Xiang Xie
- Infectious Diseases top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Neurology top 1%
- Molecular Biology top 10%
- Surgery top 5%
- Co-authors
- Ying‐Ying ZhengYi‐Tong MaJinying ZhangBang‐Dang ChenYi‐Ning YangZhen-Yan FuXiao‐Mei LiXiang Ma
- Topics
- Lipoproteins and Cardiovascular Health (20 papers)Hormonal Regulation and Hypertension (20 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiang Xie
173 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Infectious Diseases 1.5k
- Cardiology and Cardiovascular Medicine 1.1k
- Neurology 889
- Molecular Biology 831
- Surgery 590
Countries citing papers authored by Xiang Xie
This map shows the geographic impact of Xiang Xie'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 Xiang Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Xie more than expected).
Fields of papers citing papers by Xiang Xie
This network shows the impact of papers produced by Xiang Xie. 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 Xiang Xie. The network helps show where Xiang Xie may publish in the future.
Co-authorship network of co-authors of Xiang Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Xie. A scholar is included among the top collaborators of Xiang Xie 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 Xiang Xie. Xiang Xie 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 | 0 | |
| 3 | 22 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 28 | |
| 10 | Construction of Emergency Mobilization Information Management Capabilities Based on Cyberspace | 0 |
| 11 | 7 | |
| 12 | 11 | |
| 13 | 15 | |
| 14 | 6 | |
| 15 | 36 | |
| 16 | [Association between intercellular adhesion molecule-1 K469E polymorphism and coronary heart disease in people with Uygur ethnicity, in Xinjiang]. | 1 |
| 17 | [Prevalence and associated factors of diabetes mellitus in children of Han, Uigurs and Kazaks ethnicities in Xinjiang]. | 4 |
| 18 | Strengthen the Role of Special Commissioners of Science and Technology in the Promotion of New Rural Construction and Research on the Development Strategies | 0 |
| 19 | 3 | |
| 20 | 1 |
About Xiang Xie
Xiang Xie is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 186 papers that have together received 4.6k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (20 papers), Hormonal Regulation and Hypertension (20 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Neurology (889 citations) and Cardiology and Cardiovascular Medicine (1.1k citations). Xiang Xie has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ying‐Ying Zheng, Yi‐Tong Ma, Jinying Zhang, Bang‐Dang Chen, Yi‐Ning Yang, Zhen-Yan Fu, Xiao‐Mei Li, Xiang Ma, Yi-Tong Ma and Huan Chen. Their work appears in journals such as Nature Communications, Journal of the American College of Cardiology and PLoS ONE.
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.