Chi‐Su Yoon

979 citations
47 papers · 803 · h-index 19

Impact in

Papers in

    • Natural product bioactivities and synthesis 10
    • Bioactive natural compounds 9
    • Heme Oxygenase-1 and Carbon Monoxide 5
    • Genomics, phytochemicals, and oxidative stress 4
    • Neuroinflammation and Neurodegeneration Mechanisms 12

Chi‐Su Yoon

44 papers receiving 790 citations

Peers

Chi‐Su Yoon
Comparison fields: 5 of 78
  • Complementary and alternative medicine 113
  • Pharmacology 187
  • Pharmacology 99
  • Biotechnology 99
  • Neurology 88
Replace Kyoung-Su Kim with:
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Jun Yin China
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Lian Guo China
Do‐Gon Ryu South Korea
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Chi‐Su Yoon relative to Kyoung-Su Kim South Korea Kyoung-Su Kim's profile →
Citations per field
00.5×4.7×
Kyoung-Su Kim · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Chi‐Su Yoon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chi‐Su Yoon Line = papers co-authored together Chi‐Su Yoon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201456
2 201650
3 201548
4 201447
5 201646
6 201546
7 201733
8 201530
9 201730
10 201630
11 201728
12 201826
13 201825
14 201624
15 202023
16 201818
17 201818
18 201718
19 201718
20 201717

About Chi‐Su Yoon

Chi‐Su Yoon is a scholar working on Molecular Biology, Neurology, Pharmacology, Pharmacology and Complementary and alternative medicine, having authored 47 papers that have together received 803 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Natural product bioactivities and synthesis (10 papers), Bioactive natural compounds (9 papers), Medicinal Plant Extracts Effects (6 papers), Phytochemistry and Biological Activities (5 papers), Heme Oxygenase-1 and Carbon Monoxide (5 papers), Tryptophan and brain disorders (5 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). The work is most often cited by research in Complementary and alternative medicine (113 citations), Pharmacology (187 citations), Pharmacology (99 citations), Biotechnology (99 citations) and Neurology (88 citations). Chi‐Su Yoon has collaborated with scholars based in South Korea, Vietnam and United States. Frequent co-authors include Hyuncheol Oh, Youn‐Chul Kim, Dongcheol Kim, Wonmin Ko, Trần Hồng Quang, Dong‐Sung Lee, Kwan-Woo Kim, Jae Hak Sohn, Joung Han Yim and Nguyễn Thị Thanh Ngân. Their work appears in journals such as International Journal of Molecular Sciences, Molecules, Evidence-based Complementary and Alternative Medicine, Journal of Natural Products and The American Journal of Chinese Medicine.

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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