Randy Foo
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
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- Bat Biology and Ecology Studies 11
-
- Animal Virus Infections Studies 5
- Co-authors
- Lin‐Fa Wang (17 shared papers)Danielle E. Anderson (6 shared papers)Wan Ni Chia (7 shared papers)Chee Wah Tan (5 shared papers)Yee‐Joo Tan (2 shared papers)Charles Kevin Tiu (2 shared papers)Barnaby Edward Young (2 shared papers)Mark I-Cheng Chen (2 shared papers)
- Journals
- Emerging Microbes & Infections (2 papers)Viruses (2 papers)Scientific Reports (2 papers)Cell Reports (2 papers)Communications Biology (2 papers)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Randy Foo
22 papers receiving 1.4k citations
Randy Foo's Hit Papers
Peers
Comparison fields: 5 of 72
- Infectious Diseases 1.1k
- Animal Science and Zoology 45
- Immunology 78
- Modeling and Simulation 20
- Ecology, Evolution, Behavior and Systematics 65
Countries citing papers authored by Randy Foo
This map shows the geographic impact of Randy 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 Randy Foo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randy Foo more than expected).
Fields of papers citing papers by Randy Foo
This network shows the impact of papers produced by Randy 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 Randy Foo. The network helps show where Randy Foo may publish in the future.
Co-authors
The 25 scholars most cited alongside Randy 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A SARS-CoV-2 surrogate virus neutralization test based on antibody-mediated blockage of ACE2–spike protein–protein interaction Hit paper breakdown → | 2020 | 958 |
| 2 | 2020 | 148 | |
| 3 | 2020 | 80 | |
| 4 | 2022 | 43 | |
| 5 | 2023 | 41 | |
| 6 | 2022 | 23 | |
| 7 | 2020 | 21 | |
| 8 | 2023 | 20 | |
| 9 | 2022 | 15 | |
| 10 | 2018 | 13 | |
| 11 | 2020 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 1 |
About Randy Foo
Randy Foo is a scholar working on Ecology, Evolution, Behavior and Systematics, Animal Science and Zoology, Infectious Diseases, Immunology and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (11 papers), Animal Virus Infections Studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Zoonotic diseases and public health (4 papers), T-cell and B-cell Immunology (3 papers), Virology and Viral Diseases (3 papers), COVID-19 Clinical Research Studies (2 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Animal Science and Zoology (45 citations), Immunology (78 citations), Modeling and Simulation (20 citations) and Ecology, Evolution, Behavior and Systematics (65 citations). Randy Foo has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Lin‐Fa Wang, Danielle E. Anderson, Wan Ni Chia, Chee Wah Tan, Yee‐Joo Tan, Charles Kevin Tiu, Barnaby Edward Young, Mark I-Cheng Chen, David Chien Lye and Wan Rong Sia. Their work appears in journals such as Emerging Microbes & Infections, Viruses, Scientific Reports, Cell Reports and Communications Biology.
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.