Foo Cheung
- Aging top 5%
- Immunology top 10%
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- Rheumatology top 5%
- Physiology top 10%
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- SARS-CoV-2 and COVID-19 Research 2
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- Acute Myeloid Leukemia Research 2
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- Single-cell and spatial transcriptomics 2
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- Advanced Proteomics Techniques and Applications 2
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- Neonatal Respiratory Health Research 2
- Co-authors
- Angélique BiancottoJulián CandiaGiovanna FantoniYuri KotliarovJinguo ChenJohn S. TsangToshiko TanakaPingbo Zhang
- Cited by
- AgingImmunologyRheumatology
- Journals
- Journal of Translational Medicine (3 papers)Scientific Reports (2 papers)Nature Medicine (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Foo Cheung
24 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Aging 75
- Immunology 350
- Rheumatology 189
- Physiology 292
- Biological Psychiatry 25
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2024 | 41 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 13 | |
| 5 | 2022 | 6 | |
| 6 | 2020 | 43 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 38 | |
| 9 | 2020 | 98 | |
| 10 | 2019 | 18 | |
| 11 | 2019 | 0 | |
| 12 | 2018 | 19 | |
| 13 | 2018 | 89 | |
| 14 | Plasma proteomic signature of age in healthy humansbreakdown → | 2018 | 339 |
| 15 | 2018 | 33 | |
| 16 | 2017 | 236 | |
| 17 | 2017 | 15 | |
| 18 | 2017 | 36 | |
| 19 | 2016 | 33 | |
| 20 | 2016 | 122 |
About Foo Cheung
Foo Cheung is a scholar working on Immunology, Hematology and Rheumatology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Acute Myeloid Leukemia Research (2 papers), Single-cell and spatial transcriptomics (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Aging (75 citations), Immunology (350 citations) and Rheumatology (189 citations). Foo Cheung has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Angélique Biancotto, Julián Candia, Giovanna Fantoni, Yuri Kotliarov, Jinguo Chen, John S. Tsang, Toshiko Tanaka, Pingbo Zhang, Marta González‐Freire and Luigi Ferrucci. Their work appears in journals such as Journal of Translational Medicine, Scientific Reports, Nature Medicine, Immunity and JCI Insight.
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.