Mun-Keat Looi
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Healthcare Systems and Challenges 11
- Health and Conflict Studies 5
-
- SARS-CoV-2 and COVID-19 Research 17
- Co-authors
- Elisabeth Mahase (3 shared papers)Sebastian Maurer‐Stroh (1 shared paper)Gabriel Matthew Leung (1 shared paper)Janice Hopkins Tanne (1 shared paper)Wui‐Chiang Lee (1 shared paper)Bandar Al Knawy (1 shared paper)Alvin Qijia Chua (1 shared paper)Helena Legido-Quigley (1 shared paper)
- Journals
- BMJ (98 papers)
- Partner nations
- Saudi ArabiaTaiwanSingapore
In The Last Decade
Mun-Keat Looi
74 papers receiving 544 citations
Peers
Comparison fields: 5 of 102
- Modeling and Simulation 79
- Infectious Diseases 192
- Health 42
- Drug Discovery 1
- General Health Professions 78
Countries citing papers authored by Mun-Keat Looi
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
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 13 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.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 99 | |
| 2 | 2023 | 57 | |
| 3 | 2020 | 49 | |
| 4 | 2023 | 31 | |
| 5 | 2021 | 29 | |
| 6 | 2023 | 21 | |
| 7 | 2020 | 20 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 16 | |
| 10 | 2023 | 14 | |
| 11 | 2024 | 14 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 9 | |
| 14 | 2025 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2025 | 8 | |
| 20 | 2020 | 7 |
About Mun-Keat Looi
Mun-Keat Looi is a scholar working on General Health Professions, Infectious Diseases, Modeling and Simulation, Health and Public Health, Environmental and Occupational Health, having authored 98 papers that have together received 599 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (17 papers), Healthcare Systems and Challenges (11 papers), Vaccine Coverage and Hesitancy (9 papers), COVID-19 epidemiological studies (9 papers), Legal, Health, Environmental and COVID-19 Challenges (8 papers), Healthcare Policy and Management (6 papers), Health and Conflict Studies (5 papers) and Healthcare Regulation (5 papers). The work is most often cited by research in Modeling and Simulation (79 citations), Infectious Diseases (192 citations), Health (42 citations), Drug Discovery (1 citation) and General Health Professions (78 citations). Mun-Keat Looi has collaborated with scholars based in Saudi Arabia, Taiwan and Singapore. Frequent co-authors include Elisabeth Mahase, Sebastian Maurer‐Stroh, Gabriel Matthew Leung, Janice Hopkins Tanne, Wui‐Chiang Lee, Bandar Al Knawy, Alvin Qijia Chua, Helena Legido-Quigley, Will Stahl-Timmins and Fiona Godlee. 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.