Toshiaki Ohteki
- Immunology top 0.1%
- Molecular Biology top 5%
- Oncology top 2%
- Epidemiology top 5%
- Genetics top 5%
- Co-authors
- H. Robson MacDonaldPamela S. OhashiNobuyuki OnaiTaku SatoHiroyuki TezukaToru AboShigeo KoyasuKatsuo Kumagai
- Topics
- Immune Cell Function and Interaction (70 papers)T-cell and B-cell Immunology (58 papers)Immunotherapy and Immune Responses (40 papers)
- Cited by
- ImmunologyOncologyHematology
- Partner nations
- JapanCanadaSwitzerland
In The Last Decade
Toshiaki Ohteki
115 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Immunology 6.5k
- Molecular Biology 2.1k
- Oncology 1.3k
- Epidemiology 790
- Genetics 569
Countries citing papers authored by Toshiaki Ohteki
This map shows the geographic impact of Toshiaki Ohteki'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 Toshiaki Ohteki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshiaki Ohteki more than expected).
Fields of papers citing papers by Toshiaki Ohteki
This network shows the impact of papers produced by Toshiaki Ohteki. 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 Toshiaki Ohteki. The network helps show where Toshiaki Ohteki may publish in the future.
Co-authorship network of co-authors of Toshiaki Ohteki
This figure shows the co-authorship network connecting the top 25 collaborators of Toshiaki Ohteki. A scholar is included among the top collaborators of Toshiaki Ohteki 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 Toshiaki Ohteki. Toshiaki Ohteki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 13 | |
| 5 | 25 | |
| 6 | 14 | |
| 7 | 258 | |
| 8 | 38 | |
| 9 | 63 | |
| 10 | 219 | |
| 11 | 34 | |
| 12 | 17 | |
| 13 | IL-15-Dependent Cross-Talk between Conventional and Plasmacytoid Dendritic Cells is Essential for CPG-Induced Immune Activation. [Emerging Theories of Host Defense. The 10th Meeting Hirosaki International Forum of Medical Science. Communication Center Hirosaki University School of Medicine. Hirosaki on November 21-22, 2006] | 2 |
| 14 | 63 | |
| 15 | 50 | |
| 16 | 11 | |
| 17 | 131 | |
| 18 | 42 | |
| 19 | 300 | |
| 20 | 135 |
About Toshiaki Ohteki
Toshiaki Ohteki is a scholar working on Immunology, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 115 papers that have together received 8.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (70 papers), T-cell and B-cell Immunology (58 papers) and Immunotherapy and Immune Responses (40 papers). The work is most often cited by research in Immunology (6.5k citations), Oncology (1.3k citations) and Hematology (505 citations). Toshiaki Ohteki has collaborated with scholars based in Japan, Canada and Switzerland. Frequent co-authors include H. Robson MacDonald, Pamela S. Ohashi, Nobuyuki Onai, Taku Sato, Hiroyuki Tezuka, Toru Abo, Shigeo Koyasu, Katsuo Kumagai, Shinichiro Seki and Martin F. Bachmann. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.