Jack Bee Chook

404 citations
31 papers · 281 · h-index 10

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies
    • HIV Research and Treatment

Papers in

    • Hepatitis B Virus Studies 7
    • Liver Disease Diagnosis and Treatment 7
    • Respiratory viral infections research 5
    • HIV/AIDS drug development and treatment 4
    • Viral gastroenteritis research and epidemiology 4

Jack Bee Chook

30 papers receiving 275 citations

Peers

Jack Bee Chook
Comparison fields: 5 of 70
  • Infectious Diseases 107
  • Virology 23
  • Hepatology 33
  • Epidemiology 106
  • Modeling and Simulation 15
Replace Dongsheng Li with:
Dongsheng Li Australia
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Citations per field
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Citations per year

Countries citing papers authored by Jack Bee Chook

Since Specialization
Citations

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

Fields of papers citing papers by Jack Bee Chook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Bee Chook. 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 Jack Bee Chook. The network helps show where Jack Bee Chook may publish in the future.

Co-authors

The 25 scholars most cited alongside Jack Bee Chook, 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 Jack Bee Chook Line = papers co-authored together Jack Bee Chook links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201835
2 201632
3 201730
4 201521
5 201618
6 202114
7 201813
8 201512
9 202411
10 201110
11 20148
12 20238
13 20247
14 20237
15 20157
16 20176
17 20146
18 20236
19 20204
20 20224

About Jack Bee Chook

Jack Bee Chook is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Virology and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 281 indexed citations. Recurring topics across this work include Hepatitis C virus research (8 papers), Hepatitis B Virus Studies (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Respiratory viral infections research (5 papers), HIV/AIDS drug development and treatment (4 papers), Viral gastroenteritis research and epidemiology (4 papers), HIV Research and Treatment (4 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Infectious Diseases (107 citations), Virology (23 citations), Hepatology (33 citations), Epidemiology (106 citations) and Modeling and Simulation (15 citations). Jack Bee Chook has collaborated with scholars based in Malaysia, Japan and Singapore. Frequent co-authors include Kok Keng Tee, Yutaka Takebe, Kim Tien Ng, Kok‐Gan Chan, Adeeba Kamarulzaman, Yong Kek Pang, Nik Sherina Hanafi, Yun Fong Ngeow, Rosmawati Mohamed and Adeeba Kamarulzaman. Their work appears in journals such as Journal of Medical Virology, Virology Journal, PLoS ONE, American Journal of Tropical Medicine and Hygiene and Scientific Reports.

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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