Hyeyoung Min

3.5k total citations · 1 hit paper
80 papers, 2.8k citations indexed

About

Hyeyoung Min is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Hyeyoung Min has authored 80 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 25 papers in Cancer Research and 18 papers in Immunology. Recurrent topics in Hyeyoung Min's work include MicroRNA in disease regulation (18 papers), Immune Cell Function and Interaction (9 papers) and Ginseng Biological Effects and Applications (9 papers). Hyeyoung Min is often cited by papers focused on MicroRNA in disease regulation (18 papers), Immune Cell Function and Interaction (9 papers) and Ginseng Biological Effects and Applications (9 papers). Hyeyoung Min collaborates with scholars based in South Korea, United States and Japan. Hyeyoung Min's co-authors include Soowon Kang, Chang‐Zheng Chen, Sungroh Yoon, Mark M. Davis, Muthiah Manoharan, Peter Ebert, Lawrence O. Klein, Ravi Braich, Kyungtaek Im and Jisu Kim and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Blood.

In The Last Decade

Hyeyoung Min

76 papers receiving 2.7k citations

Hit Papers

miR-181a Is an Intrinsic Modulator of T Cell Sensitivity ... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyeyoung Min South Korea 22 1.8k 1.1k 683 280 227 80 2.8k
Kasthuri Natarajan India 10 826 0.5× 498 0.5× 582 0.9× 127 0.5× 132 0.6× 17 2.1k
Hsueh‐Fen Juan Taiwan 40 3.2k 1.8× 1.1k 1.0× 578 0.8× 144 0.5× 239 1.1× 165 4.8k
Pei‐Wen Hsiao Taiwan 31 1.8k 1.0× 394 0.4× 526 0.8× 206 0.7× 194 0.9× 78 3.4k
Santosh Kumar Singh India 17 1.4k 0.8× 509 0.5× 295 0.4× 113 0.4× 121 0.5× 84 2.8k
Fan Yang China 28 1.4k 0.8× 537 0.5× 415 0.6× 136 0.5× 123 0.5× 167 2.9k
Changlin Zhou China 35 1.6k 0.9× 260 0.2× 422 0.6× 262 0.9× 326 1.4× 108 2.9k
José Andrés Morgado‐Díaz Brazil 32 1.6k 0.9× 596 0.6× 307 0.4× 114 0.4× 427 1.9× 87 3.2k
D. Haouzi France 38 2.1k 1.2× 378 0.4× 976 1.4× 360 1.3× 122 0.5× 75 4.5k
Do‐Young Choi South Korea 22 1.4k 0.8× 532 0.5× 222 0.3× 110 0.4× 104 0.5× 54 2.3k
Pijush K. Das India 33 1.2k 0.7× 315 0.3× 564 0.8× 226 0.8× 211 0.9× 113 3.0k

Countries citing papers authored by Hyeyoung Min

Since Specialization
Citations

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

Fields of papers citing papers by Hyeyoung Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyeyoung Min

This figure shows the co-authorship network connecting the top 25 collaborators of Hyeyoung Min. A scholar is included among the top collaborators of Hyeyoung Min 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 Hyeyoung Min. Hyeyoung Min 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.
Min, Hyeyoung, et al.. (2024). Exploring the Potential of Glycolytic Modulation in Myeloid-Derived Suppressor Cells for Immunotherapy and Disease Management. Immune Network. 24(3). e26–e26. 6 indexed citations
2.
Min, Hyeyoung, et al.. (2024). The Emerging Threat of Micro- and Nanoplastics on the Maturation and Activity of Immune Cells. Biomolecules & Therapeutics. 33(1). 95–105. 7 indexed citations
3.
Kim, Jisu, et al.. (2024). 20(S)-ginsenoside Rg3 alleviates DSS-induced colitis by promoting ERK-dependent maturation of MDSCs into M2 macrophages. Biomedicine & Pharmacotherapy. 182. 117789–117789. 2 indexed citations
4.
Kim, Jisu, et al.. (2023). The Protective Role of Exosome-Derived MicroRNAs and Proteins from Human Breast Milk against Infectious Agents. Metabolites. 13(5). 635–635. 10 indexed citations
5.
Kim, Jun Hwan, Hyeyoung Min, Eun Sun Lee, et al.. (2023). Changes in microRNAs during Storage and Processing of Breast Milk. Metabolites. 13(2). 139–139. 2 indexed citations
6.
Kim, Jisu, et al.. (2023). Effects of caffeoylquinic acid analogs derived from aerial parts of Artemisia iwayomogi on adipogenesis. Food Science and Biotechnology. 32(9). 1215–1223. 2 indexed citations
7.
Kim, Hoon, et al.. (2021). Anti-inflammatory effects of Artemisia stechmanniana Besser extract on LPS-stimulated macrophages. Food and Agricultural Immunology. 32(1). 679–692. 3 indexed citations
8.
Lee, Byunghan, Hyeyoung Min, & Sungroh Yoon. (2018). MUGAN: multi-GPU accelerated AmpliconNoise server for rapid microbial diversity assessment. Bioinformatics. 37(11). 1562–1570. 1 indexed citations
9.
Lee, Taehoon, Sungmin Lee, Woo‐Young Sim, et al.. (2018). HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment. BMC Bioinformatics. 19(S1). 44–44. 13 indexed citations
10.
Kim, Jisu, Wonku Kang, & Hyeyoung Min. (2017). In Vitro Anti-Inflammatory Activity of Ilex cornuta Extract Mediated by Inhibition of Extracellular Signal-Regulated Kinase Phosphorylation. Journal of Medicinal Food. 20(10). 981–988. 9 indexed citations
12.
Kim, Jisu, et al.. (2017). Effects of ginsenosides on regulatory T cell differentiation. Food Science and Biotechnology. 27(1). 227–232. 17 indexed citations
13.
Im, Kyungtaek, Jiho Song, Young Taek Han, et al.. (2017). Identification of aminosulfonylarylisoxazole as microRNA-31 regulators. PLoS ONE. 12(8). e0182331–e0182331. 6 indexed citations
14.
Yu, Seunghak, Juho Kim, Hyeyoung Min, & Sungroh Yoon. (2014). Ensemble learning can significantly improve human microRNA target prediction. Methods. 69(3). 220–229. 16 indexed citations
15.
Kang, Soowon, et al.. (2014). MicroRNA-targeting therapeutics for hepatitis C. Archives of Pharmacal Research. 37(3). 299–305. 31 indexed citations
16.
Lee, Tae‐Hoon, Sungmin Lee, Woo‐Young Sim, et al.. (2013). Robust classification of DNA damage patterns in single cell gel electrophoresis. PubMed. 2013. 3666–3669. 3 indexed citations
17.
Min, Hyeyoung, et al.. (2013). GPU-based acceleration of an RNA tertiary structure prediction algorithm. Computers in Biology and Medicine. 43(8). 1011–1022. 8 indexed citations
18.
Han, Jung H., et al.. (2013). Antioxidative and anti-inflammatory activities of an ethanol extract from fig (Ficus carica) branches. Food Science and Biotechnology. 22(4). 1071–1075. 23 indexed citations
19.
Yoon, Sun Young, Ha‐Reum Lee, Joo Heon Kim, et al.. (2011). Thymosin β4 expression correlates with lymph node metastasis through hypoxia inducible factor-α induction in breast cancer.. PubMed. 25(1). 23–31. 18 indexed citations
20.
Min, Hyeyoung, et al.. (1999). Analysis of the Relationship between Cognitive Levels and Achievement of Science Process Skills by Practical Assessment. Journal of The Korean Association For Science Education. 19(2). 256–265.

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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