Ming-Ting Lee
- Biochemistry top 2%
- Toxicology top 5%
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms 5
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer 4
- TGF-β signaling in diseases 3
- Genomics, phytochemicals, and oxidative stress 2
- Connexins and lens biology 2
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- Cell Adhesion Molecules Research 4
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- Reproductive Biology and Fertility 2
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- Cancer Cells and Metastasis 2
- Co-authors
- Ferng‐Chun KeJiuan-Jiuan HwangChia‐Hsiung ChengChithan KandaswamiPei‐Wen HsiaoKu‐Chung ChenWen-Hsien HsuChang-Jen Huang
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Ming-Ting Lee
23 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Biochemistry 240
- Applied Microbiology and Biotechnology 41
- Toxicology 42
- Cancer Research 166
- Molecular Biology 727
Countries citing papers authored by Ming-Ting Lee
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
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
The 25 scholars most cited alongside Ming-Ting Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 11 | |
| 2 | 2018 | 59 | |
| 3 | 2017 | 67 | |
| 4 | 2016 | 57 | |
| 5 | 2016 | 58 | |
| 6 | 2015 | 11 | |
| 7 | 2013 | 30 | |
| 8 | 2011 | 52 | |
| 9 | 2011 | 14 | |
| 10 | 2008 | 31 | |
| 11 | Investigation of MMP-2 and -9 in a highly invasive A431 tumor cell sub-line selected from a Boyden chamber assay. | 2008 | 30 |
| 12 | 2007 | 85 | |
| 13 | 2006 | 30 | |
| 14 | 2005 | 42 | |
| 15 | The antitumor activities of flavonoids.breakdown → | 2005 | 548 |
| 16 | 2004 | 25 | |
| 17 | 2004 | 68 | |
| 18 | 2000 | 47 | |
| 19 | 1996 | 31 | |
| 20 | 1995 | 6 |
About Ming-Ting Lee
Ming-Ting Lee is a scholar working on Immunology and Allergy, Cancer Research, Molecular Biology, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cell Adhesion Molecules Research (4 papers), TGF-β signaling in diseases (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Reproductive Biology and Fertility (2 papers), Connexins and lens biology (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Biochemistry (240 citations), Applied Microbiology and Biotechnology (41 citations), Toxicology (42 citations), Cancer Research (166 citations) and Molecular Biology (727 citations). Ming-Ting Lee has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent 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 Yun‐Ju Chen. Their work appears in journals such as Biology of Reproduction, Journal of Endocrinology, PLoS ONE, Clinical & Experimental Metastasis and Journal of Functional Foods.
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.