Bing He
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Immunology top 10%
- Immune Cell Function and Interaction
Papers in
-
- vaccines and immunoinformatics approaches 6
-
- COVID-19 Clinical Research Studies 9
- SARS-CoV-2 and COVID-19 Research 6
- Co-authors
- Lana X. Garmire (5 shared papers)Cédric Badowski (1 shared paper)Jian Shi (5 shared papers)Xinwen Wang (6 shared papers)Hao‐Jie Zhu (6 shared papers)Daniel M. Knowles (6 shared papers)Andrea Cerutti (7 shared papers)Weifeng Xu (4 shared papers)
- Journals
- RSC Advances (5 papers)International Journal of Molecular Sciences (4 papers)Blood (3 papers)Scientific Reports (2 papers)Drug Metabolism and Disposition (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bing He
90 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 155
- Infectious Diseases 363
- Immunology 313
- Cancer Research 202
- Pharmacology 118
- Neurology 174
Countries citing papers authored by Bing He
This map shows the geographic impact of Bing He'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 He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing He more than expected).
Fields of papers citing papers by Bing He
This network shows the impact of papers produced by Bing He. 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 He. The network helps show where Bing He may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing He, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 310 | |
| 2 | 2007 | 230 | |
| 3 | 2018 | 140 | |
| 4 | 2022 | 118 | |
| 5 | 2020 | 108 | |
| 6 | 2016 | 104 | |
| 7 | 2002 | 85 | |
| 8 | 2011 | 76 | |
| 9 | 2016 | 73 | |
| 10 | 2015 | 73 | |
| 11 | 2012 | 70 | |
| 12 | 2016 | 69 | |
| 13 | 2015 | 60 | |
| 14 | 2019 | 60 | |
| 15 | 2018 | 53 | |
| 16 | 2019 | 52 | |
| 17 | 2016 | 51 | |
| 18 | 2020 | 48 | |
| 19 | 2020 | 36 | |
| 20 | 2021 | 32 |
About Bing He
Bing He is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Immunology and Spectroscopy, having authored 98 papers that have together received 2.5k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), Immune Cell Function and Interaction (7 papers), Atmospheric Ozone and Climate (6 papers), vaccines and immunoinformatics approaches (6 papers), Atmospheric chemistry and aerosols (6 papers), Spectroscopy and Laser Applications (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Infectious Diseases (363 citations), Immunology (313 citations), Cancer Research (202 citations), Pharmacology (118 citations) and Neurology (174 citations). Bing He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lana X. Garmire, Cédric Badowski, Jian Shi, Xinwen Wang, Hao‐Jie Zhu, Daniel M. Knowles, Andrea Cerutti, Weifeng Xu, April Chiu and Amy Chadburn. Their work appears in journals such as RSC Advances, International Journal of Molecular Sciences, Blood, Scientific Reports and Drug Metabolism and Disposition.
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.