Yang Dezhai
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Genetics top 10%
- Co-authors
- Rui‐Xing YinJin‐Zhen WuShang‐Ling PanLin WeixiongWeixiong LinChen Yu-mingFeng HuangLimei Yao
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers)Lipid metabolism and disorders (14 papers)Lipoproteins and Cardiovascular Health (11 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineCancer Research
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Yang Dezhai
49 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Surgery 367
- Endocrinology, Diabetes and Metabolism 356
- Cardiology and Cardiovascular Medicine 345
- Molecular Biology 317
- Genetics 193
Countries citing papers authored by Yang Dezhai
This map shows the geographic impact of Yang Dezhai'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 Yang Dezhai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Dezhai more than expected).
Fields of papers citing papers by Yang Dezhai
This network shows the impact of papers produced by Yang Dezhai. 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 Yang Dezhai. The network helps show where Yang Dezhai may publish in the future.
Co-authorship network of co-authors of Yang Dezhai
This figure shows the co-authorship network connecting the top 25 collaborators of Yang Dezhai. A scholar is included among the top collaborators of Yang Dezhai 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 Yang Dezhai. Yang Dezhai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 9 | |
| 3 | 103 | |
| 4 | 4 | |
| 5 | 99 | |
| 6 | 13 | |
| 7 | 23 | |
| 8 | 18 | |
| 9 | 22 | |
| 10 | 47 | |
| 11 | 23 | |
| 12 | 42 | |
| 13 | 23 | |
| 14 | 10 | |
| 15 | 66 | |
| 16 | 42 | |
| 17 | 10 | |
| 18 | 47 | |
| 19 | 18 | |
| 20 | [Relationship between the polymorphism of microsomal triglyceride transfer protein gene and the level of serum lipids in Guangxi Heiyi Zhuang population]. | 9 |
About Yang Dezhai
Yang Dezhai is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Lipid metabolism and disorders (14 papers) and Lipoproteins and Cardiovascular Health (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (356 citations), Cardiology and Cardiovascular Medicine (345 citations) and Cancer Research (133 citations). Yang Dezhai has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Rui‐Xing Yin, Jin‐Zhen Wu, Shang‐Ling Pan, Lin Weixiong, Weixiong Lin, Chen Yu-ming, Feng Huang, Limei Yao, Qinghui Zhang and Hai Wu. Their work appears in journals such as Scientific Reports, The American Journal of Medicine and Journal of Lipid Research.
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.