Takuma Kato
- Immunology top 1%
- T-cell and B-cell Immunology 34
- Immune Cell Function and Interaction 32
- Immunotherapy and Immune Responses 31
- Oncology top 5%
- CAR-T cell therapy research 11
- Microbiology top 5%
- Antimicrobial Peptides and Activities 10
- Immunology and Allergy top 10%
- Molecular Biology top 10%
- Chemical Synthesis and Analysis 14
- RNA Interference and Gene Delivery 13
- Advanced biosensing and bioanalysis techniques 9
- Co-authors
- Hiroshi ShikuHideo NariuchiKagemasa KuribayashiHiroyoshi NishikawaMasakazu TanakaMakoto ObaLloyd J. OldLinan Wang
- Cited by
- ImmunologyOncologyMicrobiology
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The Journal of Experimental Medicine (3 papers)Blood (2 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Takuma Kato
94 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 111
- Immunology 1.6k
- Oncology 770
- Microbiology 122
- Immunology and Allergy 82
- Molecular Biology 804
Countries citing papers authored by Takuma Kato
This map shows the geographic impact of Takuma Kato'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 Takuma Kato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuma Kato more than expected).
Fields of papers citing papers by Takuma Kato
This network shows the impact of papers produced by Takuma Kato. 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 Takuma Kato. The network helps show where Takuma Kato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takuma Kato, 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 | 11 | |
| 2 | 2023 | 14 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2020 | 2 | |
| 6 | 2019 | 2 | |
| 7 | 2019 | 45 | |
| 8 | 2013 | 13 | |
| 9 | 2012 | 43 | |
| 10 | 2010 | 106 | |
| 11 | 2009 | 13 | |
| 12 | 2008 | 66 | |
| 13 | 2005 | 85 | |
| 14 | 2005 | 111 | |
| 15 | Essential roles of tumor-derived helper T cell epitopes for an effective peptide-based tumor vaccine. | 2003 | 5 |
| 16 | 2001 | 32 | |
| 17 | 2001 | 8 | |
| 18 | 1995 | 7 | |
| 19 | 1994 | 92 | |
| 20 | 1989 | 3 |
About Takuma Kato
Takuma Kato is a scholar working on Immunology, Microbiology and Oncology, having authored 97 papers that have together received 2.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (34 papers), Immune Cell Function and Interaction (32 papers), Immunotherapy and Immune Responses (31 papers), Chemical Synthesis and Analysis (14 papers), RNA Interference and Gene Delivery (13 papers), CAR-T cell therapy research (11 papers), Antimicrobial Peptides and Activities (10 papers) and Advanced biosensing and bioanalysis techniques (9 papers). The work is most often cited by research in Immunology (1.6k citations), Oncology (770 citations) and Microbiology (122 citations). Takuma Kato has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hiroshi Shiku, Hideo Nariuchi, Kagemasa Kuribayashi, Hiroyoshi Nishikawa, Masakazu Tanaka, Makoto Oba, Lloyd J. Old, Linan Wang, Kanako Saito and Isao Tawara. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.
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.