Cailiang Yao
- Endocrinology, Diabetes and Metabolism
- Cardiology and Cardiovascular Medicine
- Surgery
- Molecular Biology
- Epidemiology
- Co-authors
- Jianfeng HuangWenjie YangDongliang GeDongfeng GuXiufang DuanBoqin QiangYan ShenZhengyuan Zhou
- Topics
- Lipid metabolism and disorders (5 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)Diet, Metabolism, and Disease (3 papers)
- Partner nations
- China
In The Last Decade
Cailiang Yao
10 papers receiving 68 citations
Peers
Comparison fields: 5 of 30
- Endocrinology, Diabetes and Metabolism 34
- Cardiology and Cardiovascular Medicine 26
- Surgery 18
- Molecular Biology 18
- Epidemiology 10
Countries citing papers authored by Cailiang Yao
This map shows the geographic impact of Cailiang Yao'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 Cailiang Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cailiang Yao more than expected).
Fields of papers citing papers by Cailiang Yao
This network shows the impact of papers produced by Cailiang Yao. 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 Cailiang Yao. The network helps show where Cailiang Yao may publish in the future.
Co-authorship network of co-authors of Cailiang Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Cailiang Yao. A scholar is included among the top collaborators of Cailiang Yao 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 Cailiang Yao. Cailiang Yao 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 | [A comparison of applicability in three diagnostic criteria of metabolic syndrome in Jiangsu population]. | 1 |
| 3 | 3 | |
| 4 | [Study on the prevalence of metabolic syndrome among 35-74 year-olds in Jiangsu province]. | 14 |
| 5 | [Study on the comparison of three diagnostic criteria of metabolic syndrome in Jiangsu population]. | 4 |
| 6 | [The relation between blood pressure level in prehypertensives and multiple metabolic disorders]. | 1 |
| 7 | 6 | |
| 8 | 16 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | [Relationship among the XhaI and EcoRI locus polymorphisms of apolipoprotein B gene, serum lipid metabolism and gallstone disease]. | 10 |
About Cailiang Yao
Cailiang Yao is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Complementary and alternative medicine, having authored 11 papers that have together received 71 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (34 citations), Cardiology and Cardiovascular Medicine (26 citations) and Surgery (18 citations). Cailiang Yao has collaborated with scholars based in China. Frequent co-authors include Jianfeng Huang, Wenjie Yang, Dongliang Ge, Dongfeng Gu, Xiufang Duan, Boqin Qiang, Yan Shen, Zhengyuan Zhou, Zumin Shi and Xiao‐shu Hu. Their work appears in journals such as Journal of Hypertension, Clinical Science and Human Genetics.
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.