Ming‐Fen Lee

1.1k total citations
37 papers, 806 citations indexed

About

Ming‐Fen Lee is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ming‐Fen Lee has authored 37 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Ming‐Fen Lee's work include FOXO transcription factor regulation (6 papers), Natural product bioactivities and synthesis (4 papers) and Cell death mechanisms and regulation (4 papers). Ming‐Fen Lee is often cited by papers focused on FOXO transcription factor regulation (6 papers), Natural product bioactivities and synthesis (4 papers) and Cell death mechanisms and regulation (4 papers). Ming‐Fen Lee collaborates with scholars based in Taiwan and United States. Ming‐Fen Lee's co-authors include Chun‐Yin Huang, Chien‐Yi Chan, Yamei Yu, Weng‐Cheng Chang, Min‐Hsiung Pan, An‐Chin Cheng, Stephen D. Krasinski, Mei‐Ling Tsai, Chi‐Tang Ho and Robert K. Montgomery and has published in prestigious journals such as Oncogene, Journal of Agricultural and Food Chemistry and The FASEB Journal.

In The Last Decade

Ming‐Fen Lee

33 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Fen Lee Taiwan 15 436 135 116 93 85 37 806
Joe Eun Son South Korea 21 447 1.0× 154 1.1× 72 0.6× 122 1.3× 89 1.0× 35 1.2k
Gyoo Taik Kwon South Korea 17 441 1.0× 156 1.2× 123 1.1× 61 0.7× 56 0.7× 24 903
Kausik Bishayee South Korea 19 543 1.2× 99 0.7× 88 0.8× 79 0.8× 106 1.2× 38 1.1k
Isadora Carolina Betim Pavan Brazil 16 487 1.1× 113 0.8× 129 1.1× 69 0.7× 53 0.6× 25 896
Xingtao Zhao China 17 512 1.2× 110 0.8× 69 0.6× 61 0.7× 121 1.4× 33 1.1k
Eung-Ryoung Lee South Korea 15 507 1.2× 63 0.5× 87 0.8× 127 1.4× 84 1.0× 17 893
Mi‐Young Jeong South Korea 19 538 1.2× 86 0.6× 78 0.7× 83 0.9× 88 1.0× 35 1.1k
Angela Ladurner Austria 20 392 0.9× 67 0.5× 97 0.8× 64 0.7× 109 1.3× 30 869
Kevin Zhai Qatar 17 419 1.0× 179 1.3× 81 0.7× 100 1.1× 113 1.3× 26 911
Hye‐Eun Choi South Korea 18 422 1.0× 79 0.6× 60 0.5× 61 0.7× 110 1.3× 33 857

