T Hamaoka
- Immunology top 5%
- Oncology top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Immunology and Allergy top 5%
- Co-authors
- H FujiwaraK UtsumiS OhzekiHidekazu TakiuchiMasayasu MuramatsuTsuyoshi TadaJuichiro ShimizuH Senoh
- Topics
- Monoclonal and Polyclonal Antibodies Research (8 papers)T-cell and B-cell Immunology (6 papers)CAR-T cell therapy research (5 papers)
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
T Hamaoka
26 papers receiving 967 citations
Peers
Comparison fields: 5 of 77
- Immunology 628
- Oncology 252
- Molecular Biology 243
- Radiology, Nuclear Medicine and Imaging 177
- Immunology and Allergy 167
Countries citing papers authored by T Hamaoka
This map shows the geographic impact of T Hamaoka'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 T Hamaoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Hamaoka more than expected).
Fields of papers citing papers by T Hamaoka
This network shows the impact of papers produced by T Hamaoka. 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 T Hamaoka. The network helps show where T Hamaoka may publish in the future.
Co-authorship network of co-authors of T Hamaoka
This figure shows the co-authorship network connecting the top 25 collaborators of T Hamaoka. A scholar is included among the top collaborators of T Hamaoka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T Hamaoka. T Hamaoka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 98 | |
| 3 | 78 | |
| 4 | Modulation of B-cell abnormalities in lupus-prone (NZB x NZW)F1 mice by normal bone marrow-derived B-lineage cells. | 4 |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 50 | |
| 9 | 17 | |
| 10 | 17 | |
| 11 | 22 | |
| 12 | 226 | |
| 13 | 6 | |
| 14 | Prevention of suppression of alloreactive capacity following intravenous injection of neuraminidase-treated allogeneic cells by co-injection of agents competing for asialoglycoprotein receptor. | 2 |
| 15 | 59 | |
| 16 | 231 | |
| 17 | 11 | |
| 18 | B cell growth and differentiation activity of a purified T cell-replacing factor (TRF) molecule from B151-T cell hybridoma. | 5 |
| 19 | 17 | |
| 20 | Antibody production in mice: IV. The suppressive effect of anti-hapten and anti-carrier antibodies on the recognition of hapten-carrier conjugate in the secondary response | 21 |
About T Hamaoka
T Hamaoka is a scholar working on Immunology and Allergy, Immunology and Oncology, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), T-cell and B-cell Immunology (6 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Immunology (628 citations), Immunology and Allergy (167 citations) and Oncology (252 citations). T Hamaoka has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include H Fujiwara, K Utsumi, S Ohzeki, Hidekazu Takiuchi, Masayasu Muramatsu, Tsuyoshi Tada, Juichiro Shimizu, H Senoh, Nobuo Seki and Yuji Sudo. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Neuroscience and The Journal of 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.