Mamoru Harada
- Immunology top 1%
- Immunotherapy and Immune Responses 91
- Immune Cell Function and Interaction 68
- T-cell and B-cell Immunology 45
- Immune cells in cancer 11
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 38
- CAR-T cell therapy research 21
- Hematology top 5%
- Molecular Biology top 10%
- vaccines and immunoinformatics approaches 16
- RNA Interference and Gene Delivery 8
- Cancer Research top 10%
- Co-authors
- Nanae HarashimaKyogo ItohMasanori NoguchiKoji TamadaKikuo NomotoSatoko MatsuedaYuichi IidaAkira Yamada
- Cited by
- ImmunologyOncologyHematology
- Journals
- Cancer Immunology Immunotherapy (15 papers)Cancer Science (12 papers)Oncology Reports (10 papers)
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Mamoru Harada
162 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 114
- Immunology 2.0k
- Oncology 1.4k
- Hematology 320
- Molecular Biology 1.2k
- Cancer Research 235
Countries citing papers authored by Mamoru Harada
This map shows the geographic impact of Mamoru 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 Mamoru Harada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamoru Harada more than expected).
Fields of papers citing papers by Mamoru Harada
This network shows the impact of papers produced by Mamoru 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 Mamoru Harada. The network helps show where Mamoru Harada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mamoru 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2019 | 86 | |
| 3 | 2015 | 19 | |
| 4 | 2013 | 38 | |
| 5 | 2011 | 58 | |
| 6 | 2009 | 31 | |
| 7 | 2008 | 15 | |
| 8 | 2007 | 22 | |
| 9 | 2007 | 38 | |
| 10 | 2006 | 6 | |
| 11 | 2006 | 4 | |
| 12 | 2004 | 15 | |
| 13 | 2003 | 30 | |
| 14 | 2002 | 2 | |
| 15 | 2002 | 37 | |
| 16 | 2002 | 6 | |
| 17 | 1998 | 22 | |
| 18 | 1997 | 61 | |
| 19 | 1997 | 18 | |
| 20 | 1992 | 11 |
About Mamoru Harada
Mamoru Harada is a scholar working on Immunology, Oncology, Hematology, Molecular Biology and Cancer Research, having authored 165 papers that have together received 3.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (91 papers), Immune Cell Function and Interaction (68 papers), T-cell and B-cell Immunology (45 papers), Cancer Immunotherapy and Biomarkers (38 papers), CAR-T cell therapy research (21 papers), vaccines and immunoinformatics approaches (16 papers), Immune cells in cancer (11 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Immunology (2.0k citations), Oncology (1.4k citations), Hematology (320 citations), Molecular Biology (1.2k citations) and Cancer Research (235 citations). Mamoru Harada has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Nanae Harashima, Kyogo Itoh, Masanori Noguchi, Koji Tamada, Kikuo Nomoto, Satoko Matsueda, Yuichi Iida, Akira Yamada, Ryosuke Tanino and Touko Inao. Their work appears in journals such as Cancer Immunology Immunotherapy, Cancer Science, Oncology Reports, International Journal of Oncology and Journal of Immunotherapy.
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.