Michael Y. Tsai
- Surgery top 0.5%
- Physiology top 0.5%
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Co-authors
- Naomi Q. HansonJun ChenHarry IschiropoulosJoseph S. BeckmanCraig D. SmithLing ZhuJ. C. MartinDonna K. Arnett
- Topics
- Lipoproteins and Cardiovascular Health (71 papers)Fatty Acid Research and Health (67 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (51 papers)
- Partner nations
- United StatesSpainSingapore
In The Last Decade
Michael Y. Tsai
401 papers receiving 15.7k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Surgery 3.8k
- Physiology 3.4k
- Molecular Biology 3.2k
- Endocrinology, Diabetes and Metabolism 2.5k
- Cardiology and Cardiovascular Medicine 2.3k
Countries citing papers authored by Michael Y. Tsai
This map shows the geographic impact of Michael Y. 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 Michael Y. Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Y. Tsai more than expected).
Fields of papers citing papers by Michael Y. Tsai
This network shows the impact of papers produced by Michael Y. 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 Michael Y. Tsai. The network helps show where Michael Y. Tsai may publish in the future.
Co-authorship network of co-authors of Michael Y. Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Y. Tsai. A scholar is included among the top collaborators of Michael Y. 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 Michael Y. Tsai. Michael Y. 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 | 2 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | Remnant cholesterol predicts cardiovascular disease beyond LDL and ApoB: a primary prevention studybreakdown → | 251 |
| 12 | 5 | |
| 13 | 55 | |
| 14 | 38 | |
| 15 | 45 | |
| 16 | 88 | |
| 17 | 49 | |
| 18 | 35 | |
| 19 | 14 | |
| 20 | Trichothiodystrophy and associated anomalies | 1 |
About Michael Y. Tsai
Michael Y. Tsai is a scholar working on Clinical Biochemistry, Obstetrics and Gynecology and Nutrition and Dietetics, having authored 412 papers that have together received 16.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (71 papers), Fatty Acid Research and Health (67 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (51 papers). The work is most often cited by research in Biochemistry (1.3k citations), Endocrinology, Diabetes and Metabolism (2.5k citations) and Rheumatology (2.1k citations). Michael Y. Tsai has collaborated with scholars based in United States, Spain and Singapore. Frequent co-authors include Naomi Q. Hanson, Jun Chen, Harry Ischiropoulos, Joseph S. Beckman, Craig D. Smith, Ling Zhu, J. C. Martin, Donna K. Arnett, José M. Ordovás and Ronald Klein. Their work appears in journals such as New England Journal of Medicine, JAMA and Nucleic Acids Research.
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.