Xiaobing Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
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- RNA modifications and cancer 5
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- Nanoplatforms for cancer theranostics 6
- Ultrasound and Hyperthermia Applications 5
- Co-authors
- Jikun Huang (2 shared papers)Futoshi Yamauchi (2 shared papers)Quanhong Liu (13 shared papers)Kit S. Lam (4 shared papers)Zhaogang Yang (12 shared papers)Pan Wang (13 shared papers)Jan Mařı́k (2 shared papers)Keijiro Otsuka (1 shared paper)
- Journals
- Scientific Reports (3 papers)Frontiers in Pharmacology (3 papers)Oncotarget (3 papers)Ultrasonics Sonochemistry (3 papers)China Economic Review (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaobing Wang
140 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 159
- Cancer Research 357
- General Agricultural and Biological Sciences 212
- Rheumatology 230
- Molecular Biology 1.1k
- Soil Science 157
Countries citing papers authored by Xiaobing Wang
This map shows the geographic impact of Xiaobing 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 Xiaobing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobing Wang more than expected).
Fields of papers citing papers by Xiaobing Wang
This network shows the impact of papers produced by Xiaobing 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 Xiaobing Wang. The network helps show where Xiaobing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobing 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 145 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 213 | |
| 2 | 2016 | 189 | |
| 3 | 2020 | 173 | |
| 4 | 2016 | 157 | |
| 5 | 2016 | 141 | |
| 6 | 2021 | 131 | |
| 7 | 2018 | 121 | |
| 8 | 2021 | 98 | |
| 9 | 2014 | 91 | |
| 10 | 2017 | 89 | |
| 11 | 1990 | 86 | |
| 12 | 2017 | 76 | |
| 13 | 2020 | 71 | |
| 14 | 2013 | 58 | |
| 15 | 2012 | 58 | |
| 16 | [Expression and prognostic value of transcriptional factor sp1 in breast cancer]. | 2007 | 50 |
| 17 | 2016 | 49 | |
| 18 | 2010 | 46 | |
| 19 | 2003 | 45 | |
| 20 | 2017 | 45 |
About Xiaobing Wang
Xiaobing Wang is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Oncology and Rheumatology, having authored 145 papers that have together received 3.5k indexed citations. Recurring topics across this work include GDF15 and Related Biomarkers (9 papers), Land Rights and Reforms (7 papers), Nanoplatforms for cancer theranostics (6 papers), Photodynamic Therapy Research Studies (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), RNA modifications and cancer (5 papers), Ultrasound and Hyperthermia Applications (5 papers) and Image Processing Techniques and Applications (4 papers). The work is most often cited by research in Cancer Research (357 citations), General Agricultural and Biological Sciences (212 citations), Rheumatology (230 citations), Molecular Biology (1.1k citations) and Soil Science (157 citations). Xiaobing Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jikun Huang, Futoshi Yamauchi, Quanhong Liu, Kit S. Lam, Zhaogang Yang, Pan Wang, Jan Mařı́k, Keijiro Otsuka, Ruiwu Liu and Peng Li. Their work appears in journals such as Scientific Reports, Frontiers in Pharmacology, Oncotarget, Ultrasonics Sonochemistry and China Economic Review.
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.