Kyeong‐Ryoon Lee

1.1k total citations
70 papers, 790 citations indexed

About

Kyeong‐Ryoon Lee is a scholar working on Molecular Biology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kyeong‐Ryoon Lee has authored 70 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 25 papers in Oncology and 11 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Kyeong‐Ryoon Lee's work include Drug Transport and Resistance Mechanisms (21 papers), Pharmacological Effects and Toxicity Studies (11 papers) and Pharmacogenetics and Drug Metabolism (8 papers). Kyeong‐Ryoon Lee is often cited by papers focused on Drug Transport and Resistance Mechanisms (21 papers), Pharmacological Effects and Toxicity Studies (11 papers) and Pharmacogenetics and Drug Metabolism (8 papers). Kyeong‐Ryoon Lee collaborates with scholars based in South Korea, United States and Japan. Kyeong‐Ryoon Lee's co-authors include Yoon‐Jee Chae, Suk‐Jae Chung, Tae‐Sung Koo, Myung Ae Bae, Soojin Kim, Yuichi Sugiyama, Han‐Joo Maeng, Seiji Miyauchi, Chang‐Koo Shim and Dae‐Seop Shin and has published in prestigious journals such as Chemosphere, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Kyeong‐Ryoon Lee

67 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyeong‐Ryoon Lee South Korea 16 239 179 81 68 68 70 790
Vânia Vilas‐Boas Portugal 22 359 1.5× 371 2.1× 123 1.5× 58 0.9× 99 1.5× 38 1.3k
Kuniko Mitamura Japan 17 544 2.3× 186 1.0× 110 1.4× 44 0.6× 44 0.6× 82 1.4k
Barbara Tomasello Italy 22 512 2.1× 84 0.5× 35 0.4× 50 0.7× 19 0.3× 55 1.3k
Yuri Takahashi Japan 21 501 2.1× 111 0.6× 63 0.8× 72 1.1× 59 0.9× 58 1.2k
Georg Karlaganis Switzerland 20 189 0.8× 411 2.3× 157 1.9× 93 1.4× 82 1.2× 56 1.1k
Timo Korjamo Finland 17 310 1.3× 373 2.1× 170 2.1× 78 1.1× 134 2.0× 29 1.0k
Appavu Chandrasekaran United States 15 178 0.7× 82 0.5× 92 1.1× 54 0.8× 22 0.3× 43 595
So Hee Kim South Korea 16 278 1.2× 157 0.9× 193 2.4× 61 0.9× 38 0.6× 50 848
Franziska Boess Switzerland 19 623 2.6× 175 1.0× 343 4.2× 37 0.5× 40 0.6× 31 1.4k
Ying Peng China 19 487 2.0× 203 1.1× 396 4.9× 113 1.7× 35 0.5× 70 1.1k

Countries citing papers authored by Kyeong‐Ryoon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kyeong‐Ryoon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyeong‐Ryoon Lee. 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 Kyeong‐Ryoon Lee. The network helps show where Kyeong‐Ryoon Lee may publish in the future.

