Bin Cao
- Infectious Diseases top 0.01%
- COVID-19 Clinical Research Studies 46
- SARS-CoV-2 and COVID-19 Research 24
- Neurology top 0.05%
- Long-Term Effects of COVID-19 29
- Modeling and Simulation top 0.1%
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- Pneumonia and Respiratory Infections 68
- Respiratory viral infections research 67
- Influenza Virus Research Studies 49
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- Antibiotic Resistance in Bacteria 30
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- Bacterial Identification and Susceptibility Testing 17
- Journals
- International Journal of Infectious Diseases (8 papers)Infection and Drug Resistance (7 papers)BMC Infectious Diseases (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bin Cao
283 papers receiving 26.1k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Infectious Diseases 15.7k
- Neurology 7.5k
- Applied Microbiology and Biotechnology 812
- Critical Care and Intensive Care Medicine 1.7k
- Modeling and Simulation 1.4k
Countries citing papers authored by Bin Cao
This map shows the geographic impact of Bin Cao'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 Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Cao more than expected).
Fields of papers citing papers by Bin Cao
This network shows the impact of papers produced by Bin Cao. 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 Cao. The network helps show where Bin Cao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bin Cao, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 26 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 13 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 1 | |
| 16 | 2022 | 2 | |
| 17 | 2020 | 13 | |
| 18 | Traditional Chinese medicine Astragalus polysaccharide enhanced antitumor effects of the angiogenesis inhibitor apatinib in pancreatic cancer cells on proliferation, invasiveness, and apoptosis | 2018 | 3 |
| 19 | 2018 | 1 | |
| 20 | 2014 | 64 |
About Bin Cao
Bin Cao is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Infectious Diseases, Critical Care and Intensive Care Medicine and Epidemiology, having authored 308 papers that have together received 26.7k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (68 papers), Respiratory viral infections research (67 papers), Influenza Virus Research Studies (49 papers), COVID-19 Clinical Research Studies (46 papers), Antibiotic Resistance in Bacteria (30 papers), Long-Term Effects of COVID-19 (29 papers), SARS-CoV-2 and COVID-19 Research (24 papers) and Bacterial Identification and Susceptibility Testing (17 papers). The work is most often cited by research in Infectious Diseases (15.7k citations), Neurology (7.5k citations), Applied Microbiology and Biotechnology (812 citations), Critical Care and Intensive Care Medicine (1.7k citations) and Modeling and Simulation (1.4k citations). Bin Cao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jiuyang Xu, Yeming Wang, Xiaoying Gu, Guohui Fan, Fei Zhou, Zhibo Liu, Yi Zhang, Ting Yu, Jie Xiang and Hua Chen. Their work appears in journals such as International Journal of Infectious Diseases, Infection and Drug Resistance, BMC Infectious Diseases, Diagnostic Microbiology and Infectious Disease and Clinical Microbiology and Infection.
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.