgery. 15(1). 161–161. 4 indexed citations
2.
Avazmohammadi, Reza, João S. Soares, David S. Li, et al.. (2020). On the in vivo systolic compressibility of left ventricular free wall myocardium in the normal and infarcted heart. Journal of Biomechanics. 107. 109767–109767. 18 indexed citations
3.
Pasrija, Chetan, Rachael W. Quinn, Mehrdad Ghoreishi, et al.. (2020). A Novel Quantitative Ex Vivo Model of Functional Mitral Regurgitation. Innovations Technology and Techniques in Cardiothoracic and Vascular Surgery. 15(4). 329–337. 7 indexed citations
4.
Bouma, Wobbe, Eric Lai, Melissa M. Levack, et al.. (2015). Preoperative Three-Dimensional Valve Analysis Predicts Recurrent Ischemic Mitral Regurgitation After Mitral Annuloplasty. The Annals of Thoracic Surgery. 101(2). 567–575. 37 indexed citations
5.
Jassar, Arminder S., Masahito Minakawa, Takashi Shuto, et al.. (2012). Posterior Leaflet Augmentation in Ischemic Mitral Regurgitation Increases Leaflet Coaptation and Mobility. The Annals of Thoracic Surgery. 94(5). 1438–1445. 15 indexed citations
6.
Xu, Chun, Arminder S. Jassar, Derek P. Nathan, et al.. (2012). Augmented Mitral Valve Leaflet Area Decreases Leaflet Stress: A Finite Element Simulation. The Annals of Thoracic Surgery. 93(4). 1141–1145. 12 indexed citations
7.
Vergnat, Mathieu, Arminder S. Jassar, Benjamin M. Jackson, et al.. (2010). Ischemic Mitral Regurgitation: A Quantitative Three-Dimensional Echocardiographic Analysis. The Annals of Thoracic Surgery. 91(1). 157–164. 50 indexed citations
8.
Jassar, Arminder S., Clayton J. Brinster, Mathieu Vergnat, et al.. (2010). Quantitative Mitral Valve Modeling Using Real-Time Three-Dimensional Echocardiography: Technique and Repeatability. The Annals of Thoracic Surgery. 91(1). 165–171. 53 indexed citations
9.
Xu, Chun, Arminder S. Jassar, Mathieu Vergnat, et al.. (2010). A novel approach to in vivo mitral valve stress analysis. American Journal of Physiology-Heart and Circulatory Physiology. 299(6). H1790–H1794. 19 indexed citations
10.
Ryan, Liam, Kanji Matsuzaki, Mio Noma, et al.. (2008). Dermal Filler Injection: A Novel Approach for Limiting Infarct Expansion. The Annals of Thoracic Surgery. 87(1). 148–155. 44 indexed citations
11.
Ryan, Liam, Benjamin M. Jackson, Thomas J. Eperjesi, et al.. (2008). A methodology for assessing human mitral leaflet curvature using real-time 3-dimensional echocardiography. Journal of Thoracic and Cardiovascular Surgery. 136(3). 726–734. 36 indexed citations
12.
Ryan, Liam P., Benjamin M. Jackson, Thomas J. Eperjesi, et al.. (2008). The Influence of Annuloplasty Ring Geometry on Mitral Leaflet Curvature. The Annals of Thoracic Surgery. 86(3). 749–760. 62 indexed citations
13.
Sakamoto, Hiroaki, Landi M. Parish, Hirotsugu Hamamoto, et al.. (2007). Effect of Reperfusion on Left Ventricular Regional Remodeling Strains After Myocardial Infarction. The Annals of Thoracic Surgery. 84(5). 1528–1536. 9 indexed citations
14.
Ryan, Liam, Benjamin M. Jackson, Thomas J. Eperjesi, et al.. (2007). Quantitative Description of Mitral Valve Geometry Using Real-Time Three-Dimensional Echocardiography. Innovations Technology and Techniques in Cardiothoracic and Vascular Surgery. 2(5). 237–244. 2 indexed citations
15.
Ryan, Liam, Benjamin M. Jackson, Thomas J. Eperjesi, et al.. (2007). Quantitative Description of Mitral Valve Geometry Using Real-Time Three-Dimensional Echocardiography. Innovations Technology and Techniques in Cardiothoracic and Vascular Surgery. 2(5). 237–244. 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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