Bum‐Rak Choi

4.0k total citations
73 papers, 2.5k citations indexed

About

Bum‐Rak Choi is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Bum‐Rak Choi has authored 73 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Cardiology and Cardiovascular Medicine, 40 papers in Molecular Biology and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Bum‐Rak Choi's work include Cardiac electrophysiology and arrhythmias (56 papers), Ion channel regulation and function (29 papers) and Neuroscience and Neural Engineering (15 papers). Bum‐Rak Choi is often cited by papers focused on Cardiac electrophysiology and arrhythmias (56 papers), Ion channel regulation and function (29 papers) and Neuroscience and Neural Engineering (15 papers). Bum‐Rak Choi collaborates with scholars based in United States, United Kingdom and Japan. Bum‐Rak Choi's co-authors include Guy Salama, Tong Liu, Francis L. Burton, Tae Yun Kim, Linda C. Baker, Barry London, Gideon Koren, Gideon Koren, Zhilin Qu and Weiyan Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Bum‐Rak Choi

70 papers receiving 2.5k citations

Peers

Bum‐Rak Choi
Kenneth R. Laurita United States
Christian Bollensdorff United Kingdom
Francis L. Burton United Kingdom
Alexey V. Glukhov United States
Benjamin L. Prosser United States
Justus Anumonwo United States
Thomas J. Hund United States
Gregory E. Morley United States
Elena G. Tolkacheva United States
Erich Wettwer Germany
Kenneth R. Laurita United States
Bum‐Rak Choi
Citations per year, relative to Bum‐Rak Choi Bum‐Rak Choi (= 1×) peers Kenneth R. Laurita

Countries citing papers authored by Bum‐Rak Choi

Since Specialization
Citations

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

Fields of papers citing papers by Bum‐Rak Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bum‐Rak Choi. 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 Bum‐Rak Choi. The network helps show where Bum‐Rak Choi may publish in the future.

Co-authorship network of co-authors of Bum‐Rak Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Bum‐Rak Choi. A scholar is included among the top collaborators of Bum‐Rak Choi 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 Bum‐Rak Choi. Bum‐Rak Choi 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.
Hamilton, Shanna, Radmila Terentyeva, Roland Veress, et al.. (2025). Increased Intermembrane Space [Ca 2+ ] Drives Mitochondrial Structural Damage in CPVT. Circulation Research. 137(12). 1385–1403.
2.
Göksülük, Dinçer, et al.. (2024). ML-GAP: machine learning-enhanced genomic analysis pipeline using autoencoders and data augmentation. Frontiers in Genetics. 15. 1442759–1442759. 4 indexed citations
3.
Soepriatna, Arvin H., Allison Navarrete-Welton, Tae Yun Kim, et al.. (2023). Action potential metrics and automated data analysis pipeline for cardiotoxicity testing using optically mapped hiPSC-derived 3D cardiac microtissues. PLoS ONE. 18(2). e0280406–e0280406. 7 indexed citations
4.
Navarrete-Welton, Allison, Tae Yun Kim, Peter Bronk, et al.. (2023). Abstract 12241: Low-Efficiency Gene Editing is Capable of Suppressing Arrhythmogenesis in Long QT Syndrome Type II: Computer Simulation Study. Circulation. 148(Suppl_1). 1 indexed citations
5.
Kant, Rajeev J., Arvin H. Soepriatna, Sharif A. Sabe, et al.. (2023). One Billion hiPSC-Cardiomyocytes: Upscaling Engineered Cardiac Tissues to Create High Cell Density Therapies for Clinical Translation in Heart Regeneration. Bioengineering. 10(5). 587–587. 11 indexed citations
6.
Soepriatna, Arvin H., et al.. (2021). Human Atrial Cardiac Microtissues for Chamber-Specific Arrhythmic Risk Assessment. Cellular and Molecular Bioengineering. 14(5). 441–457. 7 indexed citations
7.
Kim, Tae Yun, Fabiola Munarin, Arvin H. Soepriatna, et al.. (2021). A predictive in vitro risk assessment platform for pro-arrhythmic toxicity using human 3D cardiac microtissues. Scientific Reports. 11(1). 10228–10228. 25 indexed citations
8.
Kim, Tae Yun, et al.. (2020). Human Cardiac Fibroblast Number and Activation State Modulate Electromechanical Function of hiPSC-Cardiomyocytes in Engineered Myocardium. Stem Cells International. 2020. 1–16. 17 indexed citations
9.
Kim, Tae Yun, Anatoli Y. Kabakov, Radmila Terentyeva, et al.. (2020). Mutations in KCNE1 Promote Cardiac Alternans in Long QT Syndrome Type 5 Rabbits. Biophysical Journal. 118(3). 102a–102a. 1 indexed citations
10.
Bronk, Peter, Tae Yun Kim, Iuliia Polina, et al.. (2020). Impact of ISK Voltage and Ca2+/Mg2+-Dependent Rectification on Cardiac Repolarization. Biophysical Journal. 119(3). 690–704. 6 indexed citations
11.
Terentyev, Dmitry, et al.. (2018). NCX-Mediated Subcellular Ca2+ Dynamics Underlying Early Afterdepolarizations in LQT2 Cardiomyocytes. Biophysical Journal. 115(6). 1019–1032. 15 indexed citations
12.
Munarin, Fabiola, et al.. (2017). Laser-Etched Designs for Molding Hydrogel-Based Engineered Tissues. Tissue Engineering Part C Methods. 23(5). 311–321. 30 indexed citations
13.
Hwang, Hye Jin, Woochul Chang, Byeong‐Wook Song, et al.. (2012). Antiarrhythmic Potential of Mesenchymal Stem Cell Is Modulated by Hypoxic Environment. Journal of the American College of Cardiology. 60(17). 1698–1706. 40 indexed citations
14.
Ziv, Ohad, Eduardo H. Morales, Yejia Song, et al.. (2009). Origin of complex behaviour of spatially discordant alternans in a transgenic rabbit model of type 2 long QT syndrome. The Journal of Physiology. 587(19). 4661–4680. 43 indexed citations
15.
16.
Choi, Bum‐Rak, Woncheol Jang, & Guy Salama. (2007). Spatially discordant voltage alternans cause wavebreaks in ventricular fibrillation. Heart Rhythm. 4(8). 1057–1068. 42 indexed citations
17.
Salama, Guy & Bum‐Rak Choi. (2007). Imaging ventricular fibrillation. Journal of Electrocardiology. 40(6). S56–S61. 15 indexed citations
18.
Hwang, Seong Min, Bum‐Rak Choi, & Guy Salama. (2006). Monte Carlo Simulation of 3D Mapping of Cardiac Electrical Activity with Spinning Slit Confocal Optics. PubMed. 2006. 1093–1097. 2 indexed citations
19.
Choi, Bum‐Rak, William J. Hatton, Joseph R. Hume, Tong Liu, & Guy Salama. (2006). Low osmolarity transforms ventricular fibrillation from complex to highly organized, with a dominant high-frequency source. Heart Rhythm. 3(10). 1210–1220. 13 indexed citations
20.
Liu, Tong, Bum‐Rak Choi, Milou‐Daniel Drici, & Guy Salama. (2005). Sex Modulates the Arrhythmogenic Substrate in Prepubertal Rabbit Hearts with Long QT 2. Journal of Cardiovascular Electrophysiology. 16(5). 516–524. 27 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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