Jae Suk Woo

1.1k total citations
31 papers, 977 citations indexed

About

Jae Suk Woo is a scholar working on Molecular Biology, Nephrology and Pathology and Forensic Medicine. According to data from OpenAlex, Jae Suk Woo has authored 31 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Nephrology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Jae Suk Woo's work include Acute Kidney Injury Research (9 papers), Drug-Induced Hepatotoxicity and Protection (4 papers) and Chemotherapy-induced organ toxicity mitigation (4 papers). Jae Suk Woo is often cited by papers focused on Acute Kidney Injury Research (9 papers), Drug-Induced Hepatotoxicity and Protection (4 papers) and Chemotherapy-induced organ toxicity mitigation (4 papers). Jae Suk Woo collaborates with scholars based in South Korea and United States. Jae Suk Woo's co-authors include Yong Keun Kim, Jin Sup Jung, Jae Ho Kim, Chae Hwa Kwon, Ki Hyung Kim, Hyun Ju Kim, Jong Min Kim, Hae Young Song, Yong Jung Kang and Eun Su Jeon and has published in prestigious journals such as Kidney International, Journal of Pharmacology and Experimental Therapeutics and Biochemical Pharmacology.

In The Last Decade

Jae Suk Woo

30 papers receiving 955 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae Suk Woo South Korea 16 488 226 111 109 100 31 977
Dinender Kumar Canada 16 722 1.5× 309 1.4× 251 2.3× 127 1.2× 93 0.9× 22 1.7k
Dirk Bokemeyer Germany 17 689 1.4× 82 0.4× 102 0.9× 151 1.4× 70 0.7× 36 1.2k
Teresa Iantomasi Italy 21 683 1.4× 157 0.7× 161 1.5× 65 0.6× 71 0.7× 82 1.5k
Suresh S. Palaniyandi United States 27 661 1.4× 245 1.1× 86 0.8× 38 0.3× 114 1.1× 56 1.6k
Francisco Javier Lucio-Cazaña Spain 20 779 1.6× 92 0.4× 97 0.9× 173 1.6× 95 0.9× 66 1.5k
Calpurnia Jayakumar United States 21 576 1.2× 105 0.5× 77 0.7× 206 1.9× 65 0.7× 34 1.2k
Baojun Chang United States 16 611 1.3× 173 0.8× 242 2.2× 43 0.4× 156 1.6× 25 1.3k
Sungmi Park South Korea 17 397 0.8× 73 0.3× 58 0.5× 114 1.0× 61 0.6× 38 1.0k
Guangju Guan China 23 543 1.1× 95 0.4× 130 1.2× 313 2.9× 93 0.9× 43 1.4k
Inah Hwang South Korea 19 675 1.4× 57 0.3× 84 0.8× 131 1.2× 128 1.3× 28 1.2k

Countries citing papers authored by Jae Suk Woo

Since Specialization
Citations

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

Fields of papers citing papers by Jae Suk Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Suk Woo. 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 Jae Suk Woo. The network helps show where Jae Suk Woo may publish in the future.

