Fangxia Wang
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
-
- CAR-T cell therapy research
Papers in
- Hematology 16
- Acute Myeloid Leukemia Research 10
- Multiple Myeloma Research and Treatments 6
- Oncology 11
- CAR-T cell therapy research 7
- Neutropenia and Cancer Infections 3
- Co-authors
- Yinxia Chen (11 shared papers)Wanhong Zhao (12 shared papers)Aili He (9 shared papers)Xing-Mei Cao (9 shared papers)Liufang Gu (8 shared papers)Aili He (17 shared papers)Jie Liu (7 shared papers)Bo Lei (9 shared papers)
- Journals
- match Communications in Mathematical and in Computer Chemistry (4 papers)Sustainability (2 papers)Journal of Clinical Oncology (2 papers)Cancer Letters (1 paper)Blood (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Fangxia Wang
37 papers receiving 421 citations
Peers
Comparison fields: 5 of 64
- Hematology 139
- Oncology 188
- Immunology 76
- Geometry and Topology 23
- Molecular Biology 149
Countries citing papers authored by Fangxia Wang
This map shows the geographic impact of Fangxia 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 Fangxia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangxia Wang more than expected).
Fields of papers citing papers by Fangxia Wang
This network shows the impact of papers produced by Fangxia 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 Fangxia Wang. The network helps show where Fangxia Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangxia 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2017 | 63 | |
| 3 | 2017 | 54 | |
| 4 | 2007 | 26 | |
| 5 | 2020 | 23 | |
| 6 | 2010 | 21 | |
| 7 | 2019 | 20 | |
| 8 | 2020 | 17 | |
| 9 | 2022 | 12 | |
| 10 | 2023 | 9 | |
| 11 | 2025 | 9 | |
| 12 | 2020 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2025 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2016 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 5 | |
| 19 | Busulfan plus fludarabine compared with busulfan plus cyclophosphamide as a conditioning regimen prior to hematopoietic stem cell transplantation in patients with hematologic neoplasms: a meta-analysis. | 2015 | 5 |
| 20 | 2024 | 4 |
About Fangxia Wang
Fangxia Wang is a scholar working on Hematology, Oncology, Molecular Biology, Geometry and Topology and Organic Chemistry, having authored 40 papers that have together received 427 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (10 papers), CAR-T cell therapy research (7 papers), Graph theory and applications (6 papers), Multiple Myeloma Research and Treatments (6 papers), Neutropenia and Cancer Infections (3 papers), Horticultural and Viticultural Research (2 papers), Plant Physiology and Cultivation Studies (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Hematology (139 citations), Oncology (188 citations), Immunology (76 citations), Geometry and Topology (23 citations) and Molecular Biology (149 citations). Fangxia Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yinxia Chen, Wanhong Zhao, Aili He, Xing-Mei Cao, Liufang Gu, Aili He, Jie Liu, Bo Lei, Wanggang Zhang and Pengyu Zhang. Their work appears in journals such as match Communications in Mathematical and in Computer Chemistry, Sustainability, Journal of Clinical Oncology, Cancer Letters and Blood.
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.