Seokjoo Yoon

722 total citations
27 papers, 594 citations indexed

About

Seokjoo Yoon is a scholar working on Molecular Biology, Pharmacology and Epidemiology. According to data from OpenAlex, Seokjoo Yoon has authored 27 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Pharmacology and 7 papers in Epidemiology. Recurrent topics in Seokjoo Yoon's work include Liver Disease Diagnosis and Treatment (7 papers), Drug-Induced Hepatotoxicity and Protection (6 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Seokjoo Yoon is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Drug-Induced Hepatotoxicity and Protection (6 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Seokjoo Yoon collaborates with scholars based in South Korea, United States and Japan. Seokjoo Yoon's co-authors include Brian A. Davies, Matthew Seaman, Bruce Horazdovsky, Sarah A. McLaughlin, Scott D. Emr, Magnus Ingelman‐Sundberg, Kai O. Lindros, Niclas Tindberg, Che Fang and Harri A. Järveläinen and has published in prestigious journals such as Bioinformatics, Gastroenterology and The FASEB Journal.

In The Last Decade

Seokjoo Yoon

27 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seokjoo Yoon South Korea 12 293 177 87 65 64 27 594
Francesca Cingolani United States 12 362 1.2× 117 0.7× 161 1.9× 35 0.5× 34 0.5× 18 581
Satomi Miki Japan 12 220 0.8× 99 0.6× 53 0.6× 76 1.2× 30 0.5× 14 498
Wang‐Xiang Xu China 12 475 1.6× 64 0.4× 122 1.4× 83 1.3× 36 0.6× 23 755
Zixin Zhu China 13 306 1.0× 112 0.6× 96 1.1× 42 0.6× 22 0.3× 22 668
Kazuo Tsukidate Japan 12 247 0.8× 57 0.3× 105 1.2× 112 1.7× 72 1.1× 32 687
Russell C. Bowes United States 10 268 0.9× 225 1.3× 92 1.1× 34 0.5× 25 0.4× 12 521
Amy Pavone United States 15 313 1.1× 71 0.4× 50 0.6× 141 2.2× 27 0.4× 30 726
Margarita Mikhailova United States 12 567 1.9× 66 0.4× 82 0.9× 125 1.9× 45 0.7× 15 878
Shan Zhao China 14 368 1.3× 79 0.4× 105 1.2× 90 1.4× 76 1.2× 43 705
Saijun Fan China 11 257 0.9× 40 0.2× 120 1.4× 63 1.0× 59 0.9× 32 581

