Suan‐Sin Foo
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
- COVID-19 Clinical Research Studies
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- Mosquito-borne diseases and control
- Zoonotic diseases and public health
Papers in
-
- Mosquito-borne diseases and control 14
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- interferon and immune responses 4
- Biomarkers in Disease Mechanisms 2
- Co-authors
- Weiqiang Chen (24 shared papers)Suresh Mahalingam (10 shared papers)Jae Ung Jung (16 shared papers)Adam Taylor (5 shared papers)Jianning Ge (3 shared papers)Shin-Ae Lee (5 shared papers)Lara J. Herrero (6 shared papers)Qiming Liang (2 shared papers)
- Journals
- Nature Microbiology (5 papers)mBio (4 papers)Nature Communications (3 papers)JCI Insight (2 papers)Trends in Microbiology (2 papers)
- Partner nations
- United StatesBrazilAustralia
In The Last Decade
Suan‐Sin Foo
37 papers receiving 2.7k citations
Suan‐Sin Foo's Hit Papers
Peers
Comparison fields: 5 of 101
- Infectious Diseases 878
- Public Health, Environmental and Occupational Health 1.1k
- Immunology 314
- Obstetrics and Gynecology 79
- Developmental Neuroscience 23
Countries citing papers authored by Suan‐Sin Foo
This map shows the geographic impact of Suan‐Sin 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 Suan‐Sin Foo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suan‐Sin Foo more than expected).
Fields of papers citing papers by Suan‐Sin Foo
This network shows the impact of papers produced by Suan‐Sin 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 Suan‐Sin Foo. The network helps show where Suan‐Sin Foo may publish in the future.
Co-authors
The 25 scholars most cited alongside Suan‐Sin 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 720 | |
| 2 | Zika Virus NS4A and NS4B Proteins Deregulate Akt-mTOR Signaling in Human Fetal Neural Stem Cells to Inhibit Neurogenesis and Induce Autophagy Hit paper breakdown → | 2016 | 436 |
| 3 | 2015 | 202 | |
| 4 | 2012 | 165 | |
| 5 | 2017 | 134 | |
| 6 | 2014 | 107 | |
| 7 | 2014 | 103 | |
| 8 | 2017 | 84 | |
| 9 | 2014 | 68 | |
| 10 | 2018 | 67 | |
| 11 | 2015 | 55 | |
| 12 | 2019 | 54 | |
| 13 | 2021 | 53 | |
| 14 | 2015 | 48 | |
| 15 | 2022 | 47 | |
| 16 | 2021 | 46 | |
| 17 | 2020 | 37 | |
| 18 | 2023 | 34 | |
| 19 | 2018 | 32 | |
| 20 | 2015 | 31 |
About Suan‐Sin Foo
Suan‐Sin Foo is a scholar working on Public Health, Environmental and Occupational Health, Immunology, Obstetrics and Gynecology, Infectious Diseases and Molecular Biology, having authored 39 papers that have together received 2.7k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (14 papers), Bone Metabolism and Diseases (6 papers), COVID-19 Impact on Reproduction (6 papers), interferon and immune responses (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Biomarkers in Disease Mechanisms (2 papers), Viral Infections and Vectors (2 papers) and Cervical Cancer and HPV Research (1 paper). The work is most often cited by research in Infectious Diseases (878 citations), Public Health, Environmental and Occupational Health (1.1k citations), Immunology (314 citations), Obstetrics and Gynecology (79 citations) and Developmental Neuroscience (23 citations). Suan‐Sin Foo has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Weiqiang Chen, Suresh Mahalingam, Jae Ung Jung, Adam Taylor, Jianning Ge, Shin-Ae Lee, Lara J. Herrero, Qiming Liang, Zhen Zhao and Su Wang. Their work appears in journals such as Nature Microbiology, mBio, Nature Communications, JCI Insight and Trends in Microbiology.
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.