Calvin J. Chiew

80 total papers · 6.3k total citations
59 papers, 3.3k citations indexed

About

Calvin J. Chiew is a scholar working on Infectious Diseases, Health and Epidemiology. According to data from OpenAlex, Calvin J. Chiew has authored 59 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Infectious Diseases, 17 papers in Health and 15 papers in Epidemiology. Recurrent topics in Calvin J. Chiew's 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). Calvin J. Chiew is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (29 papers), COVID-19 Clinical Research Studies (17 papers) and Vaccine Coverage and Hesitancy (17 papers). Calvin J. Chiew collaborates with scholars based in Singapore, Japan and United Kingdom. Calvin J. Chiew's 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 and has published in prestigious journals such as Annals of Internal Medicine, Clinical Infectious Diseases and Annals of Surgery.

In The Last Decade

Calvin J. Chiew

54 papers receiving 3.2k citations

Hit Papers

Can we contain the COVID-... 2020 2026 2022 2024 2020 2020 2021 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Calvin J. Chiew 1.7k 1.1k 449 428 386 59 3.3k
Kenji Mizumoto 1.6k 0.9× 1.4k 1.3× 267 0.6× 443 1.0× 399 1.0× 44 2.9k
Müge Çevik 2.2k 1.3× 819 0.7× 365 0.8× 529 1.2× 127 0.3× 65 3.5k
Jessica Y. Wong 1.2k 0.7× 1.2k 1.1× 313 0.7× 729 1.7× 386 1.0× 72 3.0k
Ying Liu 1.6k 0.9× 1.3k 1.2× 299 0.7× 299 0.7× 506 1.3× 32 3.0k
Mike Yat Wah Kwan 1.6k 0.9× 687 0.6× 325 0.7× 800 1.9× 255 0.7× 72 2.8k
Fei Tian 1.7k 1.0× 808 0.7× 499 1.1× 304 0.7× 313 0.8× 37 3.6k
Ruiyun Li 1.7k 1.0× 1.5k 1.4× 323 0.7× 651 1.5× 528 1.4× 95 4.6k
Natalie E. Dean 1.7k 1.0× 1.7k 1.6× 389 0.9× 602 1.4× 348 0.9× 62 3.3k
Yan Bai 1.7k 1.0× 829 0.8× 473 1.1× 269 0.6× 310 0.8× 47 4.2k
Michelle M. Hughes 1.7k 1.0× 535 0.5× 777 1.7× 580 1.4× 241 0.6× 40 4.0k

Countries citing papers authored by Calvin J. Chiew

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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