Chi‐Su Yoon

950 total citations
45 papers, 779 citations indexed

About

Chi‐Su Yoon is a scholar working on Molecular Biology, Neurology and Pharmacology. According to data from OpenAlex, Chi‐Su Yoon has authored 45 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Neurology and 10 papers in Pharmacology. Recurrent topics in Chi‐Su Yoon's work include Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Natural product bioactivities and synthesis (12 papers) and Bioactive natural compounds (11 papers). Chi‐Su Yoon is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Natural product bioactivities and synthesis (12 papers) and Bioactive natural compounds (11 papers). Chi‐Su Yoon collaborates with scholars based in South Korea, Vietnam and United States. Chi‐Su Yoon's co-authors include Hyuncheol Oh, Youn‐Chul Kim, Dongcheol Kim, Wonmin Ko, Trần Hồng Quang, Dong‐Sung Lee, Jae Hak Sohn, Kwan-Woo Kim, Joung Han Yim and Nguyễn Thị Thanh Ngân and has published in prestigious journals such as Food Chemistry, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Chi‐Su Yoon

43 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi‐Su Yoon South Korea 18 396 191 147 120 113 45 779
Namki Cho South Korea 16 429 1.1× 121 0.6× 146 1.0× 94 0.8× 97 0.9× 68 865
Jin‐Woo Jeong South Korea 19 499 1.3× 258 1.4× 115 0.8× 87 0.7× 91 0.8× 30 984
Chun Whan Choi South Korea 20 581 1.5× 186 1.0× 230 1.6× 155 1.3× 119 1.1× 69 1.1k
Kyoung-Su Kim South Korea 13 308 0.8× 144 0.8× 153 1.0× 55 0.5× 67 0.6× 22 621
Wonmin Ko South Korea 23 746 1.9× 341 1.8× 262 1.8× 129 1.1× 131 1.2× 59 1.3k
Ik Soo Lee South Korea 20 508 1.3× 255 1.3× 285 1.9× 173 1.4× 159 1.4× 77 1.2k
Yong-Kee Jeong South Korea 15 293 0.7× 159 0.8× 179 1.2× 64 0.5× 64 0.6× 35 725
Jong‐Heon Won South Korea 10 279 0.7× 220 1.2× 159 1.1× 168 1.4× 104 0.9× 10 659
Jun Yin China 23 769 1.9× 251 1.3× 245 1.7× 167 1.4× 224 2.0× 69 1.3k
Ren‐Bo An China 19 472 1.2× 132 0.7× 178 1.2× 120 1.0× 121 1.1× 43 777

Countries citing papers authored by Chi‐Su Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Su Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi‐Su Yoon. 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 Chi‐Su Yoon. The network helps show where Chi‐Su Yoon may publish in the future.

