Xiaoxing Wang
Impact in
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Cancer Research top 5%
Papers in
-
- Extracellular vesicles in disease 8
- Epidemiology 23
- Co-authors
- William C. Hahn (6 shared papers)Joseph Rosenbluh (3 shared papers)Wei Dai (10 shared papers)David E. Root (3 shared papers)Zhuowei Hu (8 shared papers)Thomas M. Roberts (2 shared papers)Wen Xue (1 shared paper)Diane D. Shao (1 shared paper)
- Journals
- The Journal of Clinical Pharmacology (5 papers)Cell Cycle (4 papers)Acta Pharmacologica Sinica (3 papers)Journal of Virology (3 papers)Cell (2 papers)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Xiaoxing Wang
95 papers receiving 3.0k citations
Xiaoxing Wang's Hit Papers
Peers
Comparison fields: 5 of 134
- Cell Biology 666
- Cancer Research 368
- Molecular Biology 1.5k
- Oncology 565
- Virology 76
Countries citing papers authored by Xiaoxing Wang
This map shows the geographic impact of Xiaoxing 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 Xiaoxing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxing Wang more than expected).
Fields of papers citing papers by Xiaoxing Wang
This network shows the impact of papers produced by Xiaoxing 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 Xiaoxing Wang. The network helps show where Xiaoxing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoxing Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | KRAS and YAP1 Converge to Regulate EMT and Tumor Survival Hit paper breakdown → | 2014 | 573 |
| 2 | 2011 | 311 | |
| 3 | 2013 | 270 | |
| 4 | 2011 | 140 | |
| 5 | 2011 | 110 | |
| 6 | 2009 | 107 | |
| 7 | 2008 | 95 | |
| 8 | 2013 | 88 | |
| 9 | 2007 | 81 | |
| 10 | 2017 | 75 | |
| 11 | 2012 | 52 | |
| 12 | 2011 | 50 | |
| 13 | 2006 | 49 | |
| 14 | 2013 | 49 | |
| 15 | 2013 | 49 | |
| 16 | 2008 | 48 | |
| 17 | 2006 | 41 | |
| 18 | 2014 | 40 | |
| 19 | 2005 | 40 | |
| 20 | 2023 | 38 |
About Xiaoxing Wang
Xiaoxing Wang is a scholar working on Molecular Biology, Epidemiology, Immunology, Oncology and Cell Biology, having authored 109 papers that have together received 3.0k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (10 papers), Transplantation: Methods and Outcomes (8 papers), Renal Transplantation Outcomes and Treatments (8 papers), Extracellular vesicles in disease (8 papers), Viral Infections and Immunology Research (7 papers), Traditional Chinese Medicine Analysis (7 papers), HIV Research and Treatment (6 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). The work is most often cited by research in Cell Biology (666 citations), Cancer Research (368 citations), Molecular Biology (1.5k citations), Oncology (565 citations) and Virology (76 citations). Xiaoxing Wang has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include William C. Hahn, Joseph Rosenbluh, Wei Dai, David E. Root, Zhuowei Hu, Thomas M. Roberts, Wen Xue, Diane D. Shao, Elsa Krall and Tyler Jacks. Their work appears in journals such as The Journal of Clinical Pharmacology, Cell Cycle, Acta Pharmacologica Sinica, Journal of Virology and Cell.
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.