Mi‐Ock Lee

5.8k total citations
113 papers, 4.6k citations indexed

About

Mi‐Ock Lee is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Mi‐Ock Lee has authored 113 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 26 papers in Genetics and 23 papers in Epidemiology. Recurrent topics in Mi‐Ock Lee's work include Retinoids in leukemia and cellular processes (25 papers), Estrogen and related hormone effects (22 papers) and Nuclear Receptors and Signaling (14 papers). Mi‐Ock Lee is often cited by papers focused on Retinoids in leukemia and cellular processes (25 papers), Estrogen and related hormone effects (22 papers) and Nuclear Receptors and Signaling (14 papers). Mi‐Ock Lee collaborates with scholars based in South Korea, United States and Puerto Rico. Mi‐Ock Lee's co-authors include Young‐Gun Yoo, Norman E. Sládek, Yi Liu, Gu Kong, Xiao-kun Zhang, Magnus Pfahl, Hyelin Na, Je Kyung Seong, Tae‐Young Na and Yong‐Hyun Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Mi‐Ock Lee

112 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mi‐Ock Lee South Korea 41 2.9k 927 726 712 605 113 4.6k
Sotirios K. Karathanasis United States 42 3.1k 1.1× 1.1k 1.2× 817 1.1× 639 0.9× 565 0.9× 85 6.2k
Ismael Samudio United States 47 3.9k 1.4× 865 0.9× 1.3k 1.8× 525 0.7× 850 1.4× 95 6.8k
Vittorio Colantuoni Italy 42 2.8k 1.0× 639 0.7× 736 1.0× 504 0.7× 350 0.6× 124 4.6k
Ira G. Schulman United States 31 3.2k 1.1× 1.1k 1.2× 583 0.8× 452 0.6× 729 1.2× 49 5.1k
William W. Lamph United States 38 4.3k 1.5× 1.7k 1.9× 712 1.0× 353 0.5× 695 1.1× 70 6.1k
Frances M. Sladek United States 39 3.4k 1.2× 1.5k 1.6× 484 0.7× 567 0.8× 320 0.5× 68 5.6k
Chieko Yokoyama Japan 35 2.8k 1.0× 1.1k 1.1× 1.0k 1.4× 324 0.5× 526 0.9× 80 6.1k
Hideki Nishitoh Japan 37 5.3k 1.8× 305 0.3× 767 1.1× 1.2k 1.7× 1.3k 2.1× 64 8.2k
Hueng-Sik Choi South Korea 31 2.5k 0.9× 1.1k 1.2× 325 0.4× 494 0.7× 377 0.6× 67 4.4k
Mineko Terao Italy 44 3.7k 1.3× 535 0.6× 392 0.5× 159 0.2× 426 0.7× 129 5.0k

