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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- Liver Disease Diagnosis and Treatment 6
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- Diabetes, Cardiovascular Risks, and Lipoproteins 5
- Co-authors
- Xiaofei Shao (8 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)Mi Li (4 shared papers)
In The Last Decade
Shanying Chen
20 papers receiving 455 citations
Peers
Comparison fields: 5 of 105
- Nephrology 102
- Endocrinology, Diabetes and Metabolism 114
- Obstetrics and Gynecology 49
- Management Science and Operations Research 45
- Epidemiology 124
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2017 | 48 | |
| 3 | 2013 | 47 | |
| 4 | 2014 | 46 | |
| 5 | 2015 | 40 | |
| 6 | 2013 | 40 | |
| 7 | 2013 | 30 | |
| 8 | 2015 | 28 | |
| 9 | 2014 | 20 | |
| 10 | 2015 | 19 | |
| 11 | 2015 | 16 | |
| 12 | 2013 | 14 | |
| 13 | 2014 | 12 | |
| 14 | 2013 | 11 | |
| 15 | 2020 | 10 | |
| 16 | 2019 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2020 | 3 | |
| 20 | 2025 | 1 |
About Shanying Chen
Shanying Chen is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Nephrology, Surgery and Molecular Biology, having authored 21 papers that have together received 466 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Bone health and osteoporosis research (2 papers), Stock Market Forecasting Methods (2 papers), Pregnancy and Medication Impact (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Machine Learning in Bioinformatics (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Nephrology (102 citations), Endocrinology, Diabetes and Metabolism (114 citations), Obstetrics and Gynecology (49 citations), Management Science and Operations Research (45 citations) and Epidemiology (124 citations). Shanying Chen has collaborated with scholars based in China, Ireland and Australia. Frequent co-authors include Xiaofei Shao, Dabin Zhang, Yan Liang, Harry Holthöfer, Yongqiang Li, Hequn Zou, Xinyu Liu, Mi Li, Hequn Zou and Youming Chen. Their work appears in journals such as International Journal of Environmental Research and Public Health, PLoS ONE, Clinical Nephrology, Blood Purification and Kidney & Blood Pressure 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.