Xiaochen Yu
Impact in
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- Diabetes Treatment and Management
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
Papers in
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- Metabolism, Diabetes, and Cancer 3
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- Biochemical effects in animals 3
- Co-authors
- Liming Chen (11 shared papers)Bei Sun (11 shared papers)Mei Xue (10 shared papers)Linxin Xu (9 shared papers)Ying Cheng (7 shared papers)Yunhong Lu (5 shared papers)Xiangyang Liu (2 shared papers)Xiaoyu Li (2 shared papers)
In The Last Decade
Xiaochen Yu
32 papers receiving 1.1k citations
Xiaochen Yu's Hit Papers
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 361
- Nephrology 77
- Cardiology and Cardiovascular Medicine 218
- Clinical Biochemistry 44
- Molecular Biology 403
Countries citing papers authored by Xiaochen Yu
This map shows the geographic impact of Xiaochen Yu'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 Xiaochen Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochen Yu more than expected).
Fields of papers citing papers by Xiaochen Yu
This network shows the impact of papers produced by Xiaochen Yu. 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 Xiaochen Yu. The network helps show where Xiaochen Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaochen Yu, 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 | SGLT2 inhibition with empagliflozin attenuates myocardial oxidative stress and fibrosis in diabetic mice heart Hit paper breakdown → | 2019 | 458 |
| 2 | 2020 | 101 | |
| 3 | 2019 | 89 | |
| 4 | 2019 | 65 | |
| 5 | 2019 | 55 | |
| 6 | 2019 | 53 | |
| 7 | 2019 | 46 | |
| 8 | 2021 | 29 | |
| 9 | 2021 | 27 | |
| 10 | 2019 | 21 | |
| 11 | 2021 | 21 | |
| 12 | 2023 | 19 | |
| 13 | 2021 | 17 | |
| 14 | 2022 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2021 | 13 | |
| 18 | 2014 | 12 | |
| 19 | 2017 | 11 | |
| 20 | 2021 | 10 |
About Xiaochen Yu
Xiaochen Yu is a scholar working on Molecular Biology, Physiology, Immunology, Surgery and Epidemiology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Pancreatic function and diabetes (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Biochemical effects in animals (3 papers), Muscle metabolism and nutrition (2 papers), Fatty Acid Research and Health (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (361 citations), Nephrology (77 citations), Cardiology and Cardiovascular Medicine (218 citations), Clinical Biochemistry (44 citations) and Molecular Biology (403 citations). Xiaochen Yu has collaborated with scholars based in China, Spain and Japan. Frequent co-authors include Liming Chen, Bei Sun, Mei Xue, Linxin Xu, Ying Cheng, Yunhong Lu, Xiangyang Liu, Xiaoyu Li, Jie Zhang and Fei Han. Their work appears in journals such as Nutrients, Frontiers in Physiology, Frontiers in Pharmacology, Molecular and Cellular Endocrinology and Biochemical and Biophysical Research Communications.
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.