Young‐Jin Chun

3.2k total citations
98 papers, 2.7k citations indexed

About

Young‐Jin Chun is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Young‐Jin Chun has authored 98 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 35 papers in Pharmacology and 31 papers in Oncology. Recurrent topics in Young‐Jin Chun's work include Pharmacogenetics and Drug Metabolism (34 papers), Drug Transport and Resistance Mechanisms (11 papers) and Eicosanoids and Hypertension Pharmacology (7 papers). Young‐Jin Chun is often cited by papers focused on Pharmacogenetics and Drug Metabolism (34 papers), Drug Transport and Resistance Mechanisms (11 papers) and Eicosanoids and Hypertension Pharmacology (7 papers). Young‐Jin Chun collaborates with scholars based in South Korea, United States and Japan. Young‐Jin Chun's co-authors include F. Peter Guengerich, Yeo‐Jung Kwon, Donghak Kim, Sanghee Kim, Yune‐Fang Ueng, Takashi Kuwabara, Tsutomu Shimada, Sangyun Shin, Dong-Jin Ye and Nahee Park and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Young‐Jin Chun

98 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young‐Jin Chun South Korea 28 1.2k 970 557 336 289 98 2.7k
Sandhya Mandlekar United States 28 2.1k 1.7× 432 0.4× 846 1.5× 301 0.9× 216 0.7× 70 3.6k
Jingyuan Wan China 38 1.3k 1.1× 636 0.7× 346 0.6× 308 0.9× 353 1.2× 112 3.5k
Mee‐Hyun Lee South Korea 33 2.4k 2.0× 459 0.5× 739 1.3× 546 1.6× 241 0.8× 130 3.8k
Zhi-Wei Zhou China 34 1.2k 0.9× 613 0.6× 812 1.5× 289 0.9× 254 0.9× 90 3.4k
Vincent Kam Wai Wong Macao 39 2.5k 2.0× 403 0.4× 495 0.9× 421 1.3× 410 1.4× 183 4.5k
Kishore Banik India 35 2.0k 1.6× 519 0.5× 413 0.7× 522 1.6× 646 2.2× 46 3.7k
Shuyi Si China 29 1.9k 1.5× 543 0.6× 376 0.7× 477 1.4× 1.3k 4.4× 86 3.5k
Eun Hee Han South Korea 31 1.6k 1.3× 509 0.5× 363 0.7× 398 1.2× 259 0.9× 128 3.3k
Guang Liang China 40 2.3k 1.8× 301 0.3× 428 0.8× 529 1.6× 420 1.5× 129 4.7k
Tzong‐Der Way Taiwan 39 2.1k 1.7× 262 0.3× 660 1.2× 573 1.7× 500 1.7× 116 3.9k

Countries citing papers authored by Young‐Jin Chun

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Jin Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Jin Chun. 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 Young‐Jin Chun. The network helps show where Young‐Jin Chun may publish in the future.

Co-authorship network of co-authors of Young‐Jin Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Jin Chun. A scholar is included among the top collaborators of Young‐Jin Chun 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 Young‐Jin Chun. Young‐Jin Chun 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.
Shin, Sangyun, Bo‐Young Lee, Hyein Lee, et al.. (2023). Enhancing the invasive traits of breast cancers by CYP1B1 via regulation of p53 to promote uPAR expression. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(1). 166868–166868. 7 indexed citations
4.
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6.
Kang, Minjeong, Jane Ru Choi, Young‐Jin Chun, et al.. (2019). Comparative analysis of FBS containing media and serum free chemically defined media for adipose derived stem cells production. Cytotherapy. 21(5). S82–S82. 2 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.
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
10.
Han, Song‐Hee, Joo‐Hwan Kim, Young‐Ran Lim, et al.. (2016). Structural Analysis of the Streptomyces avermitilis CYP107W1-Oligomycin A Complex and Role of the Tryptophan 178 Residue. Molecules and Cells. 39(3). 211–216. 14 indexed citations
11.
Han, Song‐Hee, Joo‐Hwan Kim, Young‐Ran Lim, et al.. (2016). Structural insights into the binding of lauric acid to CYP107L2 from Streptomyces avermitilis. Biochemical and Biophysical Research Communications. 482(4). 902–908. 8 indexed citations
12.
Chun, Young‐Jin. (2014). Knockdown of Clusterin Expression Increases the In Vitro Sensitivity of Human Prostate Cancer Cells to Paclitaxel. Journal of Toxicology and Environmental Health. 77(22-24). 1443–1450. 13 indexed citations
13.
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
14.
Han, Song‐Hee, et al.. (2013). Evaluation of Luminescent P450 Analysis for Directed Evolution of Human CYP4A11. Biomolecules & Therapeutics. 21(6). 487–492. 14 indexed citations
15.
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
16.
Kim, Donghak, et al.. (2011). Expression of CYP2A6, CYP2D6 and CYP4A11 Polymorphisms in COS7 Mammalian Cell Line. Toxicological Research. 27(1). 25–29. 1 indexed citations
17.
Park, Nahee, et al.. (2010). Cloning and Expression in Pichia pastoris of a New Cytochrome P450 Gene from a Dandruff-causing Malassezia globosa. Toxicological Research. 26(1). 47–52. 4 indexed citations
18.
Han, Jee Hye, et al.. (2007). Differential Gene Expression by Styrene in Rat Reproductive Tissue. Journal of Toxicology and Environmental Health. 70(15-16). 1259–1263. 5 indexed citations
19.
Lee, Sang-Kwang, Yongmo Kim, Mie Young Kim, Young‐Jin Chun, & Sanghee Kim. (2004). POTENT INHIBITION OF RECOMBINANT HUMAN CYTOCHROME P-450 1A1 BY PENTAMETHOXYSTILBENE. Journal of Toxicology and Environmental Health. 67(23-24). 1987–2000. 12 indexed citations
20.
Chun, Young‐Jin & Sanghee Kim. (2003). Discovery of cytochrome P450 1B1 inhibitors as new promising anti‐cancer agents. Medicinal Research Reviews. 23(6). 657–668. 72 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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