Shihui Foo
Impact in
- Immunology top 2%
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- T-cell and B-cell Immunology
- Neurology top 10%
Papers in
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- Dermatology and Skin Diseases 6
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- Immune cells in cancer 3
- T-cell and B-cell Immunology 2
- Co-authors
- Michael Poidinger (5 shared papers)Francesca Zolezzi (5 shared papers)Josephine Lum (4 shared papers)Christiane Ruedl (1 shared paper)Kaibo Duan (1 shared paper)Jianpeng Sheng (1 shared paper)Klaus Karjalainen (1 shared paper)Qi Chen (1 shared paper)
In The Last Decade
Shihui Foo
14 papers receiving 1.7k citations
Shihui Foo's Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology 768
- Neurology 56
- Oncology 119
- Physiology 132
- Hematology 66
Countries citing papers authored by Shihui Foo
This map shows the geographic impact of Shihui Foo'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 Shihui Foo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shihui Foo more than expected).
Fields of papers citing papers by Shihui Foo
This network shows the impact of papers produced by Shihui Foo. 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 Shihui Foo. The network helps show where Shihui Foo may publish in the future.
Co-authors
The 25 scholars most cited alongside Shihui Foo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Two distinct interstitial macrophage populations coexist across tissues in specific subtissular niches Hit paper breakdown → | 2019 | 873 |
| 2 | Developmental Analysis of Bone Marrow Neutrophils Reveals Populations Specialized in Expansion, Trafficking, and Effector Functions Hit paper breakdown → | 2018 | 554 |
| 3 | 2018 | 81 | |
| 4 | 2018 | 58 | |
| 5 | 2015 | 36 | |
| 6 | 2017 | 33 | |
| 7 | 2016 | 28 | |
| 8 | 2015 | 26 | |
| 9 | 2021 | 14 | |
| 10 | 2023 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2015 | 5 | |
| 14 | 2025 | 2 | |
| 15 | 2017 | 0 | |
| 16 | 2017 | 0 | |
| 17 | 2017 | 0 | |
| 18 | 2017 | 0 | |
| 19 | 2017 | 0 | |
| 20 | 2025 | 0 |
About Shihui Foo
Shihui Foo is a scholar working on Dermatology, Immunology, Genetics, Physiology and Immunology and Allergy, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (6 papers), Epigenetics and DNA Methylation (5 papers), Genetic Associations and Epidemiology (5 papers), Asthma and respiratory diseases (4 papers), Immune cells in cancer (3 papers), T-cell and B-cell Immunology (2 papers), Allergic Rhinitis and Sensitization (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Immunology (768 citations), Neurology (56 citations), Oncology (119 citations), Physiology (132 citations) and Hematology (66 citations). Shihui Foo has collaborated with scholars based in Singapore, France and China. Frequent co-authors include Michael Poidinger, Francesca Zolezzi, Josephine Lum, Christiane Ruedl, Kaibo Duan, Jianpeng Sheng, Klaus Karjalainen, Qi Chen, Paola Ricciardi‐Castagnoli and Sri Anusha Matta. Their work appears in journals such as Nature Communications, Journal of Allergy and Clinical Immunology, European Journal of Immunology, Nature Immunology and Journal of Clinical Immunology.
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.