Meng Ling Moi
- Public Health, Environmental and Occupational Health top 1%
- Infectious Diseases top 1%
- Sociology and Political Science top 10%
- Epidemiology
- Modeling and Simulation top 2%
- Co-authors
- Tomohiko TakasakiIchiro KuraneAkira KotakiChang‐Kweng LimNozomi TakeshitaKouichi MoritaMasayuki SaijoShuzo Kanagawa
- Topics
- Mosquito-borne diseases and control (74 papers)Viral Infections and Vectors (63 papers)Malaria Research and Control (33 papers)
- Cited by
- Infectious DiseasesPublic Health, Environmental and Occupational HealthModeling and Simulation
- Partner nations
- JapanVietnamPhilippines
In The Last Decade
Meng Ling Moi
84 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 98
- Public Health, Environmental and Occupational Health 1.3k
- Infectious Diseases 1.2k
- Sociology and Political Science 171
- Epidemiology 171
- Modeling and Simulation 140
Countries citing papers authored by Meng Ling Moi
This map shows the geographic impact of Meng Ling Moi'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 Meng Ling Moi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Ling Moi more than expected).
Fields of papers citing papers by Meng Ling Moi
This network shows the impact of papers produced by Meng Ling Moi. 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 Meng Ling Moi. The network helps show where Meng Ling Moi may publish in the future.
Co-authorship network of co-authors of Meng Ling Moi
This figure shows the co-authorship network connecting the top 25 collaborators of Meng Ling Moi. A scholar is included among the top collaborators of Meng Ling Moi 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 Meng Ling Moi. Meng Ling Moi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 17 | |
| 11 | 10 | |
| 12 | 16 | |
| 13 | 9 | |
| 14 | 10 | |
| 15 | 29 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 10 | |
| 19 | 10 | |
| 20 | 9 |
About Meng Ling Moi
Meng Ling Moi is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 89 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (74 papers), Viral Infections and Vectors (63 papers) and Malaria Research and Control (33 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Public Health, Environmental and Occupational Health (1.3k citations) and Modeling and Simulation (140 citations). Meng Ling Moi has collaborated with scholars based in Japan, Vietnam and Philippines. Frequent co-authors include Tomohiko Takasaki, Ichiro Kurane, Akira Kotaki, Chang‐Kweng Lim, Nozomi Takeshita, Kouichi Morita, Masayuki Saijo, Shuzo Kanagawa, Yasuyuki Kato and Norio Ohmagari. Their work appears in journals such as Journal of Virology, Scientific Reports and The Journal of Infectious Diseases.
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.