Yue Qi
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Endocrine and Autonomic Systems top 1%
- Co-authors
- Wenquan NiuJing LiuDong ZhaoIain J. ClarkeJonathan R. LindnerHerbert HerzogAris XieMiao Wang
- Topics
- Lipoproteins and Cardiovascular Health (26 papers)Regulation of Appetite and Obesity (21 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yue Qi
184 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 147
- Cardiology and Cardiovascular Medicine 1.2k
- Molecular Biology 871
- Surgery 794
- Endocrinology, Diabetes and Metabolism 750
- Endocrine and Autonomic Systems 690
Countries citing papers authored by Yue Qi
This map shows the geographic impact of Yue Qi'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 Yue Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Qi more than expected).
Fields of papers citing papers by Yue Qi
This network shows the impact of papers produced by Yue Qi. 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 Yue Qi. The network helps show where Yue Qi may publish in the future.
Co-authorship network of co-authors of Yue Qi
This figure shows the co-authorship network connecting the top 25 collaborators of Yue Qi. A scholar is included among the top collaborators of Yue Qi 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 Yue Qi. Yue Qi 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 | 1 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 39 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 102 | |
| 14 | 122 | |
| 15 | Snord116 is critical in the regulation of food intake and body weight | 4 |
| 16 | Behavioural characteristics of the Prader–Willi syndrome related biallelic Snord116 mouse model | 3 |
| 17 | [The prevalence of risk factors and status of clinical practice patterns among hospitalized patients with acute coronary syndromes]. | 3 |
| 18 | 32 | |
| 19 | 24 | |
| 20 | Abstract 12649: Molecular Imaging Using Recombinant PSGL-1 as a Pan-selectin Targeting Moiety Provides Prolonged and Selective Tissue Enhancement for Detecting Recent Ischemia | 1 |
About Yue Qi
Yue Qi is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 194 papers that have together received 4.8k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (26 papers), Regulation of Appetite and Obesity (21 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers). The work is most often cited by research in Endocrine and Autonomic Systems (690 citations), Reproductive Medicine (493 citations) and Cardiology and Cardiovascular Medicine (1.2k citations). Yue Qi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wenquan Niu, Jing Liu, Dong Zhao, Iain J. Clarke, Jonathan R. Lindner, Herbert Herzog, Aris Xie, Miao Wang, Jiayi Sun and Wuxiang Xie. Their work appears in journals such as Circulation, Nature Communications and Neuron.
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.