Qidi Ying
Impact in
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
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- Cancer, Lipids, and Metabolism
Papers in
- Surgery 11
- Lipoproteins and Cardiovascular Health 10
- Cholesterol and Lipid Metabolism 2
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- Diabetes, Cardiovascular Risks, and Lipoproteins 6
- Co-authors
- Guanzhong Wu (3 shared papers)Dick C. Chan (9 shared papers)Gerald F. Watts (9 shared papers)Lingman Ma (3 shared papers)P. Hugh R. Barrett (3 shared papers)Jing Pang (6 shared papers)Qian Yu (2 shared papers)Xin Xie (1 shared paper)
- Journals
- Metabolism (2 papers)Cell Death and Disease (1 paper)Current Opinion in Lipidology (1 paper)Renal Failure (1 paper)Journal of clinical lipidology (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Qidi Ying
14 papers receiving 299 citations
Peers
Comparison fields: 5 of 58
- Nephrology 59
- Cancer Research 63
- Endocrinology, Diabetes and Metabolism 49
- Biochemistry 17
- Geriatrics and Gerontology 10
Countries citing papers authored by Qidi Ying
This map shows the geographic impact of Qidi Ying'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 Qidi Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qidi Ying more than expected).
Fields of papers citing papers by Qidi Ying
This network shows the impact of papers produced by Qidi Ying. 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 Qidi Ying. The network helps show where Qidi Ying may publish in the future.
Co-authors
The 25 scholars most cited alongside Qidi Ying, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 98 | |
| 2 | 2019 | 77 | |
| 3 | 2020 | 51 | |
| 4 | 2017 | 13 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2016 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Qidi Ying
Qidi Ying is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Economics and Econometrics and Immunology, having authored 17 papers that have together received 300 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cancer, Lipids, and Metabolism (3 papers), Pharmaceutical Economics and Policy (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Cholesterol and Lipid Metabolism (2 papers), Fatty Acid Research and Health (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Nephrology (59 citations), Cancer Research (63 citations), Endocrinology, Diabetes and Metabolism (49 citations), Biochemistry (17 citations) and Geriatrics and Gerontology (10 citations). Qidi Ying has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Guanzhong Wu, Dick C. Chan, Gerald F. Watts, Lingman Ma, P. Hugh R. Barrett, Jing Pang, Qian Yu, Xin Xie, Zhaoshi Bai and Qing Wei. Their work appears in journals such as Metabolism, Cell Death and Disease, Current Opinion in Lipidology, Renal Failure and Journal of clinical lipidology.
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.