Ming-Ting Lee

1.7k total citations · 1 hit paper
23 papers, 1.4k citations indexed

About

Ming-Ting Lee is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ming-Ting Lee has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Ming-Ting Lee's work include Protease and Inhibitor Mechanisms (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Cell Adhesion Molecules Research (4 papers). Ming-Ting Lee is often cited by papers focused on Protease and Inhibitor Mechanisms (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Cell Adhesion Molecules Research (4 papers). Ming-Ting Lee collaborates with scholars based in Taiwan, United States and United Kingdom. Ming-Ting Lee's co-authors include Ferng‐Chun Ke, Jiuan-Jiuan Hwang, Chia‐Hsiung Cheng, Chithan Kandaswami, Pei‐Wen Hsiao, Ku‐Chung Chen, Wen-Hsien Hsu, Chang-Jen Huang, Geen-Dong Chang and Cheng‐Wei Lin and has published in prestigious journals such as PLoS ONE, Cancer Research and Endocrinology.

In The Last Decade

Ming-Ting Lee

23 papers receiving 1.4k citations

Hit Papers

The antitumor activities of flavonoids. 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-Ting Lee Taiwan 18 727 240 191 166 160 23 1.4k
Ferng‐Chun Ke Taiwan 20 763 1.0× 257 1.1× 185 1.0× 153 0.9× 169 1.1× 22 1.6k
Chia-Wen Tsai Taiwan 25 920 1.3× 125 0.5× 193 1.0× 221 1.3× 318 2.0× 125 1.9k
Xinmei Kang China 19 661 0.9× 333 1.4× 286 1.5× 228 1.4× 232 1.4× 29 1.5k
Do Young Lim United States 25 1.0k 1.4× 158 0.7× 334 1.7× 214 1.3× 153 1.0× 44 1.9k
Elumalai Perumal India 25 792 1.1× 221 0.9× 210 1.1× 260 1.6× 265 1.7× 61 1.7k
Stefania Bilotto Italy 12 535 0.7× 278 1.2× 89 0.5× 87 0.5× 132 0.8× 19 1.3k
Bhagavathi A. Narayanan United States 22 723 1.0× 217 0.9× 152 0.8× 312 1.9× 143 0.9× 31 1.7k
Amjid Ahad India 9 509 0.7× 253 1.1× 86 0.5× 138 0.8× 151 0.9× 15 1.3k
Ole Vang Denmark 24 825 1.1× 193 0.8× 162 0.8× 174 1.0× 201 1.3× 50 1.6k
Piwen Wang United States 23 766 1.1× 362 1.5× 272 1.4× 241 1.5× 121 0.8× 37 1.9k

Countries citing papers authored by Ming-Ting Lee

Since Specialization
Citations

This map shows the geographic impact of Ming-Ting 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-Ting 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-Ting Lee more than expected).

