Rui‐Xing Yin
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Genetics top 5%
- Co-authors
- Jin‐Zhen WuYang DezhaiShang‐Ling PanDong‐Feng WuLynn Htet Htet AungXiaoli CaoWeixiong LinWu‐Xian Chen
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (55 papers)Lipoproteins and Cardiovascular Health (37 papers)Genetic Associations and Epidemiology (36 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineCancer Research
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Rui‐Xing Yin
159 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 132
- Surgery 1.0k
- Endocrinology, Diabetes and Metabolism 805
- Molecular Biology 791
- Cardiology and Cardiovascular Medicine 787
- Genetics 567
Countries citing papers authored by Rui‐Xing Yin
This map shows the geographic impact of Rui‐Xing Yin'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 Rui‐Xing Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui‐Xing Yin more than expected).
Fields of papers citing papers by Rui‐Xing Yin
This network shows the impact of papers produced by Rui‐Xing Yin. 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 Rui‐Xing Yin. The network helps show where Rui‐Xing Yin may publish in the future.
Co-authorship network of co-authors of Rui‐Xing Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Rui‐Xing Yin. A scholar is included among the top collaborators of Rui‐Xing Yin 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 Rui‐Xing Yin. Rui‐Xing Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 20 | |
| 3 | Association of variants in CELSR2-PSRC1-SORT1 with risk of serum lipid traits, coronary artery disease and ischemic stroke. | 26 |
| 4 | Association between the MARS rs6782181 polymorphism and serum lipid levels. | 3 |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 16 | |
| 9 | 8 | |
| 10 | 18 | |
| 11 | 34 | |
| 12 | 23 | |
| 13 | 18 | |
| 14 | 23 | |
| 15 | 66 | |
| 16 | 42 | |
| 17 | 10 | |
| 18 | 47 | |
| 19 | [Relationship between the polymorphism of microsomal triglyceride transfer protein gene and the level of serum lipids in Guangxi Heiyi Zhuang population]. | 9 |
| 20 | Changes of serum vascular endothelial growth factor levels in a rat model of acute myocardial infarction | 1 |
About Rui‐Xing Yin
Rui‐Xing Yin is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Genetics, having authored 162 papers that have together received 3.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (55 papers), Lipoproteins and Cardiovascular Health (37 papers) and Genetic Associations and Epidemiology (36 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (805 citations), Cardiology and Cardiovascular Medicine (787 citations) and Cancer Research (347 citations). Rui‐Xing Yin has collaborated with scholars based in China, United States and India. Frequent co-authors include Jin‐Zhen Wu, Yang Dezhai, Shang‐Ling Pan, Dong‐Feng Wu, Lynn Htet Htet Aung, Xiaoli Cao, Weixiong Lin, Wu‐Xian Chen, Lin Weixiong and Feng Huang. Their work appears in journals such as Journal of the American College of Cardiology, 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.