Fuxu Wang
Impact in
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- Advanced Glycation End Products research
Papers in
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- Cell death mechanisms and regulation 4
- Ubiquitin and proteasome pathways 3
- PI3K/AKT/mTOR signaling in cancer 3
- Hematology 10
- Multiple Myeloma Research and Treatments 4
- Hematopoietic Stem Cell Transplantation 3
- Co-authors
- Huijun Duan (3 shared papers)Yanping Cao (2 shared papers)Qingjuan Liu (2 shared papers)Hang Li (2 shared papers)Tianyi Zang (4 shared papers)Yadong Wang (1 shared paper)Jun Hao (1 shared paper)Zelin Liu (2 shared papers)
- Journals
- Blood (4 papers)Stem Cell Research & Therapy (2 papers)Journal of Inflammation Research (2 papers)Cardiovascular Diabetology (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Fuxu Wang
50 papers receiving 513 citations
Peers
Comparison fields: 5 of 86
- Hematology 56
- Clinical Biochemistry 30
- Neurology 32
- Genetics 40
- Molecular Biology 254
Countries citing papers authored by Fuxu Wang
This map shows the geographic impact of Fuxu 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 Fuxu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuxu Wang more than expected).
Fields of papers citing papers by Fuxu Wang
This network shows the impact of papers produced by Fuxu 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 Fuxu Wang. The network helps show where Fuxu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fuxu 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 62 | |
| 2 | 2011 | 59 | |
| 3 | 2011 | 55 | |
| 4 | 2021 | 40 | |
| 5 | Mutation analysis of SHIP gene in acute leukemia. | 2004 | 39 |
| 6 | 2018 | 38 | |
| 7 | 2014 | 35 | |
| 8 | 2022 | 21 | |
| 9 | 2019 | 21 | |
| 10 | 2022 | 13 | |
| 11 | 2007 | 12 | |
| 12 | 2018 | 10 | |
| 13 | 2017 | 9 | |
| 14 | 2025 | 9 | |
| 15 | 2025 | 8 | |
| 16 | 2012 | 7 | |
| 17 | 2018 | 6 | |
| 18 | 2021 | 5 | |
| 19 | [Mutation analysis of SHIP gene in acute leukemia]. | 2004 | 5 |
| 20 | [In vitro effects of mevastatin on the proliferation and apoptosis in human multiple myeloma cell line U266]. | 2004 | 5 |
About Fuxu Wang
Fuxu Wang is a scholar working on Molecular Biology, Hematology, Immunology, Oncology and Pathology and Forensic Medicine, having authored 55 papers that have together received 520 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (4 papers), Cell death mechanisms and regulation (4 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (4 papers), Ubiquitin and proteasome pathways (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Hematology (56 citations), Clinical Biochemistry (30 citations), Neurology (32 citations), Genetics (40 citations) and Molecular Biology (254 citations). Fuxu Wang has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Huijun Duan, Yanping Cao, Qingjuan Liu, Hang Li, Tianyi Zang, Yadong Wang, Jun Hao, Zelin Liu, Wei Liu and Yonghong Shi. Their work appears in journals such as Blood, Stem Cell Research & Therapy, Journal of Inflammation Research, Cardiovascular Diabetology and Scientific Reports.
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.