Countries citing papers authored by Seokjoo Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Seokjoo Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seokjoo Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Seokjoo Yoon. A scholar is included among the top collaborators of Seokjoo Yoon 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 Seokjoo Yoon. Seokjoo Yoon 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.
Lee, Sangwoo, Gyu Seok Cho, Jae Won Lee, et al.. (2023). Plausibility of Daphnia magna as an alternative experimental model to evaluate effects on eicosanoid synthesis. Ecotoxicology and Environmental Safety. 262. 115119–115119. 1 indexed citations
2.
Chun, Hang‐Suk, Sangwoo Lee, Daeui Park, et al.. (2022). ToxSTAR: drug-induced liver injury prediction tool for the web environment. Bioinformatics. 38(18). 4426–4427. 10 indexed citations
3.
Kang, Myung-Gyun, et al.. (2020). Development of Prediction Models for Drug-Induced Cholestasis, Cirrhosis, Hepatitis, and Steatosis Based on Drug and Drug Metabolite Structures. Frontiers in Pharmacology. 11. 67–67. 15 indexed citations
4.
Lee, Sangwoo, et al.. (2020). Zebrafish Embryonic Exposure to BPAP and Its Relatively Weak Thyroid Hormone-Disrupting Effects. Toxics. 8(4). 103–103. 6 indexed citations
5.
Kang, Myung-Gyun, et al.. (2019). RE-ORGA, a Korean Herb Extract, Can Prevent Hair Loss Induced by Dihydrotestosterone in Human Dermal Papilla Cells. Annals of Dermatology. 31(5). 530–530. 5 indexed citations
6.
Jung, Kyung Jin, et al.. (2019). Polyhexamethyleneguanidine phosphate induces cytotoxicity through disruption of membrane integrity. Toxicology. 414. 35–44. 33 indexed citations
7.
Lee, Dong‐Eun, Sangmin Lee, Hyang-Ae Lee, et al.. (2017). Physiological Effects of Ac4ManNAz and Optimization of Metabolic Labeling for Cell Tracking. Theranostics. 7(5). 1164–1176. 31 indexed citations
8.
9.
Lee, Young Sook, Jung‐Hwa Oh, Seokjoo Yoon, et al.. (2010). Differential Gene Expression Profiles of Radioresistant Non–Small-Cell Lung Cancer Cell Lines Established by Fractionated Irradiation: Tumor Protein p53-Inducible Protein 3 Confers Sensitivity to Ionizing Radiation. International Journal of Radiation Oncology*Biology*Physics. 77(3). 858–866. 47 indexed citations
10.
Huang, Zhiliang, Baowu Wang, Ralphenia D. Pace, & Seokjoo Yoon. (2009). Trans fat intake lowers total cholesterol and high-density lipoprotein cholesterol levels without changing insulin sensitivity index in Wistar rats. Nutrition Research. 29(3). 206–212. 15 indexed citations
11.
Kang, Jin Seok, et al.. (2009). Analysis of Gene Expression Modulated by Indole-3-carbinol in Dimethylbenz[a]anthracene-induced Rat Mammary Carcinogenesis. 1 indexed citations
12.
Yoon, Seokjoo, Ralphenia D. Pace, & Norma L Dawkins. (2007). The antioxidant potential of sweet potato greens in preventing cardiovascular disease risk in hamster. The FASEB Journal. 21(6). 2 indexed citations
13.
Ryu, Jae‐Chun, Seokjoo Yoon, Jongeun Lee, & Youn‐Jung Kim. (2004). Current Progress of Next Generation Battery of ToxicologyCellular and Molecular Toxicology, and Toxicogenomics. Genomics & Informatics. 2(4). 153–162. 4 indexed citations
14.
Kim, Jiyoung, Ja‐Eun Kim, Woo Suk Koh, et al.. (2004). Identification of potential biomarkers of genotoxicity and carcinogenicity in L5178Y mouse lymphoma cells by cDNA microarray analysis. Environmental and Molecular Mutagenesis. 45(1). 80–89. 11 indexed citations
15.
Bardag‐Gorce, Fawzia, Barbara A. French, Jun Li, et al.. (2002). The importance of cycling of blood alcohol levels in the pathogenesis of experimental alcoholic liver disease in rats. Gastroenterology. 123(1). 325–335. 52 indexed citations
16.
Kim, Joon Bum, et al.. (2000). Morphological Effect of Chronic Alcohol Drinking upon the Gastric Mucosa of Rats.. 33(5). 519–527. 4 indexed citations
17.
Yoon, Seokjoo, Akio Kazusaka, & Shoichi Fujita. (2000). Accumulation of diacylglycerol in the liver membrane of the Long-Evans Cinnamon (LEC) rat with hepatitis: FT-IR spectroscopic and HPLC detection. Cancer Letters. 151(1). 19–24. 4 indexed citations
18.
19.
Yoon, Seokjoo, Akio Kazusaka, & Shoichi Fujita. (1998). ESR and Infrared Spectroscopic Characterization of the Toxic Radical formed in the Liver of the SD rats impaired with CCl_4. The Journal of Toxicological Sciences. 23. 335. 1 indexed citations
20.
Horazdovsky, Bruce, Brian A. Davies, Matthew Seaman, et al.. (1997). A sorting nexin-1 homologue, Vps5p, forms a complex with Vps17p and is required for recycling the vacuolar protein-sorting receptor.. Molecular Biology of the Cell. 8(8). 1529–1541. 196 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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