Jae-Rin Lee

542 total citations
25 papers, 423 citations indexed

About

Jae-Rin Lee is a scholar working on Molecular Biology, Cell Biology and Nutrition and Dietetics. According to data from OpenAlex, Jae-Rin Lee has authored 25 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cell Biology and 5 papers in Nutrition and Dietetics. Recurrent topics in Jae-Rin Lee's work include melanin and skin pigmentation (5 papers), Biochemical Analysis and Sensing Techniques (5 papers) and Muscle Physiology and Disorders (3 papers). Jae-Rin Lee is often cited by papers focused on melanin and skin pigmentation (5 papers), Biochemical Analysis and Sensing Techniques (5 papers) and Muscle Physiology and Disorders (3 papers). Jae-Rin Lee collaborates with scholars based in South Korea, China and United Kingdom. Jae-Rin Lee's co-authors include Myong‐Joon Hahn, Jun‐Mo Yang, Yong‐Doo Park, Jong‐Sun Kang, Gyu‐Un Bae, Young-Eun Leem, Kyung‐Hee Park, Sang-Jin Lee, Jin‐Hyun Ahn and Jiwon Han and has published in prestigious journals such as Journal of Molecular Biology, Journal of Virology and Biochemical and Biophysical Research Communications.

In The Last Decade

Jae-Rin Lee

25 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae-Rin Lee South Korea 14 238 123 68 56 54 25 423
Anjali Shukla United States 13 322 1.4× 74 0.6× 76 1.1× 42 0.8× 20 0.4× 27 559
Zhe Gao China 12 171 0.7× 59 0.5× 23 0.3× 30 0.5× 39 0.7× 13 367
Kazuaki Tatei Japan 12 385 1.6× 56 0.5× 37 0.5× 50 0.9× 26 0.5× 19 582
Xiaowei Ma China 11 249 1.0× 63 0.5× 39 0.6× 33 0.6× 124 2.3× 24 606
Renato Morandini Belgium 13 274 1.2× 143 1.2× 52 0.8× 173 3.1× 38 0.7× 15 534
Fouad Azizi United States 11 299 1.3× 131 1.1× 19 0.3× 45 0.8× 22 0.4× 16 494
Chantal Jayat‐Vignoles France 13 324 1.4× 92 0.7× 20 0.3× 162 2.9× 39 0.7× 19 638
Ken Kitajima Japan 13 343 1.4× 84 0.7× 32 0.5× 49 0.9× 45 0.8× 32 609
Amina R. Gani India 7 204 0.9× 293 2.4× 76 1.1× 104 1.9× 49 0.9× 7 504

