Su-Hyun Lee

844 total citations · 1 hit paper
10 papers, 677 citations indexed

About

Su-Hyun Lee is a scholar working on Small Animals, Molecular Biology and Mechanical Engineering. According to data from OpenAlex, Su-Hyun Lee has authored 10 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Small Animals, 3 papers in Molecular Biology and 2 papers in Mechanical Engineering. Recurrent topics in Su-Hyun Lee's work include Animal testing and alternatives (3 papers), Meta-analysis and systematic reviews (2 papers) and Membrane Separation and Gas Transport (2 papers). Su-Hyun Lee is often cited by papers focused on Animal testing and alternatives (3 papers), Meta-analysis and systematic reviews (2 papers) and Membrane Separation and Gas Transport (2 papers). Su-Hyun Lee collaborates with scholars based in South Korea, Japan and United States. Su-Hyun Lee's co-authors include Jin‐Young Yang, Yong Soo Lee, Yeji Kim, Mi–Na Kweon, Nan Gao, Seungil Kim, Kwang Soon Kim, Tae Young Kim, Sung Wan Kang and Nobuhiko Kamada and has published in prestigious journals such as Immunity, Cell Host & Microbe and RSC Advances.

In The Last Decade

Su-Hyun Lee

10 papers receiving 671 citations

Hit Papers

Microbiota-Derived Lactate Accelerates Intestinal Stem-Ce... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su-Hyun Lee South Korea 9 332 115 95 86 82 10 677
Zhengrong Gao China 20 402 1.2× 77 0.7× 125 1.3× 109 1.3× 60 0.7× 47 969
Felipe Varum United Kingdom 18 274 0.8× 67 0.6× 141 1.5× 39 0.5× 140 1.7× 23 1.1k
Wenjun Zhu China 14 498 1.5× 60 0.5× 102 1.1× 52 0.6× 136 1.7× 24 1.2k
Xingxing Ren China 20 465 1.4× 67 0.6× 81 0.9× 85 1.0× 60 0.7× 42 1.1k
Qiwei Ge China 13 519 1.6× 82 0.7× 60 0.6× 76 0.9× 73 0.9× 17 876
Tadashi Takeuchi Japan 17 517 1.6× 74 0.6× 105 1.1× 118 1.4× 73 0.9× 44 1.1k
Nilesh J. Bokil Australia 15 395 1.2× 93 0.8× 69 0.7× 57 0.7× 35 0.4× 22 906
Nikhil Aggarwal Singapore 10 379 1.1× 76 0.7× 69 0.7× 72 0.8× 127 1.5× 12 672
Fattah Sotoodehnejadnematalahi Iran 16 379 1.1× 139 1.2× 33 0.3× 47 0.5× 50 0.6× 65 687

Countries citing papers authored by Su-Hyun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Su-Hyun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su-Hyun Lee

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

All Works

10 of 10 papers shown
1.
Han, Juhee, Su-Hyun Lee, Tae Sung Kim, et al.. (2020). Me-too validation study for in vitro skin irritation test with a reconstructed human epidermis model, KeraSkin™ for OECD test guideline 439. Regulatory Toxicology and Pharmacology. 117. 104725–104725. 16 indexed citations
3.
Lee, Yong Soo, Tae Young Kim, Yeji Kim, et al.. (2018). Microbiota-Derived Lactate Accelerates Intestinal Stem-Cell-Mediated Epithelial Development. Cell Host & Microbe. 24(6). 833–846.e6. 340 indexed citations breakdown →
4.
Jang, Won-Hee, Su-Hyun Lee, Kyung Yuk Ko, et al.. (2018). Me-too validation study for in vitro eye irritation test with 3D-reconstructed human cornea epithelium, MCTT HCETM. Toxicology in Vitro. 55. 173–184. 16 indexed citations
5.
Cho, Doo‐Yeoun, et al.. (2018). A Randomized Clinical Trial of Synbiotics in Irritable Bowel Syndrome: Dose-Dependent Effects on Gastrointestinal Symptoms and Fatigue. Korean Journal of Family Medicine. 40(1). 2–8. 20 indexed citations
6.
Kim, Minjung, Gyo‐Jeong Gu, Su-Hyun Lee, et al.. (2018). Fasiglifam (TAK-875), a G Protein-Coupled Receptor 40 (GPR40) Agonist, May Induce Hepatotoxicity through Reactive Oxygen Species Generation in a GPR40-Dependent Manner. Biomolecules & Therapeutics. 26(6). 599–607. 21 indexed citations
7.
Yang, Jin‐Young, Min‐Soo Kim, Jae Hee Cheon, et al.. (2016). Enteric Viruses Ameliorate Gut Inflammation via Toll-like Receptor 3 and Toll-like Receptor 7-Mediated Interferon-β Production. Immunity. 44(4). 889–900. 156 indexed citations
8.
Yoo, JongTae, Su-Hyun Lee, Chang Kee Lee, et al.. (2015). In Situ Synthesis of Covalent Organic Frameworks (COFs) on Carbon Nanotubes and Graphenes by Sonochemical Reaction for CO2 Adsorbents. Chemistry Letters. 44(4). 560–562. 38 indexed citations
9.
Yoo, JongTae, Su-Hyun Lee, Chang Kee Lee, et al.. (2014). Homogeneous decoration of zeolitic imidazolate framework-8 (ZIF-8) with core–shell structures on carbon nanotubes. RSC Advances. 4(91). 49614–49619. 46 indexed citations
10.
Chae, Kyung C., Sangmin Lee, & Su-Hyun Lee. (2008). The Discrete-Time GI/Geo/1 Queue with Single Geometric Vacation. Quality Technology & Quantitative Management. 5(1). 21–31. 6 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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