Sheng Yuan
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- Acute Myocardial Infarction Research 13
- Cardiovascular Function and Risk Factors 8
- Antiplatelet Therapy and Cardiovascular Diseases 5
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- Diabetes, Cardiovascular Risks, and Lipoproteins 7
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- Cardiac Imaging and Diagnostics 11
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- Coronary Interventions and Diagnostics 10
- Lipoproteins and Cardiovascular Health 7
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- Inflammatory Biomarkers in Disease Prognosis 5
- Cited by
- Health, Toxicology and MutagenesisCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Journals
- Cardiovascular Diabetology (7 papers)Diabetes Research and Clinical Practice (3 papers)Journal of the American Heart Association (2 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Sheng Yuan
41 papers receiving 464 citations
Peers
Comparison fields: 5 of 92
- Health, Toxicology and Mutagenesis 98
- Cardiology and Cardiovascular Medicine 142
- Endocrinology, Diabetes and Metabolism 74
- Radiology, Nuclear Medicine and Imaging 67
- Environmental Engineering 41
Countries citing papers authored by Sheng Yuan
This map shows the geographic impact of Sheng Yuan'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 Sheng Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Yuan more than expected).
Fields of papers citing papers by Sheng Yuan
This network shows the impact of papers produced by Sheng Yuan. 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 Sheng Yuan. The network helps show where Sheng Yuan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sheng Yuan, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 21 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2022 | 47 | |
| 13 | 2022 | 16 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 2 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 9 | |
| 18 | 2021 | 4 | |
| 19 | 2020 | 13 | |
| 20 | 2019 | 104 |
About Sheng Yuan
Sheng Yuan is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 469 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (13 papers), Cardiac Imaging and Diagnostics (11 papers), Coronary Interventions and Diagnostics (10 papers), Cardiovascular Function and Risk Factors (8 papers), Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers) and Inflammatory Biomarkers in Disease Prognosis (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (98 citations), Cardiology and Cardiovascular Medicine (142 citations) and Endocrinology, Diabetes and Metabolism (74 citations). Sheng Yuan has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Kefei Dou, Chenxi Song, Jining He, Yuchai Huang, Ziyu He, Jiaxin Wang, Shiyi Cao, Qingqing Jiang, Zhengyang Li and Rui Zhang. Their work appears in journals such as Cardiovascular Diabetology, Diabetes Research and Clinical Practice, Journal of the American Heart Association, Nutrition Metabolism and Cardiovascular Diseases and Journal of Inflammation 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.