Xiao-Bing Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Cancer Genomics and Diagnostics 6
- Rheumatology 11
- GDF15 and Related Biomarkers 9
- Co-authors
- Jikun Huang (3 shared papers)Futoshi Yamauchi (2 shared papers)Kit Sang Lam (4 shared papers)Quanhong Liu (13 shared papers)Zhaogang Yang (11 shared papers)Pan Wang (13 shared papers)Jan Mařı́k (2 shared papers)Keijiro Otsuka (1 shared paper)
- Journals
- Oncotarget (3 papers)Ultrasonics Sonochemistry (3 papers)Frontiers in Pharmacology (3 papers)Signal Transduction and Targeted Therapy (3 papers)Journal of Controlled Release (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiao-Bing Wang
146 papers receiving 4.0k citations
Xiao-Bing Wang's Hit Papers
Peers
Comparison fields: 5 of 164
- Cancer Research 353
- General Agricultural and Biological Sciences 218
- Rheumatology 268
- Oncology 459
- Molecular Biology 1.2k
Countries citing papers authored by Xiao-Bing Wang
This map shows the geographic impact of Xiao-Bing 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 Xiao-Bing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao-Bing Wang more than expected).
Fields of papers citing papers by Xiao-Bing Wang
This network shows the impact of papers produced by Xiao-Bing 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 Xiao-Bing Wang. The network helps show where Xiao-Bing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao-Bing 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 218 | |
| 2 | Allogeneic CD19-targeted CAR-T therapy in patients with severe myositis and systemic sclerosis Hit paper breakdown → | 2024 | 206 |
| 3 | 2016 | 191 | |
| 4 | 2020 | 185 | |
| 5 | 2016 | 162 | |
| 6 | 2016 | 143 | |
| 7 | 2021 | 132 | |
| 8 | 2018 | 124 | |
| 9 | 2021 | 103 | |
| 10 | 2014 | 95 | |
| 11 | 2017 | 88 | |
| 12 | 1990 | 86 | |
| 13 | 2017 | 79 | |
| 14 | 2021 | 79 | |
| 15 | 2020 | 73 | |
| 16 | 2023 | 67 | |
| 17 | 2013 | 59 | |
| 18 | 2012 | 58 | |
| 19 | 2016 | 53 | |
| 20 | 2017 | 47 |
About Xiao-Bing Wang
Xiao-Bing Wang is a scholar working on Cancer Research, Rheumatology, Molecular Biology, Immunology and Soil Science, having authored 152 papers that have together received 4.1k indexed citations. Recurring topics across this work include GDF15 and Related Biomarkers (9 papers), Land Rights and Reforms (7 papers), Cancer Genomics and Diagnostics (6 papers), Advanced Image Processing Techniques (6 papers), Nanoplatforms for cancer theranostics (6 papers), Photodynamic Therapy Research Studies (5 papers), Ultrasound and Hyperthermia Applications (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (353 citations), General Agricultural and Biological Sciences (218 citations), Rheumatology (268 citations), Oncology (459 citations) and Molecular Biology (1.2k citations). Xiao-Bing Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jikun Huang, Futoshi Yamauchi, Kit Sang Lam, Quanhong Liu, Zhaogang Yang, Pan Wang, Jan Mařı́k, Keijiro Otsuka, Peng Li and Yoshikazu Takada. Their work appears in journals such as Oncotarget, Ultrasonics Sonochemistry, Frontiers in Pharmacology, Signal Transduction and Targeted Therapy and Journal of Controlled Release.
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.