Dongtak Jeong

3.8k total citations
55 papers, 2.7k citations indexed

About

Dongtak Jeong is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Dongtak Jeong has authored 55 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 23 papers in Cardiology and Cardiovascular Medicine and 7 papers in Genetics. Recurrent topics in Dongtak Jeong's work include Cardiac electrophysiology and arrhythmias (8 papers), Viral Infections and Immunology Research (7 papers) and Cardiac Fibrosis and Remodeling (7 papers). Dongtak Jeong is often cited by papers focused on Cardiac electrophysiology and arrhythmias (8 papers), Viral Infections and Immunology Research (7 papers) and Cardiac Fibrosis and Remodeling (7 papers). Dongtak Jeong collaborates with scholars based in United States, South Korea and Germany. Dongtak Jeong's co-authors include Roger J. Hajjar, Woo Jin Park, Changwon Kho, Ah Young Lee, Antoine H. Chaanine, Jae Gyun Oh, Djamel Lebeche, Shinichi Mitsuyama, Eddy Kizana and Kenneth Fish and has published in prestigious journals such as Nature, Circulation and Nature Communications.

In The Last Decade

Dongtak Jeong

53 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongtak Jeong United States 24 2.0k 1.0k 487 369 203 55 2.7k
Changwon Kho United States 21 1.5k 0.8× 793 0.8× 351 0.7× 195 0.5× 123 0.6× 40 2.0k
Yan‐Shan Dai United States 20 2.0k 1.0× 838 0.8× 272 0.6× 379 1.0× 124 0.6× 37 2.6k
Mauricio Rojas United States 26 1.7k 0.9× 795 0.8× 801 1.6× 361 1.0× 148 0.7× 42 2.8k
Hind Lal United States 30 1.4k 0.7× 992 1.0× 197 0.4× 307 0.8× 217 1.1× 57 2.4k
Allen J. York United States 27 2.1k 1.1× 1.3k 1.3× 162 0.3× 458 1.2× 137 0.7× 37 2.9k
Il‐man Kim United States 33 2.7k 1.4× 506 0.5× 1.2k 2.5× 472 1.3× 250 1.2× 83 3.5k
Hadi Khalil United States 13 1.6k 0.8× 1.4k 1.4× 245 0.5× 769 2.1× 117 0.6× 20 2.7k
Rabea Hinkel Germany 27 1.3k 0.7× 660 0.7× 364 0.7× 587 1.6× 96 0.5× 82 2.4k
Catherine Monnot France 25 1.3k 0.7× 958 0.9× 517 1.1× 209 0.6× 82 0.4× 43 2.4k
Tobias G. Schips United States 18 940 0.5× 747 0.7× 238 0.5× 259 0.7× 180 0.9× 20 1.7k

