Bin Wu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Oncology top 10%
- Colorectal Cancer Surgical Treatments
Papers in
- Co-authors
- Huizhong Qiu (29 shared papers)Yi Xiao (26 shared papers)Lai Xu (20 shared papers)Yanyu Chen (4 shared papers)Jiaolin Zhou (14 shared papers)Wei Ge (2 shared papers)Junyang Lu (8 shared papers)Guole Lin (10 shared papers)
- Journals
- Annals of Translational Medicine (4 papers)International Journal of Colorectal Disease (3 papers)World Journal of Gastroenterology (3 papers)PLoS ONE (2 papers)Optics & Laser Technology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bin Wu
89 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 282
- Oncology 326
- Molecular Biology 398
- Pathology and Forensic Medicine 68
- Surgery 163
Countries citing papers authored by Bin Wu
This map shows the geographic impact of Bin Wu'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 Bin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Wu more than expected).
Fields of papers citing papers by Bin Wu
This network shows the impact of papers produced by Bin Wu. 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 Bin Wu. The network helps show where Bin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Wu, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 153 | |
| 2 | 2020 | 103 | |
| 3 | 2016 | 99 | |
| 4 | 2010 | 61 | |
| 5 | 2019 | 60 | |
| 6 | 2011 | 46 | |
| 7 | 2013 | 41 | |
| 8 | 2015 | 41 | |
| 9 | 2016 | 38 | |
| 10 | 2009 | 38 | |
| 11 | 2018 | 36 | |
| 12 | 2022 | 29 | |
| 13 | 2022 | 27 | |
| 14 | 2022 | 27 | |
| 15 | 2020 | 25 | |
| 16 | 2012 | 24 | |
| 17 | 2021 | 24 | |
| 18 | 2013 | 22 | |
| 19 | 2017 | 18 | |
| 20 | 2018 | 16 |
About Bin Wu
Bin Wu is a scholar working on Oncology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 102 papers that have together received 1.2k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (16 papers), Inflammatory Bowel Disease (6 papers), Cancer Genomics and Diagnostics (4 papers), RNA modifications and cancer (4 papers), Face and Expression Recognition (3 papers), Colorectal and Anal Carcinomas (3 papers), Ferroptosis and cancer prognosis (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Cancer Research (282 citations), Oncology (326 citations), Molecular Biology (398 citations), Pathology and Forensic Medicine (68 citations) and Surgery (163 citations). Bin Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huizhong Qiu, Yi Xiao, Lai Xu, Yanyu Chen, Jiaolin Zhou, Wei Ge, Junyang Lu, Guole Lin, Min‐Er Zhong and Yue Li. Their work appears in journals such as Annals of Translational Medicine, International Journal of Colorectal Disease, World Journal of Gastroenterology, PLoS ONE and Optics & Laser Technology.
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.