Dong‐Yeul Kwon

95 papers receiving 2.9k citations

Peers

Dong‐Yeul Kwon
Comparison fields: 5 of 119
  • Molecular Medicine 411
  • Pharmacology 416
  • Complementary and alternative medicine 271
  • Toxicology 116
  • Food Science 539
Replace Ok‐Hwa Kang with:
Ok‐Hwa Kang South Korea
Chun-Ching Lin Taiwan
Purusotam Basnet Norway
Sanjay M. Jachak India
Grace Gar‐Lee Yue Hong Kong
Jang‐Gi Choi South Korea
Jeremy James Johnson United States
Yuan-feng Zou China
Milad Iranshahy Iran
Chongshan Dai China
Dong‐Yeul Kwon relative to Ok‐Hwa Kang South Korea Ok‐Hwa Kang's profile →
Citations per field
00.5×1.5×
Ok‐Hwa Kang · 1×
Citations per year

Countries citing papers authored by Dong‐Yeul Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Yeul Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Yeul Kwon. 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 Dong‐Yeul Kwon. The network helps show where Dong‐Yeul Kwon may publish in the future.

Co-authors

The 25 scholars most cited alongside Dong‐Yeul Kwon, 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 Dong‐Yeul Kwon Line = papers co-authored together Dong‐Yeul Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013383
2 2010115
3 201498
4 201197
5 200997
6 200996
7 200984
8
Curcumin decreases oleic acid-induced lipid accumulation via AMPK phosphorylation in hepatocarcinoma cells.
201375
9 200870
10 201561
11 201458
12 200958
13 201457
14 200656
15 201056
16 201756
17 200652
18 201552
19 200952
20 201645

About Dong‐Yeul Kwon

Dong‐Yeul Kwon is a scholar working on Pharmacology, Pharmacology, Molecular Medicine, Food Science and Complementary and alternative medicine, having authored 100 papers that have together received 3.0k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (17 papers), Essential Oils and Antimicrobial Activity (16 papers), Pharmacological Effects of Natural Compounds (12 papers), Curcumin's Biomedical Applications (9 papers), Mast cells and histamine (9 papers), Traditional Chinese Medicine Analysis (8 papers), Antimicrobial Resistance in Staphylococcus (8 papers) and NF-κB Signaling Pathways (7 papers). The work is most often cited by research in Molecular Medicine (411 citations), Pharmacology (416 citations), Complementary and alternative medicine (271 citations), Toxicology (116 citations) and Food Science (539 citations). Dong‐Yeul Kwon has collaborated with scholars based in South Korea, China and Nigeria. Frequent co-authors include Ok‐Hwa Kang, Jang‐Gi Choi, Dong‐Won Shin, Su‐Hyun Mun, Young‐Seob Lee, Yun‐Soo Seo, Sung‐Bae Kim, Hee‐Sung Chae, Youn‐Chul Kim and Dae-Ki Joung. Their work appears in journals such as International Journal of Molecular Sciences, Foodborne Pathogens and Disease, International Journal of Molecular Medicine, The American Journal of Chinese Medicine and Biological and Pharmaceutical Bulletin.

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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