Ming‐Ming Tsai
Impact in
- Genetics top 10%
- Estrogen and related hormone effects
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- Thyroid Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
- Hormonal Regulation and Hypertension
Papers in ⓘ
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- Mechanisms of cancer metastasis 1
- Oncology 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Bert W. O’Malley (1 shared paper)Hirotaka Shibata (1 shared paper)Sophia Y. Tsai (1 shared paper)Sergio A. Oñate (1 shared paper)Guido Jenster (1 shared paper)Thomas E. Spencer (1 shared paper)Kwang‐Huei Lin (7 shared papers)Ya‐Hui Huang (2 shared papers)
- Journals
- Cancer Science (2 papers)Autophagy (1 paper)Scientific Reports (1 paper)The FASEB Journal (1 paper)Endocrine Related Cancer (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Ming‐Ming Tsai
8 papers receiving 699 citations
Peers
Comparison fields: 5 of 70
- Genetics 334
- Endocrinology, Diabetes and Metabolism 189
- Cancer Research 117
- Molecular Biology 388
- Reproductive Medicine 43
Countries citing papers authored by Ming‐Ming Tsai
This map shows the geographic impact of Ming‐Ming Tsai'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‐Ming Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Ming Tsai more than expected).
Fields of papers citing papers by Ming‐Ming Tsai
This network shows the impact of papers produced by Ming‐Ming Tsai. 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‐Ming Tsai. The network helps show where Ming‐Ming Tsai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Ming Tsai, 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 | Role of co-activators and co-repressors in the mechanism of steroid/thyroid receptor action. | 1997 | 447 |
| 2 | 2016 | 53 | |
| 3 | 2009 | 47 | |
| 4 | 2018 | 46 | |
| 5 | Thyroid hormone dependent regulation of target genes and their physiological significance. | 2008 | 46 |
| 6 | 2011 | 35 | |
| 7 | 2012 | 24 | |
| 8 | 2016 | 18 |
About Ming‐Ming Tsai
Ming‐Ming Tsai is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Epidemiology and Cell Biology, having authored 8 papers that have together received 716 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (2 papers), Cancer-related Molecular Pathways (2 papers), Estrogen and related hormone effects (2 papers), Autophagy in Disease and Therapy (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Calcium signaling and nucleotide metabolism (1 paper), Cancer Research and Treatments (1 paper) and Mechanisms of cancer metastasis (1 paper). The work is most often cited by research in Genetics (334 citations), Endocrinology, Diabetes and Metabolism (189 citations), Cancer Research (117 citations), Molecular Biology (388 citations) and Reproductive Medicine (43 citations). Ming‐Ming Tsai has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Bert W. O’Malley, Hirotaka Shibata, Sophia Y. Tsai, Sergio A. Oñate, Guido Jenster, Thomas E. Spencer, Kwang‐Huei Lin, Ya‐Hui Huang, Hsiang‐Cheng Chi and Sheng‐Ming Wu. Their work appears in journals such as Cancer Science, Autophagy, Scientific Reports, The FASEB Journal and Endocrine Related Cancer.
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.