Jun‐Seok Lee

6.1k total citations
228 papers, 4.8k citations indexed

About

Jun‐Seok Lee is a scholar working on Molecular Biology, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Jun‐Seok Lee has authored 228 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 45 papers in Organic Chemistry and 29 papers in Biomedical Engineering. Recurrent topics in Jun‐Seok Lee's work include Click Chemistry and Applications (39 papers), Advanced biosensing and bioanalysis techniques (21 papers) and Luminescence and Fluorescent Materials (20 papers). Jun‐Seok Lee is often cited by papers focused on Click Chemistry and Applications (39 papers), Advanced biosensing and bioanalysis techniques (21 papers) and Luminescence and Fluorescent Materials (20 papers). Jun‐Seok Lee collaborates with scholars based in South Korea, Singapore and United States. Jun‐Seok Lee's co-authors include Young‐Tae Chang, Yun Kyung Kim, Shao Q. Yao, Marc Vendrell, Dhiraj P. Murale, Md. Mamunul Haque, Zhengqiu Li, Seong Cheol Hong, Nam‐Young Kang and Jae Wook Lee and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Angewandte Chemie International Edition.

In The Last Decade

Jun‐Seok Lee

215 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun‐Seok Lee South Korea 40 1.8k 1.1k 929 901 743 228 4.8k
Shaohua Huang China 35 953 0.5× 779 0.7× 478 0.5× 695 0.8× 457 0.6× 180 4.2k
Zhiwei Yang China 43 1.5k 0.8× 901 0.8× 1.1k 1.2× 1.3k 1.4× 314 0.4× 235 6.0k
Ying Tan China 41 2.6k 1.5× 404 0.4× 990 1.1× 1.3k 1.5× 892 1.2× 194 5.8k
Jerry Yang United States 35 1.8k 1.0× 824 0.7× 1.8k 2.0× 668 0.7× 315 0.4× 114 4.6k
Sang‐Won Lee South Korea 43 3.2k 1.7× 369 0.3× 695 0.7× 989 1.1× 1.1k 1.5× 271 7.1k
Xiaoliang Wang China 45 1.1k 0.6× 933 0.8× 1.6k 1.7× 1.2k 1.3× 381 0.5× 240 6.1k
Xun Li China 42 3.5k 1.9× 816 0.7× 336 0.4× 942 1.0× 383 0.5× 181 7.4k
Tae Hyun Kim South Korea 44 1.8k 1.0× 816 0.7× 1.5k 1.6× 2.0k 2.3× 1.5k 2.0× 317 8.7k
Yuhong Liu China 47 1.4k 0.8× 381 0.3× 1.4k 1.5× 2.4k 2.7× 607 0.8× 322 8.9k
Sung Jin Park South Korea 36 1.5k 0.8× 256 0.2× 1.4k 1.5× 930 1.0× 667 0.9× 179 4.9k

