Hyung Won Ryu

5.5k total citations
182 papers, 4.6k citations indexed

About

Hyung Won Ryu is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Hyung Won Ryu has authored 182 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 54 papers in Plant Science and 26 papers in Biochemistry. Recurrent topics in Hyung Won Ryu's work include Natural product bioactivities and synthesis (41 papers), Phytochemistry and Biological Activities (30 papers) and Phytochemicals and Antioxidant Activities (26 papers). Hyung Won Ryu is often cited by papers focused on Natural product bioactivities and synthesis (41 papers), Phytochemistry and Biological Activities (30 papers) and Phytochemicals and Antioxidant Activities (26 papers). Hyung Won Ryu collaborates with scholars based in South Korea, United States and China. Hyung Won Ryu's co-authors include Ki Hun Park, Sei‐Ryang Oh, Marcus J. C. Long, Heung Joo Yuk, Young Bae Ryu, Woo Song Lee, Woo Duck Seo, Jung Keun Cho, Hoon Kim and Myung-Gyun Kang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

Hyung Won Ryu

174 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyung Won Ryu South Korea 38 1.9k 1.1k 704 688 591 182 4.6k
Karel Šmejkal Czechia 36 1.9k 1.0× 1.0k 0.9× 732 1.0× 373 0.5× 649 1.1× 125 4.0k
Lie‐Fen Shyur Taiwan 38 1.9k 1.0× 1.3k 1.2× 452 0.6× 367 0.5× 587 1.0× 120 4.7k
MinKyun Na South Korea 43 3.2k 1.6× 1.4k 1.3× 1.1k 1.5× 608 0.9× 588 1.0× 245 5.9k
Kasi Pandima Devi India 40 2.1k 1.1× 1.0k 0.9× 755 1.1× 379 0.6× 653 1.1× 118 5.9k
Young‐Sam Keum South Korea 28 3.2k 1.7× 696 0.6× 520 0.7× 500 0.7× 532 0.9× 59 5.1k
Apichart Suksamrarn Thailand 42 2.9k 1.5× 1.7k 1.5× 998 1.4× 936 1.4× 497 0.8× 299 6.8k
Junei Kinjo Japan 37 2.9k 1.5× 1.7k 1.5× 494 0.7× 741 1.1× 650 1.1× 206 5.6k
Muriel Cuendet Switzerland 36 2.7k 1.4× 1.0k 0.9× 617 0.9× 851 1.2× 719 1.2× 119 5.2k
Yumiko Kimura Japan 38 2.4k 1.2× 1.1k 1.0× 848 1.2× 462 0.7× 580 1.0× 100 4.4k
Yu‐Chih Liang Taiwan 44 2.8k 1.4× 812 0.7× 879 1.2× 381 0.6× 1.1k 1.8× 136 6.4k

Countries citing papers authored by Hyung Won Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Hyung Won Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyung Won Ryu. 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 Hyung Won Ryu. The network helps show where Hyung Won Ryu may publish in the future.

