Sayuri Yamazaki
- Immunology top 0.05%
- Oncology top 1%
- Molecular Biology top 5%
- Genetics top 2%
- Epidemiology top 5%
- Co-authors
- Shimon SakaguchiJun ShimizuTakeshi TakahashiRalph M. SteinmanNoriko SakaguchiKristin V. TarbellTakashi NomuraTomoyuki Tagami
- Topics
- T-cell and B-cell Immunology (37 papers)Immune Cell Function and Interaction (36 papers)Immunotherapy and Immune Responses (30 papers)
- Cited by
- ImmunologyOncologyTransplantation
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Sayuri Yamazaki
51 papers receiving 12.1k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Immunology 10.7k
- Oncology 2.7k
- Molecular Biology 1.3k
- Genetics 970
- Epidemiology 499
Countries citing papers authored by Sayuri Yamazaki
This map shows the geographic impact of Sayuri Yamazaki'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 Sayuri Yamazaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayuri Yamazaki more than expected).
Fields of papers citing papers by Sayuri Yamazaki
This network shows the impact of papers produced by Sayuri Yamazaki. 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 Sayuri Yamazaki. The network helps show where Sayuri Yamazaki may publish in the future.
Co-authorship network of co-authors of Sayuri Yamazaki
This figure shows the co-authorship network connecting the top 25 collaborators of Sayuri Yamazaki. A scholar is included among the top collaborators of Sayuri Yamazaki 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 Sayuri Yamazaki. Sayuri Yamazaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 18 | |
| 5 | 15 | |
| 6 | 50 | |
| 7 | 39 | |
| 8 | 83 | |
| 9 | 201 | |
| 10 | 55 | |
| 11 | 2 | |
| 12 | 335 | |
| 13 | Differential Antigen Processing by Dendritic Cell Subsets in Vivobreakdown → | 1105 |
| 14 | 161 | |
| 15 | 59 | |
| 16 | 102 | |
| 17 | Treatment of advanced tumors with agonistic anti-GITR mAb and its effects on tumor-infiltrating Foxp3 + CD25 + CD4 + regulatory T cellsbreakdown → | 409 |
| 18 | Direct Expansion of Functional CD25+ CD4+ Regulatory T Cells by Antigen-processing Dendritic Cellsbreakdown → | 697 |
| 19 | Altered thymic T-cell selection due to a mutation of the ZAP-70 gene causes autoimmune arthritis in micebreakdown → | 647 |
| 20 | 48 |
About Sayuri Yamazaki
Sayuri Yamazaki is a scholar working on Immunology, Dermatology and Otorhinolaryngology, having authored 53 papers that have together received 12.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (37 papers), Immune Cell Function and Interaction (36 papers) and Immunotherapy and Immune Responses (30 papers). The work is most often cited by research in Immunology (10.7k citations), Oncology (2.7k citations) and Transplantation (165 citations). Sayuri Yamazaki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shimon Sakaguchi, Jun Shimizu, Takeshi Takahashi, Ralph M. Steinman, Noriko Sakaguchi, Kristin V. Tarbell, Takashi Nomura, Tomoyuki Tagami, Yasumasa Ishida and Kayo Inaba. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.