Shoji Saito

1.6k total citations
123 papers, 1.0k citations indexed

About

Shoji Saito is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Shoji Saito has authored 123 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Oncology and 20 papers in Hematology. Recurrent topics in Shoji Saito's work include Hematopoietic Stem Cell Transplantation (12 papers), CAR-T cell therapy research (11 papers) and Environmental Toxicology and Ecotoxicology (9 papers). Shoji Saito is often cited by papers focused on Hematopoietic Stem Cell Transplantation (12 papers), CAR-T cell therapy research (11 papers) and Environmental Toxicology and Ecotoxicology (9 papers). Shoji Saito collaborates with scholars based in Japan, Australia and United States. Shoji Saito's co-authors include Heiner Niemann, Yozo Nakazawa, Miyuki Tanaka, N. Strelchenko, Kazuo Sakashita, Kenichi Koike, Ryu Yanagisawa, Koichi Ishikawa, Kazuyuki Matsuda and Koichi Hirabayashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Scientific Reports.

In The Last Decade

Shoji Saito

113 papers receiving 979 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shoji Saito Japan 17 363 241 221 128 127 123 1.0k
Gilles M. Leclerc United States 17 733 2.0× 108 0.4× 128 0.6× 74 0.6× 51 0.4× 36 1.1k
Constantin Adams Germany 14 1.0k 2.9× 96 0.4× 161 0.7× 89 0.7× 145 1.1× 15 2.0k
Nathan E. Hellman United States 12 632 1.7× 173 0.7× 301 1.4× 355 2.8× 95 0.7× 13 1.5k
Edgar C. Lucey United States 24 350 1.0× 115 0.5× 151 0.7× 49 0.4× 176 1.4× 61 1.9k
Silvia Canaider Italy 16 804 2.2× 132 0.5× 115 0.5× 42 0.3× 165 1.3× 49 1.4k
Zdeněk Lojda Czechia 14 538 1.5× 155 0.6× 125 0.6× 34 0.3× 109 0.9× 28 1.3k
Stephane R. Gross United Kingdom 21 941 2.6× 119 0.5× 95 0.4× 100 0.8× 180 1.4× 36 1.8k
Iúri Drumond Louro Brazil 21 890 2.5× 173 0.7× 278 1.3× 96 0.8× 51 0.4× 103 1.5k
David I. Hoar Canada 21 647 1.8× 116 0.5× 336 1.5× 126 1.0× 165 1.3× 57 1.3k
Zhiyong Qiu China 22 843 2.3× 163 0.7× 162 0.7× 46 0.4× 434 3.4× 67 1.7k

Countries citing papers authored by Shoji Saito

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Shoji Saito

This figure shows the co-authorship network connecting the top 25 collaborators of Shoji Saito. A scholar is included among the top collaborators of Shoji 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 Shoji Saito. Shoji Saito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sakamoto, Kenichi, Y. Maruyama, Koichi Hirabayashi, et al.. (2025). Ruxolitinib for preventing relapse of Epstein–Barr virus‐associated hemophagocytic lymphohistiocytosis. Pediatrics International. 67(1). e70032–e70032. 1 indexed citations
2.
Kato, Shota, Kentaro Nakashima, Genki Yamato, et al.. (2024). Azacitidine treatment for myeloid leukemia associated with Down syndrome: A nationwide retrospective study in Japan. Pediatric Blood & Cancer. 71(10). e31244–e31244.
3.
4.
Saito, Shoji & Yozo Nakazawa. (2024). CAR-T cell therapy in AML: recent progress and future perspectives. International Journal of Hematology. 120(4). 455–466. 11 indexed citations
5.
6.
Yoshimura, Hidekane, et al.. (2023). A case of hematohidrosis successfully treated with a beta‐blocker. SHILAP Revista de lepidopterología. 11(6). e7337–e7337. 3 indexed citations
7.
Uchida, Eriko, Shoji Saito, Koichi Hirabayashi, et al.. (2022). Skin and soft tissue infections in adolescent chronic myeloid leukemia under dasatinib treatment. Pediatric Blood & Cancer. 69(8). e29714–e29714. 4 indexed citations
8.
Yanagisawa, Ryu, Takashi Kurata, Shoji Saito, et al.. (2022). Relationship between allergic transfusion reactions and allergic predisposition among pediatric patients with hematological/oncological disease. Transfusion. 62(5). 1035–1044. 4 indexed citations
9.
Saito, Shoji, et al.. (2022). Non-viral inducible caspase 9 mRNA delivery using lipid nanoparticles against breast cancer: An in vitro study. Biochemical and Biophysical Research Communications. 635. 144–153. 7 indexed citations
10.
Hirabayashi, Koichi, et al.. (2021). Impact of acute kidney injury on overall survival in children and young adults undergoing allogeneic hematopoietic stem cell transplantation. Pediatric Blood & Cancer. 68(9). e29167–e29167. 3 indexed citations
11.
Yagyu, Shigeki, et al.. (2021). A lymphodepleted non‐human primate model for the assessment of acute on‐target and off‐tumor toxicity of human chimeric antigen receptor‐T cells. Clinical & Translational Immunology. 10(6). e1291–e1291. 12 indexed citations
12.
13.
Yagyu, Shigeki, Aiko Hasegawa, Miyuki Tanaka, et al.. (2020). Autologous non‐human primate model for safety assessment of piggyBac transposon‐mediated chimeric antigen receptor T cells on granulocyte–macrophage colony‐stimulating factor receptor. Clinical & Translational Immunology. 9(11). e1207–e1207. 9 indexed citations
14.
Saito, Shoji, et al.. (2020). Thyroid tumor surveillance using ultrasound in childhood cancer survivors. Pediatrics International. 62(5). 562–568. 1 indexed citations
15.
Hirabayashi, Koichi, Takashi Kurata, Shoji Saito, et al.. (2019). Ovarian function after allogeneic hematopoietic stem cell transplantation in children and young adults given 8‐Gy total body irradiation‐based reduced‐toxicity myeloablative conditioning. Pediatric Transplantation. 23(3). e13372–e13372. 6 indexed citations
16.
Saito, Shoji, Yoshihiko Katsuyama, Koichi Hirabayashi, et al.. (2018). Successful induction of therapeutic urinary concentration by intravenous ganciclovir and oral valganciclovir with remission of adenoviral hemorrhagic cystitis after cord blood transplantation. Pediatric Transplantation. 22(6). e13241–e13241. 2 indexed citations
17.
Yabuki, Masashi, Shoji Saito, Tomoyuki Watanabe, et al.. (1996). Research to develop a predicting system of mammalian subacute toxicity (3) construction of a predictive toxicokinetics model. Chemosphere. 33(12). 2441–2468. 6 indexed citations
18.
Saito, Shoji, et al.. (1974). Swimming depth of large sized albacore in the South Pacific Ocean, 2: Vertical distribution of albacore catch by an improved vertical long-line. Bulletin of the Japanese Society of Scientific Fisheries. 2 indexed citations
19.
Saito, Shoji, et al.. (1972). On the Oceanographic Condition for Albacore in the Western South Pacific Ocean. NIPPON SUISAN GAKKAISHI. 38(12). 1341–1349. 1 indexed citations
20.
Saito, Shoji, et al.. (1970). Swimming Depths of Large Sized Albacore in the South Pacific Ocean-I. NIPPON SUISAN GAKKAISHI. 36(6). 578–584. 8 indexed citations

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.

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