Foo Cheung
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Single-cell and spatial transcriptomics 2
- Advanced Biosensing Techniques and Applications 2
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- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immune responses and vaccinations 2
- Co-authors
- Angélique Biancotto (14 shared papers)Julián Candia (9 shared papers)Giovanna Fantoni (7 shared papers)Yuri Kotliarov (10 shared papers)Jinguo Chen (11 shared papers)John S. Tsang (9 shared papers)Pingbo Zhang (1 shared paper)Miguel A. Aon (1 shared paper)
- Journals
- Journal of Translational Medicine (3 papers)JCI Insight (2 papers)Nature Medicine (2 papers)Scientific Reports (2 papers)Immunity (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Foo Cheung
24 papers receiving 1.4k citations
Foo Cheung's Hit Papers
Peers
Comparison fields: 5 of 104
- Aging 74
- Immunology 291
- Rheumatology 178
- Biological Psychiatry 25
- Physiology 238
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Plasma proteomic signature of age in healthy humans Hit paper breakdown → | 2018 | 371 |
| 2 | 2017 | 249 | |
| 3 | 2016 | 127 | |
| 4 | 2020 | 105 | |
| 5 | 2018 | 91 | |
| 6 | 2024 | 52 | |
| 7 | 2020 | 46 | |
| 8 | 2020 | 40 | |
| 9 | 2017 | 37 | |
| 10 | 2018 | 35 | |
| 11 | 2016 | 35 | |
| 12 | 1999 | 34 | |
| 13 | 1997 | 21 | |
| 14 | 2020 | 21 | |
| 15 | 2018 | 20 | |
| 16 | 2021 | 18 | |
| 17 | 2019 | 18 | |
| 18 | 2018 | 17 | |
| 19 | 2023 | 17 | |
| 20 | 2023 | 16 |
About Foo Cheung
Foo Cheung is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Rheumatology and Hematology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Immune responses and vaccinations (2 papers), Single-cell and spatial transcriptomics (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Aging (74 citations), Immunology (291 citations), Rheumatology (178 citations), Biological Psychiatry (25 citations) and Physiology (238 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, Pingbo Zhang, Miguel A. Aon, Ruin Moaddel and Richard D. Semba. Their work appears in journals such as Journal of Translational Medicine, JCI Insight, Nature Medicine, Scientific Reports and Immunity.
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.