Yoriko Saito
- Molecular Biology top 5%
- Hematology top 0.5%
- Immunology top 2%
- Oncology top 5%
- Genetics top 2%
- Co-authors
- Fumihiko IshikawaLeonard D. ShultzSatoshi TanakaTao ChengDavid DombkowskiDavid T. ScaddenShuichi TaniguchiNahoko Suzuki
- Topics
- Acute Myeloid Leukemia Research (9 papers)Hematopoietic Stem Cell Transplantation (6 papers)Immune Cell Function and Interaction (5 papers)
- Cited by
- HematologyAgingImmunology
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Yoriko Saito
30 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 1.4k
- Hematology 1.1k
- Immunology 995
- Oncology 894
- Genetics 357
Countries citing papers authored by Yoriko Saito
This map shows the geographic impact of Yoriko Saito'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 Yoriko Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoriko Saito more than expected).
Fields of papers citing papers by Yoriko Saito
This network shows the impact of papers produced by Yoriko Saito. 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 Yoriko Saito. The network helps show where Yoriko Saito may publish in the future.
Co-authorship network of co-authors of Yoriko Saito
This figure shows the co-authorship network connecting the top 25 collaborators of Yoriko Saito. A scholar is included among the top collaborators of Yoriko Saito 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 Yoriko Saito. Yoriko Saito 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 | 24 | |
| 3 | 12 | |
| 4 | 62 | |
| 5 | 302 | |
| 6 | 287 | |
| 7 | 322 | |
| 8 | 117 | |
| 9 | Chemotherapy-resistant human AML stem cells home to and engraft within the bone-marrow endosteal regionbreakdown → | 717 |
| 10 | 1 | |
| 11 | Stem-cell ageing modified by the cyclin-dependent kinase inhibitor p16INK4abreakdown → | 818 |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 81 | |
| 16 | 8 | |
| 17 | [Treatment of myelodysplastic syndrome using SM-108 in relation to stem cell kinetics]. | 3 |
| 18 | 2 | |
| 19 | 27 | |
| 20 | 1 |
About Yoriko Saito
Yoriko Saito is a scholar working on Hematology, Immunology and Genetics, having authored 30 papers that have together received 3.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Hematopoietic Stem Cell Transplantation (6 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Hematology (1.1k citations), Aging (98 citations) and Immunology (995 citations). Yoriko Saito has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Fumihiko Ishikawa, Leonard D. Shultz, Satoshi Tanaka, Tao Cheng, David Dombkowski, David T. Scadden, Shuichi Taniguchi, Nahoko Suzuki, Viktor Janzen and Heather E. Fleming. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Genes & Development.
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.