Ichiro Aoki
Impact in
- Aging top 5%
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
- Immunology 24
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 5
- Co-authors
- Yoshiaki IshigatsuboMakoto KudoYoji NagashimaKiyotaka NagahamaYohei MiyagiMitsuko FuruyaAkira YamaguchiShoji Yamanaka
- Journals
- Pathology International (9 papers)The Journal of Immunology (6 papers)Human Pathology (3 papers)Arthritis Research & Therapy (3 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Ichiro Aoki
94 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 113
- Aging 50
- Immunology 547
- Immunology and Allergy 125
- Physiology 454
- Cancer Research 242
Countries citing papers authored by Ichiro Aoki
This map shows the geographic impact of Ichiro 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 Ichiro Aoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ichiro Aoki more than expected).
Fields of papers citing papers by Ichiro Aoki
This network shows the impact of papers produced by Ichiro 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 Ichiro Aoki. The network helps show where Ichiro Aoki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ichiro 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 | 2024 | 5 | |
| 2 | 2018 | 28 | |
| 3 | 2018 | 39 | |
| 4 | HER2 protein overexpression and gene amplification in upper urinary tract urothelial carcinoma-an analysis of 171 patients. | 2014 | 24 |
| 5 | 2013 | 28 | |
| 6 | 2012 | 24 | |
| 7 | 2012 | 41 | |
| 8 | 2009 | 10 | |
| 9 | 2008 | 54 | |
| 10 | 2008 | 105 | |
| 11 | 2007 | 49 | |
| 12 | 2001 | 27 | |
| 13 | 2000 | 18 | |
| 14 | 1997 | 7 | |
| 15 | 1995 | 1 | |
| 16 | 1994 | 13 | |
| 17 | 1994 | 1 | |
| 18 | 1992 | 7 | |
| 19 | The role of autoreactive T-cell hybridomas from autoimmune model mice. | 1988 | 4 |
| 20 | 1985 | 5 |
About Ichiro Aoki
Ichiro Aoki is a scholar working on Aging, Immunology, Oncology, Endocrine and Autonomic Systems and Immunology and Allergy, having authored 96 papers that have together received 2.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Renal cell carcinoma treatment (8 papers), Immune Cell Function and Interaction (7 papers), Lysosomal Storage Disorders Research (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Cellular transport and secretion (6 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Aging (50 citations), Immunology (547 citations), Immunology and Allergy (125 citations), Physiology (454 citations) and Cancer Research (242 citations). Ichiro Aoki has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yoshiaki Ishigatsubo, Makoto Kudo, Yoji Nagashima, Kiyotaka Nagahama, Yohei Miyagi, Mitsuko Furuya, Akira Yamaguchi, Shoji Yamanaka, Akihide Ryo and Yoshiaki Inayama. Their work appears in journals such as Pathology International, The Journal of Immunology, Human Pathology, Arthritis Research & Therapy and Journal of Biological Chemistry.
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.