Shoji Saito
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation 12
- Acute Myeloid Leukemia Research 6
- Oncology top 10%
- CAR-T cell therapy research 11
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 6
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- Immune Cell Function and Interaction 5
- Reproductive Medicine top 10%
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- Environmental Toxicology and Ecotoxicology 9
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- Acute Lymphoblastic Leukemia research 9
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- Marine and fisheries research 7
- Co-authors
- Heiner NiemannYozo NakazawaMiyuki TanakaN. StrelchenkoKazuo SakashitaKenichi KoikeKoichi IshikawaRyu Yanagisawa
- Cited by
- HematologyOncologyGenetics
- Journals
- Chemosphere (8 papers)Pediatric Blood & Cancer (7 papers)International Journal of Hematology (5 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Shoji Saito
113 papers receiving 979 citations
Peers
Comparison fields: 5 of 119
- Hematology 128
- Oncology 241
- Genetics 221
- Immunology 127
- Reproductive Medicine 50
Countries citing papers authored by Shoji Saito
This map shows the geographic impact of Shoji 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 Shoji Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoji Saito more than expected).
Fields of papers citing papers by Shoji Saito
This network shows the impact of papers produced by Shoji 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 Shoji Saito. The network helps show where Shoji Saito may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shoji Saito, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 11 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 21 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 3 | |
| 16 | 2019 | 6 | |
| 17 | 2018 | 2 | |
| 18 | 1976 | 0 | |
| 19 | Swimming depth of large sized albacore in the South Pacific Ocean, 2: Vertical distribution of albacore catch by an improved vertical long-line | 1974 | 2 |
| 20 | 1972 | 1 |
About Shoji Saito
Shoji Saito is a scholar working on Hematology, Microbiology and Genetics, having authored 123 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (12 papers), CAR-T cell therapy research (11 papers), Environmental Toxicology and Ecotoxicology (9 papers), Acute Lymphoblastic Leukemia research (9 papers), Marine and fisheries research (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Acute Myeloid Leukemia Research (6 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Hematology (128 citations), Oncology (241 citations) and Genetics (221 citations). Shoji Saito has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Heiner Niemann, Yozo Nakazawa, Miyuki Tanaka, N. Strelchenko, Kazuo Sakashita, Kenichi Koike, Koichi Ishikawa, Ryu Yanagisawa, Kazuyuki Matsuda and Koichi Hirabayashi. Their work appears in journals such as Chemosphere, Pediatric Blood & Cancer, International Journal of Hematology, Theriogenology and Blood.
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.