Yoon‐Mi Chung

6.4k total citations · 1 hit paper
17 papers, 4.4k citations indexed

About

Yoon‐Mi Chung is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Yoon‐Mi Chung has authored 17 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Molecular Biology. Recurrent topics in Yoon‐Mi Chung's work include Prostate Cancer Treatment and Research (7 papers), Estrogen and related hormone effects (6 papers) and Hormonal and reproductive studies (5 papers). Yoon‐Mi Chung is often cited by papers focused on Prostate Cancer Treatment and Research (7 papers), Estrogen and related hormone effects (6 papers) and Hormonal and reproductive studies (5 papers). Yoon‐Mi Chung collaborates with scholars based in United States, Pakistan and United Kingdom. Yoon‐Mi Chung's co-authors include W.H. Wilson Tang, Stanley L. Hazen, Yuping Wu, Zeneng Wang, Bruce S. Levison, Jonathan D. Smith, Hooman Allayee, Xiaoming Fu, Ariel E. Feldstein and Earl B. Britt and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Yoon‐Mi Chung

17 papers receiving 4.4k citations

Hit Papers

Gut flora metabolism of phosphatidylcholine promotes card... 2011 2026 2016 2021 2011 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoon‐Mi Chung United States 10 3.1k 1.8k 577 475 350 17 4.4k
Weifei Zhu United States 19 3.2k 1.1× 2.0k 1.1× 512 0.9× 511 1.1× 478 1.4× 34 4.8k
Xinmin S. Li United States 24 2.3k 0.8× 1.7k 1.0× 662 1.1× 338 0.7× 188 0.5× 47 3.7k
Jill C. Gregory United States 7 2.4k 0.8× 1.6k 0.9× 449 0.8× 339 0.7× 253 0.7× 8 3.3k
Jennifer A. Buffa United States 20 4.0k 1.3× 2.6k 1.5× 747 1.3× 592 1.2× 433 1.2× 31 5.8k
Antonio Camargo Spain 35 2.1k 0.7× 1.7k 0.9× 882 1.5× 611 1.3× 198 0.6× 119 4.8k
Bina Joe United States 37 2.7k 0.9× 1.5k 0.9× 425 0.7× 405 0.9× 156 0.4× 181 5.6k
Jun Cai China 39 3.1k 1.0× 1.2k 0.7× 564 1.0× 597 1.3× 378 1.1× 184 5.8k
Céline Fernandez Sweden 26 2.7k 0.9× 1.7k 1.0× 457 0.8× 680 1.4× 158 0.5× 40 4.1k
Robert Caesar Sweden 19 3.5k 1.1× 2.2k 1.2× 304 0.5× 785 1.7× 537 1.5× 30 4.8k

Countries citing papers authored by Yoon‐Mi Chung

Since Specialization
Citations

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

Fields of papers citing papers by Yoon‐Mi Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoon‐Mi Chung. 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 Yoon‐Mi Chung. The network helps show where Yoon‐Mi Chung may publish in the future.

