Ethan Kung

963 total citations
34 papers, 708 citations indexed

About

Ethan Kung is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery. According to data from OpenAlex, Ethan Kung has authored 34 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 16 papers in Epidemiology and 15 papers in Surgery. Recurrent topics in Ethan Kung's work include Congenital Heart Disease Studies (15 papers), Cardiovascular Function and Risk Factors (15 papers) and Mechanical Circulatory Support Devices (13 papers). Ethan Kung is often cited by papers focused on Congenital Heart Disease Studies (15 papers), Cardiovascular Function and Risk Factors (15 papers) and Mechanical Circulatory Support Devices (13 papers). Ethan Kung collaborates with scholars based in United States, United Kingdom and Italy. Ethan Kung's co-authors include Alison L. Marsden, Charles A. Taylor, Giancarlo Pennati, Tain‐Yen Hsia, Francesco Migliavacca, Michael V. McConnell, Ryan B. Wicker, Francisco Medina, Andrea S. Les and Andrew M. Kahn and has published in prestigious journals such as PLoS ONE, Journal of Biomechanics and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Ethan Kung

32 papers receiving 696 citations

Peers

Ethan Kung

CCM

SURGE

EPIDE

PRM

Alison M. Pouch United States

Curt G. DeGroff United States

Niema M. Pahlevan United States

Roberto Fumero Italy

Wolfgang Bothe Germany

Borut Geršak Slovenia

Vitaly O. Kheyfets United States

Rossella Balossino Italy

Zhao Qin China

Noopur Ranganathan Canada

Alison M. Pouch United States

Ethan Kung

632 ×1.6

CCM

379 ×1.2

SURGE

276 ×1.1

EPIDE

218 ×1.0

138 ×0.8

PRM

Citations per year, relative to Ethan Kung Ethan Kung (= 1×) peers Alison M. Pouch

Countries citing papers authored by Ethan Kung

Since Specialization

Citations

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

Fields of papers citing papers by Ethan Kung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ethan Kung

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

Luraghi, Giulia, et al.. (2024). Shear Stress Quantification in Tissue Engineering Bioreactor Heart Valves: A Computational Approach. Journal of Functional Biomaterials. 15(3). 76–76.

Kung, Ethan, et al.. (2022). Plaque contact surface area and lumen volume predict stroke risk in extracranial carotid artery stenosis. Journal of Vascular Surgery. 76(2). 482–488. 3 indexed citations

Rodell, Christopher B., et al.. (2022). Tunable Blood Shunt for Neonates With Complex Congenital Heart Defects. Frontiers in Bioengineering and Biotechnology. 9. 734310–734310. 2 indexed citations

Kavarana, Minoo N., et al.. (2020). Target Flow-Pressure Operating Range for Designing a Failing Fontan Cavopulmonary Support Device. IEEE Transactions on Biomedical Engineering. 67(10). 2925–2933. 6 indexed citations

Kung, Ethan, Chiara Corsini, Alison L. Marsden, et al.. (2019). Multiscale Modeling of Superior Cavopulmonary Circulation: Hemi-Fontan and Bidirectional Glenn Are Equivalent. Seminars in Thoracic and Cardiovascular Surgery. 32(4). 883–892. 9 indexed citations

Kung, Ethan, et al.. (2019). Factors Affecting Cardiovascular Physiology in Cardiothoracic Surgery: Implications for Lumped-Parameter Modeling. Frontiers in Surgery. 6. 62–62. 5 indexed citations

Kung, Ethan, et al.. (2019). A Hybrid Experimental-Computational Modeling Framework for Cardiovascular Device Testing. Journal of Biomechanical Engineering. 141(5). 22 indexed citations

Hlavacek, Anthony M., Francesco Migliavacca, Ethan Kung, et al.. (2017). An interactive simulation tool for patient-specific clinical decision support in single-ventricle physiology. Journal of Thoracic and Cardiovascular Surgery. 155(2). 712–721. 21 indexed citations

Bruaene, Alexander Van De, Guido Claessen, André La Gerche, et al.. (2015). Effect of respiration on cardiac filling at rest and during exercise in Fontan patients: A clinical and computational modeling study. IJC Heart & Vasculature. 9. 100–108. 15 indexed citations

10.

Kahn, Andrew M., et al.. (2014). Thrombotic risk stratification using computational modeling in patients with coronary artery aneurysms following Kawasaki disease. Biomechanics and Modeling in Mechanobiology. 13(6). 1261–1276. 56 indexed citations

11.

Schiavazzi, Daniele E., Ethan Kung, Alison L. Marsden, et al.. (2014). Hemodynamic effects of left pulmonary artery stenosis after superior cavopulmonary connection: A patient-specific multiscale modeling study. Journal of Thoracic and Cardiovascular Surgery. 149(3). 689–696.e3. 32 indexed citations

12.

Corsini, Chiara, Catriona Baker, Giovanni Biglino, et al.. (2014). Integration of Clinical Data Collected at Different Times for Virtual Surgery in Single Ventricle Patients: A Case Study. Annals of Biomedical Engineering. 43(6). 1310–1320. 11 indexed citations

13.

Kung, Ethan, Andrew M. Kahn, Jane C. Burns, & Alison L. Marsden. (2014). In Vitro Validation of Patient-Specific Hemodynamic Simulations in Coronary Aneurysms Caused by Kawasaki Disease. Cardiovascular Engineering and Technology. 5(2). 189–201. 35 indexed citations

14.

Kung, Ethan, James C. Perry, Christopher K. Davis, et al.. (2014). Computational Modeling of Pathophysiologic Responses to Exercise in Fontan Patients. Annals of Biomedical Engineering. 43(6). 1335–1347. 14 indexed citations

15.

Lee, Juhyun, Mahdi Esmaily, Ethan Kung, et al.. (2013). Moving Domain Computational Fluid Dynamics to Interface with an Embryonic Model of Cardiac Morphogenesis. PLoS ONE. 8(8). e72924–e72924. 53 indexed citations

16.

Corsini, Chiara, Catriona Baker, Ethan Kung, et al.. (2013). An integrated approach to patient-specific predictive modeling for single ventricle heart palliation. Computer Methods in Biomechanics & Biomedical Engineering. 17(14). 1572–1589. 60 indexed citations

17.

Kung, Ethan, et al.. (2012). CFD-based Thrombotic Risk Assessment in Kawasaki Disease Patients with Coronary Artery Aneurysms. Bulletin of the American Physical Society. 1 indexed citations

18.

Kung, Ethan, Catriona Baker, Giovanni Biglino, et al.. (2012). Predictive modeling of the virtual Hemi-Fontan operation for second stage single ventricle palliation: Two patient-specific cases. Journal of Biomechanics. 46(2). 423–429. 62 indexed citations

19.

Kung, Ethan & Charles A. Taylor. (2010). Development of a Physical Windkessel Module to Re-Create In Vivo Vascular Flow Impedance for In Vitro Experiments. Cardiovascular Engineering and Technology. 2(1). 2–14. 33 indexed citations

20.

Rapoport, Alan M., SJ Tepper, Fred D. Sheftell, Ethan Kung, & Marcelo E. Bigal. (2006). Which triptan for which patient?. Neurological Sciences. 27(S2). s123–s129. 22 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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