Countries citing papers authored by Dongtak Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Dongtak Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongtak Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Dongtak Jeong. A scholar is included among the top collaborators of Dongtak Jeong 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 Dongtak Jeong. Dongtak Jeong 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
3.
Choe, Nakwon, Anna Jeong, Hosouk Joung, et al.. (2025). Circular RNA circAtxn10 regulates skeletal muscle cell differentiation by targeting miR-143-3p and Chrna1. Korean Journal of Physiology and Pharmacology. 29(5). 637–648.
4.
Nguyen, Mai Tuyet, Young‐Kook Kim, Hyun Kook, et al.. (2022). The matricellular protein CCN5 induces apoptosis in myofibroblasts through SMAD7-mediated inhibition of NFκB. PLoS ONE. 17(8). e0269735–e0269735. 8 indexed citations
5.
Moon, Hyunji, Juyeon Lee, Dae-Hee Lee, et al.. (2021). Apoptotic Cells Trigger Calcium Entry in Phagocytes by Inducing the Orai1-STIM1 Association. Cells. 10(10). 2702–2702. 4 indexed citations
6.
Oh, Jae Gyun, Philyoung Lee, Ronald E. Gordon, et al.. (2020). Analysis of extracellular vesicle miRNA profiles in heart failure. Journal of Cellular and Molecular Medicine. 24(13). 7214–7227. 17 indexed citations
7.
Oh, Jae Gyun, Shin Watanabe, Ah Young Lee, et al.. (2018). miR-146a Suppresses SUMO1 Expression and Induces Cardiac Dysfunction in Maladaptive Hypertrophy. Circulation Research. 123(6). 673–685. 72 indexed citations
8.
Hajjar, Roger J., et al.. (2018). Conventional Method of Transverse Aortic Constriction in Mice. Methods in molecular biology. 1816. 183–193. 11 indexed citations
9.
Liang, Yaxuan, Prabhu Mathiyalagan, Erik Kohlbrenner, et al.. (2017). Abstract 15439: AAV-Containing Exosomes as a Novel Vector to Improve AAV-Mediated Myocardial Gene Delivery in Resistance to Neutralizing Antibody. Circulation. 5 indexed citations
10.
Kim, Jooyeon, Seung Hee Lee, Jang‐Soo Chun, et al.. (2016). Cytokine-Like 1 Regulates Cardiac Fibrosis via Modulation of TGF-β Signaling. PLoS ONE. 11(11). e0166480–e0166480. 22 indexed citations
11.
Jeong, Dongtak, Yan Li, Dong Kwon Yang, et al.. (2016). Matricellular Protein CCN5 Reverses Established Cardiac Fibrosis. Journal of the American College of Cardiology. 67(13). 1556–1568. 97 indexed citations
12.
Lee, Ah Young, Dongtak Jeong, Shinichi Mitsuyama, et al.. (2014). The Role of SUMO-1 in Cardiac Oxidative Stress and Hypertrophy. Antioxidants and Redox Signaling. 21(14). 1986–2001. 60 indexed citations
13.
Chudnovskiy, Aleksey, Dong Kwon Yang, Dongtak Jeong, et al.. (2014). Alternatively Spliced Tissue Factor promotes plaque progression, inflammation and angiogenesis in experimental atherosclerosis. Circulation. 130. 1 indexed citations
14.
Wahlquist, Christine, Dongtak Jeong, Agustin Rojas‐Muñoz, et al.. (2014). Inhibition of miR-25 improves cardiac contractility in the failing heart. Nature. 508(7497). 531–535. 326 indexed citations
15.
Giannarelli, Chiara, Matilde Alique, Dong Kwon Yang, et al.. (2014). Alternatively Spliced Tissue Factor Promotes Plaque Angiogenesis Through the Activation of Hypoxia-Inducible Factor-1α and Vascular Endothelial Growth Factor Signaling. Circulation. 130(15). 1274–1286. 42 indexed citations
16.
Karakikes, Ioannis, Antoine H. Chaanine, Soojeong Kang, et al.. (2013). Therapeutic Cardiac‐Targeted Delivery of miR‐1 Reverses Pressure Overload–Induced Cardiac Hypertrophy and Attenuates Pathological Remodeling. Journal of the American Heart Association. 2(2). e000078–e000078. 224 indexed citations
17.
Chaanine, Antoine H., Dongtak Jeong, Liang Li, et al.. (2012). JNK modulates FOXO3a for the expression of the mitochondrial death and mitophagy marker BNIP3 in pathological hypertrophy and in heart failure. Cell Death and Disease. 3(2). e265–e265. 130 indexed citations
18.
Oh, Jae Gyun, Seung Pil Jang, Dong Kwon Yang, et al.. (2012). Decoy peptides targeted to protein phosphatase 1 inhibit dephosphorylation of phospholamban in cardiomyocytes. Journal of Molecular and Cellular Cardiology. 56. 63–71. 16 indexed citations
19.
Lee, Minah, Hyeseon Cha, Jooyeon Kim, et al.. (2010). The opposing effects of CCN2 and CCN5 on the development of cardiac hypertrophy and fibrosis. Journal of Molecular and Cellular Cardiology. 49(2). 294–303. 118 indexed citations
20.
Lee, Seung Hee, Dong Kwon Yang, Bo Youn Choi, et al.. (2009). The transcription factor Eya2 prevents pressure overload-induced adverse cardiac remodeling. Journal of Molecular and Cellular Cardiology. 46(4). 596–605. 18 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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