Naoto Hirano
- Immunology top 1%
- Immune Cell Function and Interaction 36
- Immunotherapy and Immune Responses 29
- T-cell and B-cell Immunology 29
- Oncology top 1%
- CAR-T cell therapy research 41
- Immunology and Allergy top 1%
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 7
- Molecular Biology top 5%
- vaccines and immunoinformatics approaches 4
-
- Virus-based gene therapy research 10
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Marcus O. ButlerLee M. NadlerHisamaru HiraiRyuichi SakaiSeishi OgawaTingxi GuoY YazakiMark Anczurowski
- Journals
- New England Journal of Medicine (1 paper)Journal of Biological Chemistry (3 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- CanadaJapanUnited States
In The Last Decade
Naoto Hirano
86 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Immunology 2.1k
- Oncology 1.9k
- Immunology and Allergy 383
- Hematology 575
- Molecular Biology 1.7k
Countries citing papers authored by Naoto Hirano
This map shows the geographic impact of Naoto Hirano'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 Naoto Hirano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoto Hirano more than expected).
Fields of papers citing papers by Naoto Hirano
This network shows the impact of papers produced by Naoto Hirano. 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 Naoto Hirano. The network helps show where Naoto Hirano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naoto Hirano, 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 | 8 | |
| 2 | 2023 | 7 | |
| 3 | 2022 | 2 | |
| 4 | 2020 | 126 | |
| 5 | 2019 | 110 | |
| 6 | 2018 | 56 | |
| 7 | 2018 | 38 | |
| 8 | 2017 | 44 | |
| 9 | 2016 | 168 | |
| 10 | 2015 | 29 | |
| 11 | 2015 | 37 | |
| 12 | 2012 | 10 | |
| 13 | 2011 | 26 | |
| 14 | 2001 | 12 | |
| 15 | 2000 | 114 | |
| 16 | Distinct autoantigens in American and Japanese immune-mediated aplastic anemia. | 2000 | 2 |
| 17 | 2000 | 10 | |
| 18 | 1997 | 7 | |
| 19 | 1996 | 40 | |
| 20 | 1993 | 2 |
About Naoto Hirano
Naoto Hirano is a scholar working on Immunology, Oncology and Hematology, having authored 87 papers that have together received 4.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (41 papers), Immune Cell Function and Interaction (36 papers), Immunotherapy and Immune Responses (29 papers), T-cell and B-cell Immunology (29 papers), Virus-based gene therapy research (10 papers), Hematopoietic Stem Cell Transplantation (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and vaccines and immunoinformatics approaches (4 papers). The work is most often cited by research in Immunology (2.1k citations), Oncology (1.9k citations) and Immunology and Allergy (383 citations). Naoto Hirano has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include Marcus O. Butler, Lee M. Nadler, Hisamaru Hirai, Ryuichi Sakai, Seishi Ogawa, Tingxi Guo, Y Yazaki, Mark Anczurowski, Kayoko Saso and Yuki Kagoya. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.