Countries citing papers authored by Mi‐Ock Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mi‐Ock Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi‐Ock Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Mi‐Ock Lee. A scholar is included among the top collaborators of Mi‐Ock 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 Mi‐Ock Lee. Mi‐Ock 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.
Son, Yeonho, Cheoljun Choi, Ju‐Hyung Lee, et al.. (2025). Immunometabolic Crosstalk in Adipose Tissue Remodeling: Mechanisms and Therapeutic Perspectives. Journal of Obesity & Metabolic Syndrome. 34(4). 344–361.
2.
Ka, Na‐Lee, et al.. (2023). NR1D1 Stimulates Antitumor Immune Responses in Breast Cancer by Activating cGAS-STING Signaling. Cancer Research. 83(18). 3045–3058. 25 indexed citations
3.
Cho, Yoon Keun, Yeonho Son, Abhirup Saha, et al.. (2021). STK3/STK4 signalling in adipocytes regulates mitophagy and energy expenditure. Nature Metabolism. 3(3). 428–441. 40 indexed citations
4.
Han, Yong‐Hyun, et al.. (2020). RORα autoregulates its transcription via MLL4-associated enhancer remodeling in the liver. Life Sciences. 256. 118007–118007. 6 indexed citations
5.
6.
Lee, Minho, Hyelin Na, Na‐Lee Ka, et al.. (2017). MTA1 is a novel regulator of autophagy that induces tamoxifen resistance in breast cancer cells. Autophagy. 14(5). 812–824. 71 indexed citations
7.
Ka, Na‐Lee, Tae‐Young Na, Hyelin Na, et al.. (2017). NR1D1 Recruitment to Sites of DNA Damage Inhibits Repair and Is Associated with Chemosensitivity of Breast Cancer. Cancer Research. 77(9). 2453–2463. 39 indexed citations
8.
Na, Hyelin, Ho Lee, Min Ho Lee, et al.. (2016). Deletion of exons 3 and 4 in the mouse Nr1d1 gene worsens high-fat diet-induced hepatic steatosis. Life Sciences. 166. 13–19. 6 indexed citations
9.
Lee, Minho, Sung-Hye Kim, Hyelin Na, et al.. (2014). Differential Regulation of Estrogen Receptor α Expression in Breast Cancer Cells by Metastasis-Associated Protein 1. Cancer Research. 74(5). 1484–1494. 69 indexed citations
10.
Kim, Eun‐Jin, Young-Sil Yoon, Suckchang Hong, et al.. (2011). Retinoic acid receptor–related orphan receptor α–induced activation of adenosine monophosphate–activated protein kinase results in attenuation of hepatic steatosis. Hepatology. 55(5). 1379–1388. 56 indexed citations
11.
Kang, Shinae, et al.. (2010). Regulation of Nur77 protein turnover through acetylation and deacetylation induced by p300 and HDAC1. Biochemical Pharmacology. 80(6). 867–873. 56 indexed citations
12.
Kim, Mingoo, Ju Han Kim, Gu Kong, et al.. (2009). Analysis of hepatic gene expression during fatty liver change due to chronic ethanol administration in mice. Toxicology and Applied Pharmacology. 235(3). 312–320. 20 indexed citations
13.
Kim, Eun‐Jin, Young‐Gun Yoo, Wookyeom Yang, et al.. (2008). Transcriptional Activation of HIF-1 by RORα and its Role in Hypoxia Signaling. Arteriosclerosis Thrombosis and Vascular Biology. 28(10). 1796–1802. 73 indexed citations
14.
Lee, Minho, Il Hong, Mingoo Kim, et al.. (2006). Gene expression profiles of murine fatty liver induced by the administration of valproic acid. Toxicology and Applied Pharmacology. 220(1). 45–59. 50 indexed citations
15.
16.
Lee, Mi‐Ock, et al.. (2002). Repression of FasL expression by retinoic acid involves a novel mechanism of inhibition of transactivation function of the nuclear factors of activated T‐cells. European Journal of Biochemistry. 269(4). 1162–1170. 20 indexed citations
17.
Lee, Mi‐Ock, Sun‐Young Han, Shunai Jiang, Jeon Han Park, & Se‐Jong Kim. (2000). Differential effects of retinoic acid on growth and apoptosis in human colon cancer cell lines associated with the induction of retinoic acid receptor β. Biochemical Pharmacology. 59(5). 485–496. 52 indexed citations
18.
Liu, Yi, Mi‐Ock Lee, Hong‐Gang Wang, et al.. (1996). Retinoic Acid Receptor β Mediates the Growth-Inhibitory Effect of Retinoic Acid by Promoting Apoptosis in Human Breast Cancer Cells. Molecular and Cellular Biology. 16(3). 1138–1149. 288 indexed citations
19.
Zhang, Xiao-kun, Gilles Salbert, Mi‐Ock Lee, & Magnus Pfahl. (1994). Mutations That Alter Ligand-induced Switches and Dimerization Activities in the Retinoid X Receptor. Molecular and Cellular Biology. 14(6). 4311–4323. 18 indexed citations
20.
Zhang, Xiao-kun, Gerhart Graupner, Mi‐Ock Lee, et al.. (1993). Formation of Retinoid X Receptor Homodimers Leads to Repression of T3 Response: Hormonal Cross Talk by Ligand-Induced Squelching. Molecular and Cellular Biology. 13(12). 7698–7707. 23 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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