Bin Qu
Impact in
- Sensory Systems top 2%
- Ion Channels and Receptors
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Immunology 29
- Immune Cell Function and Interaction 14
- Immunotherapy and Immune Responses 12
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- Advanced biosensing and bioanalysis techniques 12
- Co-authors
- Markus Hoth (27 shared papers)Eva C. Schwarz (15 shared papers)Gang Pei (3 shared papers)Yue Sun (1 shared paper)Yalan Wu (1 shared paper)Yaya Wang (1 shared paper)Bing Luan (1 shared paper)Hua Gao (1 shared paper)
- Journals
- European Journal of Immunology (6 papers)Biosensors and Bioelectronics (4 papers)Frontiers in Immunology (3 papers)Scientific Reports (2 papers)Arabian Journal of Chemistry (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Bin Qu
158 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 157
- Sensory Systems 168
- Immunology 449
- Molecular Biology 1.4k
- Physiology 76
- Cellular and Molecular Neuroscience 282
Countries citing papers authored by Bin Qu
This map shows the geographic impact of Bin Qu'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 Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Qu more than expected).
Fields of papers citing papers by Bin Qu
This network shows the impact of papers produced by Bin Qu. 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 Qu. The network helps show where Bin Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Qu, 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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 279 | |
| 2 | 2005 | 276 | |
| 3 | 2023 | 125 | |
| 4 | 2012 | 121 | |
| 5 | 2005 | 88 | |
| 6 | 2019 | 88 | |
| 7 | 2012 | 86 | |
| 8 | 2001 | 80 | |
| 9 | 2017 | 79 | |
| 10 | 2012 | 67 | |
| 11 | 2017 | 62 | |
| 12 | 2011 | 61 | |
| 13 | 2015 | 59 | |
| 14 | 2014 | 52 | |
| 15 | 2010 | 49 | |
| 16 | 2020 | 48 | |
| 17 | 2011 | 47 | |
| 18 | 2017 | 40 | |
| 19 | 2011 | 40 | |
| 20 | 2014 | 40 |
About Bin Qu
Bin Qu is a scholar working on Immunology, Molecular Biology, Cell Biology, Immunology and Allergy and Oncology, having authored 164 papers that have together received 3.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), Advanced biosensing and bioanalysis techniques (12 papers), Immunotherapy and Immune Responses (12 papers), Cellular Mechanics and Interactions (8 papers), Biosensors and Analytical Detection (7 papers), Digital Radiography and Breast Imaging (7 papers), Cell Adhesion Molecules Research (7 papers) and Medical Imaging Techniques and Applications (6 papers). The work is most often cited by research in Sensory Systems (168 citations), Immunology (449 citations), Molecular Biology (1.4k citations), Physiology (76 citations) and Cellular and Molecular Neuroscience (282 citations). Bin Qu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Markus Hoth, Eva C. Schwarz, Gang Pei, Yue Sun, Yalan Wu, Yaya Wang, Bing Luan, Hua Gao, Renping Zhao and Barry B. Halliwell. Their work appears in journals such as European Journal of Immunology, Biosensors and Bioelectronics, Frontiers in Immunology, Scientific Reports and Arabian Journal of Chemistry.
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.