Kisato Nosaka
- Immunology top 1%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Agronomy and Crop Science top 0.2%
- Molecular Biology
- Oncology top 5%
- Co-authors
- Masao MatsuokaJun‐ichirou YasunagaHiroaki MitsuyaTatsunori SakaiYuko TaniguchiMichiyuki MaedaYorifumi SatouAtae Utsunomiya
- Topics
- T-cell and Retrovirus Studies (48 papers)Vector-Borne Animal Diseases (35 papers)Animal Disease Management and Epidemiology (24 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Clinical Oncology
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kisato Nosaka
83 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Immunology 2.1k
- Ecology, Evolution, Behavior and Systematics 1.3k
- Agronomy and Crop Science 1.2k
- Molecular Biology 643
- Oncology 457
Countries citing papers authored by Kisato Nosaka
This map shows the geographic impact of Kisato Nosaka'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 Kisato Nosaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kisato Nosaka more than expected).
Fields of papers citing papers by Kisato Nosaka
This network shows the impact of papers produced by Kisato Nosaka. 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 Kisato Nosaka. The network helps show where Kisato Nosaka may publish in the future.
Co-authorship network of co-authors of Kisato Nosaka
This figure shows the co-authorship network connecting the top 25 collaborators of Kisato Nosaka. A scholar is included among the top collaborators of Kisato Nosaka 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 Kisato Nosaka. Kisato Nosaka 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 | 0 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 24 | |
| 12 | 13 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 19 | |
| 16 | 22 | |
| 17 | 48 | |
| 18 | 97 | |
| 19 | 110 | |
| 20 | 128 |
About Kisato Nosaka
Kisato Nosaka is a scholar working on Immunology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics, having authored 89 papers that have together received 3.0k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (48 papers), Vector-Borne Animal Diseases (35 papers) and Animal Disease Management and Epidemiology (24 papers). The work is most often cited by research in Agronomy and Crop Science (1.2k citations), Immunology (2.1k citations) and Ecology, Evolution, Behavior and Systematics (1.3k citations). Kisato Nosaka has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masao Matsuoka, Jun‐ichirou Yasunaga, Hiroaki Mitsuya, Tatsunori Sakai, Yuko Taniguchi, Michiyuki Maeda, Yorifumi Satou, Atae Utsunomiya, Yuetsu Tanaka and Kensei Tobinai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.
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.