Mi-Sook Dong

801 total citations
10 papers, 690 citations indexed

About

Mi-Sook Dong is a scholar working on Molecular Biology, Pharmacology and Toxicology. According to data from OpenAlex, Mi-Sook Dong has authored 10 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pharmacology and 2 papers in Toxicology. Recurrent topics in Mi-Sook Dong's work include Natural product bioactivities and synthesis (4 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Forensic Toxicology and Drug Analysis (2 papers). Mi-Sook Dong is often cited by papers focused on Natural product bioactivities and synthesis (4 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Forensic Toxicology and Drug Analysis (2 papers). Mi-Sook Dong collaborates with scholars based in South Korea, United States and Vietnam. Mi-Sook Dong's co-authors include Ssang‐Goo Cho, Tong-Shin Chang, Jaekyung Shim, Kanghyun Ryoo, Myeong‐Jin Kim, Keon Wook Kang, Min Jae Lee, Hidenori Ichijo, Yong Hee Lee and Hee-Sae Park and has published in prestigious journals such as Journal of Biological Chemistry, Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Mi-Sook Dong

10 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mi-Sook Dong South Korea 10 452 183 69 68 54 10 690
Hyung‐Sik Kang South Korea 20 404 0.9× 145 0.8× 45 0.7× 104 1.5× 72 1.3× 52 1.1k
Azara Janmohamed United Kingdom 10 337 0.7× 293 1.6× 66 1.0× 154 2.3× 34 0.6× 15 853
Cédric Duret France 14 386 0.9× 223 1.2× 53 0.8× 135 2.0× 20 0.4× 22 910
Young-Sam Keum United States 12 815 1.8× 109 0.6× 80 1.2× 92 1.4× 64 1.2× 14 1.1k
Jingxiang Bai United States 14 591 1.3× 152 0.8× 105 1.5× 136 2.0× 60 1.1× 15 1.2k
Zhi‐Lin Luan China 19 346 0.8× 120 0.7× 75 1.1× 101 1.5× 38 0.7× 56 799
Xingchao Geng China 13 248 0.5× 163 0.9× 40 0.6× 56 0.8× 159 2.9× 39 738
Ikuyo Ichi Japan 19 562 1.2× 97 0.5× 139 2.0× 68 1.0× 50 0.9× 45 1.1k
Ryuichi Kato Japan 10 281 0.6× 182 1.0× 194 2.8× 76 1.1× 38 0.7× 15 633
David G. Thomassen United States 21 331 0.7× 250 1.4× 156 2.3× 139 2.0× 133 2.5× 37 948

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-authorship network of co-authors of Mi-Sook Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Mi-Sook Dong. A scholar is included among the top collaborators of Mi-Sook Dong 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 Mi-Sook Dong. Mi-Sook Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
2.
Park, Eun‐Jung, et al.. (2016). Development and pre-validation of an in vitro transactivation assay for detection of (anti)androgenic potential compounds using 22Rv1/MMTV cells. Reproductive Toxicology. 60. 156–166. 14 indexed citations
3.
Jeong, Se‐Jin, Jong‐Gil Park, Sinai Kim, et al.. (2015). Extract of Rhus verniciflua stokes protects the diet-induced hyperlipidemia in mice. Archives of Pharmacal Research. 38(11). 2049–2058. 15 indexed citations
4.
Lee, Dong‐Ho, et al.. (2014). Estrogenic activity of a Rhus verniciflua extract and its major components. Journal of Functional Foods. 11. 250–260. 13 indexed citations
5.
Kim, Mikyung, et al.. (2014). Antiplatelet Effects of Rhus verniciflua Stokes Heartwood and Its Active Constituents—Fisetin, Butein, and Sulfuretin—in Rats. Journal of Medicinal Food. 18(1). 21–30. 29 indexed citations
6.
Kim, Sun A., Seung Hyun Kim, In Sook Kim, et al.. (2013). Simultaneous determination of bioactive phenolic compounds in the stem extract of Rhus verniciflua stokes by high performance liquid chromatography. Food Chemistry. 141(4). 3813–3819. 27 indexed citations
7.
Park, Hyejin, et al.. (2013). Human Nephrotoxicity Prediction Models for Three Types of Kidney Injury Based on Data Sets of Pharmacological Compounds and Their Metabolites. Chemical Research in Toxicology. 26(11). 1652–1659. 22 indexed citations
8.
Kim, CK, Moo‐Ho Won, Han Soo Lee, et al.. (2008). Icariin stimulates angiogenesis by activating the MEK/ERK- and PI3K/Akt/eNOS-dependent signal pathways in human endothelial cells. Biochemical and Biophysical Research Communications. 376(2). 404–408. 154 indexed citations
9.
Cho, Ssang‐Goo, Yong Hee Lee, Hee-Sae Park, et al.. (2001). Glutathione S-Transferase Mu Modulates the Stress-activated Signals by Suppressing Apoptosis Signal-regulating Kinase 1. Journal of Biological Chemistry. 276(16). 12749–12755. 343 indexed citations
10.
Dong, Mi-Sook, Hiroshi Yamazaki, Zuyu Guo, & F. Peter Guengerich. (1996). Recombinant Human Cytochrome P450 1A2 and an N-Terminal-Truncated Form: Construction, Purification, Aggregation Properties, and Interactions with Flavodoxin, Ferredoxin, and NADPH-Cytochrome P450 Reductase. Archives of Biochemistry and Biophysics. 327(1). 11–19. 57 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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