Bing Du
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Immunology 32
- Immune Cell Function and Interaction 11
- Immune cells in cancer 8
- Immune Response and Inflammation 6
- interferon and immune responses 5
- Co-authors
- Min Qian (44 shared papers)Mingyao Liu (42 shared papers)Hua Ren (23 shared papers)Juliang Qin (21 shared papers)Honghui Han (10 shared papers)Binghe Tan (16 shared papers)Ziqiang Wang (3 shared papers)Guanhua Xue (13 shared papers)
- Journals
- The Journal of Immunology (5 papers)Microbiology Spectrum (5 papers)Science China Life Sciences (3 papers)Scientific Reports (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bing Du
94 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Physiology 296
- Infectious Diseases 483
- Immunology 548
- Molecular Biology 1.3k
- Oncology 458
Countries citing papers authored by Bing Du
This map shows the geographic impact of Bing Du'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 Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Du more than expected).
Fields of papers citing papers by Bing Du
This network shows the impact of papers produced by Bing Du. 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 Du. The network helps show where Bing Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Du, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 375 | |
| 2 | 2018 | 132 | |
| 3 | 2012 | 110 | |
| 4 | 2020 | 83 | |
| 5 | 2011 | 81 | |
| 6 | 2011 | 79 | |
| 7 | 2013 | 76 | |
| 8 | 2008 | 73 | |
| 9 | 2010 | 71 | |
| 10 | 2020 | 68 | |
| 11 | 2010 | 65 | |
| 12 | 2017 | 64 | |
| 13 | 2020 | 63 | |
| 14 | 2010 | 58 | |
| 15 | 2014 | 56 | |
| 16 | 2008 | 53 | |
| 17 | 2014 | 51 | |
| 18 | 2022 | 45 | |
| 19 | 2015 | 45 | |
| 20 | CAR-T therapy in solid tumors Hit paper breakdown → | 2025 | 44 |
About Bing Du
Bing Du is a scholar working on Molecular Biology, Immunology, Oncology, Physiology and Cancer Research, having authored 100 papers that have together received 2.8k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (15 papers), CAR-T cell therapy research (11 papers), Immune Cell Function and Interaction (11 papers), Immune cells in cancer (8 papers), Immune Response and Inflammation (6 papers), Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and interferon and immune responses (5 papers). The work is most often cited by research in Physiology (296 citations), Infectious Diseases (483 citations), Immunology (548 citations), Molecular Biology (1.3k citations) and Oncology (458 citations). Bing Du has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Min Qian, Mingyao Liu, Hua Ren, Juliang Qin, Honghui Han, Binghe Tan, Ziqiang Wang, Guanhua Xue, Jing Yuan and Chao Yan. Their work appears in journals such as The Journal of Immunology, Microbiology Spectrum, Science China Life Sciences, Scientific Reports and Frontiers in Immunology.
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.