Suan‐Sin Foo

2.2k citations
25 papers · 1.3k indexed · 1 hit paper · h-index 16

Impact in

Papers in

Suan‐Sin Foo

23 papers receiving 1.3k citations

Hit Papers

Zika Virus NS4A and NS4B Proteins Deregulate Akt-mTOR Signaling in Human Fetal Neural Stem Cells to Inhibit Neurogenesis and Induce Autophagy 2016 · 394 citations
3942016202620192022100200300

Peers

Suan‐Sin Foo
Comparison fields: 5 of 99
  • Infectious Diseases 778
  • Public Health, Environmental and Occupational Health 752
  • Virology 66
  • Immunology 220
  • Epidemiology 329
Replace William W. Tang with:
William W. Tang United States
Yannick Simonin France
Lauren Oko United States
Justin M. Richner United States
Ophélie Dejarnac France
Camila Malta Romano Brazil
Fok‐Moon Lum Singapore
Ying Chan United States
Julie M. Fox United States
Bryan D. Griffin Canada
Suan‐Sin Foo relative to William W. Tang United States William W. Tang's profile →
Citations per field
00.5×1.5×
William W. Tang · 1×
Citations per year

Countries citing papers authored by Suan‐Sin Foo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Suan‐Sin Foo Line = papers co-authored together Suan‐Sin Foo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 202413
5 20244
6 202410
7 20242
8 202320
9 202211
10 202241
11 202144
12 202120
13 201858
14 201828
15 2017114
16
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 →
2016394
17 201493
18 201496
19 201455
20 201415

About Suan‐Sin Foo

Suan‐Sin Foo is a scholar working on Immunology, Infectious Diseases, Hematology, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (8 papers), Viral Infections and Vectors (6 papers), Autoimmune and Inflammatory Disorders Research (5 papers), interferon and immune responses (4 papers), Viral Infections and Immunology Research (4 papers), Virology and Viral Diseases (3 papers), COVID-19 Impact on Reproduction (3 papers) and Viral Infections and Outbreaks Research (2 papers). The work is most often cited by research in Infectious Diseases (778 citations), Public Health, Environmental and Occupational Health (752 citations), Virology (66 citations), Immunology (220 citations) and Epidemiology (329 citations). Suan‐Sin Foo has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Weiqiang Chen, Suresh Mahalingam, Jae U. Jung, Adam Taylor, Shin-Ae Lee, Jianning Ge, Qiming Liang, Berislav V. Zloković, Steven A. Goldman and Su Wang. Their work appears in journals such as Nature Microbiology, mBio, Journal of Virology, BMJ Open and Virology Journal.

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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