Calvin J. Chiew
- Infectious Diseases top 0.5%
- Modeling and Simulation top 0.2%
- Clinical Psychology top 5%
- Epidemiology top 10%
- Economics and Econometrics top 2%
- Co-authors
- Vernon J. LeeAnnelies Wilder‐SmithMatthias Paul HS TohWycliffe Enli WeiZongbin LiDavid Chien LyeWei Xin KhongRachael Pung
- Topics
- SARS-CoV-2 and COVID-19 Research (29 papers)COVID-19 Clinical Research Studies (17 papers)Vaccine Coverage and Hesitancy (17 papers)
- Partner nations
- SingaporeUnited KingdomJapan
In The Last Decade
Calvin J. Chiew
54 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Infectious Diseases 1.7k
- Modeling and Simulation 1.1k
- Clinical Psychology 452
- Epidemiology 435
- Economics and Econometrics 388
Countries citing papers authored by Calvin J. Chiew
This map shows the geographic impact of Calvin J. Chiew'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 Calvin J. Chiew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Calvin J. Chiew more than expected).
Fields of papers citing papers by Calvin J. Chiew
This network shows the impact of papers produced by Calvin J. Chiew. 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 Calvin J. Chiew. The network helps show where Calvin J. Chiew may publish in the future.
Co-authorship network of co-authors of Calvin J. Chiew
This figure shows the co-authorship network connecting the top 25 collaborators of Calvin J. Chiew. A scholar is included among the top collaborators of Calvin J. Chiew 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 Calvin J. Chiew. Calvin J. Chiew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 17 | |
| 12 | 44 | |
| 13 | 11 | |
| 14 | 23 | |
| 15 | 18 | |
| 16 | 19 | |
| 17 | 11 | |
| 18 | Clinical and Virological Features of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variants of Concern: A Retrospective Cohort Study Comparing B.1.1.7 (Alpha), B.1.351 (Beta), and B.1.617.2 (Delta)breakdown → | 263 |
| 19 | 22 | |
| 20 | 23 |
About Calvin J. Chiew
Calvin J. Chiew is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 60 papers that have together received 3.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (29 papers), COVID-19 Clinical Research Studies (17 papers) and Vaccine Coverage and Hesitancy (17 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Infectious Diseases (1.7k citations) and Health (332 citations). Calvin J. Chiew has collaborated with scholars based in Singapore, United Kingdom and Japan. Frequent co-authors include Vernon J. Lee, Annelies Wilder‐Smith, Matthias Paul HS Toh, Wycliffe Enli Wei, Zongbin Li, David Chien Lye, Wei Xin Khong, Rachael Pung, Kelvin Bryan Tan and Vernon Lee. Their work appears in journals such as Annals of Internal Medicine, Clinical Infectious Diseases and Annals of Surgery.
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.