Countries citing papers authored by Jun‐Seok Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Seok Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun‐Seok Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Seok Lee. A scholar is included among the top collaborators of Jun‐Seok 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 Jun‐Seok Lee. Jun‐Seok 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.
Moliner, Fabio De, M. Carmen Ortega‐Liebana, Zhiming Cheng, et al.. (2024). Tuning singlet oxygen generation with caged organic photosensitizers. Nature Communications. 15(1). 7689–7689. 15 indexed citations
3.
Kim, Hyunju, et al.. (2023). Metformin acts as a dual glucose regulator in mouse brain. Frontiers in Pharmacology. 14. 1108660–1108660. 3 indexed citations
4.
Abdel‐Maksoud, Mohammed S., Eslam M.H. Ali, Usama M. Ammar, et al.. (2023). Evaluation of novel pyrazol-4-yl pyridine derivatives possessing arylsulfonamide tethers as c-Jun N-terminal kinase (JNK) inhibitors in leukemia cells. European Journal of Medicinal Chemistry. 261. 115779–115779. 8 indexed citations
5.
Lim, Sungsu, Seulgi Shin, Ha Eun Lee, et al.. (2023). Levosimendan inhibits disulfide tau oligomerization and ameliorates tau pathology in TauP301L-BiFC mice. Experimental & Molecular Medicine. 55(3). 612–627. 7 indexed citations
7.
Lee, Jung Yeol, Seulgi Shin, Zhiqiang Li, et al.. (2023). NeuM: A Neuron‐Selective Probe Incorporates into Live Neuronal Membranes via Enhanced Clathrin‐Mediated Endocytosis in Primary Neurons. Angewandte Chemie International Edition. 63(3). e202312942–e202312942. 2 indexed citations
8.
Lee, Jung Yeol, Seulgi Shin, Zhiqiang Li, et al.. (2023). NeuM: A Neuron‐Selective Probe Incorporates into Live Neuronal Membranes via Enhanced Clathrin‐Mediated Endocytosis in Primary Neurons. Angewandte Chemie. 136(3). 1 indexed citations
9.
Chung, Hannah, et al.. (2022). Bioinformatic Expansion of Borosins Uncovers Trans-Acting Peptide Backbone N-Methyltransferases in Bacteria. Biochemistry. 61(3). 183–194. 14 indexed citations
10.
Lee, Jun‐Seok, et al.. (2021). Application of fluorescent turn-on aptamers in RNA studies. Molecular Omics. 17(4). 483–491. 4 indexed citations
11.
Haque, Md. Mamunul, Dhiraj P. Murale, Yun Kyung Kim, & Jun‐Seok Lee. (2019). Crosstalk between Oxidative Stress and Tauopathy. International Journal of Molecular Sciences. 20(8). 1959–1959. 61 indexed citations
12.
Qian, Linghui, Sijun Pan, Jun‐Seok Lee, et al.. (2018). Live-cell imaging and profiling of c-Jun N-terminal kinases using covalent inhibitor-derived probes. Chemical Communications. 55(8). 1092–1095. 14 indexed citations
13.
Pan, Sijun, Seyoung Jang, Danyang Wang, et al.. (2017). A Suite of “Minimalist” Photo‐Crosslinkers for Live‐Cell Imaging and Chemical Proteomics: Case Study with BRD4 Inhibitors. Angewandte Chemie International Edition. 56(39). 11816–11821. 60 indexed citations
14.
Pan, Sijun, Seyoung Jang, Danyang Wang, et al.. (2017). A Suite of “Minimalist” Photo‐Crosslinkers for Live‐Cell Imaging and Chemical Proteomics: Case Study with BRD4 Inhibitors. Angewandte Chemie. 129(39). 11978–11983. 17 indexed citations
15.
Pan, Sijun, Seyoung Jang, Si Si Liew, et al.. (2017). A Vinyl Sulfone‐Based Fluorogenic Probe Capable of Selective Labeling of PHGDH in Live Mammalian Cells. Angewandte Chemie International Edition. 57(2). 579–583. 43 indexed citations
16.
Kim, Yun Kyung, et al.. (2011). Site-selective labeling at Cys302 of aldehyde dehydrogenase unveils a selective mitochondrial stain. Molecular BioSystems. 7(8). 2375–2378. 5 indexed citations
17.
Lee, Jun‐Seok, Yun Kyung Kim, Marc Vendrell, & Young‐Tae Chang. (2009). Diversity-oriented fluorescence library approach for the discovery of sensors and probes. Molecular BioSystems. 5(5). 411–421. 72 indexed citations
18.
Lee, Jun‐Seok, et al.. (2007). Changes of Brain Potentials in Response to Smoking-Induced Stimuli in Smokers. CyberPsychology & Behavior. 10(3). 460–463. 7 indexed citations
19.
Lee, Jun‐Seok, et al.. (2007). Factor Structure on the Korean Version of Tellegen Absorption Scale. 15(2). 88–92. 1 indexed citations
20.
Lee, Jun‐Seok, Jong-Soo Kim, & Seung-Oh Kim. (2006). INTRAVENOUS SEDATION WITH MIDAZOLAM. 2(2). 142–146. 2 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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