Co-authorship network of co-authors of Hyung Won Ryu

This figure shows the co-authorship network connecting the top 25 collaborators of Hyung Won Ryu. A scholar is included among the top collaborators of Hyung Won Ryu 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 Hyung Won Ryu. Hyung Won Ryu 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, In S., Doo-Young Kim, Hyoung‐Geun Kim, et al.. (2024). Selection of chemical marker for Cnidii Rhizoma by Gyeongbuk production area and harvest time using UPLC-QTOF/MS and multivariate statistical analysis techniques. Journal of Applied Biological Chemistry. 67. 1 indexed citations
2.
Park, Mi Hyeon, Wisurumuni Arachchilage Hasitha Maduranga Karunarathne, Yung Hyun Choi, et al.. (2024). Inhibition of α-melanocyte-stimulating hormone-induced melanogenesis and molecular mechanisms by polyphenol-enriched fraction of Tagetes erecta L. flower. Phytomedicine. 126. 155442–155442. 10 indexed citations
5.
Jung, Sunin, So-Yeun Woo, Mi Hyeon Park, et al.. (2023). Potent inhibition of human tyrosinase inhibitor by verproside from the whole plant of Pseudolysimachion rotundum var. subintegrum. Journal of Enzyme Inhibition and Medicinal Chemistry. 38(1). 2252198–2252198. 2 indexed citations
6.
Kim, Doo Young, Su‐Yeon Lee, In S. Kim, et al.. (2023). Comparisons of phenolic compounds and antioxidant activities during different growth stages in Artemisia gmelinii Weber ex Stechm with UPLC-QTOF/MS based on a metabolomics approach. Industrial Crops and Products. 202. 116999–116999. 9 indexed citations
7.
Yuk, Heung Joo, Hyung Won Ryu, & Dong-Seon Kim. (2023). Potent Xanthine Oxidase Inhibitory Activity of Constituents of Agastache rugosa (Fisch. and C.A.Mey.) Kuntze. Foods. 12(3). 573–573. 13 indexed citations
8.
Hyun, Jimin, Mi Hyeon Park, Jin‐Hoe Hur, et al.. (2021). Vernicia fordii (Hemsl.) Airy Shaw extract stimulates insulin secretion in pancreatic β-cells and improves insulin sensitivity in diabetic mice. Journal of Ethnopharmacology. 278. 114238–114238. 4 indexed citations
9.
Park, Soojin, Tae‐Hyoun Kim, Hyun‐Jae Jang, et al.. (2020). Tilianin attenuates HDM-induced allergic asthma by suppressing Th2-immune responses via downregulation of IRF4 in dendritic cells. Phytomedicine. 80. 153392–153392. 17 indexed citations
10.
Kim, Seong‐Man, Hyung Won Ryu, Ok‐Kyoung Kwon, et al.. (2020). Callicarpa japonica Thunb. ameliorates allergic airway inflammation by suppressing NF-κB activation and upregulating HO-1 expression. Journal of Ethnopharmacology. 267. 113523–113523. 17 indexed citations
12.
Jeong, Hyejeong, Yang Hee Jo, Miri Choi, et al.. (2019). Improvement of spinal muscular atrophy via correction of the SMN2 splicing defect by Brucea javanica (L.) Merr. extract and Bruceine D. Phytomedicine. 65. 153089–153089. 9 indexed citations
14.
Lee, Jiyon, Thu‐Huyen Pham, Yesol Bak, et al.. (2019). Calotropis gigantea extract induces apoptosis through extrinsic/intrinsic pathways and reactive oxygen species generation in A549 and NCI-H1299 non-small cell lung cancer cells. BMC Complementary and Alternative Medicine. 19(1). 134–134. 31 indexed citations
15.
Kim, Soo‐Jin, Thu‐Huyen Pham, Yesol Bak, et al.. (2019). Epimagnolin A inhibits IL‐6 production by inhibiting p38/NF‐κB and AP‐1 signaling pathways in PMA‐stimulated THP‐1 cells. Environmental Toxicology. 34(7). 796–803. 19 indexed citations
16.
Karunarathne, Wisurumuni Arachchilage Hasitha Maduranga, Ilandarage Menu Neelaka Molagoda, Oh-Kyu Lee, et al.. (2019). Anthocyanins from Hibiscus Syriacus Inhibit Melanogenesis by Activating the ERK Signaling Pathway. 90–90. 1 indexed citations
18.
Kim, Soo‐Jin, Thu‐Huyen Pham, Yesol Bak, et al.. (2018). Orientin inhibits invasion by suppressing MMP-9 and IL-8 expression via the PKCα/ ERK/AP-1/STAT3-mediated signaling pathways in TPA-treated MCF-7 breast cancer cells. Phytomedicine. 50. 35–42. 63 indexed citations
19.
Lee, Sang Eun, Hyung Won Ryu, Youngmee Kim, et al.. (2008). Blockade of four-transmembrane L6 family member 5 (TM4SF5)-mediated tumorigenicity in hepatocytes by a synthetic chalcone derivative #. Hepatology. 49(4). 1316–1325. 60 indexed citations
20.
Ha, Tae Joung, et al.. (2008). Identification and characterization of phytochemicals from peanut (Arachis hypogaea L.) pods. Food Science and Biotechnology. 17(3). 475–482. 5 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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