Takuya Osada
- Immunology top 1%
- Immunotherapy and Immune Responses 42
- Immune Cell Function and Interaction 20
- T-cell and B-cell Immunology 14
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers 16
- CAR-T cell therapy research 12
- HER2/EGFR in Cancer Research 10
- Cancer Research top 1%
- Molecular Biology top 2%
- Hepatology top 5%
-
- Monoclonal and Polyclonal Antibodies Research 22
-
- Virus-based gene therapy research 9
- Co-authors
- H. Kim LyerlyMichael A. MorseTimothy M. ClayAmy HobeikaHirokazu NagawaNelson H. TsunoAlain DelcayreDonna Niedzwiecki
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Clinical Cancer Research (7 papers)Cancer Research (7 papers)Journal of Clinical Oncology (6 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Takuya Osada
114 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Immunology 2.1k
- Oncology 2.0k
- Cancer Research 1.1k
- Molecular Biology 2.7k
- Hepatology 202
Countries citing papers authored by Takuya Osada
This map shows the geographic impact of Takuya Osada'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 Takuya Osada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Osada more than expected).
Fields of papers citing papers by Takuya Osada
This network shows the impact of papers produced by Takuya Osada. 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 Takuya Osada. The network helps show where Takuya Osada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takuya Osada, 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 | 6 | |
| 2 | 2020 | 18 | |
| 3 | 2019 | 54 | |
| 4 | 2018 | 15 | |
| 5 | 2017 | 14 | |
| 6 | 2017 | 41 | |
| 7 | 2014 | 17 | |
| 8 | 2013 | 113 | |
| 9 | 2012 | 31 | |
| 10 | 2012 | 78 | |
| 11 | 2011 | 112 | |
| 12 | 2011 | 221 | |
| 13 | 2011 | 111 | |
| 14 | 2010 | 32 | |
| 15 | 2010 | 21 | |
| 16 | 2009 | 19 | |
| 17 | 2009 | 61 | |
| 18 | 2007 | 56 | |
| 19 | 2007 | 1 | |
| 20 | 2000 | 43 |
About Takuya Osada
Takuya Osada is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Cancer Research, having authored 117 papers that have together received 5.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (42 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), Immune Cell Function and Interaction (20 papers), Cancer Immunotherapy and Biomarkers (16 papers), T-cell and B-cell Immunology (14 papers), CAR-T cell therapy research (12 papers), HER2/EGFR in Cancer Research (10 papers) and Virus-based gene therapy research (9 papers). The work is most often cited by research in Immunology (2.1k citations), Oncology (2.0k citations), Cancer Research (1.1k citations), Molecular Biology (2.7k citations) and Hepatology (202 citations). Takuya Osada has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include H. Kim Lyerly, Michael A. Morse, Timothy M. Clay, Amy Hobeika, Hirokazu Nagawa, Nelson H. Tsuno, Alain Delcayre, Donna Niedzwiecki, Jean‐Bernard Le Pecq and Joji Kitayama. Their work appears in journals such as Clinical Cancer Research, Cancer Research, Journal of Clinical Oncology, Cancer Immunology Immunotherapy and Journal for ImmunoTherapy of Cancer.
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.