Masayuki Ota
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases top 10%
- Electrical and Electronic Engineering
- Applied Microbiology and Biotechnology top 5%
- Materials Chemistry
- Co-authors
- Daisuke HobaraShin-ichiro ImabayashiKatsumi NikiTakashi KakiuchiNorio OhmagariKayoko HayakawaKei YamamotoSatoshi Kutsuna
- Topics
- Mosquito-borne diseases and control (3 papers)Malaria Research and Control (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
- Cited by
- Applied Microbiology and BiotechnologyInfectious DiseasesPublic Health, Environmental and Occupational Health
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Masayuki Ota
14 papers receiving 461 citations
Peers
Comparison fields: 5 of 77
- Public Health, Environmental and Occupational Health 228
- Infectious Diseases 181
- Electrical and Electronic Engineering 144
- Applied Microbiology and Biotechnology 57
- Materials Chemistry 54
Countries citing papers authored by Masayuki Ota
This map shows the geographic impact of Masayuki Ota'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 Masayuki Ota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Ota more than expected).
Fields of papers citing papers by Masayuki Ota
This network shows the impact of papers produced by Masayuki Ota. 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 Masayuki Ota. The network helps show where Masayuki Ota may publish in the future.
Co-authorship network of co-authors of Masayuki Ota
This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Ota. A scholar is included among the top collaborators of Masayuki Ota 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 Masayuki Ota. Masayuki Ota 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 36 | |
| 12 | 30 | |
| 13 | 116 | |
| 14 | 115 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 146 | |
| 19 | Clinical efficacy of MK-733 (Simvastatin) in long-term treatment with familial hypercholesterolemia. | 1 |
| 20 | 6 |
About Masayuki Ota
Masayuki Ota is a scholar working on Applied Microbiology and Biotechnology, Otorhinolaryngology and Infectious Diseases, having authored 24 papers that have together received 471 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (3 papers), Malaria Research and Control (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (57 citations), Infectious Diseases (181 citations) and Public Health, Environmental and Occupational Health (228 citations). Masayuki Ota has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Daisuke Hobara, Shin-ichiro Imabayashi, Katsumi Niki, Takashi Kakiuchi, Norio Ohmagari, Kayoko Hayakawa, Kei Yamamoto, Satoshi Kutsuna, Junwa Kunimatsu and Meng Ling Moi. Their work appears in journals such as PLoS ONE, FEBS Letters and Emerging 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.