Xinghua Yang
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Topics
- Liver Disease Diagnosis and Treatment (15 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers)Alcohol Consumption and Health Effects (12 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xinghua Yang
90 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 124
- Epidemiology 289
- Cardiology and Cardiovascular Medicine 238
- Physiology 229
- Public Health, Environmental and Occupational Health 172
- Endocrinology, Diabetes and Metabolism 159
Countries citing papers authored by Xinghua Yang
This map shows the geographic impact of Xinghua Yang'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 Xinghua Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinghua Yang more than expected).
Fields of papers citing papers by Xinghua Yang
This network shows the impact of papers produced by Xinghua Yang. 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 Xinghua Yang. The network helps show where Xinghua Yang may publish in the future.
Co-authorship network of co-authors of Xinghua Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Xinghua Yang. A scholar is included among the top collaborators of Xinghua Yang 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 Xinghua Yang. Xinghua Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 44 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 17 | |
| 12 | 69 | |
| 13 | 8 | |
| 14 | 15 | |
| 15 | 1 | |
| 16 | 34 | |
| 17 | [Setting up a risk prediction model on metabolic syndrome among 35-74 year-olds based on the Taiwan MJ Health-checkup Database]. | 9 |
| 18 | Clinical effect of Poria cocos plus Little Pinellia ternata decoction in treating chemotherapy induced delayed nausea and vomiting | 0 |
| 19 | [Anatomic basis of the accompanying pattern of the superficial temporal arterial branches and veins and its clinical application]. | 1 |
| 20 | Recovery of Lignin from Reed Black Liquor of Paper-making by Acidulation Method | 2 |
About Xinghua Yang
Xinghua Yang is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Health, having authored 95 papers that have together received 1.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers) and Alcohol Consumption and Health Effects (12 papers). The work is most often cited by research in Health (114 citations), Geriatrics and Gerontology (50 citations) and Nephrology (85 citations). Xinghua Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xiuhua Guo, Lixin Tao, Wei Wang, Deqiang Zheng, Yanxia Luo, Haibin Li, Yuxiang Yan, Zhimin Ma, Xiangtong Liu and Siyan Zhan. Their work appears in journals such as PLoS ONE, Environmental Pollution and IEEE Access.
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.