Yu Qin
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology top 10%
- Physiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Topics
- Cardiovascular Health and Risk Factors (15 papers)Nutritional Studies and Diet (11 papers)Sleep and related disorders (10 papers)
- Journals
- The LancetPLoS ONEScientific Reports
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yu Qin
99 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 678
- Endocrinology, Diabetes and Metabolism 412
- Epidemiology 401
- Physiology 349
- Public Health, Environmental and Occupational Health 321
Countries citing papers authored by Yu Qin
This map shows the geographic impact of Yu Qin'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 Yu Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Qin more than expected).
Fields of papers citing papers by Yu Qin
This network shows the impact of papers produced by Yu Qin. 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 Yu Qin. The network helps show where Yu Qin may publish in the future.
Co-authorship network of co-authors of Yu Qin
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Qin. A scholar is included among the top collaborators of Yu Qin 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 Yu Qin. Yu Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 1 | |
| 15 | Relationship between premenstrual syndrome and type D personality in female college students | 1 |
| 16 | Product Pedigrees of Scenic Byway Based on Wording Frequency——A Case Study of Blue Ridge Road | 1 |
| 17 | Effect of Electroacupuncturing Shenmen(HT7) on P300 of Event-related Potentials in Rats of Wilson's Disease | 1 |
| 18 | Comparison of the post-regulation seatbelt-wearing experience in China and Australia | 2 |
| 19 | [Study on the situation of seat belt wearing among drivers and front-seat passengers of vehicles in Nanjing in 2005-2007]. | 2 |
| 20 | Stunting and zinc deficiency among primary school children in rural areas with low soil zinc concentrations in Jiangsu Province, China. | 20 |
About Yu Qin
Yu Qin is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Safety, Risk, Reliability and Quality, having authored 113 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cardiovascular Health and Risk Factors (15 papers), Nutritional Studies and Diet (11 papers) and Sleep and related disorders (10 papers). The work is most often cited by research in Geriatrics and Gerontology (126 citations), Complementary and alternative medicine (212 citations) and Biochemistry (150 citations). Yu Qin has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Mantian Mi, Qianyong Zhang, Li Ran, Shihui Chen, Xiaolan Zhao, Quanyong Xiang, Ming Wu, Yanxiang Gao, Jundong Zhu and Lijia Yuan. Their work appears in journals such as The Lancet, PLoS ONE and Scientific Reports.
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.