Xuping Wang
- Molecular Biology top 2%
- Surgery top 1%
- Immunology top 1%
- Epidemiology top 5%
- Cancer Research top 2%
- Co-authors
- Aldons J. LusisDiana M. ShihLawrence W. CastellaniWeibin ShiZory ShaposhnikBrian J. BennettYu-Rong XiaMargarete Mehrabian
- Topics
- Atherosclerosis and Cardiovascular Diseases (17 papers)Cholesterol and Lipid Metabolism (14 papers)Peroxisome Proliferator-Activated Receptors (14 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xuping Wang
124 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 3.0k
- Surgery 1.9k
- Immunology 1.7k
- Epidemiology 821
- Cancer Research 767
Countries citing papers authored by Xuping Wang
This map shows the geographic impact of Xuping Wang'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 Xuping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuping Wang more than expected).
Fields of papers citing papers by Xuping Wang
This network shows the impact of papers produced by Xuping Wang. 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 Xuping Wang. The network helps show where Xuping Wang may publish in the future.
Co-authorship network of co-authors of Xuping Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xuping Wang. A scholar is included among the top collaborators of Xuping Wang 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 Xuping Wang. Xuping Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 21 | |
| 3 | 0 | |
| 4 | 141 | |
| 5 | 26 | |
| 6 | XX sex chromosome complement promotes atherosclerosis in micebreakdown → | 212 |
| 7 | Simulation and experiment on obstacle-surmounting performance of four swing arms and six tracked robot under unilateral step environment. | 9 |
| 8 | 57 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | 43 | |
| 12 | 3 | |
| 13 | 67 | |
| 14 | 39 | |
| 15 | 30 | |
| 16 | 13 | |
| 17 | Silibinin restores paclitaxel sensitivity to paclitaxel-resistant human ovarian carcinoma cells. | 46 |
| 18 | 60 | |
| 19 | 113 | |
| 20 | 261 |
About Xuping Wang
Xuping Wang is a scholar working on Immunology, Cancer Research and Molecular Biology, having authored 126 papers that have together received 8.1k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (17 papers), Cholesterol and Lipid Metabolism (14 papers) and Peroxisome Proliferator-Activated Receptors (14 papers). The work is most often cited by research in Clinical Biochemistry (717 citations), Biochemistry (607 citations) and Immunology (1.7k citations). Xuping Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Aldons J. Lusis, Diana M. Shih, Lawrence W. Castellani, Weibin Shi, Zory Shaposhnik, Brian J. Bennett, Yu-Rong Xia, Margarete Mehrabian, Mohamad Navab and Jack Wong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.