Eugene Chung

5.4k total citations · 2 hit papers
45 papers, 3.5k citations indexed

About

Eugene Chung is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Eugene Chung has authored 45 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cardiology and Cardiovascular Medicine, 6 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Eugene Chung's work include Cardiac pacing and defibrillation studies (32 papers), Cardiac Arrhythmias and Treatments (24 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Eugene Chung is often cited by papers focused on Cardiac pacing and defibrillation studies (32 papers), Cardiac Arrhythmias and Treatments (24 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Eugene Chung collaborates with scholars based in United States, Netherlands and Italy. Eugene Chung's co-authors include Martin St. John Sutton, William T. Abraham, Stefano Ghio, Luigi Tavazzi, Jeroen J. Bax, Christophe Leclercq, John Merlino, Petros Nihoyannopoulos, Cheuk‐Man Yu and Angel R. León 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

Eugene Chung

44 papers receiving 3.5k 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.

Results of the Predictors of Response to CRT (PROSPECT) Trial

2008 1.4k citations Eugene Chung, Angel R. León et al. profile →
Biventricular Pacing for Atrioventricular Block and Systolic Dysfunction

2013 495 citations Anne B. Curtis, Seth J. Worley et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eugene Chung United States	20	3.2k	462	445	285	199	45	3.5k
Lars Lickfett Germany	23	1.9k 0.6×	341 0.7×	213 0.5×	45 0.2×	61 0.3×	65	2.1k
A Calciati Italy	20	1.0k 0.3×	75 0.2×	424 1.0×	184 0.6×	167 0.8×	72	1.8k
Lothar Faber Germany	29	2.7k 0.8×	312 0.7×	435 1.0×	53 0.2×	1.1k 5.3×	145	3.8k
Gilles Barone‐Rochette France	16	825 0.3×	313 0.7×	380 0.9×	18 0.1×	607 3.1×	76	1.5k
Elżbieta Polska Austria	24	208 0.1×	874 1.9×	88 0.2×	212 0.7×	243 1.2×	51	1.8k
Kazuo Sakamoto Japan	18	514 0.2×	186 0.4×	207 0.5×	70 0.2×	33 0.2×	72	855
Claudia Fellner Germany	18	202 0.1×	178 0.4×	86 0.2×	116 0.4×	412 2.1×	38	874
Markus Resch Germany	16	449 0.1×	83 0.2×	112 0.3×	57 0.2×	96 0.5×	34	763
J. Sanders United States	15	776 0.2×	54 0.1×	226 0.5×	24 0.1×	111 0.6×	19	1.2k
Ralf Dittrich Germany	21	239 0.1×	54 0.1×	172 0.4×	346 1.2×	167 0.8×	48	992

Countries citing papers authored by Eugene Chung

Since Specialization

Citations

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

Fields of papers citing papers by Eugene Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Chung

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

Henry, Timothy D., Eugene Chung, Lothar Roessig, et al.. (2025). GenePHIT Phase 2 Study Design: A Double Blind, Placebo-controlled Trial To Assess Efficacy, Safety, And Tolerability Of Ab-1002 Gene Therapy In Adults With Heart Failure. Journal of Cardiac Failure. 31(1). 234–234. 2 indexed citations

Henry, Timothy D., Eugene Chung, M.F. Alvisi, et al.. (2024). GenePHIT phase 2 study design: a double blind, placebo-controlled trial to assess efficacy, safety, and tolerability of AB-1002 gene therapy in adults with heart failure. European Heart Journal. 45(Supplement_1). 1 indexed citations

Singh, Jagmeet, Yong‐Mei Cha, Maurizio Lunati, et al.. (2020). Real‐world behavior of CRT pacing using the AdaptivCRT algorithm on patient outcomes: Effect on mortality and atrial fibrillation incidence. Journal of Cardiovascular Electrophysiology. 31(4). 825–833. 21 indexed citations

Chung, Eugene, John Rickard, Xiaoxiao Lu, et al.. (2020). Real-World Economic Burden Among Patients With And Without Heart Failure Worsening After Cardiac Resynchronization Therapy. Advances in Therapy. 38(1). 441–467. 3 indexed citations

O’Brien, Thomas, Myung Soo Park, Jong‐Chan Youn, & Eugene Chung. (2019). The Past, Present and Future of Cardiac Resynchronization Therapy. Korean Circulation Journal. 49(5). 384–384. 10 indexed citations

