Sooyeun Lee

2.6k total citations
112 papers, 2.0k citations indexed

About

Sooyeun Lee is a scholar working on Toxicology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Sooyeun Lee has authored 112 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Toxicology, 39 papers in Cellular and Molecular Neuroscience and 38 papers in Molecular Biology. Recurrent topics in Sooyeun Lee's work include Forensic Toxicology and Drug Analysis (54 papers), Neurotransmitter Receptor Influence on Behavior (34 papers) and Hormonal and reproductive studies (22 papers). Sooyeun Lee is often cited by papers focused on Forensic Toxicology and Drug Analysis (54 papers), Neurotransmitter Receptor Influence on Behavior (34 papers) and Hormonal and reproductive studies (22 papers). Sooyeun Lee collaborates with scholars based in South Korea, Japan and United Kingdom. Sooyeun Lee's co-authors include Chul‐Ho Jeong, Heesun Chung, Hwakyung Choi, Jihyun Kim, Byoungduck Park, Young Ho Seo, Eunmi Kim, Jee‐Heon Jeong, Simmyung Yook and Sanghwan In and has published in prestigious journals such as Molecular and Cellular Biology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Sooyeun Lee

109 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sooyeun Lee South Korea 25 758 684 349 270 236 112 2.0k
Vera Marisa Costa Portugal 29 423 0.6× 874 1.3× 407 1.2× 209 0.8× 387 1.6× 111 2.8k
Sachiko Kondo Japan 24 277 0.4× 653 1.0× 661 1.9× 292 1.1× 1.5k 6.3× 53 2.7k
Toshiyuki Kimura Japan 21 136 0.2× 660 1.0× 253 0.7× 140 0.5× 585 2.5× 95 2.0k
Hideki Hattori Japan 22 236 0.3× 323 0.5× 133 0.4× 35 0.1× 154 0.7× 121 1.5k
Georgina Correia‐da‐Silva Portugal 32 249 0.3× 641 0.9× 183 0.5× 116 0.4× 1.3k 5.4× 112 2.8k
Oier Aizpurua‐Olaizola Spain 14 127 0.2× 440 0.6× 119 0.3× 63 0.2× 604 2.6× 25 1.3k
Flávia Carla Meotti Brazil 30 441 0.6× 740 1.1× 250 0.7× 92 0.3× 201 0.9× 66 2.7k
Marica Orioli Italy 29 90 0.1× 751 1.1× 55 0.2× 154 0.6× 280 1.2× 66 2.6k
Rie Ikeda Japan 19 84 0.1× 357 0.5× 80 0.2× 60 0.2× 109 0.5× 116 1.3k
Yoshitomo Suhara Japan 29 174 0.2× 841 1.2× 315 0.9× 836 3.1× 724 3.1× 102 3.6k

Countries citing papers authored by Sooyeun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sooyeun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sooyeun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sooyeun Lee. A scholar is included among the top collaborators of Sooyeun 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 Sooyeun Lee. Sooyeun 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
2.
Duwa, Ramesh, et al.. (2024). ROS-responsive thioketal nanoparticles delivering system for targeted ulcerative colitis therapy with potent HDAC6 inhibitor, tubastatin A. European Journal of Pharmaceutical Sciences. 201. 106856–106856. 8 indexed citations
4.
Katila, Nikita, Ramesh Duwa, Sunil Bhurtel, et al.. (2022). Enhancement of blood–brain barrier penetration and the neuroprotective effect of resveratrol. Journal of Controlled Release. 346. 1–19. 71 indexed citations
5.
Seo, Min Jae, et al.. (2020). Characteristics of Korean patients with methamphetamine use disorder based on the quantitative analysis of methamphetamine and amphetamine in hair. Archives of Pharmacal Research. 43(8). 798–807. 11 indexed citations
6.
Duwa, Ramesh, Fakhrossadat Emami, Sooyeun Lee, Jee‐Heon Jeong, & Simmyung Yook. (2019). Polymeric and lipid-based drug delivery systems for treatment of glioblastoma multiforme. Journal of Industrial and Engineering Chemistry. 79. 261–273. 38 indexed citations
7.
Jang, Won‐Jun, Byoungduck Park, Ji Hae Seo, et al.. (2019). Hair Metabolomics in Animal Studies and Clinical Settings. Molecules. 24(12). 2195–2195. 32 indexed citations
8.
Bae, Jung‐Woo, et al.. (2019). <p>Population pharmacokinetic analysis of tramadol and <em>O</em>-desmethyltramadol with genetic polymorphism of <em>CYP2D6</em></p>. Drug Design Development and Therapy. Volume 13. 1751–1761. 14 indexed citations
9.
Lee, Sooyeun, et al.. (2019). Repeated exposure to methiopropamine increases dendritic spine density in the rat nucleus accumbens core. Neurochemistry International. 129. 104487–104487. 3 indexed citations
11.
Noh, Gyubin, Taekwang Keum, Jo‐Eun Seo, et al.. (2018). Iontophoretic Transdermal Delivery of Human Growth Hormone (hGH) and the Combination Effect of a New Type Microneedle, Tappy Tok Tok®. Pharmaceutics. 10(3). 153–153. 23 indexed citations
12.
Song, Sang-Hoon, Won‐Jun Jang, Jihye Hwang, et al.. (2018). Transcriptome profiling of whisker follicles in methamphetamine self-administered rats. Scientific Reports. 8(1). 11420–11420. 6 indexed citations
13.
Lee, Sooyeun, et al.. (2014). A sensitive LC-MS/MS method for the simultaneous determination of 18 opioids and metabolites in human hair. 58–58. 1 indexed citations
14.
Lee, Sooyeun, et al.. (2014). An LC–MS/MS method for the determination of five erectile dysfunction drugs and their selected metabolites in hair. Journal of Chromatography B. 978-979. 1–10. 16 indexed citations
15.
Kim, Jihyun, et al.. (2014). Simultaneous determination of five naphthoylindole-based synthetic cannabinoids and metabolites and their deposition in human and rat hair. Journal of Pharmaceutical and Biomedical Analysis. 102. 162–175. 34 indexed citations
16.
Lee, Sooyeun, et al.. (2013). Quantitative LC–MS/MS method in urine for the detection of drugs used to reverse the effects of chemical castration. Analytical and Bioanalytical Chemistry. 405(10). 3185–3194. 10 indexed citations
17.
Choi, Hyeyoung, et al.. (2011). Simultaneous analysis of psychotropic phenylalkylamines in oral fluid by GC–MS with automated SPE and its application to legal cases. Forensic Science International. 215(1-3). 81–87. 27 indexed citations
18.
Choi, Hyeyoung, et al.. (2009). Analysis of cannabis in oral fluid specimens by GC-MS with automatic SPE. Science & Justice. 49(4). 242–246. 20 indexed citations
19.
Paterson, Sue, et al.. (2009). Analysis of hair after contamination with blood containing cocaine and blood containing benzoylecgonine. Forensic Science International. 194(1-3). 94–96. 14 indexed citations
20.
Lee, Sooyeun, Yonghoon Park, Eunyoung Han, et al.. (2008). Preparation and application of a fortified hair reference material for the determination of methamphetamine and amphetamine. Forensic Science International. 178(2-3). 207–212. 23 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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