Bing Sun
Impact in
- Immunology top 0.5%
- interferon and immune responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
Papers in
- Immunology 88
- interferon and immune responses 31
- Immune Cell Function and Interaction 28
- Immune Response and Inflammation 22
- T-cell and B-cell Immunology 16
- Immunotherapy and Immune Responses 15
- Co-authors
- Lynn Pulliam (24 shared papers)Hans Rempel (16 shared papers)Yaguang Zhang (17 shared papers)Kai Wang (8 shared papers)Yuan Zhang (6 shared papers)Wangpeng Gu (9 shared papers)Ke Xu (19 shared papers)Wolfgang Schwarz (6 shared papers)
- Journals
- The Journal of Immunology (14 papers)Cellular and Molecular Immunology (8 papers)PLoS ONE (7 papers)Biochemical and Biophysical Research Communications (7 papers)Cell Research (7 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Bing Sun
229 papers receiving 9.6k citations
Peers
Comparison fields: 5 of 175
- Immunology 2.9k
- Infectious Diseases 1.8k
- Virology 457
- Biological Psychiatry 195
- Molecular Biology 3.5k
Countries citing papers authored by Bing Sun
This map shows the geographic impact of Bing Sun'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 Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Sun more than expected).
Fields of papers citing papers by Bing Sun
This network shows the impact of papers produced by Bing Sun. 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 Sun. The network helps show where Bing Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Sun, 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 237 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 333 | |
| 2 | 2020 | 330 | |
| 3 | 2006 | 227 | |
| 4 | 2013 | 223 | |
| 5 | 2008 | 217 | |
| 6 | 2011 | 206 | |
| 7 | 2019 | 189 | |
| 8 | 2014 | 182 | |
| 9 | 2014 | 182 | |
| 10 | 2017 | 166 | |
| 11 | 2015 | 161 | |
| 12 | 2011 | 156 | |
| 13 | 2016 | 150 | |
| 14 | 2012 | 142 | |
| 15 | 2010 | 140 | |
| 16 | 2021 | 138 | |
| 17 | 2011 | 131 | |
| 18 | 2008 | 128 | |
| 19 | 2010 | 114 | |
| 20 | 2020 | 105 |
About Bing Sun
Bing Sun is a scholar working on Immunology, Molecular Biology, Epidemiology, Infectious Diseases and Virology, having authored 237 papers that have together received 9.7k indexed citations. Recurring topics across this work include interferon and immune responses (31 papers), Immune Cell Function and Interaction (28 papers), Influenza Virus Research Studies (25 papers), Immune Response and Inflammation (22 papers), HIV Research and Treatment (18 papers), T-cell and B-cell Immunology (16 papers), SARS-CoV-2 and COVID-19 Research (16 papers) and Immunotherapy and Immune Responses (15 papers). The work is most often cited by research in Immunology (2.9k citations), Infectious Diseases (1.8k citations), Virology (457 citations), Biological Psychiatry (195 citations) and Molecular Biology (3.5k citations). Bing Sun has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Lynn Pulliam, Hans Rempel, Yaguang Zhang, Kai Wang, Yuan Zhang, Wangpeng Gu, Ke Xu, Wolfgang Schwarz, Shiqi Xie and Wenjing Yu. Their work appears in journals such as The Journal of Immunology, Cellular and Molecular Immunology, PLoS ONE, Biochemical and Biophysical Research Communications and Cell Research.
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.