Foo Y. Liew

3.0k citations
20 papers · 2.5k indexed · h-index 17

Impact in

  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
  • Hematology top 5%
    • Autoimmune and Inflammatory Disorders Research

Papers in

    • Immune Cell Function and Interaction 14
    • T-cell and B-cell Immunology 8
    • IL-33, ST2, and ILC Pathways 4
    • Immune Response and Inflammation 3

Foo Y. Liew

20 papers receiving 2.4k citations

Peers

Foo Y. Liew
Comparison fields: 5 of 92
  • Immunology 1.8k
  • Hematology 244
  • Rheumatology 282
  • Immunology and Allergy 91
  • Epidemiology 427
Replace Akira Hakura with:
Akira Hakura Japan
Kazuko Hattori Japan
E Möller Sweden
Kakuji Torigoe Japan
Haruki Okamura Japan
Guido Sireci Italy
Rajeev R. Warrier United States
F Y Liew United Kingdom
Woon Ling Chan United Kingdom
Mousa Komai‐Koma United Kingdom
Foo Y. Liew relative to Akira Hakura Japan Akira Hakura's profile →
Citations per field
00.5×1.5×1.9×
Akira Hakura · 1×
Citations per year

Countries citing papers authored by Foo Y. Liew

Since Specialization
Citations

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

Fields of papers citing papers by Foo Y. Liew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Foo Y. Liew. 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 Foo Y. Liew. The network helps show where Foo Y. Liew may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015122
2 2007267
3 2003199
4 2002491
5 2001174
6 200117
7 2000168
8 2000138
9 19983
10 1996411
11 1995126
12 199337
13 1989123
14 198750
15 198214
16 198110
17 198038
18 198028
19 197919
20 197925

About Foo Y. Liew

Foo Y. Liew is a scholar working on Immunology, Endocrinology, Parasitology, Public Health, Environmental and Occupational Health and Rheumatology, having authored 20 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (8 papers), IL-33, ST2, and ILC Pathways (4 papers), Research on Leishmaniasis Studies (4 papers), Immune Response and Inflammation (3 papers), Inflammasome and immune disorders (3 papers), Eosinophilic Esophagitis (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Immunology (1.8k citations), Hematology (244 citations), Rheumatology (282 citations), Immunology and Allergy (91 citations) and Epidemiology (427 citations). Foo Y. Liew has collaborated with scholars based in United Kingdom, South Africa and Serbia. Frequent co-authors include Iain B. McInnes, Bernard P. Leung, Xiaoqing Wei, Mousa Komai‐Koma, Michael A. Caligiuri, Marc Dalod, Khuong B. Nguyen, Thais P. Salazar‐Mather, Christine A. Biron and Joan E. Durbin. Their work appears in journals such as European Journal of Immunology, The Journal of Immunology, Nature Medicine, Microbial Pathogenesis and PLoS Pathogens.

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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