Heeyoung Seok

3.0k total citations · 1 hit paper
27 papers, 2.4k citations indexed

About

Heeyoung Seok is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Heeyoung Seok has authored 27 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Cancer Research and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Heeyoung Seok's work include MicroRNA in disease regulation (10 papers), RNA Research and Splicing (6 papers) and Circular RNAs in diseases (5 papers). Heeyoung Seok is often cited by papers focused on MicroRNA in disease regulation (10 papers), RNA Research and Splicing (6 papers) and Circular RNAs in diseases (5 papers). Heeyoung Seok collaborates with scholars based in South Korea, United States and China. Heeyoung Seok's co-authors include Zhan‐Peng Huang, Da‐Zhi Wang, Thomas E. Callis, Mariko Tatsuguchi, Jian‐Fu Chen, Xiao Hu, Jinghai Chen, Masaharu Kataoka, Sung Wook and Eun-Sook Jang and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Heeyoung Seok

26 papers receiving 2.3k citations

Hit Papers

MicroRNA-208a is a regula... 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heeyoung Seok South Korea 15 2.0k 1.5k 420 206 101 27 2.4k
Zhan‐Peng Huang China 22 2.4k 1.2× 1.7k 1.2× 584 1.4× 312 1.5× 159 1.6× 47 3.1k
Mariko Tatsuguchi United States 8 1.4k 0.7× 1.1k 0.8× 282 0.7× 130 0.6× 68 0.7× 10 1.7k
Daniel Quiat United States 8 1.1k 0.6× 679 0.5× 211 0.5× 97 0.5× 120 1.2× 14 1.4k
Antonio Díez‐Juan Spain 21 1.1k 0.6× 567 0.4× 214 0.5× 260 1.3× 74 0.7× 38 1.9k
K. Y. Shan China 22 2.1k 1.0× 1.7k 1.2× 105 0.3× 175 0.8× 71 0.7× 49 2.6k
Silvia Martı́n-Puig Spain 16 1.8k 0.9× 424 0.3× 310 0.7× 939 4.6× 227 2.2× 22 2.3k
Narasimhaswamy S. Belaguli United States 24 1.7k 0.9× 350 0.2× 447 1.1× 240 1.2× 169 1.7× 37 2.1k
Priyatansh Gurha United States 23 1.1k 0.6× 353 0.2× 572 1.4× 75 0.4× 41 0.4× 44 1.7k
Roberto Papait Italy 19 1.5k 0.8× 295 0.2× 380 0.9× 371 1.8× 85 0.8× 37 2.0k
Yoji Kojima Japan 17 1.6k 0.8× 401 0.3× 148 0.4× 176 0.9× 29 0.3× 34 1.9k

Countries citing papers authored by Heeyoung Seok

Since Specialization
Citations

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

Fields of papers citing papers by Heeyoung Seok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heeyoung Seok

