Mi-Sook Dong

801 citations
10 papers · 690 · h-index 10

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Medicinal Plant Pharmacodynamics Research
    • Glutathione Transferases and Polymorphisms
    • Genomics, phytochemicals, and oxidative stress
    • Natural product bioactivities and synthesis
    • Bone Metabolism and Diseases

Papers in

    • Natural product bioactivities and synthesis 4
    • Angiogenesis and VEGF in Cancer 1
    • Pharmacogenetics and Drug Metabolism 2
    • Medicinal Plant Pharmacodynamics Research 1

Mi-Sook Dong

10 papers receiving 674 citations

Peers

Mi-Sook Dong
Comparison fields: 5 of 94
  • Pharmacology 183
  • Molecular Biology 452
  • Cancer Research 69
  • Biochemistry 22
  • Biochemistry 21
Replace Hyung‐Sik Kang with:
Hyung‐Sik Kang South Korea
Cédric Duret France
Delira Robbins United States
Zulong Liu China
S G Kim South Korea
Magdalena Dmoszyńska‐Graniczka Poland
Wenwen Lv China
Feng Pan China
Xingchao Geng China
Young-Sam Keum United States
Mi-Sook Dong relative to Hyung‐Sik Kang South Korea Hyung‐Sik Kang's profile →
Citations per field
00.5×1.5×
Hyung‐Sik Kang · 1×
Citations per year

Countries citing papers authored by Mi-Sook Dong

Since Specialization
Citations

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

Fields of papers citing papers by Mi-Sook Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2001343
2 2008154
3 199657
4 201429
5 201327
6 201322
7 201616
8 201515
9 201614
10 201413

About Mi-Sook Dong

Mi-Sook Dong is a scholar working on Molecular Biology, Pharmacology, Toxicology, Plant Science and Surgery, having authored 10 papers that have together received 690 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (4 papers), Forensic Toxicology and Drug Analysis (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Medicinal Plant Pharmacodynamics Research (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper), Cholesterol and Lipid Metabolism (1 paper), Computational Drug Discovery Methods (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Pharmacology (183 citations), Molecular Biology (452 citations), Cancer Research (69 citations), Biochemistry (22 citations) and Biochemistry (21 citations). Mi-Sook Dong has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Sang Geon Kim, Eui‐Ju Choi, Kanghyun Ryoo, Ssang‐Goo Cho, Yong Hee Lee, Myeong‐Jin Kim, Jaekyung Shim, Jihyun Park, Soo-Yeon Choi and Keon Wook Kang. Their work appears in journals such as Toxicological Sciences, Food Chemistry, Journal of Biological Chemistry, Archives of Pharmacal Research and Reproductive Toxicology.

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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