Yanqing Chi
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
Papers in
-
- Chronic Kidney Disease and Diabetes 6
- Renal Diseases and Glomerulopathies 4
- Co-authors
- Ying Li (4 shared papers)Maodong Liu (8 shared papers)Honglin Niu (3 shared papers)Baoxing Wang (6 shared papers)Tao Zhang (1 shared paper)Wei Liu (1 shared paper)Ying Li (3 shared papers)Hua Lü (1 shared paper)
- Journals
- BMC Nephrology (3 papers)Biochemical and Biophysical Research Communications (3 papers)International Journal of Molecular Medicine (2 papers)Journal of Nephrology (1 paper)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yanqing Chi
22 papers receiving 577 citations
Peers
Comparison fields: 5 of 82
- Geriatrics and Gerontology 103
- Nephrology 134
- Clinical Biochemistry 67
- Physiology 31
- Aging 8
Countries citing papers authored by Yanqing Chi
This map shows the geographic impact of Yanqing Chi'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 Yanqing Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanqing Chi more than expected).
Fields of papers citing papers by Yanqing Chi
This network shows the impact of papers produced by Yanqing Chi. 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 Yanqing Chi. The network helps show where Yanqing Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanqing Chi, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 120 | |
| 2 | 2019 | 60 | |
| 3 | 2018 | 50 | |
| 4 | 2016 | 42 | |
| 5 | 2019 | 41 | |
| 6 | 2013 | 37 | |
| 7 | 2017 | 37 | |
| 8 | 2016 | 32 | |
| 9 | 2018 | 31 | |
| 10 | 2013 | 24 | |
| 11 | 2014 | 22 | |
| 12 | 2015 | 20 | |
| 13 | 2019 | 16 | |
| 14 | 2019 | 11 | |
| 15 | 2022 | 8 | |
| 16 | 2011 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 3 |
About Yanqing Chi
Yanqing Chi is a scholar working on Molecular Biology, Nephrology, Surgery, Clinical Biochemistry and Geriatrics and Gerontology, having authored 23 papers that have together received 577 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (6 papers), Advanced Glycation End Products research (4 papers), Renal Diseases and Glomerulopathies (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Silicon Carbide Semiconductor Technologies (3 papers), Pancreatic function and diabetes (2 papers), Semiconductor materials and devices (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Geriatrics and Gerontology (103 citations), Nephrology (134 citations), Clinical Biochemistry (67 citations), Physiology (31 citations) and Aging (8 citations). Yanqing Chi has collaborated with scholars based in China and United States. Frequent co-authors include Ying Li, Maodong Liu, Honglin Niu, Baoxing Wang, Tao Zhang, Wei Liu, Ying Li, Hua Lü, Yonghong Shi and Tao Zhang. Their work appears in journals such as BMC Nephrology, Biochemical and Biophysical Research Communications, International Journal of Molecular Medicine, Journal of Nephrology and Journal of Cellular Biochemistry.
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.