Kanako Shimizu
- Immunology top 0.5%
- Immune Cell Function and Interaction 51
- Immunotherapy and Immune Responses 45
- T-cell and B-cell Immunology 31
- Immune cells in cancer 4
- Oncology top 1%
- CAR-T cell therapy research 26
- Cancer Immunotherapy and Biomarkers 6
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 3
- Molecular Biology top 10%
- Virology top 10%
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- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Shin‐ichiro FujiiRalph M. SteinmanC. SmithLaura C. BonifazMitchell KronenbergMadhav V. DhodapkarMasaru TaniguchiMatthew D. Geller
- Cited by
- ImmunologyOncologyHematology
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Communications (1 paper)The Journal of Experimental Medicine (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kanako Shimizu
70 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 3.3k
- Oncology 1.8k
- Hematology 263
- Molecular Biology 742
- Virology 35
Countries citing papers authored by Kanako Shimizu
This map shows the geographic impact of Kanako Shimizu'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 Kanako Shimizu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanako Shimizu more than expected).
Fields of papers citing papers by Kanako Shimizu
This network shows the impact of papers produced by Kanako Shimizu. 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 Kanako Shimizu. The network helps show where Kanako Shimizu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kanako Shimizu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 13 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 13 | |
| 7 | 2020 | 22 | |
| 8 | 2020 | 50 | |
| 9 | 2019 | 33 | |
| 10 | 2018 | 14 | |
| 11 | 2016 | 101 | |
| 12 | 2016 | 33 | |
| 13 | 2012 | 32 | |
| 14 | 2010 | 7 | |
| 15 | 2009 | 30 | |
| 16 | 2009 | 15 | |
| 17 | 2008 | 12 | |
| 18 | 2007 | 86 | |
| 19 | 2006 | 29 | |
| 20 | 2003 | 331 |
About Kanako Shimizu
Kanako Shimizu is a scholar working on Immunology, Oncology and Hematology, having authored 70 papers that have together received 4.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (51 papers), Immunotherapy and Immune Responses (45 papers), T-cell and B-cell Immunology (31 papers), CAR-T cell therapy research (26 papers), Cancer Immunotherapy and Biomarkers (6 papers), Immune cells in cancer (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Immunology (3.3k citations), Oncology (1.8k citations) and Hematology (263 citations). Kanako Shimizu has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shin‐ichiro Fujii, Ralph M. Steinman, C. Smith, Laura C. Bonifaz, Mitchell Kronenberg, Madhav V. Dhodapkar, Masaru Taniguchi, Matthew D. Geller, Satoru Yamasaki and Hiroaki Hemmi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental 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.