Sara Chaothai
- Infectious Diseases top 10%
- Modeling and Simulation top 10%
- Health
- Animal Science and Zoology
- Molecular Biology
- Co-authors
- Malik PeirisSamuel M. S. ChengEric H. Y. LauDavid S.C. HuiKelvin K. H. KwanGM LeungChao WuJoseph T. Wu
- Topics
- SARS-CoV-2 and COVID-19 Research (6 papers)COVID-19 Clinical Research Studies (5 papers)Animal Virus Infections Studies (3 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Sara Chaothai
6 papers receiving 185 citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Infectious Diseases 160
- Modeling and Simulation 39
- Health 37
- Animal Science and Zoology 22
- Molecular Biology 21
Countries citing papers authored by Sara Chaothai
This map shows the geographic impact of Sara Chaothai'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 Sara Chaothai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Chaothai more than expected).
Fields of papers citing papers by Sara Chaothai
This network shows the impact of papers produced by Sara Chaothai. 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 Sara Chaothai. The network helps show where Sara Chaothai may publish in the future.
Co-authorship network of co-authors of Sara Chaothai
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Chaothai. A scholar is included among the top collaborators of Sara Chaothai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sara Chaothai. Sara Chaothai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Real-world COVID-19 vaccine effectiveness against the Omicron BA.2 variant in a SARS-CoV-2 infection-naive populationbreakdown → | 116 |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 13 | |
| 5 | 44 | |
| 6 | 1 |
About Sara Chaothai
Sara Chaothai is a scholar working on Infectious Diseases, Animal Science and Zoology and Health, having authored 6 papers that have together received 187 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Infectious Diseases (160 citations), Modeling and Simulation (39 citations) and Health (37 citations). Sara Chaothai has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Malik Peiris, Samuel M. S. Cheng, Eric H. Y. Lau, David S.C. Hui, Kelvin K. H. Kwan, GM Leung, Chao Wu, Joseph T. Wu, Masashi Mori and Asmaa Hachim. Their work appears in journals such as Nature Medicine, Clinical Infectious Diseases and Vaccine.
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.