Naoko Aoki
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Inflammation biomarkers and pathways
- interferon and immune responses
- Immune Response and Inflammation
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 45
- Immunotherapy and Immune Responses 20
- Immune Cell Function and Interaction 18
- Inflammation biomarkers and pathways 7
- Immune Response and Inflammation 6
- Immune cells in cancer 6
- T-cell and B-cell Immunology 5
- Co-authors
- Hiroya KobayashiShoji KimuraKensuke OikawaEsteban CelisYasuaki HarabuchiToshihiro NagatoKeisuke SatoTakumi Kumai
- Journals
- Cancer Immunology Immunotherapy (7 papers)The Journal of Immunology (5 papers)Clinical Cancer Research (3 papers)Journal of Translational Medicine (3 papers)OncoImmunology (3 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Naoko Aoki
67 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Immunology 1.2k
- Oncology 569
- Immunology and Allergy 71
- Pathology and Forensic Medicine 163
- Infectious Diseases 159
Countries citing papers authored by Naoko Aoki
This map shows the geographic impact of Naoko Aoki'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 Naoko Aoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoko Aoki more than expected).
Fields of papers citing papers by Naoko Aoki
This network shows the impact of papers produced by Naoko Aoki. 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 Naoko Aoki. The network helps show where Naoko Aoki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naoko Aoki, 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 | 2021 | 44 | |
| 2 | 2017 | 21 | |
| 3 | 2016 | 28 | |
| 4 | 2015 | 14 | |
| 5 | 2014 | 19 | |
| 6 | 2011 | 27 | |
| 7 | 2011 | 6 | |
| 8 | 2008 | 35 | |
| 9 | 2008 | 7 | |
| 10 | 2007 | 0 | |
| 11 | 2007 | 28 | |
| 12 | 2007 | 17 | |
| 13 | 2007 | 34 | |
| 14 | 2006 | 30 | |
| 15 | 2005 | 30 | |
| 16 | 2003 | 27 | |
| 17 | 2001 | 12 | |
| 18 | 2000 | 37 | |
| 19 | 2000 | 33 | |
| 20 | 1992 | 1 |
About Naoko Aoki
Naoko Aoki is a scholar working on Immunology, Immunology and Allergy, Oncology, Hepatology and Genetics, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (20 papers), Immune Cell Function and Interaction (18 papers), CAR-T cell therapy research (8 papers), Inflammation biomarkers and pathways (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Immune Response and Inflammation (6 papers), Immune cells in cancer (6 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (569 citations), Immunology and Allergy (71 citations), Pathology and Forensic Medicine (163 citations) and Infectious Diseases (159 citations). Naoko Aoki has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hiroya Kobayashi, Shoji Kimura, Kensuke Oikawa, Esteban Celis, Yasuaki Harabuchi, Toshihiro Nagato, Keisuke Sato, Takumi Kumai, Zhou Xing and Masatoshi Tateno. Their work appears in journals such as Cancer Immunology Immunotherapy, The Journal of Immunology, Clinical Cancer Research, Journal of Translational Medicine and OncoImmunology.
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.