Bing Wu
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Psoriasis: Treatment and Pathogenesis
- Immune cells in cancer
Papers in
- Immunology 26
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 11
- Immunotherapy and Immune Responses 11
- Immune Response and Inflammation 5
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- Epigenetics and DNA Methylation 4
- Co-authors
- Yisong Y. Wan (10 shared papers)Zengli Guo (5 shared papers)Bin Wang (8 shared papers)Jenny P.‐Y. Ting (2 shared papers)Xiaojiang Xu (4 shared papers)Song Zhang (3 shared papers)Shuang Geng (6 shared papers)Gang Wang (3 shared papers)
- Journals
- Human Vaccines & Immunotherapeutics (6 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)Immunity (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Bing Wu
50 papers receiving 852 citations
Peers
Comparison fields: 5 of 94
- Immunology 400
- Biological Psychiatry 18
- Cancer Research 106
- Oncology 155
- Neurology 44
Countries citing papers authored by Bing Wu
This map shows the geographic impact of Bing 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 Bing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Wu more than expected).
Fields of papers citing papers by Bing Wu
This network shows the impact of papers produced by Bing 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 Bing Wu. The network helps show where Bing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 117 | |
| 2 | 2017 | 82 | |
| 3 | 2022 | 76 | |
| 4 | 2020 | 76 | |
| 5 | 2021 | 71 | |
| 6 | 2013 | 38 | |
| 7 | 2018 | 34 | |
| 8 | 2016 | 23 | |
| 9 | 2016 | 23 | |
| 10 | 2016 | 21 | |
| 11 | 2021 | 18 | |
| 12 | 2024 | 17 | |
| 13 | 2020 | 16 | |
| 14 | 2021 | 14 | |
| 15 | 2011 | 13 | |
| 16 | 2018 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2015 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2013 | 12 |
About Bing Wu
Bing Wu is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Cancer Research, having authored 59 papers that have together received 861 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (11 papers), Immunotherapy and Immune Responses (11 papers), Immune Response and Inflammation (5 papers), MicroRNA in disease regulation (4 papers), Epigenetics and DNA Methylation (4 papers), Influenza Virus Research Studies (4 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Immunology (400 citations), Biological Psychiatry (18 citations), Cancer Research (106 citations), Oncology (155 citations) and Neurology (44 citations). Bing Wu has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Yisong Y. Wan, Zengli Guo, Bin Wang, Jenny P.‐Y. Ting, Xiaojiang Xu, Song Zhang, Shuang Geng, Gang Wang, Qiang Zou and Junnian Zheng. Their work appears in journals such as Human Vaccines & Immunotherapeutics, PLoS ONE, Scientific Reports, Immunity and Journal of Clinical Investigation.
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.