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

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Internal standard strategies for amino acid and polyamine quantification in rat urine and plasma via chemical derivatization-assisted LC–MS/MS 2025 ·Microchemical Journal ·(unknown), Sang-Hoon Song, (unknown), (unknown), Sooyeun Lee	0
2	ROS-responsive thioketal nanoparticles delivering system for targeted ulcerative colitis therapy with potent HDAC6 inhibitor, tubastatin A 2024 ·European Journal of Pharmaceutical Sciences ·(unknown), Ramesh Duwa, Sooyeun Lee, Taeg Kyu Kwon, Jee‐Heon Jeong, Simmyung Yook	8
3	Exploring the progression of drug dependence in a methamphetamine self-administration rat model through targeted and non-targeted metabolomics analyses 2024 ·Scientific Reports ·Sang-Hoon Song, (unknown), Won‐Jun Jang, In Soo Ryu, Chul‐Ho Jeong, Sooyeun Lee	2
4	Enhancement of blood–brain barrier penetration and the neuroprotective effect of resveratrol 2022 ·Journal of Controlled Release ·Nikita Katila, Ramesh Duwa, Sunil Bhurtel, (unknown), (unknown), Jee‐Heon Jeong, Sooyeun Lee, Dong‐Young Choi, Simmyung Yook	71
5	Characteristics of Korean patients with methamphetamine use disorder based on the quantitative analysis of methamphetamine and amphetamine in hair 2020 ·Archives of Pharmacal Research ·Min Jae Seo, Sang-Hoon Song, (unknown), Won‐Jun Jang, Chul‐Ho Jeong, Sooyeun Lee	11
6	Polymeric and lipid-based drug delivery systems for treatment of glioblastoma multiforme 2019 ·Journal of Industrial and Engineering Chemistry ·Ramesh Duwa, Fakhrossadat Emami, Sooyeun Lee, Jee‐Heon Jeong, Simmyung Yook	38
7	Hair Metabolomics in Animal Studies and Clinical Settings 2019 ·Molecules ·Won‐Jun Jang, (unknown), Byoungduck Park, Ji Hae Seo, Young Ho Seo, Sang Kil Lee, Chul‐Ho Jeong, Sooyeun Lee	32
8	<p>Population pharmacokinetic analysis of tramadol and <em>O</em>-desmethyltramadol with genetic polymorphism of <em>CYP2D6</em></p> 2019 ·Drug Design Development and Therapy ·(unknown), (unknown), Jung‐Woo Bae, Sooyeun Lee, Kwang‐Hee Shin	14
9	Repeated exposure to methiopropamine increases dendritic spine density in the rat nucleus accumbens core 2019 ·Neurochemistry International ·(unknown), (unknown), Sooyeun Lee, Jeong‐Hoon Kim	3
10	Development of a Column-Switching HPLC-MS/MS Method and Clinical Application for Determination of Ethyl Glucuronide in Hair in Conjunction with AUDIT for Detecting High-Risk Alcohol Consumption 2018 ·Pharmaceutics ·(unknown), (unknown), Hwakyung Choi, Sooyeun Lee	5
11	Iontophoretic Transdermal Delivery of Human Growth Hormone (hGH) and the Combination Effect of a New Type Microneedle, Tappy Tok Tok® 2018 ·Pharmaceutics ·Gyubin Noh, Taekwang Keum, Jo‐Eun Seo, Santosh Bashyal, (unknown), (unknown), Sooyeun Lee, (unknown), Dong Hwan Sohn, Sang Kil Lee	23
12	Transcriptome profiling of whisker follicles in methamphetamine self-administered rats 2018 ·Scientific Reports ·Sang-Hoon Song, Won‐Jun Jang, Jihye Hwang, Byoungduck Park, Jung‐Hee Jang, Youngho Seo, Chae Ha Yang, Sooyeun Lee, Chul‐Ho Jeong	6
13	A sensitive LC-MS/MS method for the simultaneous determination of 18 opioids and metabolites in human hair 2014 ·Sooyeun Lee, (unknown), (unknown)	1
14	An LC–MS/MS method for the determination of five erectile dysfunction drugs and their selected metabolites in hair 2014 ·Journal of Chromatography B ·Sooyeun Lee, (unknown), Jihyun Kim, Sanghwan In, (unknown), Seung Min Oh, Kyu Hyuck Chung	16
15	Simultaneous determination of five naphthoylindole-based synthetic cannabinoids and metabolites and their deposition in human and rat hair 2014 ·Journal of Pharmaceutical and Biomedical Analysis ·Jihyun Kim, (unknown), Meejung Park, Eunmi Kim, Wonkyung Yang, (unknown), Sooyeun Lee, (unknown)	34
16	Quantitative LC–MS/MS method in urine for the detection of drugs used to reverse the effects of chemical castration 2013 ·Analytical and Bioanalytical Chemistry ·Sooyeun Lee, (unknown), (unknown), (unknown), Sangki Lee, Seung Min Oh, Kyu Hyuck Chung	10
17	Simultaneous analysis of psychotropic phenylalkylamines in oral fluid by GC–MS with automated SPE and its application to legal cases 2011 ·Forensic Science International ·Hyeyoung Choi, (unknown), Moonhee Jang, Sooyeun Lee, Hwakyung Choi, Heesun Chung	27
18	Analysis of cannabis in oral fluid specimens by GC-MS with automatic SPE 2009 ·Science & Justice ·Hyeyoung Choi, (unknown), Eunmi Kim, Sooyeun Lee, Moonhee Jang, (unknown), (unknown), (unknown), Heesun Chung	20
19	Analysis of hair after contamination with blood containing cocaine and blood containing benzoylecgonine 2009 ·Forensic Science International ·Sue Paterson, Sooyeun Lee, (unknown)	14
20	Preparation and application of a fortified hair reference material for the determination of methamphetamine and amphetamine 2008 ·Forensic Science International ·Sooyeun Lee, Yonghoon Park, Eunyoung Han, Sanggil Choe, Mi-Ae Lim, Heesun Chung	23

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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