Misaki Matsuo
- Immunology
- Molecular Biology
- Agronomy and Crop Science top 10%
- Ecology, Evolution, Behavior and Systematics
- Infectious Diseases
- Co-authors
- Yorifumi SatouPaola MiyazatoHiroo KatsuyaBenjy J.Y. TanSaiful IslamJumpei ItoShinjiro HinoMitsuyoshi Nakao
- Topics
- T-cell and Retrovirus Studies (8 papers)Animal Disease Management and Epidemiology (7 papers)Vector-Borne Animal Diseases (6 papers)
- Journals
- Nature CommunicationsGenes & DevelopmentSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Misaki Matsuo
19 papers receiving 197 citations
Peers
Comparison fields: 5 of 46
- Immunology 92
- Molecular Biology 74
- Agronomy and Crop Science 62
- Ecology, Evolution, Behavior and Systematics 51
- Infectious Diseases 37
Countries citing papers authored by Misaki Matsuo
This map shows the geographic impact of Misaki Matsuo'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 Misaki Matsuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Misaki Matsuo more than expected).
Fields of papers citing papers by Misaki Matsuo
This network shows the impact of papers produced by Misaki Matsuo. 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 Misaki Matsuo. The network helps show where Misaki Matsuo may publish in the future.
Co-authorship network of co-authors of Misaki Matsuo
This figure shows the co-authorship network connecting the top 25 collaborators of Misaki Matsuo. A scholar is included among the top collaborators of Misaki Matsuo 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 Misaki Matsuo. Misaki Matsuo 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 | 0 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 24 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 26 | |
| 14 | 33 | |
| 15 | 0 | |
| 16 | 6 | |
| 17 | 26 | |
| 18 | 22 | |
| 19 | Prenatal diagnosis of a Japanese family at risk for Tay-Sachs disease. Application of a fluorescent competitive allele-specific polymerase chain reaction (PCR) method. | 2 |
| 20 | [Detection of HIV-1 in plasma samples using microplate hybridization after RT-PCR]. | 1 |
About Misaki Matsuo
Misaki Matsuo is a scholar working on Virology, Agronomy and Crop Science and Immunology, having authored 21 papers that have together received 199 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (8 papers), Animal Disease Management and Epidemiology (7 papers) and Vector-Borne Animal Diseases (6 papers). The work is most often cited by research in Virology (36 citations), Agronomy and Crop Science (62 citations) and Immunology (92 citations). Misaki Matsuo has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Yorifumi Satou, Paola Miyazato, Hiroo Katsuya, Benjy J.Y. Tan, Saiful Islam, Jumpei Ito, Shinjiro Hino, Mitsuyoshi Nakao, Yuta Ito and Yoshiyuki Hari. Their work appears in journals such as Nature Communications, Genes & Development and SHILAP Revista de lepidopterología.
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.