Jung‐Woo Bae

1.4k total citations
68 papers, 1.1k citations indexed

About

Jung‐Woo Bae is a scholar working on Pharmacology, Pharmacology and Oncology. According to data from OpenAlex, Jung‐Woo Bae has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Pharmacology, 35 papers in Pharmacology and 23 papers in Oncology. Recurrent topics in Jung‐Woo Bae's work include Pharmacogenetics and Drug Metabolism (42 papers), Drug Transport and Resistance Mechanisms (22 papers) and Antibiotics Pharmacokinetics and Efficacy (15 papers). Jung‐Woo Bae is often cited by papers focused on Pharmacogenetics and Drug Metabolism (42 papers), Drug Transport and Resistance Mechanisms (22 papers) and Antibiotics Pharmacokinetics and Efficacy (15 papers). Jung‐Woo Bae collaborates with scholars based in South Korea, United States and Thailand. Jung‐Woo Bae's co-authors include Choon‐Gon Jang, Seok‐Yong Lee, Chang‐Ik Choi, Yun Jeong Lee, Hye-In Lee, Mi‐Jeong Kim, Mi‐Jeong Kim, Young‐Hoon Kim, Yunjeong Lee and Se‐Hyung Kim and has published in prestigious journals such as International Journal of Molecular Sciences, Biomedicine & Pharmacotherapy and British Journal of Clinical Pharmacology.

In The Last Decade

Jung‐Woo Bae

65 papers receiving 1.1k citations

Peers

Jung‐Woo Bae

PHARM

ONCOL

Chang‐Ik Choi South Korea

Tomonori Tateishi Japan

Ji‐Hong Shon South Korea

Jiansong Yang United Kingdom

MS Lennard United Kingdom

JoAnn Scatina United States

T. Leemann Switzerland

S. Narimatsu Japan

H.K. Crewe United Kingdom

Fakhreddin Jamali Canada

Chang‐Ik Choi South Korea

Jung‐Woo Bae

556 ×0.8

PHARM

355 ×0.8

PHARM

261 ×0.8

ONCOL

150 ×0.7

313 ×2.5

Citations per year, relative to Jung‐Woo Bae Jung‐Woo Bae (= 1×) peers Chang‐Ik Choi

Countries citing papers authored by Jung‐Woo Bae

Since Specialization

Citations

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

Fields of papers citing papers by Jung‐Woo Bae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung‐Woo Bae. 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 Jung‐Woo Bae. The network helps show where Jung‐Woo Bae may publish in the future.

Co-authorship network of co-authors of Jung‐Woo Bae

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

All Works

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20 of 20 papers shown

Jang, Choon‐Gon, et al.. (2024). Effects of fluconazole on the pharmacokinetics of celecoxib and its carboxylic acid metabolite in different CYP2C9 genotypes. Archives of Pharmacal Research. 48(3). 224–233.

Jang, Choon‐Gon, et al.. (2023). Physiologically based pharmacokinetic (PBPK) modeling of pitavastatin in relation to SLCO1B1 genetic polymorphism. Archives of Pharmacal Research. 47(2). 95–110. 5 indexed citations

Jang, Choon‐Gon, et al.. (2023). Effects of CYP2C9 and CYP2C19 genetic polymorphisms on the pharmacokinetics and pharmacodynamics of gliclazide in healthy subjects. Archives of Pharmacal Research. 46(5). 438–447. 8 indexed citations

Ji, Moongi, et al.. (2023). Alcohol perturbed locomotor behavior, metabolism, and pharmacokinetics of gamma-hydroxybutyric acid in rats. Biomedicine & Pharmacotherapy. 164. 114992–114992. 5 indexed citations

Kim, Yumi, et al.. (2023). A chitosan/alginate coated nano-liposome to improve intestinal absorption of curcumin for oral administration. Food Science and Biotechnology. 33(7). 1707–1714. 8 indexed citations