Co-authorship network of co-authors of Yoon‐Mi Chung

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

All Works

17 of 17 papers shown
1.
Chung, Yoon‐Mi, et al.. (2025). HSD3B1 upregulation via LRH1 sustains estrogen receptor signaling and promotes endocrine resistance in breast cancer. Journal of Biological Chemistry. 301(7). 110405–110405. 1 indexed citations
2.
Qin, Liang, Yoon‐Mi Chung, Di Cui, et al.. (2024). Chronic hypoxia stabilizes 3βHSD1 via autophagy suppression. Cell Reports. 43(1). 113575–113575. 8 indexed citations
3.
Lee, Juyeun, Yoon‐Mi Chung, Nima Sharifi, & Justin D. Lathia. (2024). 1015 Androgen loss weakens anti-tumor immunity and accelerates brain tumor growth. Regular and Young Investigator Award Abstracts. A1136–A1136. 2 indexed citations
4.
Cui, Di, Jianneng Li, Ziqi Zhu, et al.. (2023). Cancer-associated fibroblast-secreted glucosamine alters the androgen biosynthesis program in prostate cancer via HSD3B1 upregulation. Journal of Clinical Investigation. 133(7). 25 indexed citations
5.
McManus, Jeffrey M., Yoon‐Mi Chung, & Nima Sharifi. (2023). 3βHSD activity saturates at physiological substrate concentrations in intact cells. The Prostate. 83(13). 1306–1309. 1 indexed citations
6.
Goins, Christopher M., Mohammad Alyamani, Yoon‐Mi Chung, et al.. (2023). BMX controls 3βHSD1 and sex steroid biosynthesis in cancer. Journal of Clinical Investigation. 133(2). 19 indexed citations
7.
Qin, Liang, Yoon‐Mi Chung, Ziqi Zhu, et al.. (2022). Hypoxia-Reoxygenation Couples 3βHSD1 Enzyme and Cofactor Upregulation to Facilitate Androgen Biosynthesis and Hormone Therapy Resistance in Prostate Cancer. Cancer Research. 82(13). 2417–2430. 9 indexed citations
8.
Lee, Juyeun, Daniel J. Silver, Yoon‐Mi Chung, Nima Sharifi, & Justin D. Lathia. (2022). IMMU-24. TESTOSTERONE FUNCTIONS AS A TUMOR SUPPRESSOR IN GLIOBLASTOMA. Neuro-Oncology. 24(Supplement_7). vii136–vii136. 1 indexed citations
9.
Hardaway, Aimalie, Maryam Goudarzi, Yoon‐Mi Chung, et al.. (2022). 5-Hydroxyeicosatetraenoic Acid Controls Androgen Reduction in Diverse Types of Human Epithelial Cells. Endocrinology. 164(1). 2 indexed citations
10.
Lee, Juyeun, et al.. (2022). Testosterone functions as a tumor suppressor in glioblastoma. The Journal of Immunology. 208(Supplement_1). 53.16–53.16. 1 indexed citations
11.
Kruse, Megan, Mona Patel, Jeffrey M. McManus, et al.. (2021). Adrenal-permissive HSD3B1 genetic inheritance and risk of estrogen-driven postmenopausal breast cancer. JCI Insight. 6(20). 15 indexed citations
12.
Brubaker, Gregory, Jennifer Major, Chase Neumann, et al.. (2020). Uptake of high-density lipoprotein by scavenger receptor class B type 1 is associated with prostate cancer proliferation and tumor progression in mice. Journal of Biological Chemistry. 295(24). 8252–8261. 31 indexed citations
13.
McManus, Jeffrey M., et al.. (2019). Rapid and structure-specific cellular uptake of selected steroids. PLoS ONE. 14(10). e0224081–e0224081. 18 indexed citations
14.
Li, Xinmin S., Slayman Obeid, Zeneng Wang, et al.. (2019). Trimethyllysine, a trimethylamine N-oxide precursor, provides near- and long-term prognostic value in patients presenting with acute coronary syndromes. European Heart Journal. 40(32). 2700–2709. 71 indexed citations
15.
Zhu, Ziqi, Yoon‐Mi Chung, Vladimir Kepe, et al.. (2018). Loss of dihydrotestosterone-inactivation activity promotes prostate cancer castration resistance detectable by functional imaging. Journal of Biological Chemistry. 293(46). 17829–17837. 30 indexed citations
16.
Wang, Zeneng, Brian J. Bennett, Robert Koeth, et al.. (2011). Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease. Nature. 472(7341). 57–63. 4126 indexed citations breakdown →
17.
Kasumov, Takhar, Hazel Huang, Yoon‐Mi Chung, et al.. (2010). Quantification of ceramide species in biological samples by liquid chromatography electrospray ionization tandem mass spectrometry. Analytical Biochemistry. 401(1). 154–161. 74 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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