Co-authorship network of co-authors of Chi‐Su Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Su Yoon. A scholar is included among the top collaborators of Chi‐Su Yoon 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 Chi‐Su Yoon. Chi‐Su Yoon 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.
Liu, Zhiming, Chi‐Su Yoon, Hwan Lee, et al.. (2025). Anti-Neuroinflammatory Effects of Prenylated Indole Alkaloids from the Antarctic Fungus Aspergillus sp. Strain SF-7367. Molecules. 30(2). 294–294. 1 indexed citations
3.
Yoon, Chi‐Su, Jungsoo Han, Yuting Wang, et al.. (2024). An acyl-CoA thioesterase is essential for the biosynthesis of a key dauer pheromone in C. elegans. Cell chemical biology. 31(5). 1011–1022.e6. 1 indexed citations
4.
Liu, Zhiming, Chi‐Su Yoon, Hwan Lee, et al.. (2024). The neuroprotective and anti-neuroinflammatory effects of ramalin synthetic derivatives in BV2 and HT22 cells. Biochemical Pharmacology. 231. 116654–116654. 3 indexed citations
5.
Liu, Zhiming, Chi‐Su Yoon, Hwan Lee, Hyeong‐Kyu Lee, & Dong‐Sung Lee. (2024). Dihydropashanone Isolated from Lindera erythrocarpa, a Potential Natural Product for the Treatment of Neurodegenerative Diseases. International Journal of Molecular Sciences. 25(5). 2545–2545.
7.
Liu, Zhiming, Chi‐Su Yoon, Hwan Lee, Hyeong‐Kyu Lee, & Dong‐Sung Lee. (2023). Linderone Isolated from Lindera erythrocarpa Exerts Antioxidant and Anti-Neuroinflammatory Effects via NF-κB and Nrf2 Pathways in BV2 and HT22 Cells. International Journal of Molecular Sciences. 24(8). 7569–7569. 3 indexed citations
9.
Jo, Il‐Joo, Ho‐Joon Song, Chi‐Su Yoon, et al.. (2019). 8α-Hydroxypinoresinol isolated from Nardostachys jatamansi ameliorates cerulein-induced acute pancreatitis through inhibition of NF-κB activation. Molecular Immunology. 114. 620–628. 10 indexed citations
11.
Quang, Trần Hồng, et al.. (2018). Furanoaustinol and 7-acetoxydehydroaustinol: new meroterpenoids from a marine-derived fungal strain Penicillium sp. SF-5497. The Journal of Antibiotics. 71(6). 557–563. 25 indexed citations
12.
Yoon, Chi‐Su, et al.. (2017). Anti-neuroinflammatory effects of sesquiterpenoids isolated from Nardostachys jatamansi. Bioorganic & Medicinal Chemistry Letters. 28(2). 140–144. 27 indexed citations
13.
Yoon, Chi‐Su, Dae Sung Kim, Sung Yeon Kim, et al.. (2017). Vitis labruscana leaf extract ameliorates scopolamine-induced impairments with activation of Akt, ERK and CREB in mice. Phytomedicine. 36. 8–17. 16 indexed citations
15.
Kim, Dongcheol, Trần Hồng Quang, Chi‐Su Yoon, et al.. (2016). Anti-neuroinflammatory activities of indole alkaloids from kanjang (Korean fermented soy source) in lipopolysaccharide-induced BV2 microglial cells. Food Chemistry. 213. 69–75. 44 indexed citations
16.
Kim, Dongcheol, Chi‐Su Yoon, Wonmin Ko, et al.. (2015). Anti-inflammatory Effects of $1{\beta}$ , $6{\alpha}$ -Dihydroxyeudesm-4(15)-ene Isolated from Myrrh on LPS-induced Neuroinflammation in BV2 cells. Korean Journal of Pharmacognosy. 46(1). 12–16. 1 indexed citations
17.
Yoon, Chi‐Su, Dongcheol Kim, Sung Yeon Kim, et al.. (2015). Effects of Gastrodiae rhizoma on proliferation and differentiation of human embryonic neural stem cells. Asian Pacific Journal of Tropical Medicine. 8(10). 792–797. 7 indexed citations
18.
Yoon, Chi‐Su, Dongcheol Kim, Wonmin Ko, et al.. (2014). Anti-neuroinflammatory Effects of Quercetin-3-O-glucuronide Isolated from the Leaf of Vitis labruscana on LPS-induced Neuroinflammation in BV2 Cells. Korean Journal of Pharmacognosy. 45(1). 17–22. 6 indexed citations
19.
Lee, Dong‐Sung, Wonmin Ko, Chi‐Su Yoon, et al.. (2014). KCHO‐1, a Novel Antineuroinflammatory Agent, Inhibits Lipopolysaccharide‐Induced Neuroinflammatory Responses through Nrf2‐Mediated Heme Oxygenase‐1 Expression in Mouse BV2 Microglia Cells. Evidence-based Complementary and Alternative Medicine. 2014(1). 357154–357154. 14 indexed citations
20.
Yoon, Chi‐Su, Dongcheol Kim, Dong‐Sung Lee, et al.. (2014). Anti-neuroinflammatory effect of aurantiamide acetate from the marine fungus Aspergillus sp. SF-5921: Inhibition of NF-κB and MAPK pathways in lipopolysaccharide-induced mouse BV2 microglial cells. International Immunopharmacology. 23(2). 568–574. 54 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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