Co-authorship network of co-authors of Kyeong‐Ryoon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kyeong‐Ryoon Lee. A scholar is included among the top collaborators of Kyeong‐Ryoon Lee 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 Kyeong‐Ryoon Lee. Kyeong‐Ryoon Lee 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.
Yang, Jung Yoon, Dae‐Seop Shin, Seong Soon Kim, et al.. (2024). Evaluation of Drug Blood-Brain-Barrier Permeability Using a Microfluidic Chip. Pharmaceutics. 16(5). 574–574. 11 indexed citations
3.
Kang, Minji, Kyeong‐Ryoon Lee, You‐Jin Choi, & Yoon‐Jee Chae. (2024). Identification of flavonol derivatives inhibiting MDR1: a strategy to overcome multidrug resistance in cancer. Natural Product Research. 40(5). 1219–1227. 1 indexed citations
4.
Lee, Kyeong‐Ryoon, et al.. (2024). Drug Interaction-Informed Approaches to Inflammatory Bowel Disease Management. Pharmaceutics. 16(11). 1431–1431. 2 indexed citations
5.
6.
Lee, Dohee, et al.. (2023). A Preliminary Study of Pharmacokinetics and Pharmacodynamics of Oral Fingolimod in Dogs. In Vivo. 37(5). 2128–2133. 1 indexed citations
7.
Shin, Kwang‐Hee, Kyeong‐Ryoon Lee, Minji Kang, & Yoon‐Jee Chae. (2023). Strong inhibition of organic cation transporter 2 by flavonoids and attenuation effects on cisplatin-induced cytotoxicity. Chemico-Biological Interactions. 379. 110504–110504. 4 indexed citations
8.
Yang, Ji-Hye, et al.. (2023). Proline-Hinged α-Helical Peptides Sensitize Gram-Positive Antibiotics, Expanding Their Physicochemical Properties to Be Used as Gram-Negative Antibiotics. Journal of Medicinal Chemistry. 67(3). 1825–1842. 5 indexed citations
9.
Lee, Dohee, et al.. (2022). Pharmacokinetics of fluconazole after oral administration to healthy beagle dogs. Veterinary Dermatology. 33(6). 509–515. 1 indexed citations
10.
Kim, Hanseop, Junho K. Hur, Kyung Seob Lim, et al.. (2022). Highly specific chimeric DNA-RNA-guided genome editing with enhanced CRISPR-Cas12a system. Molecular Therapy — Nucleic Acids. 28. 353–362. 12 indexed citations
11.
12.
Kim, Min‐Soo, et al.. (2021). Development of Physiologically Based Pharmacokinetic Model for Orally Administered Fexuprazan in Humans. Pharmaceutics. 13(6). 813–813. 16 indexed citations
13.
Lee, Sung‐Jin, Jieun Choi, Min Ju Kim, et al.. (2021). Interplay among Conformation, Intramolecular Hydrogen Bonds, and Chameleonicity in the Membrane Permeability and Cyclophilin A Binding of Macrocyclic Peptide Cyclosporin O Derivatives. Journal of Medicinal Chemistry. 64(12). 8272–8286. 28 indexed citations
14.
Gim, Jeong‐An, et al.. (2020). A Machine Learning-Based Identification of Genes Affecting the Pharmacokinetics of Tacrolimus Using the DMETTM Plus Platform. International Journal of Molecular Sciences. 21(7). 2517–2517. 10 indexed citations
15.
Kim, Seong Soon, Kyu-Seok Hwang, Jung Yoon Yang, et al.. (2019). Neurochemical and behavioral analysis by acute exposure to bisphenol A in zebrafish larvae model. Chemosphere. 239. 124751–124751. 69 indexed citations
16.
Kim, Seong Soon, Jung Yoon Yang, Yu‐Ri Lee, et al.. (2017). Zebrafish as a Screening Model for Testing the Permeability of Blood–Brain Barrier to Small Molecules. Zebrafish. 14(4). 322–330. 44 indexed citations
17.
Song, Jin Sook, Kyeong‐Ryoon Lee, Sang Dal Rhee, et al.. (2012). Pharmacokinetics and Pharmacodynamics of KR-66223 a Novel DPP-4 Inhibitor. Drug Metabolism and Pharmacokinetics. 27(2). 216–222. 1 indexed citations
18.
Lee, Kyeong‐Ryoon, Dae‐Seop Shin, Hang‐Suk Chun, et al.. (2012). Predicted drug-induced bradycardia related cardio toxicity using a zebrafish in vivo model is highly correlated with results from in vitro tests. Toxicology Letters. 216(1). 9–15. 24 indexed citations
19.
Lee, Jong‐Hwa, Yoon‐Jee Chae, Kyeong‐Ryoon Lee, et al.. (2012). Development of a LC–MS method for quantification of FK-3000 and its application to in vivo pharmacokinetic study in drug development. Journal of Pharmaceutical and Biomedical Analysis. 70. 587–591. 5 indexed citations
20.
Song, Jin Sook, Jung‐woo Chae, Kyeong‐Ryoon Lee, et al.. (2011). Pharmacokinetic characterization of decursinol derived fromAngelica gigasNakai in rats. Xenobiotica. 41(10). 895–902. 29 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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