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 4
- Receptor Mechanisms and Signaling 4
- Immunology 29
- Immune Cell Function and Interaction 10
- Immune cells in cancer 7
- Immune Response and Inflammation 6
- interferon and immune responses 5
- Co-authors
- Min Qian (43 shared papers)Mingyao Liu (43 shared papers)Hua Ren (24 shared papers)Juliang Qin (22 shared papers)Honghui Han (10 shared papers)Binghe Tan (17 shared papers)Jing Yuan (14 shared papers)Guanhua Xue (14 shared papers)
- Journals
- The Journal of Immunology (5 papers)Microbiology Spectrum (5 papers)Blood (3 papers)Science China Life Sciences (3 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bing Du
96 papers receiving 2.9k citations
Bing Du's Hit Papers
Peers
Comparison fields: 5 of 131
- Physiology 299
- Infectious Diseases 443
- Immunology 504
- Oncology 443
- Molecular Biology 1.2k
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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rapid and visual detection of 2019 novel coronavirus (SARS-CoV-2) by a reverse transcription loop-mediated isothermal amplification assay Hit paper breakdown → | 2020 | 378 |
| 2 | 2018 | 133 | |
| 3 | 2012 | 111 | |
| 4 | 2020 | 83 | |
| 5 | 2011 | 81 | |
| 6 | 2011 | 79 | |
| 7 | 2013 | 78 | |
| 8 | 2008 | 73 | |
| 9 | 2020 | 72 | |
| 10 | 2010 | 71 | |
| 11 | 2020 | 68 | |
| 12 | CAR-T therapy in solid tumors Hit paper breakdown → | 2025 | 68 |
| 13 | 2010 | 67 | |
| 14 | 2017 | 65 | |
| 15 | 2010 | 58 | |
| 16 | 2014 | 56 | |
| 17 | 2008 | 53 | |
| 18 | 2014 | 51 | |
| 19 | 2022 | 48 | |
| 20 | 2023 | 48 |
About Bing Du
Bing Du is a scholar working on Molecular Biology, Immunology, Oncology, Physiology and Epidemiology, having authored 105 papers that have together received 2.9k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (14 papers), CAR-T cell therapy research (13 papers), Immune Cell Function and Interaction (10 papers), Immune cells in cancer (7 papers), Immune Response and Inflammation (6 papers), interferon and immune responses (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Physiology (299 citations), Infectious Diseases (443 citations), Immunology (504 citations), Oncology (443 citations) and Molecular Biology (1.2k 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, Jing Yuan, Guanhua Xue, Chao Yan and Ziqiang Wang. Their work appears in journals such as The Journal of Immunology, Microbiology Spectrum, Blood, Science China Life Sciences and PLoS ONE.
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.