Hernández‐Madrid, Antonio, et al.. (2019). <p>Heart failure hospitalization reduction and cost savings achieved by improved delivery of effective biventricular pacing: economic implications of the OLE study under the US setting</p>. ClinicoEconomics and Outcomes Research. Volume 11. 385–393. 6 indexed citations

Truong, Vien T., Hoang C.B. Nguyen, Wojciech Mazur, et al.. (2017). Microbiological profile and risk factors for in-hospital mortality of infective endocarditis in tertiary care hospitals of south Vietnam. PLoS ONE. 12(12). e0189421–e0189421. 16 indexed citations

Egnaczyk, Gregory F. & Eugene Chung. (2013). The Relationship Between Cardiac Resynchronization Therapy and Diastolic Function. Current Heart Failure Reports. 11(1). 64–69. 7 indexed citations

Curtis, Anne B., Seth J. Worley, Philip B. Adamson, et al.. (2013). Biventricular Pacing for Atrioventricular Block and Systolic Dysfunction. New England Journal of Medicine. 368(17). 1585–1593. 495 indexed citations breakdown →

10.

Singh, Jagmeet P., et al.. (2013). Clinical response with adaptive CRT algorithm compared with CRT with echocardiography-optimized atrioventricular delay: a retrospective analysis of multicentre trials. EP Europace. 15(11). 1622–1628. 40 indexed citations

11.

Pires, Luís A., Stefano Ghio, Eugene Chung, et al.. (2011). Relationship Between Acute Improvement in Left Ventricular Function to 6-Month Outcomes After Cardiac Resynchronization Therapy in Patients With Chronic Heart Failure. Congestive Heart Failure. 17(2). 64–69. 7 indexed citations

12.

Hor, Kan N., Janaka Wansapura, Hussein R. Al‐Khalidi, et al.. (2011). Presence of mechanical dyssynchrony in duchenne muscular dystrophy. Journal of Cardiovascular Magnetic Resonance. 13(1). 12–12. 29 indexed citations

13.

Chung, Eugene, Rodolphe P. Katra, Stefano Ghio, et al.. (2010). Cardiac Resynchronization Therapy May Benefit Patients with Left Ventricular Ejection Fraction >35%: A PROSPECT Trial Substudy. European Journal of Heart Failure. 12(6). 581–587. 84 indexed citations

14.

Chan, Paul S., Taiyeb Khumri, Eugene Chung, et al.. (2010). Echocardiographic Dyssynchrony and Health Status Outcomes From Cardiac Resynchronization Therapy. JACC. Cardiovascular imaging. 3(5). 451–460. 19 indexed citations

15.

Hor, Kan N., William Gottliebson, Christopher Carson, et al.. (2010). Comparison of Magnetic Resonance Feature Tracking for Strain Calculation With Harmonic Phase Imaging Analysis. JACC. Cardiovascular imaging. 3(2). 144–151. 315 indexed citations

16.

Bommel, Rutger J. van, J. J. Bax, William T. Abraham, et al.. (2009). Characteristics of heart failure patients associated with good and poor response to cardiac resynchronization therapy: a PROSPECT (Predictors of Response to CRT) sub-analysis. European Heart Journal. 30(20). 2470–2477. 161 indexed citations

17.

Mazur, Wojciech & Eugene Chung. (2009). The role of echocardiography in cardiac resynchronization therapy. Current Heart Failure Reports. 6(1). 37–43. 1 indexed citations

18.

Chow, Theodore, Dean J. Kereiakes, Cheryl Bartone, et al.. (2006). Microvolt T-Wave Alternans Identifies Patients With Ischemic Cardiomyopathy Who Benefit From Implantable Cardioverter-Defibrillator Therapy. Journal of the American College of Cardiology. 49(1). 50–58. 73 indexed citations

19.

Chow, Theodore, Dean J. Kereiakes, Cheryl Bartone, et al.. (2006). Prognostic Utility of Microvolt T-Wave Alternans in Risk Stratification of Patients With Ischemic Cardiomyopathy. Journal of the American College of Cardiology. 47(9). 1820–1827. 148 indexed citations

20.

Yu, Cheuk‐Man, William T. Abraham, Jeroen J. Bax, et al.. (2005). Predictors of response to cardiac resynchronization therapy (PROSPECT)—study design. American Heart Journal. 149(4). 600–605. 156 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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