This figure shows the co-authorship network connecting the top 25 collaborators of Heeyoung Seok. A scholar is included among the top collaborators of Heeyoung Seok 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 Heeyoung Seok. Heeyoung Seok 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.
Kim, Eun Na, Heeyoung Seok, Jiwon Koh, et al.. (2025). Multiplexed imaging-driven single-cell analysis of abdominal aortic aneurysm according to C-reactive protein deposition. Translational research. 282. 14–30.
2.
Yun, Yejin, Won Hoon Choi, Heeyoung Seok, et al.. (2024). CRISPR-based editing strategies to rectify EYA1 complex genomic rearrangement linked to haploinsufficiency. Molecular Therapy — Nucleic Acids. 35(2). 102199–102199. 3 indexed citations
3.
Ahn, Soo Hyun, Yoonhyuk Jang, Bum‐Sup Jang, et al.. (2024). Multi-omic insights into molecular mechanism and therapeutic targets in spinocerebellar ataxia type 7. Molecular Therapy — Nucleic Acids. 36(1). 102414–102414. 1 indexed citations
4.
Lee, Sang‐Yeon, Min Young Kim, Jin Hee Han, et al.. (2023). Ramifications of POU4F3 variants associated with autosomal dominant hearing loss in various molecular aspects. Scientific Reports. 13(1). 12584–12584. 7 indexed citations
5.
Yun, Yejin, Sang Soo Park, Soyoung Lee, et al.. (2023). Expanding Genotype–Phenotype Correlation of CLCNKA and CLCNKB Variants Linked to Hearing Loss. International Journal of Molecular Sciences. 24(23). 17077–17077. 3 indexed citations
6.
Oh, Jin-Hee, Gi Beom Kim, & Heeyoung Seok. (2022). Implication of microRNA as a potential biomarker of myocarditis. Clinical and Experimental Pediatrics. 65(5). 230–238. 7 indexed citations
7.
Lee, Jin Woo, Jin Hur, Yoo‐Wook Kwon, et al.. (2021). KAI1(CD82) is a key molecule to control angiogenesis and switch angiogenic milieu to quiescent state. Journal of Hematology & Oncology. 14(1). 148–148. 33 indexed citations
8.
Seok, Heeyoung & Jin-Hee Oh. (2021). Hypertrophic Cardiomyopathy in Infants from the Perspective of Cardiomyocyte Maturation. Korean Circulation Journal. 51(9). 733–733. 10 indexed citations
9.
Seok, Heeyoung, et al.. (2020). Position-specific oxidation of miR-1 encodes cardiac hypertrophy. Nature. 584(7820). 279–285. 101 indexed citations
10.
Guo, Haipeng, Yao Wei Lu, Zhiqiang Lin, et al.. (2020). Intercalated disc protein Xinβ is required for Hippo-YAP signaling in the heart. Nature Communications. 11(1). 4666–4666. 21 indexed citations
11.
Nie, Mao, et al.. (2016). MicroRNA-155 facilitates skeletal muscle regeneration by balancing pro- and anti-inflammatory macrophages. Cell Death and Disease. 7(6). e2261–e2261. 51 indexed citations
12.
Seok, Heeyoung, Eun-Sook Jang, & Sung Wook. (2016). Rationally designed siRNAs without miRNA-like off-target repression. BMB Reports. 49(3). 135–136. 15 indexed citations
13.
Seok, Heeyoung, et al.. (2015). Abasic pivot substitution harnesses target specificity of RNA interference. Nature Communications. 6(1). 10154–10154. 41 indexed citations
14.
Huang, Zhan‐Peng, Heeyoung Seok, Bin Zhou, et al.. (2012). CIP, a Cardiac Isl1-Interacting Protein, Represses Cardiomyocyte Hypertrophy. Circulation Research. 110(6). 818–830. 27 indexed citations
15.
Seok, Heeyoung, Mariko Tatsuguchi, Thomas E. Callis, et al.. (2011). miR-155 Inhibits Expression of the MEF2A Protein to Repress Skeletal Muscle Differentiation. Journal of Biological Chemistry. 286(41). 35339–35346. 81 indexed citations
16.
Seok, Heeyoung & Da‐Zhi Wang. (2010). The Emerging Role of MicroRNAs as a Therapeutic Target for Cardiovascular Disease. BioDrugs. 24(3). 147–155. 7 indexed citations
17.
Callis, Thomas E., Kumar Pandya, Heeyoung Seok, et al.. (2009). MicroRNA-208a is a regulator of cardiac hypertrophy and conduction in mice. Journal of Clinical Investigation. 119(9). 2772–2786. 679 indexed citations breakdown →
18.
Tatsuguchi, Mariko, Heeyoung Seok, Thomas E. Callis, et al.. (2007). Expression of microRNAs is dynamically regulated during cardiomyocyte hypertrophy. Journal of Molecular and Cellular Cardiology. 42(6). 1137–1141. 361 indexed citations
19.
Park, Il‐Seon, et al.. (2004). Rearrangement of tryptophan residues in caspase-3 active site upon activation. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1700(1). 5–9. 6 indexed citations
20.
Kyoung, Minjoung, et al.. (2002). Probing the caspase-3 active site by fluorescence lifetime measurements. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1598(1-2). 74–79. 7 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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