Qingyang Shi
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Health, Toxicology and Mutagenesis top 10%
- Environmental Chemistry top 5%
- Molecular Biology
- Co-authors
- Sheyu LiJay GanYanjiao ShenX.C. JiaoBirong DongQiukui HaoJin HuangKailei Nong
- Topics
- Diabetes Treatment and Management (9 papers)Per- and polyfluoroalkyl substances research (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyAnnals of Internal Medicine
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qingyang Shi
33 papers receiving 803 citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Physiology 248
- Endocrinology, Diabetes and Metabolism 201
- Health, Toxicology and Mutagenesis 138
- Environmental Chemistry 135
- Molecular Biology 106
Countries citing papers authored by Qingyang Shi
This map shows the geographic impact of Qingyang Shi'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 Qingyang Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingyang Shi more than expected).
Fields of papers citing papers by Qingyang Shi
This network shows the impact of papers produced by Qingyang Shi. 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 Qingyang Shi. The network helps show where Qingyang Shi may publish in the future.
Co-authorship network of co-authors of Qingyang Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Qingyang Shi. A scholar is included among the top collaborators of Qingyang Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qingyang Shi. Qingyang Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | Exercise for sarcopenia in older people: A systematic review and network meta‐analysisbreakdown → | 211 |
| 8 | 18 | |
| 9 | 51 | |
| 10 | 34 | |
| 11 | 25 | |
| 12 | 11 | |
| 13 | 39 | |
| 14 | 16 | |
| 15 | 56 | |
| 16 | 5 | |
| 17 | 48 | |
| 18 | 26 | |
| 19 | 9 | |
| 20 | 7 |
About Qingyang Shi
Qingyang Shi is a scholar working on Microbiology, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 35 papers that have together received 812 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Per- and polyfluoroalkyl substances research (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Geriatrics and Gerontology (59 citations), Environmental Chemistry (135 citations) and Endocrinology, Diabetes and Metabolism (201 citations). Qingyang Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sheyu Li, Jay Gan, Yanjiao Shen, X.C. Jiao, Birong Dong, Qiukui Hao, Jin Huang, Kailei Nong, Jirong Yue and Marla Beauchamp. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Annals of Internal Medicine.
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.