Foo Cheung
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology top 5%
- Immune responses and vaccinations
- T-cell and B-cell Immunology
Papers in
- Immunology 13
- T-cell and B-cell Immunology 7
- Immune responses and vaccinations 4
-
- Influenza Virus Research Studies 5
- Co-authors
- Angélique Biancotto (13 shared papers)Julián Candia (8 shared papers)Giovanna Fantoni (6 shared papers)Yuri Kotliarov (10 shared papers)John S. Tsang (9 shared papers)Jinguo Chen (11 shared papers)Ruin Moaddel (1 shared paper)Toshiko Tanaka (1 shared paper)
- Journals
- Nature Medicine (3 papers)Nature Immunology (3 papers)Journal of Translational Medicine (3 papers)JCI Insight (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesUnited KingdomPhilippines
In The Last Decade
Foo Cheung
35 papers receiving 2.7k citations
Foo Cheung's Hit Papers
Peers
Comparison fields: 5 of 99
- Aging 185
- Immunology 615
- Rheumatology 253
- Infectious Diseases 266
- Geriatrics and Gerontology 41
Countries citing papers authored by Foo Cheung
This map shows the geographic impact of Foo Cheung'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 Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Foo Cheung more than expected).
Fields of papers citing papers by Foo Cheung
This network shows the impact of papers produced by Foo Cheung. 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 Cheung. The network helps show where Foo Cheung may publish in the future.
Co-authors
The 25 scholars most cited alongside Foo Cheung, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 425 | |
| 2 | 2014 | 373 | |
| 3 | 2017 | 313 | |
| 4 | Phase 1 double-blind randomized safety trial of the Janus kinase inhibitor tofacitinib in systemic lupus erythematosus Hit paper breakdown → | 2021 | 169 |
| 5 | 2021 | 166 | |
| 6 | 2020 | 138 | |
| 7 | 2016 | 133 | |
| 8 | 2017 | 111 | |
| 9 | 2018 | 103 | |
| 10 | 2014 | 101 | |
| 11 | Deep phenotyping of post-infectious myalgic encephalomyelitis/chronic fatigue syndrome Hit paper breakdown → | 2024 | 84 |
| 12 | 2024 | 68 | |
| 13 | 2020 | 53 | |
| 14 | 2022 | 53 | |
| 15 | 2020 | 43 | |
| 16 | 2016 | 40 | |
| 17 | 2017 | 40 | |
| 18 | 2021 | 36 | |
| 19 | 2018 | 35 | |
| 20 | 2024 | 30 |
About Foo Cheung
Foo Cheung is a scholar working on Immunology, Epidemiology, Rheumatology, Molecular Biology and Hematology, having authored 36 papers that have together received 2.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Influenza Virus Research Studies (5 papers), Immune responses and vaccinations (4 papers), Single-cell and spatial transcriptomics (4 papers), Systemic Lupus Erythematosus Research (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Acute Myeloid Leukemia Research (2 papers) and Dietary Effects on Health (2 papers). The work is most often cited by research in Aging (185 citations), Immunology (615 citations), Rheumatology (253 citations), Infectious Diseases (266 citations) and Geriatrics and Gerontology (41 citations). Foo Cheung has collaborated with scholars based in United States, United Kingdom and Philippines. Frequent co-authors include Angélique Biancotto, Julián Candia, Giovanna Fantoni, Yuri Kotliarov, John S. Tsang, Jinguo Chen, Ruin Moaddel, Toshiko Tanaka, Brian A. Sellers and Ann Zenobia Moore. Their work appears in journals such as Nature Medicine, Nature Immunology, Journal of Translational Medicine, JCI Insight and Nature Communications.
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.