Chun Kew

476 citations
9 papers · 215 · h-index 7

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • interferon and immune responses

Papers in

    • interferon and immune responses 6
    • Immune Response and Inflammation 3
    • RNA Research and Splicing 2
    • Inflammasome and immune disorders 1
    • Mitochondrial Function and Pathology 1
    • Heme Oxygenase-1 and Carbon Monoxide 1

Chun Kew

9 papers receiving 215 citations

Peers

Chun Kew
Comparison fields: 5 of 47
  • Aging 20
  • Immunology 88
  • Biological Psychiatry 5
  • Infectious Diseases 38
  • Endocrinology 10
Replace Bargavi Thyagarajan with:
Bargavi Thyagarajan United States
Vincent A. Streva United States
Haroon Kalam India
Corinna Pade United Kingdom
Imtiyaz Yaseen India
Fengting Wu United States
Fábio Bento Germany
Isabela Cunha Navarro Brazil
Jana Nejepinska Czechia
Megan Filbin United States
Chun Kew relative to Bargavi Thyagarajan United States Bargavi Thyagarajan's profile →
Citations per field
00.5×
Bargavi Thyagarajan · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Chun Kew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chun Kew Line = papers co-authored together Chun Kew links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201351
2 201842
3 201539
4 202029
5 202218
6 202215
7 202014
8 20246
9
Inhibition of RIG-I-dependent innate immunity by herpes simplex virus type I Us11 protein.
20161

About Chun Kew

Chun Kew is a scholar working on Immunology, Molecular Biology, Epidemiology, Aging and Infectious Diseases, having authored 9 papers that have together received 215 indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Immune Response and Inflammation (3 papers), RNA Research and Splicing (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Inflammasome and immune disorders (1 paper), Mitochondrial Function and Pathology (1 paper), Tryptophan and brain disorders (1 paper) and Heme Oxygenase-1 and Carbon Monoxide (1 paper). The work is most often cited by research in Aging (20 citations), Immunology (88 citations), Biological Psychiatry (5 citations), Infectious Diseases (38 citations) and Endocrinology (10 citations). Chun Kew has collaborated with scholars based in Germany, Hong Kong and Australia. Frequent co-authors include Dong‐Yan Jin, Chi‐Ping Chan, Adam Antebi, Kin‐Hang Kok, Pak‐Yin Lui, Varnesh Tiku, Nirmal Robinson, Raja Ganesan, Parul Mehrotra and Shannon Wing Ngor Au. Their work appears in journals such as Nature Communications, Journal of Virology, PLoS Pathogens, Frontiers in Microbiology and Nature Aging.

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.

Explore authors with similar magnitude of impact