Bin Su
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 1%
- HIV/AIDS Research and Interventions
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS drug development and treatment
- COVID-19 Clinical Research Studies
Papers in
- Virology 78
- HIV Research and Treatment 77
-
- HIV/AIDS Research and Interventions 25
- HIV/AIDS drug development and treatment 25
- SARS-CoV-2 and COVID-19 Research 10
- Co-authors
- Hao Wu (53 shared papers)Christiane Moog (35 shared papers)Tong Zhang (29 shared papers)Xin Zhang (10 shared papers)Xiaodong Yang (4 shared papers)Taiyi Jiang (16 shared papers)Luzia Mayr (6 shared papers)Jianhua Hou (10 shared papers)
- Journals
- Frontiers in Immunology (23 papers)AIDS Research and Human Retroviruses (7 papers)BMC Infectious Diseases (6 papers)Journal of Medical Virology (6 papers)Scientific Reports (5 papers)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Bin Su
159 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 123
- Virology 880
- Infectious Diseases 1.1k
- Immunology 526
- Emergency Medicine 147
- Epidemiology 558
Countries citing papers authored by Bin Su
This map shows the geographic impact of Bin Su'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 Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Su more than expected).
Fields of papers citing papers by Bin Su
This network shows the impact of papers produced by Bin Su. 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 Su. The network helps show where Bin Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Su, 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 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 211 | |
| 2 | 2021 | 138 | |
| 3 | 2009 | 116 | |
| 4 | 2009 | 102 | |
| 5 | 2020 | 101 | |
| 6 | 2020 | 101 | |
| 7 | 2008 | 64 | |
| 8 | 2013 | 57 | |
| 9 | 2013 | 50 | |
| 10 | 2014 | 46 | |
| 11 | 2017 | 45 | |
| 12 | 2017 | 44 | |
| 13 | 2019 | 43 | |
| 14 | 2021 | 41 | |
| 15 | 2019 | 36 | |
| 16 | 2022 | 34 | |
| 17 | 2020 | 31 | |
| 18 | 2014 | 31 | |
| 19 | 2018 | 31 | |
| 20 | 2014 | 31 |
About Bin Su
Bin Su is a scholar working on Virology, Infectious Diseases, Immunology, Epidemiology and Molecular Biology, having authored 171 papers that have together received 2.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (77 papers), Immune Cell Function and Interaction (38 papers), HIV/AIDS Research and Interventions (25 papers), HIV/AIDS drug development and treatment (25 papers), T-cell and B-cell Immunology (13 papers), SARS-CoV-2 and COVID-19 Research (10 papers), HIV-related health complications and treatments (10 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). The work is most often cited by research in Virology (880 citations), Infectious Diseases (1.1k citations), Immunology (526 citations), Emergency Medicine (147 citations) and Epidemiology (558 citations). Bin Su has collaborated with scholars based in China, France and United States. Frequent co-authors include Hao Wu, Christiane Moog, Tong Zhang, Tong Zhang, Xin Zhang, Xiaodong Yang, Taiyi Jiang, Luzia Mayr, Jianhua Hou and Béatrice Labrosse. Their work appears in journals such as Frontiers in Immunology, AIDS Research and Human Retroviruses, BMC Infectious Diseases, Journal of Medical Virology and Scientific Reports.
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.