S G Kim

822 total citations
19 papers, 700 citations indexed

About

S G Kim is a scholar working on Molecular Biology, Pharmacology and Biochemistry. According to data from OpenAlex, S G Kim has authored 19 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Pharmacology and 7 papers in Biochemistry. Recurrent topics in S G Kim's work include Eicosanoids and Hypertension Pharmacology (7 papers), Glutathione Transferases and Polymorphisms (6 papers) and Pharmacogenetics and Drug Metabolism (5 papers). S G Kim is often cited by papers focused on Eicosanoids and Hypertension Pharmacology (7 papers), Glutathione Transferases and Polymorphisms (6 papers) and Pharmacogenetics and Drug Metabolism (5 papers). S G Kim collaborates with scholars based in South Korea, United States and China. S G Kim's co-authors include Chae Ha Yang, Y W Kim, Rongjie Zhao, Ja Hyun Koo, Min Sung Joo, Raymond Novak, Donald E. Williams, Philip S. Guzelian, Erin G. Schuetz and Min Kyung Cho and has published in prestigious journals such as The Plant Cell, Hepatology and Oncogene.

In The Last Decade

S G Kim

19 papers receiving 682 citations

Peers

S G Kim
Minh Truong South Korea
Ting Bai China
Farhan Rizvi United States
Quan Jin China
Minh Truong South Korea
S G Kim
Citations per year, relative to S G Kim S G Kim (= 1×) peers Minh Truong

Countries citing papers authored by S G Kim

Since Specialization
Citations

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

Fields of papers citing papers by S G Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S G Kim. 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 S G Kim. The network helps show where S G Kim may publish in the future.

Co-authorship network of co-authors of S G Kim

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

All Works

19 of 19 papers shown
1.
Joo, Min Sung, et al.. (2013). miR-125b transcriptionally increased by Nrf2 inhibits AhR repressor, which protects kidney from cisplatin-induced injury. Cell Death and Disease. 4(10). e899–e899. 82 indexed citations
3.
Kim, S G, Young Hee Choi, Myoung‐Gyu Lee, et al.. (2010). Pharmacokinetics of Oltipraz and Its Major Metabolite (RM) in Patients With Liver Fibrosis or Cirrhosis: Relationship With Suppression of Circulating TGF-β1. Clinical Pharmacology & Therapeutics. 88(3). 360–368. 18 indexed citations
4.
Lee, Shin‐Jae, et al.. (2009). The gep oncogenes, Gα12 and Gα13, upregulate the transforming growth factor-β1 gene. Oncogene. 28(9). 1230–1240. 21 indexed citations
5.
Kim, Y W, et al.. (2008). Anti‐inflammatory effects of liquiritigenin as a consequence of the inhibition of NF‐κB‐dependent iNOS and proinflammatory cytokines production. British Journal of Pharmacology. 154(1). 165–173. 224 indexed citations
7.
Kim, S G, et al.. (2006). PI3K, RSK, and mTOR Signal Networks for the GST Gene Regulation. Toxicological Sciences. 96(2). 206–213. 42 indexed citations
9.
Cho, Min Kyung & S G Kim. (2003). Hepatocyte Growth Factor Activates Ccaat Enhancer Binding Protein and Cell Replication Via Pi3–Kinase Pathway. Hepatology. 37(3). 686–695. 27 indexed citations
10.
11.
Kim, S G, et al.. (2000). Enhanced expression of rat hepatic microsomal epoxide hydrolase by methylthiazole in conjunction with liver injury. Toxicology. 146(2-3). 111–122. 5 indexed citations
12.
Kim, S G, Hye Jung Kim, & Chae Ha Yang. (1999). Thioureas differentially induce rat hepatic microsomal epoxide hydrolase and rGSTA2 irrespective of their oxygen radical scavenging effect: effects on toxicant-induced liver injury. Chemico-Biological Interactions. 117(2). 117–134. 13 indexed citations
14.
15.
Nam, Soon Yuhl, et al.. (1997). Enhancement of Radiation-Induced Hepatic Microsomal Epoxide Hydrolase Gene Expression by Oltipraz in Rats. Radiation Research. 147(5). 613–613. 20 indexed citations
16.
Ahn, Ji Hoon, Youn Seok Choi, Youngkook Kwon, et al.. (1996). A novel extensin gene encoding a hydroxyproline-rich glycoprotein requires sucrose for its wound-inducible expression in transgenic plants.. The Plant Cell. 8(9). 1477–1490. 49 indexed citations
17.
Kim, S G, JH Cho, & Keun‐Hwa Jung. (1995). Differential expression of rat microsomal epoxide hydrolase gene by imidazole and triazole antimycotic agents.. Drug Metabolism and Disposition. 23(4). 460–464. 2 indexed citations
18.
Kim, S G & Young Ho Kim. (1992). Gender-related expression of rat microsomal epoxide hydrolase during maturation: post-transcriptional regulation.. Molecular Pharmacology. 42(1). 75–81. 24 indexed citations
19.
Kim, S G, Donald E. Williams, Erin G. Schuetz, Philip S. Guzelian, & Raymond Novak. (1988). Pyridine induction of cytochrome P-450 in the rat: role of P-450j (alcohol-inducible form) in pyridine N-oxidation.. Journal of Pharmacology and Experimental Therapeutics. 246(3). 1175–1182. 83 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026