Mun-Keat Looi

544 citations
65 papers · 300 · h-index 9

Impact in

Papers in

Mun-Keat Looi

50 papers receiving 279 citations

Peers

Mun-Keat Looi
Comparison fields: 5 of 80
  • Health Informatics 11
  • Infectious Diseases 98
  • Modeling and Simulation 23
  • Health 20
  • Virology 8
Replace Diana Duong with:
Diana Duong United States
Graciela J. Balbin‐Ramon United States
Jacinta I‐Pei Chen Singapore
Alexis Maillard France
Hao Yi Tan Singapore
Jorge L. Maguiña Peru
Pearleen Ee Yong Chua Singapore
Olivia Price Australia
Xiaohui Wang China
Angela M. Rose United States
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Citations per field
00.5×2.7×
Diana Duong · 1×
Citations per year

Countries citing papers authored by Mun-Keat Looi

Since Specialization
Citations

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

Fields of papers citing papers by Mun-Keat Looi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mun-Keat Looi. 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 Mun-Keat Looi. The network helps show where Mun-Keat Looi may publish in the future.

Co-authors

The 4 scholars most cited alongside Mun-Keat Looi, 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 Mun-Keat Looi Line = papers co-authored together Mun-Keat Looi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202348
2 202328
3 202323
4 202118
5 202313
6 202313
7 202413
8 202310
9 20238
10 20238
11 20228
12 20217
13 20257
14 20236
15 20236
16 20226
17 20235
18 20255
19 20234
20 20234

About Mun-Keat Looi

Mun-Keat Looi is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Organizational Behavior and Human Resource Management, Infectious Diseases and Molecular Biology, having authored 65 papers that have together received 300 indexed citations. Recurring topics across this work include Global Public Health Policies and Epidemiology (7 papers), Healthcare Systems and Challenges (6 papers), Health and Conflict Studies (4 papers), Science, Research, and Medicine (3 papers), Bacillus and Francisella bacterial research (3 papers), COVID-19 diagnosis using AI (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Pharmaceutical industry and healthcare (2 papers). The work is most often cited by research in Health Informatics (11 citations), Infectious Diseases (98 citations), Modeling and Simulation (23 citations), Health (20 citations) and Virology (8 citations). Mun-Keat Looi has collaborated with scholars based in Canada. Frequent co-authors include Elisabeth Mahase, Kamran Abbasi, Anna Volkmer and Helen Macdonald. Their work appears in journals such as BMJ.

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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