Countries citing papers authored by Jae-Rin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jae-Rin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae-Rin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Rin Lee. A scholar is included among the top collaborators of Jae-Rin 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 Jae-Rin Lee. Jae-Rin 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.
Go, Ga-Yeon, Jae-Rin Lee, Yideul Jeong, et al.. (2024). Epsti1 Regulates the Inflammatory Stage of Early Muscle Regeneration through STAT1-VCP Interaction. International Journal of Biological Sciences. 20(9). 3530–3543. 1 indexed citations
2.
Yin, Shang‐Jun, Jae-Rin Lee, Myong‐Joon Hahn, et al.. (2020). Tyrosinase-mediated melanogenesis in melanoma cells: Array comparative genome hybridization integrating proteomics and bioinformatics studies. International Journal of Biological Macromolecules. 170. 150–163. 10 indexed citations
3.
Vuong, Tuan Anh, Sang-Jin Lee, Young-Eun Leem, et al.. (2019). SGTb regulates a surface localization of a guidance receptor BOC to promote neurite outgrowth. Cellular Signalling. 55. 100–108. 7 indexed citations
4.
Zhang, Lili, Shang‐Jun Yin, Myong‐Joon Hahn, et al.. (2019). An OMICS-based study of the role of C3dg in keratinocytes: RNA sequencing, antibody-chip array, and bioinformatics approaches. International Journal of Biological Macromolecules. 133. 391–411. 5 indexed citations
5.
Lee, Jae-Rin, et al.. (2019). The inhibition of chloride intracellular channel 1 enhances Ca2+ and reactive oxygen species signaling in A549 human lung cancer cells. Experimental & Molecular Medicine. 51(7). 1–11. 17 indexed citations
6.
Li, Hailong, Jae-Rin Lee, Myong‐Joon Hahn, et al.. (2019). The omics based study for the role of superoxide dismutase 2 (SOD2) in keratinocytes: RNA sequencing, antibody-chip array and bioinformatics approaches. Journal of Biomolecular Structure and Dynamics. 38(10). 2884–2897. 4 indexed citations
7.
Go, Ga-Yeon, Sang-Jin Lee, A-Young Jo, et al.. (2018). Bisphenol A and estradiol impede myoblast differentiation through down-regulating Akt signaling pathway. Toxicology Letters. 292. 12–19. 19 indexed citations
8.
Lee, Jae-Rin, et al.. (2017). Regulation of inflammatory gene expression in macrophages by epithelial-stromal interaction 1 (Epsti1). Biochemical and Biophysical Research Communications. 496(2). 778–783. 37 indexed citations
9.
Lee, Sang-Jin, Hyeon‐Ju Jeong, Ga-Yeon Go, et al.. (2016). PKN2 and Cdo interact to activate AKT and promote myoblast differentiation. Cell Death and Disease. 7(10). e2431–e2431. 34 indexed citations
10.
Bae, Gyu‐Un, Jae-Rin Lee, Jiwon Han, et al.. (2010). Cdo Interacts with APPL1 and Activates AKT in Myoblast Differentiation. Molecular Biology of the Cell. 21(14). 2399–2411. 52 indexed citations
11.
Kim, Dong Young, et al.. (2007). The Crystal Structure of Guamerin in Complex with Chymotrypsin and the Development of an Elastase-specific Inhibitor. Journal of Molecular Biology. 376(1). 184–192. 13 indexed citations
12.
Han, Hongyan, et al.. (2007). Effect of Clon Tyrosinase: Complex Inhibition Kinetics and Biochemical Implication. Journal of Biomolecular Structure and Dynamics. 25(2). 165–171. 30 indexed citations
13.
Lee, Sang-Jin, Jae-Rin Lee, Young-Hoon Kim, et al.. (2007). PIAS1 interacts with the KRAB zinc finger protein, ZNF133, via zinc finger motifs and regulates its transcriptional activity. Experimental & Molecular Medicine. 39(4). 450–457. 12 indexed citations
15.
Park, Kyung‐Hee, Yong‐Doo Park, Jae-Rin Lee, et al.. (2005). Inhibition kinetics of mushroom tyrosinase by copper-chelating ammonium tetrathiomolybdate. Biochimica et Biophysica Acta (BBA) - General Subjects. 1726(1). 115–120. 21 indexed citations
16.
Lee, Jae-Rin, et al.. (2005). Immunoaffinity purification of SRT-tagged human creatine kinase by peptide elution. Journal of Biotechnology. 117(3). 287–291. 3 indexed citations
17.
Kim, Hyun Jung, Shin‐Wook Kang, Jae-Rin Lee, et al.. (2004). Identification of cyclophilin A as a CD99-binding protein by yeast two-hybrid screening. Immunology Letters. 95(2). 155–159. 2 indexed citations
18.
Lee, Young-Man, et al.. (2003). Determination of substrate specificity and putative substrates of Chk2 kinase. Biochemical and Biophysical Research Communications. 304(2). 339–343. 40 indexed citations
19.
Park, Yong‐Doo, et al.. (2003). A New Continuous Spectrophotometric Assay Method for DOPA Oxidase Activity of Tyrosinase. Journal of Protein Chemistry. 22(5). 473–480. 16 indexed citations
20.
Park, Yong‐Doo, Jae-Rin Lee, Kyung‐Hee Park, et al.. (2003). Aggregation and Folding of Recombinant Human Creatine Kinase. Journal of Protein Chemistry. 22(6). 563–570. 14 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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