Fusheng Wan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cell Biology top 10%
- Aldose Reductase and Taurine
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Ubiquitin and proteasome pathways 3
- Circular RNAs in diseases 2
- Wnt/β-catenin signaling in development and cancer 2
- Cell Biology 13
- Aldose Reductase and Taurine 7
- Hippo pathway signaling and YAP/TAZ 5
- Co-authors
- Shuo Tu (8 shared papers)Xiali Zhang (4 shared papers)Hui‐Fang Wan (8 shared papers)Lina Sun (1 shared paper)Chuanming Xu (4 shared papers)Zhenhua Dai (1 shared paper)Weifeng Zhu (8 shared papers)Wan Ni (1 shared paper)
- Journals
- Acta Biochimica et Biophysica Sinica (3 papers)International Journal of Molecular Medicine (2 papers)PeerJ (1 paper)PLoS ONE (1 paper)Cardiology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Fusheng Wan
27 papers receiving 621 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 172
- Cell Biology 188
- Immunology 113
- Molecular Biology 289
- Biochemistry 21
Countries citing papers authored by Fusheng Wan
This map shows the geographic impact of Fusheng Wan'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 Fusheng Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fusheng Wan more than expected).
Fields of papers citing papers by Fusheng Wan
This network shows the impact of papers produced by Fusheng Wan. 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 Fusheng Wan. The network helps show where Fusheng Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fusheng Wan, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 102 | |
| 2 | 2014 | 69 | |
| 3 | 2019 | 59 | |
| 4 | 2014 | 55 | |
| 5 | 2018 | 55 | |
| 6 | 2013 | 45 | |
| 7 | 2014 | 41 | |
| 8 | 2015 | 26 | |
| 9 | 2018 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2012 | 18 | |
| 12 | 2018 | 17 | |
| 13 | 2018 | 13 | |
| 14 | 2013 | 13 | |
| 15 | 2013 | 10 | |
| 16 | 2015 | 10 | |
| 17 | 2012 | 10 | |
| 18 | 2011 | 9 | |
| 19 | 2019 | 6 | |
| 20 | 2017 | 5 |
About Fusheng Wan
Fusheng Wan is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Oncology and Immunology, having authored 27 papers that have together received 629 indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (7 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related Molecular Pathways (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (172 citations), Cell Biology (188 citations), Immunology (113 citations), Molecular Biology (289 citations) and Biochemistry (21 citations). Fusheng Wan has collaborated with scholars based in China and United States. Frequent co-authors include Shuo Tu, Xiali Zhang, Hui‐Fang Wan, Lina Sun, Chuanming Xu, Zhenhua Dai, Weifeng Zhu, Wan Ni, Hehua Dai and Chunju Liu. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, International Journal of Molecular Medicine, PeerJ, PLoS ONE and Cardiology.
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.