Foo Cheung
Impact in
- Aging top 5%
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Immunology 18
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 6
- Immune responses and vaccinations 4
- Immunotherapy and Immune Responses 3
-
- Systemic Lupus Erythematosus Research 3
- Co-authors
- Angélique Biancotto (13 shared papers)Giovanna Fantoni (6 shared papers)Julián Candia (8 shared papers)Yuri Kotliarov (10 shared papers)John S. Tsang (9 shared papers)Jinguo Chen (11 shared papers)Miguel Antonio Aon (1 shared paper)Brian A. Sellers (4 shared papers)
- Journals
- Nature Medicine (3 papers)Nature Immunology (3 papers)Journal of Translational Medicine (3 papers)Cell (2 papers)Cell Reports (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Foo Cheung
37 papers receiving 2.7k citations
Foo Cheung's Hit Papers
Peers
Comparison fields: 5 of 115
- Aging 85
- Immunology 892
- Rheumatology 297
- Infectious Diseases 341
- Biological Psychiatry 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 38 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 | 416 |
| 2 | 2014 | 364 | |
| 3 | 2017 | 309 | |
| 4 | 2021 | 166 | |
| 5 | 2021 | 162 | |
| 6 | 2020 | 135 | |
| 7 | 2016 | 131 | |
| 8 | 2017 | 106 | |
| 9 | 2014 | 101 | |
| 10 | 2018 | 99 | |
| 11 | Deep phenotyping of post-infectious myalgic encephalomyelitis/chronic fatigue syndrome Hit paper breakdown → | 2024 | 79 |
| 12 | 2024 | 67 | |
| 13 | 2020 | 53 | |
| 14 | 2022 | 51 | |
| 15 | 2020 | 43 | |
| 16 | 2016 | 40 | |
| 17 | 2017 | 40 | |
| 18 | 1999 | 35 | |
| 19 | 2018 | 35 | |
| 20 | 2021 | 35 |
About Foo Cheung
Foo Cheung is a scholar working on Immunology, Rheumatology, Molecular Biology, Infectious Diseases and Hematology, having authored 38 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers), Immune responses and vaccinations (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Diabetes and associated disorders (3 papers), Systemic Lupus Erythematosus Research (3 papers), Immunotherapy and Immune Responses (3 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Aging (85 citations), Immunology (892 citations), Rheumatology (297 citations), Infectious Diseases (341 citations) and Biological Psychiatry (41 citations). Foo Cheung has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Angélique Biancotto, Giovanna Fantoni, Julián Candia, Yuri Kotliarov, John S. Tsang, Jinguo Chen, Miguel Antonio Aon, Brian A. Sellers, Ann Zenobia Moore and Ruin Moaddel. Their work appears in journals such as Nature Medicine, Nature Immunology, Journal of Translational Medicine, Cell and Cell Reports.
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.