Ryoji Ito
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Oncology top 5%
- CAR-T cell therapy research
Papers in
- Immunology 45
- Immune Cell Function and Interaction 21
- T-cell and B-cell Immunology 21
- Immunotherapy and Immune Responses 20
- IL-33, ST2, and ILC Pathways 5
- Hematology 15
- Hematopoietic Stem Cell Transplantation 14
- Co-authors
- Mamoru ItoIkumi KatanoTakeshi TakahashiTomoyuki OguraJitsuo HigakiHironobu HamadaKenji KawaiTsutomu Kamisako
- Journals
- Frontiers in Immunology (5 papers)Immunology Letters (5 papers)Scientific Reports (4 papers)Experimental Hematology (4 papers)International Immunology (4 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Ryoji Ito
96 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Immunology 1.0k
- Oncology 647
- Hematology 253
- Biotechnology 116
- Virology 59
Countries citing papers authored by Ryoji Ito
This map shows the geographic impact of Ryoji Ito'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 Ryoji Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryoji Ito more than expected).
Fields of papers citing papers by Ryoji Ito
This network shows the impact of papers produced by Ryoji Ito. 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 Ryoji Ito. The network helps show where Ryoji Ito may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ryoji Ito, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 6 | |
| 13 | 2019 | 14 | |
| 14 | 2018 | 24 | |
| 15 | A Conceptual Framework for the Dynamics of Call Service Center Offshoring | 2016 | 1 |
| 16 | Identification of Optimal Offshoring Strategies for Small and Medium Japanese Consumer Service Companies | 2014 | 1 |
| 17 | 2012 | 1 | |
| 18 | 2011 | 2 | |
| 19 | 2009 | 1 | |
| 20 | 2003 | 89 |
About Ryoji Ito
Ryoji Ito is a scholar working on Immunology, Hematology, Oncology, Immunology and Allergy and Pulmonary and Respiratory Medicine, having authored 102 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (21 papers), Immunotherapy and Immune Responses (20 papers), Hematopoietic Stem Cell Transplantation (14 papers), CAR-T cell therapy research (11 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Virus-based gene therapy research (6 papers) and IL-33, ST2, and ILC Pathways (5 papers). The work is most often cited by research in Immunology (1.0k citations), Oncology (647 citations), Hematology (253 citations), Biotechnology (116 citations) and Virology (59 citations). Ryoji Ito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mamoru Ito, Ikumi Katano, Takeshi Takahashi, Tomoyuki Ogura, Jitsuo Higaki, Hironobu Hamada, Kenji Kawai, Tsutomu Kamisako, Seigo Miyoshi and Hiroshi Suemizu. Their work appears in journals such as Frontiers in Immunology, Immunology Letters, Scientific Reports, Experimental Hematology and International Immunology.
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.