Liling Chaw
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
-
- Antibiotic Use and Resistance
Papers in
-
- Tuberculosis Research and Epidemiology 4
- Viral Infections and Outbreaks Research 3
- SARS-CoV-2 and COVID-19 Research 2
-
- COVID-19 epidemiological studies 7
- Co-authors
- Justin Wong (9 shared papers)Lin Naing (8 shared papers)Mohammad Fathi Alikhan (4 shared papers)Wee Chian Koh (4 shared papers)Matthew Griffith (3 shared papers)Roberta Pastore (2 shared papers)Long Chiau Ming (6 shared papers)F. Merlin Franco (1 shared paper)
- Journals
- PLoS ONE (4 papers)International Journal of Environmental Research and Public Health (2 papers)Journal of Ethnobiology and Ethnomedicine (1 paper)BMC Public Health (1 paper)BMJ Open Respiratory Research (1 paper)
- Partner nations
- BruneiMalaysiaPhilippines
In The Last Decade
Liling Chaw
28 papers receiving 544 citations
Peers
Comparison fields: 5 of 94
- Modeling and Simulation 143
- Applied Microbiology and Biotechnology 32
- Infectious Diseases 160
- Epidemiology 109
- Health 20
Countries citing papers authored by Liling Chaw
This map shows the geographic impact of Liling Chaw'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 Liling Chaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liling Chaw more than expected).
Fields of papers citing papers by Liling Chaw
This network shows the impact of papers produced by Liling Chaw. 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 Liling Chaw. The network helps show where Liling Chaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Liling Chaw, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 143 | |
| 2 | 2020 | 53 | |
| 3 | 2020 | 40 | |
| 4 | 2016 | 37 | |
| 5 | 2020 | 35 | |
| 6 | 2016 | 30 | |
| 7 | 2020 | 29 | |
| 8 | 2020 | 25 | |
| 9 | 2020 | 23 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2022 | 15 | |
| 14 | 2022 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2022 | 9 | |
| 17 | 2019 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2021 | 4 |
About Liling Chaw
Liling Chaw is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Clinical Psychology and Oncology, having authored 29 papers that have together received 556 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Tuberculosis Research and Epidemiology (4 papers), COVID-19 and Mental Health (3 papers), Viral Infections and Outbreaks Research (3 papers), Child Nutrition and Water Access (2 papers), Cervical Cancer and HPV Research (2 papers), Global Maternal and Child Health (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Modeling and Simulation (143 citations), Applied Microbiology and Biotechnology (32 citations), Infectious Diseases (160 citations), Epidemiology (109 citations) and Health (20 citations). Liling Chaw has collaborated with scholars based in Brunei, Malaysia and Philippines. Frequent co-authors include Justin Wong, Lin Naing, Mohammad Fathi Alikhan, Wee Chian Koh, Matthew Griffith, Roberta Pastore, Long Chiau Ming, F. Merlin Franco, Taro Kamigaki and Hitoshi Oshitani. Their work appears in journals such as PLoS ONE, International Journal of Environmental Research and Public Health, Journal of Ethnobiology and Ethnomedicine, BMC Public Health and BMJ Open Respiratory Research.
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.