Wey Wen Lim
- Epidemiology
- Infectious Diseases
- Modeling and Simulation top 5%
- Molecular Biology
- Applied Microbiology and Biotechnology top 5%
- Co-authors
- Benjamin J. CowlingMalik PeirisPeng WuJessica Y. WongGM LeungEric J. Tchetgen TchetgenWH SetoRanawaka A. P. M. Perera
- Topics
- COVID-19 epidemiological studies (11 papers)Influenza Virus Research Studies (8 papers)SARS-CoV-2 and COVID-19 Research (6 papers)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Wey Wen Lim
19 papers receiving 272 citations
Peers
Comparison fields: 5 of 73
- Epidemiology 116
- Infectious Diseases 94
- Modeling and Simulation 50
- Molecular Biology 33
- Applied Microbiology and Biotechnology 32
Countries citing papers authored by Wey Wen Lim
This map shows the geographic impact of Wey Wen Lim'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 Wey Wen Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wey Wen Lim more than expected).
Fields of papers citing papers by Wey Wen Lim
This network shows the impact of papers produced by Wey Wen Lim. 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 Wey Wen Lim. The network helps show where Wey Wen Lim may publish in the future.
Co-authorship network of co-authors of Wey Wen Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Wey Wen Lim. A scholar is included among the top collaborators of Wey Wen Lim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wey Wen Lim. Wey Wen Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 31 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 23 | |
| 12 | 11 | |
| 13 | 5 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | 42 | |
| 17 | 45 | |
| 18 | Effect of influenza on cardiorespiratory and all-cause mortality in Hong Kong, Singapore and Guangzhou. | 6 |
| 19 | Optimising antimicrobial prescription in hospitals by introducing an antimicrobial stewardship programme in Hong Kong: consensus statement. | 20 |
| 20 | 63 |
About Wey Wen Lim
Wey Wen Lim is a scholar working on Modeling and Simulation, Applied Microbiology and Biotechnology and Health, having authored 21 papers that have together received 278 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (11 papers), Influenza Virus Research Studies (8 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (32 citations), Modeling and Simulation (50 citations) and Infectious Diseases (94 citations). Wey Wen Lim has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Benjamin J. Cowling, Malik Peiris, Peng Wu, Jessica Y. Wong, GM Leung, Eric J. Tchetgen Tchetgen, WH Seto, Ranawaka A. P. M. Perera, Vicky J. Fang and Tak Mao Chan. Their work appears in journals such as Nature Medicine, Nature Communications and PLoS ONE.
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.