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 7
- Epidemiology 18
- Herpesvirus Infections and Treatments 5
- 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)Federica Piccioni (1 shared paper)Yaara Zwang (1 shared paper)
- Journals
- The Journal of Clinical Pharmacology (5 papers)Cell Cycle (4 papers)Journal of Virology (3 papers)Acta Pharmacologica Sinica (3 papers)The Journal of Immunology (2 papers)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Xiaoxing Wang
99 papers receiving 3.0k citations
Xiaoxing Wang's Hit Papers
Peers
Comparison fields: 5 of 132
- Cell Biology 648
- Cancer Research 330
- Molecular Biology 1.4k
- Oncology 506
- Virology 71
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 111 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 | 579 |
| 2 | 2011 | 315 | |
| 3 | 2013 | 276 | |
| 4 | 2011 | 140 | |
| 5 | 2011 | 110 | |
| 6 | 2009 | 108 | |
| 7 | 2008 | 95 | |
| 8 | 2013 | 88 | |
| 9 | 2007 | 81 | |
| 10 | 2017 | 76 | |
| 11 | 2012 | 52 | |
| 12 | 2011 | 50 | |
| 13 | 2008 | 49 | |
| 14 | 2006 | 49 | |
| 15 | 2013 | 49 | |
| 16 | 2013 | 49 | |
| 17 | 2023 | 43 | |
| 18 | 2006 | 41 | |
| 19 | 2014 | 40 | |
| 20 | 2005 | 39 |
About Xiaoxing Wang
Xiaoxing Wang is a scholar working on Molecular Biology, Epidemiology, Oncology, Cell Biology and Surgery, having authored 111 papers that have together received 3.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (10 papers), Transplantation: Methods and Outcomes (7 papers), Extracellular vesicles in disease (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Traditional Chinese Medicine Analysis (6 papers), HIV Research and Treatment (6 papers), Renal Transplantation Outcomes and Treatments (6 papers) and Herpesvirus Infections and Treatments (5 papers). The work is most often cited by research in Cell Biology (648 citations), Cancer Research (330 citations), Molecular Biology (1.4k citations), Oncology (506 citations) and Virology (71 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, Federica Piccioni, Yaara Zwang, Arjun Bhutkar and Diane D. Shao. Their work appears in journals such as The Journal of Clinical Pharmacology, Cell Cycle, Journal of Virology, Acta Pharmacologica Sinica and The Journal of Immunology.
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.