Yeo‐Jung Kwon

753 total citations
28 papers, 596 citations indexed

About

Yeo‐Jung Kwon is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Yeo‐Jung Kwon has authored 28 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Yeo‐Jung Kwon's work include Wnt/β-catenin signaling in development and cancer (5 papers), Epigenetics and DNA Methylation (4 papers) and Estrogen and related hormone effects (4 papers). Yeo‐Jung Kwon is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (5 papers), Epigenetics and DNA Methylation (4 papers) and Estrogen and related hormone effects (4 papers). Yeo‐Jung Kwon collaborates with scholars based in South Korea. Yeo‐Jung Kwon's co-authors include Young‐Jin Chun, Sangyun Shin, Dong-Jin Ye, Donghak Kim, Hyung-Kyoon Choi, Hye-Youn Kim, Kyungmin Lee, Nahee Park, Eun-Ah Cho and Jooeun Lee and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Yeo‐Jung Kwon

28 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeo‐Jung Kwon South Korea 14 394 155 120 65 61 28 596
In‐Chul Park South Korea 19 664 1.7× 191 1.2× 178 1.5× 84 1.3× 43 0.7× 30 926
Xiao Cui China 14 484 1.2× 220 1.4× 148 1.2× 37 0.6× 40 0.7× 28 654
Juan Yan China 11 386 1.0× 121 0.8× 78 0.7× 79 1.2× 29 0.5× 24 565
Satya S. Pathi United States 15 726 1.8× 356 2.3× 151 1.3× 45 0.7× 40 0.7× 21 981
Seok-Il Hong South Korea 10 365 0.9× 86 0.6× 116 1.0× 49 0.8× 30 0.5× 15 531
Yulia Maxuitenko United States 16 479 1.2× 119 0.8× 179 1.5× 53 0.8× 63 1.0× 46 775
Gang Hu China 16 769 2.0× 142 0.9× 169 1.4× 47 0.7× 60 1.0× 24 1.0k
Dong-Jin Ye South Korea 10 214 0.5× 72 0.5× 83 0.7× 39 0.6× 37 0.6× 16 327
David A. Litvak United States 12 442 1.1× 85 0.5× 221 1.8× 54 0.8× 52 0.9× 21 724

Countries citing papers authored by Yeo‐Jung Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Yeo‐Jung Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeo‐Jung Kwon. 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 Yeo‐Jung Kwon. The network helps show where Yeo‐Jung Kwon may publish in the future.

Co-authorship network of co-authors of Yeo‐Jung Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Yeo‐Jung Kwon. A scholar is included among the top collaborators of Yeo‐Jung Kwon 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 Yeo‐Jung Kwon. Yeo‐Jung Kwon 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.
Kwon, Yeo‐Jung, et al.. (2024). Unraveling the molecular mechanisms of cell migration impairment and apoptosis associated with steroid sulfatase deficiency: Implications for X-linked ichthyosis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(4). 167004–167004. 3 indexed citations
2.
Lee, Bo‐Young, Yeo‐Jung Kwon, Sangyun Shin, et al.. (2024). Upregulation of YPEL3 expression and induction of human breast cancer cell death by microRNAs. Toxicological Research. 40(4). 599–611. 3 indexed citations
3.
Lee, Hyein, et al.. (2023). YPEL3 expression induces cellular senescence via the Hippo signaling pathway in human breast cancer cells. Toxicological Research. 39(4). 711–719. 10 indexed citations
4.
Shin, Sangyun, et al.. (2022). Induction of synergistic apoptosis by tetramethoxystilbene and nutlin-3a in human cervical cancer cells. Toxicological Research. 38(4). 591–600. 1 indexed citations
5.
6.
Kwon, Yeo‐Jung, Sangyun Shin, & Young‐Jin Chun. (2021). Biological roles of cytochrome P450 1A1, 1A2, and 1B1 enzymes. Archives of Pharmacal Research. 44(1). 63–83. 60 indexed citations
7.
Kwon, Yeo‐Jung, et al.. (2019). CYP1B1 prevents proteasome-mediated XIAP degradation by inducing PKCε activation and phosphorylation of XIAP. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1866(12). 118553–118553. 11 indexed citations
8.
Shin, Sangyun, et al.. (2019). Human steroid sulfatase enhances aerobic glycolysis through induction of HIF1α and glycolytic enzymes. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(9). 2464–2474. 6 indexed citations
9.
Ye, Dong-Jin, et al.. (2019). Combination treatment with auranofin and nutlin-3a induces synergistic cytotoxicity in breast cancer cells. Journal of Toxicology and Environmental Health. 82(10). 626–637. 9 indexed citations
10.
Kwon, Yeo‐Jung, et al.. (2018). Cytochrome P450 1B1 promotes cancer cell survival via specificity protein 1 (Sp1)-mediated suppression of death receptor 4. Journal of Toxicology and Environmental Health. 81(9). 278–287. 10 indexed citations
11.
Lee, Jooeun, Yeo‐Jung Kwon, Dong-Jin Ye, et al.. (2017). Synergistic induction of apoptosis by combination treatment with mesupron and auranofin in human breast cancer cells. Archives of Pharmacal Research. 40(6). 746–759. 28 indexed citations
12.
13.
Kwon, Yeo‐Jung, et al.. (2017). CYP1B1 enhances cell proliferation and metastasis through induction of EMT and activation of WNT/Β-catenin signaling via Sp1 upregulation. Drug Metabolism and Pharmacokinetics. 32(1). S38–S39. 1 indexed citations
14.
Kwon, Yeo‐Jung, et al.. (2017). CYP1B1 Activates Wnt/β-Catenin Signaling through Suppression of Herc5-Mediated ISGylation for Protein Degradation on β-Catenin in HeLa Cells. Toxicological Research. 33(3). 211–218. 35 indexed citations
15.
Kwon, Yeo‐Jung, et al.. (2016). CYP1B1 Enhances Cell Proliferation and Metastasis through Induction of EMT and Activation of Wnt/β-Catenin Signaling via Sp1 Upregulation. PLoS ONE. 11(3). e0151598–e0151598. 102 indexed citations
16.
Shin, Dong‐Won, et al.. (2016). Auranofin Suppresses Plasminogen Activator Inhibitor-2 Expression through Annexin A5 Induction in Human Prostate Cancer Cells. Biomolecules & Therapeutics. 25(2). 177–185. 24 indexed citations
17.
Kwon, Yeo‐Jung, et al.. (2015). Heterologous expression and characterization of CYP61A1 from dandruff-causing Malassezia globosa. Protein Expression and Purification. 114. 89–94. 4 indexed citations
18.
Park, Nahee, Yeo‐Jung Kwon, Sangyun Shin, et al.. (2013). Induction of steroid sulfatase expression in PC-3 human prostate cancer cells by insulin-like growth factor II. Toxicology Letters. 223(2). 109–115. 9 indexed citations
19.
Park, Nahee, et al.. (2013). Role of Annexin A5 in Cisplatin-induced Toxicity in Renal Cells. Journal of Biological Chemistry. 289(4). 2469–2481. 41 indexed citations
20.
Kwon, Yeo‐Jung, et al.. (2012). Bacterial Lipopolysaccharides Induce Steroid Sulfatase Expression and Cell Migration through IL-6 Pathway in Human Prostate Cancer Cells. Biomolecules & Therapeutics. 20(6). 556–561. 15 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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