Randy Foo

2.0k total citations · 1 hit paper
16 papers, 910 citations indexed

About

Randy Foo is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Animal Science and Zoology. According to data from OpenAlex, Randy Foo has authored 16 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 9 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Animal Science and Zoology. Recurrent topics in Randy Foo's work include Viral Infections and Vectors (10 papers), Bat Biology and Ecology Studies (9 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Randy Foo is often cited by papers focused on Viral Infections and Vectors (10 papers), Bat Biology and Ecology Studies (9 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Randy Foo collaborates with scholars based in Singapore, China and United States. Randy Foo's co-authors include Lin‐Fa Wang, Wan Ni Chia, Danielle E. Anderson, Chee Wah Tan, Charles Kevin Tiu, David Chien Lye, Yee‐Joo Tan, Mark Chen, Barnaby Edward Young and Wan Rong Sia and has published in prestigious journals such as Journal of Clinical Investigation, Immunity and Nature Biotechnology.

In The Last Decade

Randy Foo

16 papers receiving 898 citations

Hit Papers

A SARS-CoV-2 surrogate virus neutralization test based on... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Randy Foo Singapore 9 839 139 115 96 73 16 910
Wan Rong Sia Singapore 8 841 1.0× 151 1.1× 125 1.1× 263 2.7× 68 0.9× 13 1.1k
Martin Müller Germany 8 585 0.7× 98 0.7× 174 1.5× 120 1.3× 22 0.3× 12 764
Giulia Torriani Switzerland 15 662 0.8× 49 0.4× 96 0.8× 63 0.7× 106 1.5× 21 788
Charles Kevin Tiu Singapore 3 765 0.9× 131 0.9× 108 0.9× 76 0.8× 72 1.0× 4 811
Su Hui Catherine Teo Singapore 6 448 0.5× 40 0.3× 95 0.8× 47 0.5× 44 0.6× 8 591
Panke Qu United States 15 664 0.8× 121 0.9× 215 1.9× 62 0.6× 15 0.2× 15 740
Wen Shi Lee Australia 15 807 1.0× 74 0.5× 223 1.9× 459 4.8× 24 0.3× 39 1.2k
Kim E. Schmidt Germany 5 417 0.5× 86 0.6× 287 2.5× 186 1.9× 19 0.3× 6 678
Henning Gruell Germany 17 782 0.9× 69 0.5× 234 2.0× 317 3.3× 54 0.7× 52 1.2k
Jessica Tan United States 10 498 0.6× 50 0.4× 120 1.0× 167 1.7× 46 0.6× 16 796

Countries citing papers authored by Randy Foo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Randy Foo

This figure shows the co-authorship network connecting the top 25 collaborators of Randy Foo. A scholar is included among the top collaborators of Randy Foo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Randy Foo. Randy Foo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Gamage, Akshamal M., Wei Lun Ng, Wan Rong Sia, et al.. (2025). Heat stress response in the cave nectar bat Eonycteris spelaea differs from that of Mus musculus. Communications Biology. 8(1). 811–811. 1 indexed citations
2.
Chen, Shiwei, Wan Rong Sia, Akshamal M. Gamage, et al.. (2024). Application of a bespoke monoclonal antibody panel to characterize immune cell populations in cave nectar bats. Cell Reports. 43(9). 114703–114703. 1 indexed citations
3.
Lim, Xiao Fang, Justin H. J. Ng, Wan Ni Chia, et al.. (2023). Genomic Characterization of a Relative of Mumps Virus in Lesser Dawn Bats of Southeast Asia. Viruses. 15(3). 659–659. 1 indexed citations
4.
Yang, Hechuan, Randy Foo, Wharton O. Y. Chan, et al.. (2023). Population genomic analysis reveals distinct demographics and recent adaptation in the black flying fox (Pteropus alecto). Journal of genetics and genomics. 50(8). 554–562. 1 indexed citations
5.
Anderson, Danielle E., Abhay P. S. Rathore, Chinmay Kumar Mantri, et al.. (2023). Mast cell activation in lungs during SARS-CoV-2 infection associated with lung pathology and severe COVID-19. Journal of Clinical Investigation. 133(19). 14 indexed citations
6.
Chia, Wan Ni, Randy Foo, Alison J. Peel, et al.. (2023). Applications of VirScan to broad serological profiling of bat reservoirs for emerging zoonoses. Frontiers in Public Health. 11. 1212018–1212018. 7 indexed citations
7.
Gamage, Akshamal M., Wharton O. Y. Chan, Feng Zhu, et al.. (2022). Single-cell transcriptome analysis of the in vivo response to viral infection in the cave nectar bat Eonycteris spelaea. Immunity. 55(11). 2187–2205.e5. 18 indexed citations
8.
Chan, Louisa, Akshamal M. Gamage, Chee Wah Tan, et al.. (2022). Generation of self-replicating airway organoids from the cave nectar bat Eonycteris spelaea as a model system for studying host–pathogen interactions in the bat airway epithelium. Emerging Microbes & Infections. 12(1). e2148561–e2148561. 10 indexed citations
9.
Foo, Randy, Justin H. J. Ng, Yok Teng Chionh, et al.. (2022). Establishment of a Captive Cave Nectar Bat (Eonycteris spelaea) Breeding Colony in Singapore. Journal of the American Association for Laboratory Animal Science. 61(4). 344–352. 7 indexed citations
10.
Sia, Wan Rong, et al.. (2021). Culture, expansion, and flow-cytometry-based functional analysis of pteropid bat MR1-restricted unconventional T cells. STAR Protocols. 2(2). 100487–100487. 3 indexed citations
11.
Chia, Wan Ni, Chee Wah Tan, Randy Foo, et al.. (2020). Serological differentiation between COVID-19 and SARS infections. Emerging Microbes & Infections. 9(1). 1497–1505. 70 indexed citations
12.
Ng, Justin H. J., Wan Ni Chia, Casandra Philipson, et al.. (2020). Detection of Recombinant Rousettus Bat Coronavirus GCCDC1 in Lesser Dawn Bats (Eonycteris spelaea) in Singapore. Viruses. 12(5). 539–539. 12 indexed citations
13.
Ng, Justin H. J., Wan Ni Chia, Casandra Philipson, et al.. (2020). The temporal RNA virome patterns of a lesser dawn bat (Eonycteris spelaea) colony revealed by deep sequencing. Virus Evolution. 6(1). veaa017–veaa017. 10 indexed citations
14.
Gamage, Akshamal M., Feng Zhu, Matae Ahn, et al.. (2020). Immunophenotyping monocytes, macrophages and granulocytes in the Pteropodid bat Eonycteris spelaea. Scientific Reports. 10(1). 309–309. 17 indexed citations
15.
Tan, Chee Wah, Wan Ni Chia, Pei Liu, et al.. (2020). A SARS-CoV-2 surrogate virus neutralization test based on antibody-mediated blockage of ACE2–spike protein–protein interaction. Nature Biotechnology. 38(9). 1073–1078. 726 indexed citations breakdown →
16.
Yong, Kylie Su Mei, Justin H. J. Ng, Zhisheng Her, et al.. (2018). Bat-mouse bone marrow chimera: a novel animal model for dissecting the uniqueness of the bat immune system. Scientific Reports. 8(1). 4726–4726. 12 indexed citations

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.

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