Pak‐Yin Lui

932 citations
14 papers · 601 · h-index 11

Impact in

    • Viral Infections and Vectors
    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • Viral Infections and Outbreaks Research
    • COVID-19 Clinical Research Studies
  • Immunology top 10%
    • interferon and immune responses

Papers in

Pak‐Yin Lui

14 papers receiving 596 citations

Peers

Pak‐Yin Lui
Comparison fields: 5 of 58
  • Infectious Diseases 275
  • Immunology 311
  • Animal Science and Zoology 90
  • Cancer Research 50
  • Molecular Biology 226
Replace Andrea Mikulasova with:
Andrea Mikulasova Australia
Mohit Sehgal United States
Anshuman Das United States
Robert A. LeDesma United States
Giulia Marsili Italy
Yanhua Wang United States
Mengge Wu China
Yajuan Rui China
Alexandra Oteiza France
Nicola Logan United Kingdom
Pak‐Yin Lui relative to Andrea Mikulasova Australia Andrea Mikulasova's profile →
Citations per field
00.5×3.5×
Andrea Mikulasova · 1×
Citations per year

Countries citing papers authored by Pak‐Yin Lui

Since Specialization
Citations

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

Fields of papers citing papers by Pak‐Yin Lui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pak‐Yin Lui. 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 Pak‐Yin Lui. The network helps show where Pak‐Yin Lui may publish in the future.

Co-authors

The 25 scholars most cited alongside Pak‐Yin Lui, 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 Pak‐Yin Lui Line = papers co-authored together Pak‐Yin Lui links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2011149
2 2016104
3 201556
4 201351
5 201746
6 201545
7 201644
8 201539
9 202030
10 201920
11 201814
12 20121
13
Inhibition of RIG-I-dependent innate immunity by herpes simplex virus type I Us11 protein.
20161
14 20141

About Pak‐Yin Lui

Pak‐Yin Lui is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Epidemiology and Ecology, Evolution, Behavior and Systematics, having authored 14 papers that have together received 601 indexed citations. Recurring topics across this work include interferon and immune responses (9 papers), Viral Infections and Vectors (4 papers), Influenza Virus Research Studies (3 papers), RNA regulation and disease (3 papers), Vector-Borne Animal Diseases (2 papers), Respiratory viral infections research (2 papers), Animal Virus Infections Studies (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (275 citations), Immunology (311 citations), Animal Science and Zoology (90 citations), Cancer Research (50 citations) and Molecular Biology (226 citations). Pak‐Yin Lui has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Dong‐Yan Jin, Kin‐Hang Kok, Shannon Wing Ngor Au, Chi‐Ping Chan, Kam‐Leung Siu, Lok-Yin Roy Wong, Kit‐San Yuen, Nigel J. Stevenson, Kwok‐Yung Yuen and Man Lung Yeung. Their work appears in journals such as Journal of Virology, Emerging Microbes & Infections, The Journal of Immunology, The FASEB Journal and Cell Host & Microbe.

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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