Ming-Ming Tsai

2.7k citations
48 papers · 2.2k · h-index 28

Impact in

Papers in

    • Cancer-related gene regulation 4
    • RNA modifications and cancer 4
    • Cancer-related molecular mechanisms research 6
    • Protease and Inhibitor Mechanisms 4
    • MicroRNA in disease regulation 4

Ming-Ming Tsai

48 papers receiving 2.1k citations

Peers

Ming-Ming Tsai
Comparison fields: 5 of 104
  • Cancer Research 586
  • Endocrinology, Diabetes and Metabolism 334
  • Molecular Biology 1.1k
  • Genetics 390
  • Oncology 344
Replace Irina Budunova with:
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Qihan Dong Australia
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Citations per field
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Citations per year

Countries citing papers authored by Ming-Ming Tsai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ming-Ming Tsai Line = papers co-authored together Ming-Ming Tsai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Role of co-activators and co-repressors in the mechanism of steroid/thyroid receptor action.
1997482
2 2011112
3 2016105
4 201494
5 201975
6 201774
7 201471
8 201662
9 201161
10 201655
11 202253
12 201650
13 200948
14 201548
15 201847
16
Thyroid hormone dependent regulation of target genes and their physiological significance.
200847
17 201345
18 201645
19 201245
20 201941

About Ming-Ming Tsai

Ming-Ming Tsai is a scholar working on Molecular Biology, Cancer Research, Oncology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 48 papers that have together received 2.2k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (7 papers), Cancer-related molecular mechanisms research (6 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Protease and Inhibitor Mechanisms (4 papers), Cancer-related gene regulation (4 papers), MicroRNA in disease regulation (4 papers), RNA modifications and cancer (4 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Cancer Research (586 citations), Endocrinology, Diabetes and Metabolism (334 citations), Molecular Biology (1.1k citations), Genetics (390 citations) and Oncology (344 citations). Ming-Ming Tsai has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Kwang‐Huei Lin, Chung‐Ying Tsai, Hsiang‐Cheng Chi, Bert W. O’Malley, Sophia Y. Tsai, Sergio A. Oñate, Hirotaka Shibata, Thomas E. Spencer, Guido Jenster and Chia‐Siu Wang. Their work appears in journals such as International Journal of Molecular Sciences, Biomedicines, Journal of Hepatology, Scientific Reports and Cancer Science.

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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