Park, Hye-Jung, Yun Jeong Lee, Chang‐Ik Choi, et al.. (2022). Physiologically based pharmacokinetic (PBPK) modeling of flurbiprofen in different CYP2C9 genotypes. Archives of Pharmacal Research. 45(8). 584–595. 11 indexed citations

Park, Hye-Jung, et al.. (2021). Effects of CYP2C9*3 and *13 alleles on the pharmacokinetics and pharmacodynamics of glipizide in healthy Korean subjects. Archives of Pharmacal Research. 45(2). 114–121. 19 indexed citations

Park, Hye-Jung, Sungmin Moon, Yun Jeong Lee, et al.. (2021). Physiologically based pharmacokinetic (PBPK) modeling of meloxicam in different CYP2C9 genotypes. Archives of Pharmacal Research. 44(12). 1076–1090. 23 indexed citations

Nguyen, Hai Duc, et al.. (2021). Association between Serum Prolactin Levels and Neurodegenerative Diseases: Systematic Review and Meta-Analysis. NeuroImmunoModulation. 29(2). 85–96. 15 indexed citations

10.

Bae, Jung‐Woo, et al.. (2020). Effects of CYP2D6 genetic polymorphism on the pharmacokinetics of metoclopramide. Archives of Pharmacal Research. 43(11). 1207–1213. 29 indexed citations

11.

Lee, Yun Jeong, et al.. (2020). ABCB1 c.2677G>T/c.3435C>T diplotype increases the early-phase oral absorption of losartan. Archives of Pharmacal Research. 43(11). 1187–1196. 26 indexed citations

12.

Bae, Jung‐Woo, et al.. (2019). Population pharmacokinetic analysis of tramadol and O-desmethyltramadol with genetic polymorphism of CYP2D6. Drug Design Development and Therapy. Volume 13. 1751–1761. 14 indexed citations

13.

Kim, Se‐Hyung, Do-Hoon Kim, Young‐Hoon Kim, et al.. (2016). Effects of CYP2C9 genetic polymorphisms on the pharmacokinetics of celecoxib and its carboxylic acid metabolite. Archives of Pharmacal Research. 40(3). 382–390. 43 indexed citations

14.

Bae, Jung‐Woo, et al.. (2016). Drug-Drug Interaction of Paroxetine and Atomoxetine in Different CYP2D6 Genotypes. Clinical Therapeutics. 38(10). e23–e23. 2 indexed citations

15.

Bae, Jung‐Woo, Chang‐Ik Choi, Hye-In Lee, et al.. (2012). Effects of CYP2C9*1/*3 and *1/*13 on the pharmacokinetics of losartan and its active metabolite E-3174. International Journal of Clinical Pharmacology and Therapeutics. 50(9). 683–689. 21 indexed citations

16.

Bae, Jung‐Woo, et al.. (2011). Frequency of CYP2C9 alleles in Koreans and their effects on losartan pharmacokinetics. Acta Pharmacologica Sinica. 32(10). 1303–1308. 40 indexed citations

17.

Choi, Chang‐Ik, Mi‐Jeong Kim, Choon‐Gon Jang, et al.. (2011). Effects of the CYP2C9*1/*13 Genotype on the Pharmacokinetics of Lornoxicam. Basic & Clinical Pharmacology & Toxicology. 109(6). 476–480. 25 indexed citations

18.

Bae, Jung‐Woo, et al.. (2010). Effects of UDP-glucuronosyltransferase polymorphisms on the pharmacokinetics of ezetimibe in healthy subjects. European Journal of Clinical Pharmacology. 67(1). 39–45. 17 indexed citations

19.

Bae, Jung‐Woo, Mi‐Jeong Kim, Choon‐Gon Jang, & Seok‐Yong Lee. (2007). Determination of meloxicam in human plasma using a HPLC method with UV detection and its application to a pharmacokinetic study. Journal of Chromatography B. 859(1). 69–73. 78 indexed citations

20.

Bae, Jung‐Woo, et al.. (2006). HPLC Determination of tolperisone in human plasma. Archives of Pharmacal Research. 29(4). 339–342. 21 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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