Yui Harada
Impact in
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 17
- Immunotherapy and Immune Responses 11
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Oncology 12
- CAR-T cell therapy research 7
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Yoshikazu Yonemitsu (22 shared papers)Mamoru Hasegawa (8 shared papers)Yasuji Ueda (6 shared papers)Yoshihiko Maehara (7 shared papers)Satoru Saito (6 shared papers)Kumi Yoshida (5 shared papers)Yosuke Morodomi (6 shared papers)Takenori Ochiai (1 shared paper)
- Journals
- Molecular Therapy (2 papers)Anticancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)SpringerPlus (1 paper)Frontiers in bioscience (1 paper)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Yui Harada
24 papers receiving 318 citations
Peers
Comparison fields: 5 of 61
- Immunology 135
- Oncology 136
- Cancer Research 34
- Pulmonary and Respiratory Medicine 71
- Genetics 58
Countries citing papers authored by Yui Harada
This map shows the geographic impact of Yui Harada'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 Yui Harada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yui Harada more than expected).
Fields of papers citing papers by Yui Harada
This network shows the impact of papers produced by Yui Harada. 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 Yui Harada. The network helps show where Yui Harada may publish in the future.
Co-authors
The 25 scholars most cited alongside Yui Harada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 64 | |
| 2 | 2009 | 31 | |
| 3 | 2016 | 26 | |
| 4 | 2011 | 21 | |
| 5 | 2012 | 21 | |
| 6 | 2010 | 17 | |
| 7 | 2010 | 16 | |
| 8 | 2014 | 14 | |
| 9 | 2011 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2016 | 11 | |
| 12 | 2013 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2020 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2009 | 7 | |
| 19 | 2011 | 5 | |
| 20 | 2011 | 4 |
About Yui Harada
Yui Harada is a scholar working on Immunology, Oncology, Molecular Biology, Genetics and Biotechnology, having authored 26 papers that have together received 324 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), CAR-T cell therapy research (7 papers), Virus-based gene therapy research (5 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer Research and Treatments (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Immunology (135 citations), Oncology (136 citations), Cancer Research (34 citations), Pulmonary and Respiratory Medicine (71 citations) and Genetics (58 citations). Yui Harada has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Yoshikazu Yonemitsu, Mamoru Hasegawa, Yasuji Ueda, Yoshihiko Maehara, Satoru Saito, Kumi Yoshida, Yosuke Morodomi, Takenori Ochiai, Hiroaki Kinoh and Hirohiko Tsujii. Their work appears in journals such as Molecular Therapy, Anticancer Research, Molecular Cancer Therapeutics, SpringerPlus and Frontiers in bioscience.
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.