Shaodi Yan
Impact in
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- Antiplatelet Therapy and Cardiovascular Diseases
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- Hormonal Regulation and Hypertension
- Diabetes Treatment and Management
Papers in
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- Acute Myocardial Infarction Research 6
- Cardiac Health and Mental Health 2
- Heart Failure Treatment and Management 2
- Heart rate and cardiovascular health 1
- Surgery 7
- Coronary Interventions and Diagnostics 4
- Lipoproteins and Cardiovascular Health 3
- Co-authors
- Dejia Huang (7 shared papers)Xiaoqing Wang (3 shared papers)Xiao Ke (2 shared papers)Hongbing Yan (15 shared papers)Jiafu Wei (5 shared papers)Jinying Zhou (16 shared papers)Runzhen Chen (18 shared papers)Yong Peng (7 shared papers)
In The Last Decade
Shaodi Yan
29 papers receiving 348 citations
Peers
Comparison fields: 5 of 58
- Cardiology and Cardiovascular Medicine 96
- Endocrinology, Diabetes and Metabolism 48
- Nephrology 14
- Cancer Research 24
- Radiology, Nuclear Medicine and Imaging 31
Countries citing papers authored by Shaodi Yan
This map shows the geographic impact of Shaodi Yan'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 Shaodi Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaodi Yan more than expected).
Fields of papers citing papers by Shaodi Yan
This network shows the impact of papers produced by Shaodi Yan. 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 Shaodi Yan. The network helps show where Shaodi Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaodi Yan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 47 | |
| 2 | 2010 | 36 | |
| 3 | 2020 | 34 | |
| 4 | 2016 | 32 | |
| 5 | 2017 | 31 | |
| 6 | 2024 | 25 | |
| 7 | 2022 | 24 | |
| 8 | 2011 | 18 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2011 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2011 | 4 |
About Shaodi Yan
Shaodi Yan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Cancer Research and Nutrition and Dietetics, having authored 32 papers that have together received 350 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (6 papers), Coronary Interventions and Diagnostics (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiac Health and Mental Health (2 papers), Fatty Acid Research and Health (2 papers), Heart Failure Treatment and Management (2 papers) and Heart rate and cardiovascular health (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (96 citations), Endocrinology, Diabetes and Metabolism (48 citations), Nephrology (14 citations), Cancer Research (24 citations) and Radiology, Nuclear Medicine and Imaging (31 citations). Shaodi Yan has collaborated with scholars based in China, Poland and Hong Kong. Frequent co-authors include Dejia Huang, Xiaoqing Wang, Xiao Ke, Hongbing Yan, Jiafu Wei, Jinying Zhou, Runzhen Chen, Yong Peng, Hanjun Zhao and Jiannan Li. Their work appears in journals such as Cardiovascular Diabetology, Journal of Inflammation Research, Pharmacological Research, International Journal of Cardiology and Journal of Cardiovascular Development and Disease.
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.