Bing Wang
Impact in
- Oncology top 2%
- PARP inhibition in cancer therapy
- Molecular Biology top 5%
- DNA Repair Mechanisms
Papers in
- Oncology 55
- Cancer Immunotherapy and Biomarkers 7
- PARP inhibition in cancer therapy 7
- Cancer-related Molecular Pathways 7
- Drug Transport and Resistance Mechanisms 6
- CAR-T cell therapy research 5
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- DNA Repair Mechanisms 8
- Co-authors
- Yuqiao Shen (6 shared papers)Jia‐Long Wen (9 shared papers)Run‐Cang Sun (10 shared papers)Mika Aoyagi-Scharber (3 shared papers)Han-Min Wang (7 shared papers)Leonard Post (4 shared papers)Shyam Biswal (1 shared paper)Sylvain Doré (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (4 papers)ACS Sustainable Chemistry & Engineering (3 papers)Cellular and Molecular Immunology (3 papers)Radiation Research (2 papers)Biochemistry (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bing Wang
129 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 167
- Oncology 1.1k
- Molecular Biology 1.6k
- Structural Biology 25
- Cancer Research 254
- Chemical Health and Safety 11
Countries citing papers authored by Bing Wang
This map shows the geographic impact of 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 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 Bing Wang more than expected).
Fields of papers citing papers by Bing Wang
This network shows the impact of papers produced by 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 Bing Wang. The network helps show where Bing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside 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 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 378 | |
| 2 | 2015 | 166 | |
| 3 | 2011 | 162 | |
| 4 | 2017 | 148 | |
| 5 | 2015 | 139 | |
| 6 | 2017 | 98 | |
| 7 | 2016 | 94 | |
| 8 | 2017 | 92 | |
| 9 | 2006 | 81 | |
| 10 | 2010 | 76 | |
| 11 | 2016 | 74 | |
| 12 | 2018 | 62 | |
| 13 | 2022 | 59 | |
| 14 | 2021 | 59 | |
| 15 | 1998 | 57 | |
| 16 | 2011 | 57 | |
| 17 | 2017 | 54 | |
| 18 | 2019 | 53 | |
| 19 | 2016 | 53 | |
| 20 | 2019 | 51 |
About Bing Wang
Bing Wang is a scholar working on Oncology, Molecular Biology, Immunology, Biomedical Engineering and Cell Biology, having authored 137 papers that have together received 3.6k indexed citations. Recurring topics across this work include Lignin and Wood Chemistry (12 papers), DNA Repair Mechanisms (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), PARP inhibition in cancer therapy (7 papers), Biofuel production and bioconversion (7 papers), Cancer-related Molecular Pathways (7 papers), Drug Transport and Resistance Mechanisms (6 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Oncology (1.1k citations), Molecular Biology (1.6k citations), Structural Biology (25 citations), Cancer Research (254 citations) and Chemical Health and Safety (11 citations). Bing Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yuqiao Shen, Jia‐Long Wen, Run‐Cang Sun, Mika Aoyagi-Scharber, Han-Min Wang, Leonard Post, Shyam Biswal, Sylvain Doré, Wangsen Cao and Ying Feng. Their work appears in journals such as International Journal of Biological Macromolecules, ACS Sustainable Chemistry & Engineering, Cellular and Molecular Immunology, Radiation Research and Biochemistry.
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.