Ming-Chieh Tsai
- Endocrinology, Diabetes and Metabolism
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Epidemiology
- Surgery
- Co-authors
- Kuo‐Liong ChienTzu‐Lin YehHsin‐Yin HsuLe‐Yin HsuChun‐Chuan LeeLee‐Ching HwangFung‐Chang SungShu‐I Wu
- Topics
- Metabolism, Diabetes, and Cancer (6 papers)Cancer, Lipids, and Metabolism (5 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismOrthopedics and Sports MedicineCardiology and Cardiovascular Medicine
- Partner nations
- TaiwanUnited StatesIreland
In The Last Decade
Ming-Chieh Tsai
31 papers receiving 268 citations
Peers
Comparison fields: 5 of 78
- Endocrinology, Diabetes and Metabolism 79
- Cardiology and Cardiovascular Medicine 61
- Molecular Biology 45
- Epidemiology 43
- Surgery 39
Countries citing papers authored by Ming-Chieh Tsai
This map shows the geographic impact of Ming-Chieh 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-Chieh 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-Chieh Tsai more than expected).
Fields of papers citing papers by Ming-Chieh Tsai
This network shows the impact of papers produced by Ming-Chieh 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-Chieh Tsai. The network helps show where Ming-Chieh Tsai may publish in the future.
Co-authorship network of co-authors of Ming-Chieh Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Chieh Tsai. A scholar is included among the top collaborators of Ming-Chieh Tsai 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-Chieh Tsai. Ming-Chieh Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 26 | |
| 10 | 31 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 8 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 25 | |
| 19 | 19 | |
| 20 | 0 |
About Ming-Chieh Tsai
Ming-Chieh Tsai is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine and Nephrology, having authored 36 papers that have together received 272 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Cancer, Lipids, and Metabolism (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (79 citations), Orthopedics and Sports Medicine (24 citations) and Cardiology and Cardiovascular Medicine (61 citations). Ming-Chieh Tsai has collaborated with scholars based in Taiwan, United States and Ireland. Frequent co-authors include Kuo‐Liong Chien, Tzu‐Lin Yeh, Hsin‐Yin Hsu, Le‐Yin Hsu, Chun‐Chuan Lee, Lee‐Ching Hwang, Fung‐Chang Sung, Shu‐I Wu, Shih‐Ming Chuang and Lu‐Ting Chiu. Their work appears in journals such as Nature Communications, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.