Bin Bai
Impact in
- Bioengineering top 10%
- Analytical Chemistry and Sensors
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 3
-
- Animal Virus Infections Studies 4
- Co-authors
- Weiming Chen (1 shared paper)Peipei Li (1 shared paper)Hongqiang Jin (1 shared paper)Jia Yu (1 shared paper)Weiguo Song (1 shared paper)Qikai Shen (1 shared paper)Changyan Cao (1 shared paper)Jianxun Qi (5 shared papers)
- Journals
- The EMBO Journal (2 papers)Journal of Virology (2 papers)Applied Surface Science (1 paper)Proceedings of the Royal Society B Biological Sciences (1 paper)mBio (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Bin Bai
12 papers receiving 218 citations
Peers
Comparison fields: 5 of 47
- Bioengineering 37
- Infectious Diseases 117
- Animal Science and Zoology 56
- Modeling and Simulation 8
- Electrical and Electronic Engineering 67
Countries citing papers authored by Bin Bai
This map shows the geographic impact of Bin Bai'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 Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Bai more than expected).
Fields of papers citing papers by Bin Bai
This network shows the impact of papers produced by Bin Bai. 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 Bai. The network helps show where Bin Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Bai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 76 | |
| 2 | 2021 | 43 | |
| 3 | 2022 | 38 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 13 | |
| 6 | 2020 | 9 | |
| 7 | 2007 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 4 | |
| 11 | 2022 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 0 |
About Bin Bai
Bin Bai is a scholar working on Infectious Diseases, Animal Science and Zoology, Genetics, Catalysis and Renewable Energy, Sustainability and the Environment, having authored 13 papers that have together received 221 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Animal Virus Infections Studies (4 papers), Virus-based gene therapy research (3 papers), COVID-19 Clinical Research Studies (3 papers), Catalytic Processes in Materials Science (2 papers), CO2 Reduction Techniques and Catalysts (2 papers), Catalysts for Methane Reforming (2 papers) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Bioengineering (37 citations), Infectious Diseases (117 citations), Animal Science and Zoology (56 citations), Modeling and Simulation (8 citations) and Electrical and Electronic Engineering (67 citations). Bin Bai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Weiming Chen, Peipei Li, Hongqiang Jin, Jia Yu, Weiguo Song, Qikai Shen, Changyan Cao, Jianxun Qi, George F. Gao and Qihui Wang. Their work appears in journals such as The EMBO Journal, Journal of Virology, Applied Surface Science, Proceedings of the Royal Society B Biological Sciences and mBio.
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.