Chun Kew

About

Chun Kew is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Chun Kew has authored 9 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Chun Kew’s work include interferon and immune responses (6 papers), Immune Response and Inflammation (3 papers) and Viral Infections and Vectors (2 papers). Chun Kew is often cited by papers focused on interferon and immune responses (6 papers), Immune Response and Inflammation (3 papers) and Viral Infections and Vectors (2 papers). Chun Kew collaborates with scholars based in Germany, Hong Kong and United States. Chun Kew's co-authors include Dong‐Yan Jin, Chi‐Ping Chan, Kin‐Hang Kok, Pak‐Yin Lui, Adam Antebi, Raja Ganesan, Nirmal Robinson, Varnesh Tiku, Parul Mehrotra and Xiang Liu and has published in prestigious journals such as Nature Communications, Journal of Virology and Frontiers in Microbiology.

In The Last Decade

Co-authorship network of co-authors of Chun Kew i

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Fields of papers citing papers by Chun Kew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun Kew. 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 Chun Kew. The network helps show where Chun Kew may publish in the future.

Countries citing papers authored by Chun Kew

Since Specialization

Citations

This map shows the geographic impact of Chun Kew'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 Chun Kew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Kew more than expected).

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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