Fields of papers citing papers by Ming-Ting Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Ting Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Ting Lee. A scholar is included among the top collaborators of Ming-Ting 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-Ting Lee. Ming-Ting 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
2.
Chen, Ku‐Chung, et al.. (2018). Flavonoids Luteolin and Quercetin Inhibit RPS19 and contributes to metastasis of cancer cells through c-Myc reduction. Journal of Food and Drug Analysis. 26(3). 1180–1191. 59 indexed citations
3.
Hsu, Wen-Hsien, Cheng‐Wei Lin, Ku‐Chung Chen, et al.. (2017). Dietary flavonoids, luteolin and quercetin, inhibit invasion of cervical cancer by reduction of UBE2S through epithelial–mesenchymal transition signaling. Food & Function. 8(4). 1558–1568. 67 indexed citations
4.
Chao, Tai‐Kuang, Ming-Ting Lee, Jiuan-Jiuan Hwang, et al.. (2016). Metastatic Progression of Prostate Cancer Is Mediated by Autonomous Binding of Galectin-4- O -Glycan to Cancer Cells. Cancer Research. 76(19). 5756–5767. 57 indexed citations
5.
Cheng, Chia‐Hsiung, Chun‐Yu Lin, Chithan Kandaswami, et al.. (2016). Dietary Flavonoids Luteolin and Quercetin Suppressed Cancer Stem Cell Properties and Metastatic Potential of Isolated Prostate Cancer Cells. Anticancer Research. 36(12). 6367–6380. 58 indexed citations
6.
Lee, Ming-Ting, et al.. (2015). CRTC2 and Nedd4 ligase involvement in FSH and TGFβ1 upregulation of connexin43 gap junction. Journal of Molecular Endocrinology. 55(3). 263–275. 11 indexed citations
7.
Cheng, Chia‐Hsiung, et al.. (2013). Impact of Flavonoids on Matrix Metalloproteinase Secretion and Invadopodia Formation in Highly Invasive A431-III Cancer Cells. PLoS ONE. 8(8). e71903–e71903. 30 indexed citations
8.
Lin, Chun‐Yu, Chithan Kandaswami, Geen-Dong Chang, et al.. (2011). Role of tissue transglutaminase 2 in the acquisition of a mesenchymal-like phenotype in highly invasive A431 tumor cells. Molecular Cancer. 10(1). 87–87. 52 indexed citations
9.
Cheng, Chia‐Hsiung, Chin‐Chun Hung, Geen-Dong Chang, et al.. (2011). Phosphorylation of the Zebrafish M6Ab at Serine 263 Contributes to Filopodium Formation in PC12 Cells and Neurite Outgrowth in Zebrafish Embryos. PLoS ONE. 6(10). e26461–e26461. 14 indexed citations
11.
Hung, Chin‐Chun, et al.. (2008). Investigation of MMP-2 and -9 in a highly invasive A431 tumor cell sub-line selected from a Boyden chamber assay.. PubMed. 28(4B). 2109–20. 30 indexed citations
12.
Chen, Yun‐Ju, Pei‐Wen Hsiao, Ming-Ting Lee, et al.. (2007). Interplay of PI3K and cAMP/PKA signaling, and rapamycin-hypersensitivity in TGFβ1 enhancement of FSH-stimulated steroidogenesis in rat ovarian granulosa cells. Journal of Endocrinology. 192(2). 405–419. 85 indexed citations
13.
Ke, Ferng‐Chun, et al.. (2006). Critical involvement of ILK in TGFβ1-stimulated invasion/migration of human ovarian cancer cells is associated with urokinase plasminogen activator system. Experimental Cell Research. 313(3). 602–613. 30 indexed citations
14.
Ke, Ferng‐Chun, Ming-Ting Lee, Yun‐Ju Chen, et al.. (2005). Lindane, a gap junction blocker, suppresses FSH and transforming growth factor β1-induced connexin43 gap junction formation and steroidogenesis in rat granulosa cells. Journal of Endocrinology. 184(3). 555–566. 42 indexed citations
15.
Ke, Ferng‐Chun, et al.. (2005). The antitumor activities of flavonoids.. PubMed. 19(5). 895–909. 548 indexed citations breakdown →
16.
Ke, Ferng‐Chun, Ming-Ting Lee, Yun‐Ju Chen, et al.. (2004). The Modulatory Role of Transforming Growth Factor β1 and Androstenedione on Follicle-Stimulating Hormone-Induced Gelatinase Secretion and Steroidogenesis in Rat Granulosa Cells1. Biology of Reproduction. 70(5). 1292–1298. 25 indexed citations
18.
19.
Hwang, Jiuan-Jiuan, et al.. (1996). Relaxin Modulates the Ovulatory Process and Increases Secretion of Different Gelatinases from Granulosa and Theca-Interstitial Cells in Rats1. Biology of Reproduction. 55(6). 1276–1283. 31 indexed citations
20.
Liebow, Charles, et al.. (1995). Alterations in receptor-mediated kinases and phosphatases during carcinogenesis. Journal of Cancer Research and Clinical Oncology. 121(3). 141–149. 6 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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