Co-authorship network of co-authors of Jae Suk Woo

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

All Works

20 of 20 papers shown
1.
2.
Woo, Jae Suk, et al.. (2014). Silibinin Induces Cell Death through Reactive Oxygen Species–Dependent Downregulation of Notch-1/ERK/Akt Signaling in Human Breast Cancer Cells. Journal of Pharmacology and Experimental Therapeutics. 349(2). 268–278. 54 indexed citations
3.
Kim, Yong Keun, et al.. (2012). The Adenosine A3 Receptor Agonist Cl-IB-MECA Induces Cell Death Through Ca2+/ROS-Dependent Down Regulation of ERK and Akt in A172 Human Glioma Cells. Neurochemical Research. 37(12). 2667–2677. 29 indexed citations
4.
Lee, Dong‐Soo, Ji Hye Lee, Seung Jun Lee, et al.. (2012). Histological and Genetic Characterization of True Hermaphroditism in Korean Pigs. Journal of Veterinary Medical Science. 75(2). 203–206. 3 indexed citations
5.
Kim, Moon Jung, Jae Suk Woo, Chae Hwa Kwon, et al.. (2011). Luteolin induces apoptotic cell death through AIF nuclear translocation mediated by activation of ERK and p38 in human breast cancer cell lines. Cell Biology International. 36(4). 339–344. 46 indexed citations
6.
Choi, Chang Hwa, et al.. (2009). Silibinin Inhibits Glioma Cell Proliferation via Ca2+/ROS/MAPK-Dependent Mechanism In Vitro and Glioma Tumor Growth In Vivo. Neurochemical Research. 34(8). 1479–1490. 54 indexed citations
7.
8.
Kim, Myoung Soo, et al.. (2008). 15-Deoxy-Δ12,14-prostaglandin J2 induces apoptosis via JNK-mediated mitochondrial pathway in osteoblastic cells. Toxicology. 248(2-3). 121–129. 43 indexed citations
9.
Kwon, Chae Hwa, et al.. (2006). Signal transduction of MEK/ERK and PI3K/Akt activation by hypoxia/reoxygenation in renal epithelial cells. European Journal of Cell Biology. 85(11). 1189–1199. 75 indexed citations
10.
Kang, Yong Jung, Eun Su Jeon, Hae Young Song, et al.. (2005). Role of c‐Jun N‐terminal kinase in the PDGF‐induced proliferation and migration of human adipose tissue‐derived mesenchymal stem cells. Journal of Cellular Biochemistry. 95(6). 1135–1145. 98 indexed citations
11.
Kwon, Chae Hwa, et al.. (2003). Differential roles of hydrogen peroxide and hydroxyl radical in cisplatin-induced cell death in renal proximal tubular epithelial cells. Journal of Laboratory and Clinical Medicine. 142(3). 178–186. 150 indexed citations
12.
Park, Sung‐Min, et al.. (2003). Oxidant‐Induced Cell Death in Renal Epithelial Cells: Differential Effects of Inorganic and Organic Hydroperoxides. Pharmacology & Toxicology. 92(1). 43–50. 10 indexed citations
13.
Kim, Yong Keun, et al.. (2003). Beneficial Effect of Pentoxifylline on Cisplatin-Induced Acute Renal Failure in Rabbits. Renal Failure. 25(6). 909–922. 40 indexed citations
14.
Kim, Yong Keun, et al.. (2002). Differential Role of Reactive Oxygen Species in Chemical Hypoxia-Induced Cell Injury in Opossum Kidney Cells and Rabbit Renal Cortical Slices. Nephron Experimental Nephrology. 10(4). 275–284. 14 indexed citations
15.
Woo, Jae Suk, et al.. (2001). EFFECT OF PENTOXIFYLLINE ON ISCHEMIC ACUTE RENAL FAILURE IN RABBITS. Renal Failure. 23(6). 757–772. 19 indexed citations
16.
Lim, Young Tak, et al.. (2000). MECHANISM OF REDUCED GFR IN RABBITS WITH ISCHEMIC ACUTE RENAL FAILURE. Renal Failure. 22(2). 129–141. 24 indexed citations
17.
Kim, Chung-Hui, et al.. (2000). Role of Lipid Peroxidation and Poly(ADP-ribose) Polymerase Activation in Oxidant-Induced Membrane Transport Dysfunction in Opossum Kidney Cells. Toxicology and Applied Pharmacology. 166(3). 196–202. 12 indexed citations
18.
Woo, Jae Suk, et al.. (1995). Effect of Renal Ischaemia on Organic Compound Transport in Rabbit Kidney Proximal Tubule. Pharmacology & Toxicology. 77(2). 121–129. 14 indexed citations
19.
Woo, Jae Suk, et al.. (1994). Effect of t-Butylhydroperoxide on p-Aminohippurat Uptake in Rabbit Renal Cortical Slices. The Korean Journal of Internal Medicine. 9(2). 105–113. 4 indexed citations
20.
Lee, Hye Young, et al.. (1990). Transport of organic compounds in renal plasma membrane vesicles of cadmium intoxicated rats. Kidney International. 37(2). 727–735. 24 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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