Mika Saito
- Infectious Diseases top 10%
- Public Health, Environmental and Occupational Health top 10%
- Molecular Biology
- General Economics, Econometrics and Finance top 5%
- Economics and Econometrics top 10%
- Co-authors
- Yoshihiro MakinoT. FukunagaMasayuki TadanoVirat SirisanthanaNiwat ManeekarnNopporn SittisombutMitsuhiko AsakawaChristian Henn
- Topics
- Global trade and economics (9 papers)Mosquito-borne diseases and control (9 papers)Viral Infections and Vectors (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Microbiology and BiotechnologyEuropean Journal of Pharmacology
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Mika Saito
42 papers receiving 649 citations
Peers
Comparison fields: 5 of 103
- Infectious Diseases 219
- Public Health, Environmental and Occupational Health 194
- Molecular Biology 155
- General Economics, Econometrics and Finance 140
- Economics and Econometrics 99
Countries citing papers authored by Mika Saito
This map shows the geographic impact of Mika Saito'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 Mika Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mika Saito more than expected).
Fields of papers citing papers by Mika Saito
This network shows the impact of papers produced by Mika Saito. 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 Mika Saito. The network helps show where Mika Saito may publish in the future.
Co-authorship network of co-authors of Mika Saito
This figure shows the co-authorship network connecting the top 25 collaborators of Mika Saito. A scholar is included among the top collaborators of Mika Saito 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 Mika Saito. Mika Saito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 44 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 30 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 34 | |
| 16 | 113 | |
| 17 | 47 | |
| 18 | [原著］Seroepidemiological study of arbovirus infections in Khammouane Province, Lao PDR | 3 |
| 19 | Arbovirus Infections in Pilot Areas in Laos | 7 |
| 20 | 48 |
About Mika Saito
Mika Saito is a scholar working on General Economics, Econometrics and Finance, Parasitology and Infectious Diseases, having authored 45 papers that have together received 689 indexed citations. Recurring topics across this work include Global trade and economics (9 papers), Mosquito-borne diseases and control (9 papers) and Viral Infections and Vectors (7 papers). The work is most often cited by research in General Economics, Econometrics and Finance (140 citations), Infectious Diseases (219 citations) and Parasitology (58 citations). Mika Saito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yoshihiro Makino, T. Fukunaga, Masayuki Tadano, Virat Sirisanthana, Niwat Maneekarn, Nopporn Sittisombut, Mitsuhiko Asakawa, Christian Henn, Shigeaki Harayama and Christian Saborowski. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Microbiology and Biotechnology and European Journal of Pharmacology.
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.