Xie Wu
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Nutrition and Dietetics top 10%
- Infectious Diseases top 10%
- Molecular Biology
- Co-authors
- Kathryn SandbergHong JiWei ZhengArthur P. ArnoldJun LiuStefano MeniniCarlo PesceRobert C. Speth
- Topics
- Hormonal Regulation and Hypertension (11 papers)Sodium Intake and Health (6 papers)Renin-Angiotensin System Studies (4 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismBehavioral NeuroscienceCardiology and Cardiovascular Medicine
- Journals
- HypertensionAmerican Journal of Physiology-Heart and Circulatory PhysiologyAmerican Journal of Physiology-Regulatory, Integrative and Comparative Physiology
- Partner nations
- United StatesItalyChina
In The Last Decade
Xie Wu
17 papers receiving 843 citations
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 310
- Cardiology and Cardiovascular Medicine 284
- Nutrition and Dietetics 143
- Infectious Diseases 126
- Molecular Biology 124
Countries citing papers authored by Xie Wu
This map shows the geographic impact of Xie Wu'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 Xie Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xie Wu more than expected).
Fields of papers citing papers by Xie Wu
This network shows the impact of papers produced by Xie Wu. 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 Xie Wu. The network helps show where Xie Wu may publish in the future.
Co-authorship network of co-authors of Xie Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Xie Wu. A scholar is included among the top collaborators of Xie Wu 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 Xie Wu. Xie Wu 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 | 8 | |
| 3 | 24 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 20 | |
| 7 | 9 | |
| 8 | 10 | |
| 9 | 43 | |
| 10 | 1 | |
| 11 | 107 | |
| 12 | 45 | |
| 13 | 198 | |
| 14 | 116 | |
| 15 | 69 | |
| 16 | 19 | |
| 17 | 96 | |
| 18 | 73 |
About Xie Wu
Xie Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Endocrine and Autonomic Systems, having authored 18 papers that have together received 849 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (11 papers), Sodium Intake and Health (6 papers) and Renin-Angiotensin System Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (310 citations), Behavioral Neuroscience (55 citations) and Cardiology and Cardiovascular Medicine (284 citations). Xie Wu has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Kathryn Sandberg, Hong Ji, Wei Zheng, Arthur P. Arnold, Jun Liu, Stefano Menini, Carlo Pesce, Wei Zheng, Robert C. Speth and Carolyn Ecelbarger. Their work appears in journals such as Hypertension, American Journal of Physiology-Heart and Circulatory Physiology and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.
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.