Shanying Chen
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Gout, Hyperuricemia, Uric Acid
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Chronic Kidney Disease and Diabetes 4
- Gout, Hyperuricemia, Uric Acid 1
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- Metabolism, Diabetes, and Cancer 1
- Co-authors
- Xiaofei Shao (8 shared papers)Liwen Ling (4 shared papers)Dabin Zhang (4 shared papers)Yan Liang (6 shared papers)Harry Holthöfer (5 shared papers)Yongqiang Li (4 shared papers)Hequn Zou (5 shared papers)Xinyu Liu (3 shared papers)
In The Last Decade
Shanying Chen
20 papers receiving 475 citations
Peers
Comparison fields: 5 of 96
- Nephrology 92
- Endocrinology, Diabetes and Metabolism 73
- Obstetrics and Gynecology 30
- Management Science and Operations Research 48
- Rheumatology 32
Countries citing papers authored by Shanying Chen
This map shows the geographic impact of Shanying Chen'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 Shanying Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanying Chen more than expected).
Fields of papers citing papers by Shanying Chen
This network shows the impact of papers produced by Shanying Chen. 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 Shanying Chen. The network helps show where Shanying Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shanying Chen, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 2017 | 48 | |
| 3 | 2013 | 48 | |
| 4 | 2014 | 45 | |
| 5 | 2015 | 43 | |
| 6 | 2013 | 41 | |
| 7 | 2013 | 30 | |
| 8 | 2015 | 30 | |
| 9 | 2014 | 23 | |
| 10 | 2015 | 19 | |
| 11 | 2015 | 16 | |
| 12 | 2013 | 13 | |
| 13 | 2014 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2013 | 11 | |
| 16 | 2022 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2020 | 3 | |
| 20 | 2025 | 1 |
About Shanying Chen
Shanying Chen is a scholar working on Nephrology, Molecular Biology, Management Science and Operations Research, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 22 papers that have together received 485 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Stock Market Forecasting Methods (2 papers), Gout, Hyperuricemia, Uric Acid (1 paper), Blood Pressure and Hypertension Studies (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Energy Load and Power Forecasting (1 paper). The work is most often cited by research in Nephrology (92 citations), Endocrinology, Diabetes and Metabolism (73 citations), Obstetrics and Gynecology (30 citations), Management Science and Operations Research (48 citations) and Rheumatology (32 citations). Shanying Chen has collaborated with scholars based in China, Ireland and Australia. Frequent co-authors include Xiaofei Shao, Liwen Ling, Dabin Zhang, Yan Liang, Harry Holthöfer, Yongqiang Li, Hequn Zou, Xinyu Liu, Mi Li and Hequn Zou. Their work appears in journals such as International Journal of Environmental Research and Public Health, PLoS ONE, Clinical Nephrology, Blood Purification and Journal of Forecasting.
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.