Dong Seok

726 citations
37 papers · 594 · h-index 13

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 19
    • GABA and Rice Research 3

Dong Seok

35 papers receiving 581 citations

Peers

Dong Seok
Comparison fields: 5 of 84
  • Aging 188
  • Biochemistry 61
  • Endocrine and Autonomic Systems 52
  • Complementary and alternative medicine 56
  • Biological Psychiatry 14
Replace Hoon Jeon with:
Hoon Jeon South Korea
Ekaterina Proshkina Russia
Chung Wah China
Shanqing Zheng China
Ziyun Wu China
Dikran Toroser United States
Xiaobing Huang China
Aliabbas Zia Iran
Ruona Shi China
Raushan Kumar India
Dong Seok relative to Hoon Jeon South Korea Hoon Jeon's profile →
Citations per field
00.5×1.5×
Hoon Jeon · 1×
Citations per year

Countries citing papers authored by Dong Seok

Since Specialization
Citations

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

Fields of papers citing papers by Dong Seok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201088
2 201178
3 201341
4 201440
5 201832
6 200631
7 201530
8 201628
9 201526
10 201526
11 201625
12 201125
13 201416
14
Anti-inflammatory Effect of MeOH Extracts of the Stem of Polygonum multiflorum in LPS-stimulated Mouse Peritoneal Macrophages
200911
15 201810
16 201610
17 20129
18 20198
19 20188
20 20218

About Dong Seok

Dong Seok is a scholar working on Aging, Plant Science, Molecular Biology, Endocrine and Autonomic Systems and Neurology, having authored 37 papers that have together received 594 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (19 papers), Circadian rhythm and melatonin (5 papers), Selenium in Biological Systems (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), GABA and Rice Research (3 papers), Pharmacological Effects of Natural Compounds (3 papers), CRISPR and Genetic Engineering (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Aging (188 citations), Biochemistry (61 citations), Endocrine and Autonomic Systems (52 citations), Complementary and alternative medicine (56 citations) and Biological Psychiatry (14 citations). Dong Seok has collaborated with scholars based in South Korea, United States and Saudi Arabia. Frequent co-authors include Hoon Jeon, Myon‐Hee Lee, Jae Soon Eun, Dae Keun Kim, Jarrett T. Whelan, Adam S. Asch, Young Taek Han, Dong Suk Yoon, Yoorim Choi and Jin Woo Lee. Their work appears in journals such as Biomolecules & Therapeutics, Reproductive Toxicology, Archives of Pharmacal Research, Molecules and Applied Sciences.

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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