Keiko Nagata
- Immunology top 1%
- Agronomy and Crop Science top 0.2%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Oncology top 5%
- Molecular Biology
- Co-authors
- Yorio HinumaS ShirakawaI MiyoshiMichikazu NakaiTomoko MatsumotoMasao HanaokaKazuhiko HayashiKazuo Sugamura
- Topics
- Polyomavirus and related diseases (15 papers)Viral-associated cancers and disorders (15 papers)Immune Cell Function and Interaction (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- JapanUnited KingdomIndonesia
In The Last Decade
Keiko Nagata
75 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Immunology 2.4k
- Agronomy and Crop Science 1.6k
- Ecology, Evolution, Behavior and Systematics 1.6k
- Oncology 659
- Molecular Biology 426
Countries citing papers authored by Keiko Nagata
This map shows the geographic impact of Keiko Nagata'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 Keiko Nagata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Nagata more than expected).
Fields of papers citing papers by Keiko Nagata
This network shows the impact of papers produced by Keiko Nagata. 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 Keiko Nagata. The network helps show where Keiko Nagata may publish in the future.
Co-authorship network of co-authors of Keiko Nagata
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Nagata. A scholar is included among the top collaborators of Keiko Nagata 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 Keiko Nagata. Keiko Nagata 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 | 5 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 16 | |
| 6 | 11 | |
| 7 | 10 | |
| 8 | 32 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 25 | |
| 14 | 18 | |
| 15 | 21 | |
| 16 | 6 | |
| 17 | 10 | |
| 18 | 46 | |
| 19 | 1 | |
| 20 | Effect of cortisone on the course of Schistosoma japonicum infection in mice, particularly on the hepatic tissue. | 2 |
About Keiko Nagata
Keiko Nagata is a scholar working on Oncology, Immunology and Immunology and Allergy, having authored 75 papers that have together received 3.5k indexed citations. Recurring topics across this work include Polyomavirus and related diseases (15 papers), Viral-associated cancers and disorders (15 papers) and Immune Cell Function and Interaction (11 papers). The work is most often cited by research in Agronomy and Crop Science (1.6k citations), Immunology (2.4k citations) and Ecology, Evolution, Behavior and Systematics (1.6k citations). Keiko Nagata has collaborated with scholars based in Japan, United Kingdom and Indonesia. Frequent co-authors include Yorio Hinuma, S Shirakawa, I Miyoshi, Michikazu Nakai, Tomoko Matsumoto, Masao Hanaoka, Kazuhiko Hayashi, Kazuo Sugamura, Kiyoshi Ohtani and Masako Kato. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.