Rui Min Foo

446 citations
6 papers · 324 · h-index 3

Impact in

    • COVID-19 epidemiological studies
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research

Papers in

Rui Min Foo

6 papers receiving 306 citations

Peers

Rui Min Foo
Comparison fields: 5 of 69
  • Modeling and Simulation 97
  • Infectious Diseases 173
  • Public Health, Environmental and Occupational Health 183
  • Neurology 17
  • Endocrinology 6
Replace John Otokoye Otshudiema with:
John Otokoye Otshudiema Democratic Republic of the Congo
Luca Tudor Giurgea United States
Benjamin Ignace Bodounrin Hounkpatin Benin
Hani Saad Al-Mugti Saudi Arabia
Perpetual Wanjiku Kenya
Thiyagarajan Karunakaran India
Juliana Cardoso Alves Brazil
Lubna Al Ariqi Egypt
Holly A. Bloomfield United States
Conan Zhao United States
Rui Min Foo relative to John Otokoye Otshudiema Democratic Republic of the Congo John Otokoye Otshudiema's profile →
Citations per field
00.5×2×4×6×8×
John Otokoye Otshudiema · 1×
Citations per year

Countries citing papers authored by Rui Min Foo

Since Specialization
Citations

This map shows the geographic impact of Rui Min 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 Rui Min Foo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Min Foo more than expected).

Fields of papers citing papers by Rui Min Foo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rui Min 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 Rui Min Foo. The network helps show where Rui Min Foo may publish in the future.

Co-authors

The 25 scholars most cited alongside Rui Min 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 Rui Min Foo Line = papers co-authored together Rui Min Foo links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2020284
2 201518
3 201314
4 20123
5 20193
6 20232

About Rui Min Foo

Rui Min Foo is a scholar working on Emergency Medicine, Public Health, Environmental and Occupational Health, Infectious Diseases, Modeling and Simulation and Endocrinology, having authored 6 papers that have together received 324 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (2 papers), Patient Safety and Medication Errors (1 paper), COVID-19 epidemiological studies (1 paper), Neonatal and Maternal Infections (1 paper), Infective Endocarditis Diagnosis and Management (1 paper), Infections and bacterial resistance (1 paper), Infectious Diseases and Tuberculosis (1 paper) and Orthopedic Infections and Treatments (1 paper). The work is most often cited by research in Modeling and Simulation (97 citations), Infectious Diseases (173 citations), Public Health, Environmental and Occupational Health (183 citations), Neurology (17 citations) and Endocrinology (6 citations). Rui Min Foo has collaborated with scholars based in Singapore. Frequent co-authors include Chun Kiat Lee, Benedict Yan, Chin Hong Ngai, Li Lin, Ying Xian Chua, Guan Sen Kew, Surinder Pada, Gabriel Zherong Yan, Lawrence T. Lam and Lee Ching Ng. Their work appears in journals such as Journal of Clinical Microbiology, The Lancet Infectious Diseases, Open Forum Infectious Diseases, Annals of the Academy of Medicine Singapore and The Asia Pacific Scholar.

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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