Yi-Tong Ma
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Hormonal Regulation and Hypertension
Papers in
- Surgery 33
- Lipoproteins and Cardiovascular Health 13
- Cholesterol and Lipid Metabolism 7
- Tissue Engineering and Regenerative Medicine 5
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- Lipid metabolism and disorders 8
- Co-authors
- Zhen-Yan Fu (47 shared papers)Bang‐Dang Chen (42 shared papers)Xiang Xie (40 shared papers)Yi‐Ning Yang (39 shared papers)Xiao‐Mei Li (34 shared papers)Xiang Ma (25 shared papers)Fen Liu (19 shared papers)Fen Liu (20 shared papers)
In The Last Decade
Yi-Tong Ma
97 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 118
- Endocrinology, Diabetes and Metabolism 263
- Cardiology and Cardiovascular Medicine 283
- Cancer Research 175
- Surgery 474
- Biomaterials 136
Countries citing papers authored by Yi-Tong Ma
This map shows the geographic impact of Yi-Tong Ma'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 Yi-Tong Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi-Tong Ma more than expected).
Fields of papers citing papers by Yi-Tong Ma
This network shows the impact of papers produced by Yi-Tong Ma. 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 Yi-Tong Ma. The network helps show where Yi-Tong Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi-Tong Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 114 | |
| 2 | 2013 | 89 | |
| 3 | 2010 | 87 | |
| 4 | 2010 | 75 | |
| 5 | 2010 | 58 | |
| 6 | 2009 | 42 | |
| 7 | 2010 | 41 | |
| 8 | 2012 | 39 | |
| 9 | 2014 | 36 | |
| 10 | 2014 | 36 | |
| 11 | 2019 | 36 | |
| 12 | 2016 | 35 | |
| 13 | 2009 | 32 | |
| 14 | 2011 | 31 | |
| 15 | 2014 | 30 | |
| 16 | 2010 | 30 | |
| 17 | 2011 | 27 | |
| 18 | 2015 | 25 | |
| 19 | 2021 | 21 | |
| 20 | 2011 | 18 |
About Yi-Tong Ma
Yi-Tong Ma is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology, having authored 103 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Lipoproteins and Cardiovascular Health (13 papers), Hormonal Regulation and Hypertension (11 papers), Lipid metabolism and disorders (8 papers), Cholesterol and Lipid Metabolism (7 papers), Eicosanoids and Hypertension Pharmacology (7 papers), Liver Disease Diagnosis and Treatment (6 papers) and Tissue Engineering and Regenerative Medicine (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (263 citations), Cardiology and Cardiovascular Medicine (283 citations), Cancer Research (175 citations), Surgery (474 citations) and Biomaterials (136 citations). Yi-Tong Ma has collaborated with scholars based in China, Estonia and Japan. Frequent co-authors include Zhen-Yan Fu, Bang‐Dang Chen, Xiang Xie, Yi‐Ning Yang, Xiao‐Mei Li, Xiang Ma, Fen Liu, Fen Liu, Bao‐Liang Song and Bo-Liang Li. Their work appears in journals such as PLoS ONE, Journal of the American College of Cardiology, Medicine, Lipids in Health and Disease and International Journal of Biological Macromolecules.
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.