Countries citing papers authored by Ming‐Fen Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Fen Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Fen Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Fen Lee. A scholar is included among the top collaborators of Ming‐Fen 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 Ming‐Fen Lee. Ming‐Fen 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.
2.
Wang, I‐Ching, et al.. (2024). Forkhead box M1 mediates metabolic reprogramming in human colorectal cancer cells. American Journal of Physiology-Gastrointestinal and Liver Physiology. 327(2). G284–G294. 4 indexed citations
3.
Wu, Wen‐Chieh, Peï-Yu Wu, Chien‐Yi Chan, Ming‐Fen Lee, & Chun‐Yin Huang. (2023). Effect of FADS1 rs174556 Genotype on Polyunsaturated Fatty Acid Status: A Systematic Review and Meta-Analysis. Advances in Nutrition. 14(2). 352–362. 3 indexed citations
4.
Huang, Chun‐Yin, et al.. (2022). Bioactive Vitamin D Attenuates MED28‐Mediated Cell Growth and Epithelial–Mesenchymal Transition in Human Colorectal Cancer Cells. BioMed Research International. 2022(1). 2268818–2268818. 2 indexed citations
5.
Chen, Ming‐Jenn, et al.. (2017). Simvastatin induces G 1 arrest by up‐regulating GSK3β and down‐regulating CDK4/cyclin D1 and CDK2/cyclin E1 in human primary colorectal cancer cells. Journal of Cellular Physiology. 233(6). 4618–4625. 33 indexed citations
6.
Chan, Chien‐Yi, et al.. (2017). Transcription factor HMG box‐containing protein 1 (HBP1) modulates mitotic clonal expansion (MCE) during adipocyte differentiation. Journal of Cellular Physiology. 233(5). 4205–4215. 6 indexed citations
7.
Yu, Yamei, et al.. (2016). Thymol reduces oxidative stress, aortic intimal thickening, and inflammation-related gene expression in hyperlipidemic rabbits. Journal of Food and Drug Analysis. 24(3). 556–563. 66 indexed citations
8.
Chan, Chien‐Yi, et al.. (2016). Quercetin suppresses cellular migration and invasion in human head and neck squamous cell carcinoma (HNSCC). Biomedicine. 6(3). 15–15. 84 indexed citations
9.
Cheng, An‐Chin, et al.. (2016). Effects of curcumin metabolites on human colon adenocarcinoma cells. The FASEB Journal. 30(S1).
10.
Huang, Chun‐Yin, et al.. (2015). MED28 Modulates Cell Cycle Progression in Human Breast Cancer Cells. The FASEB Journal. 29(S1). 1 indexed citations
11.
Lee, Ming‐Fen, et al.. (2015). AllTrans-Retinoic Acid Mediates MED28/HMG Box-Containing Protein 1 (HBP1)/β-Catenin Signaling in Human Colorectal Cancer Cells. Journal of Cellular Physiology. 231(8). 1796–1803. 14 indexed citations
12.
Huang, Chun‐Yin, et al.. (2012). MED28 regulates MEK1‐dependent cellular migration in human breast cancer cells. Journal of Cellular Physiology. 227(12). 3820–3827. 25 indexed citations
13.
14.
Cheng, An‐Chin, et al.. (2011). Garcinol inhibits cell growth in hepatocellular carcinoma Hep3B cells through induction of ROS‐dependent apoptosis. The FASEB Journal. 25(S1). 2 indexed citations
15.
Lee, Ming‐Fen, et al.. (2011). Resveratrol Modulates MED28 (Magicin/EG-1) Expression and Inhibits Epidermal Growth Factor (EGF)-Induced Migration in MDA-MB-231 Human Breast Cancer Cells. Journal of Agricultural and Food Chemistry. 59(21). 11853–11861. 40 indexed citations
16.
Cheng, An‐Chin, Mei‐Ling Tsai, Ming‐Fen Lee, et al.. (2010). Garcinol inhibits cell growth in hepatocellular carcinoma Hep3B cells through induction of ROS-dependent apoptosis. Food & Function. 1(3). 301–301. 38 indexed citations
17.
Chang, Weng‐Cheng, Chia‐Hsin Chen, Ming‐Fen Lee, Ted Hung‐Tse Chang, & Yamei Yu. (2009). Chlorogenic acid attenuates adhesion molecules upregulation in IL-1β-treated endothelial cells. European Journal of Nutrition. 49(5). 267–275. 52 indexed citations
18.
Lee, Ming‐Fen & Stephen D. Krasinski. (2009). Human Adult-Onset Lactase Decline: An Update. Nutrition Reviews. 56(1). 1–8. 13 indexed citations
19.
Lee, Ming‐Fen, Roberta L. Beauchamp, Kim S. Beyer, James F. Gusella, & Vijaya Ramesh. (2006). Magicin associates with the Src-family kinases and is phosphorylated upon CD3 stimulation. Biochemical and Biophysical Research Communications. 348(3). 826–831. 13 indexed citations
20.
Lee, Ming‐Fen, Robert M. Russell, Robert K. Montgomery, & Stephen D. Krasinski. (1997). Total Intestinal Lactase and Sucrase Activities Are Reduced in Aged Rats , ,. Journal of Nutrition. 127(7). 1382–1387. 42 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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