Misako Matsumoto
- Immunology top 0.05%
- Molecular Biology top 1%
- Epidemiology top 0.5%
- Cancer Research top 1%
- Oncology top 2%
- Co-authors
- Tsukasa SeyaHiroyuki OshiumiKenji FunamiTakashi AkazawaKumao ToyoshimaHiroaki ShimeMasashi ShingaiMoeko Miyashita
- Topics
- Immune Response and Inflammation (134 papers)interferon and immune responses (73 papers)Immunotherapy and Immune Responses (62 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Medicine
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Misako Matsumoto
289 papers receiving 15.5k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Immunology 11.5k
- Molecular Biology 4.0k
- Epidemiology 2.7k
- Cancer Research 1.7k
- Oncology 1.7k
Countries citing papers authored by Misako Matsumoto
This map shows the geographic impact of Misako Matsumoto'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 Misako Matsumoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Misako Matsumoto more than expected).
Fields of papers citing papers by Misako Matsumoto
This network shows the impact of papers produced by Misako Matsumoto. 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 Misako Matsumoto. The network helps show where Misako Matsumoto may publish in the future.
Co-authorship network of co-authors of Misako Matsumoto
This figure shows the co-authorship network connecting the top 25 collaborators of Misako Matsumoto. A scholar is included among the top collaborators of Misako Matsumoto 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 Misako Matsumoto. Misako Matsumoto 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 | 17 | |
| 3 | 76 | |
| 4 | [Chronic hepatitis C virus infection attenuates host antiviral innate immune response]. | 2 |
| 5 | 240 | |
| 6 | ISOLATION AND CHARACTERIZATION OF RNA APTAMERS SPECIFIC FOR THE HUMAN TOLL-LIKE RECEPTOR 3 ECTODOMAIN | 1 |
| 7 | 74 | |
| 8 | 53 | |
| 9 | 41 | |
| 10 | 78 | |
| 11 | 107 | |
| 12 | 53 | |
| 13 | 14 | |
| 14 | 98 | |
| 15 | 27 | |
| 16 | 23 | |
| 17 | Subcellular Localization of Toll-Like Receptor 3 in Human Dendritic Cellsbreakdown → | 576 |
| 18 | 106 | |
| 19 | 24 | |
| 20 | 71 |
About Misako Matsumoto
Misako Matsumoto is a scholar working on Immunology, Microbiology and Hematology, having authored 292 papers that have together received 15.7k indexed citations. Recurring topics across this work include Immune Response and Inflammation (134 papers), interferon and immune responses (73 papers) and Immunotherapy and Immune Responses (62 papers). The work is most often cited by research in Immunology (11.5k citations), Microbiology (1.1k citations) and Cancer Research (1.7k citations). Misako Matsumoto has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Tsukasa Seya, Hiroyuki Oshiumi, Kenji Funami, Takashi Akazawa, Kumao Toyoshima, Hiroaki Shime, Masashi Shingai, Moeko Miyashita, Tadayuki Tsujita and Megumi Tatematsu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
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.