Ken Sato

1.4k total citations · 1 hit paper
43 papers, 1.0k citations indexed

About

Ken Sato is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Ken Sato has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Hematology, 13 papers in Immunology and 10 papers in Molecular Biology. Recurrent topics in Ken Sato's work include Acute Myeloid Leukemia Research (10 papers), Immune Cell Function and Interaction (8 papers) and Eosinophilic Disorders and Syndromes (6 papers). Ken Sato is often cited by papers focused on Acute Myeloid Leukemia Research (10 papers), Immune Cell Function and Interaction (8 papers) and Eosinophilic Disorders and Syndromes (6 papers). Ken Sato collaborates with scholars based in Japan, United States and Sweden. Ken Sato's co-authors include Kazuo Motoyoshi, Fumihiko Kimura, Masato Tanaka, Shigekazu Nagata, Masao Mizuki, Kyosuke Haze, Norio Nakamura, Takashi Suda, Shigetoshi Ohga and Kiyohiko Hatake and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Blood.

In The Last Decade

Ken Sato

41 papers receiving 1.0k citations

Hit Papers

Fas ligand in human serum 1996 2026 2006 2016 1996 200 400 600

Peers

Ken Sato
Lomon So United States
Dale R. Taylor United Kingdom
Suzanne Skoda‐Smith United States
Jane M. Turbov United States
Mercedesz Balázs United States
Ken Sato
Citations per year, relative to Ken Sato Ken Sato (= 1×) peers Tomoko Hata

Countries citing papers authored by Ken Sato

Since Specialization
Citations

This map shows the geographic impact of Ken Sato'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 Ken Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Sato more than expected).

Fields of papers citing papers by Ken Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Sato. 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 Ken Sato. The network helps show where Ken Sato may publish in the future.

Co-authorship network of co-authors of Ken Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Sato. A scholar is included among the top collaborators of Ken Sato 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 Ken Sato. Ken Sato 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.
Sato, Ken, et al.. (2019). [Philadelphia chromosome-positive acute lymphoblastic leukemia with basophilic blast features].. PubMed. 60(7). 773–778. 1 indexed citations
2.
Watanabe, Junichi, Ken Sato, Takaaki Maekawa, et al.. (2018). CBL mutation and MEFV single-nucleotide variant are important genetic predictors of tumor reduction in glucocorticoid-treated patients with chronic myelomonocytic leukemia. International Journal of Hematology. 108(1). 47–57.
3.
Maekawa, Takaaki, Yosuke Okada, Ayako Kobayashi, et al.. (2018). Low mucosal-associated invariant T-cell number in peripheral blood of patients with immune thrombocytopenia and their response to prednisolone. PLoS ONE. 13(11). e0207149–e0207149. 7 indexed citations
4.
Maekawa, Takaaki, S Nagao, Yosuke Okada, et al.. (2017). Myeloproliferative leukemia protein activation directly induces fibrocyte differentiation to cause myelofibrosis. Leukemia. 31(12). 2709–2716. 17 indexed citations
5.
Kobayashi, Ayako, Shinichi Kobayashi, Kosuke Miyai, et al.. (2017). TAK1 inhibition ameliorates survival from graft-versus-host disease in an allogeneic murine marrow transplantation model. International Journal of Hematology. 107(2). 222–229. 3 indexed citations
6.
Watanabe, Junichi, Ken Sato, Takaaki Maekawa, et al.. (2014). Elevated total iron-binding capacity as a predictor of response to deferasirox therapy in the setting of chronic iron overload. International Journal of Hematology. 100(3). 254–259. 1 indexed citations
7.
Sakamoto, Kana, Hideki Nakasone, Ko Sasaki, et al.. (2013). Prednisone versus high-dose dexamethasone for untreated primary immune thrombocytopenia. A retrospective study of the Japan Hematology & Oncology Clinical Study Group. Journal of Thrombosis and Thrombolysis. 37(3). 279–286. 20 indexed citations
8.
Otsuki, Hideo, Keiichi Ito, Ken Sato, et al.. (2013). Malignant lymphoma of mucosa-associated lymphoid tissue involving the renal pelvis and the entire ureter: A case report. Oncology Letters. 5(5). 1625–1628. 5 indexed citations
9.
Kako, Shinichi, Hiroko Yamagami, Ken Sato, et al.. (2009). Successful treatment of young-onset adult T cell leukemia/lymphoma and preceding chronic refractory eczema and corneal injury by allogeneic hematopoietic stem cell transplantation. International Journal of Hematology. 90(3). 397–401. 4 indexed citations
10.
Kobayashi, Susumu, Fumihiko Kimura, Takashi Ikeda, et al.. (2009). BCR–ABL promotes neutrophil differentiation in the chronic phase of chronic myeloid leukemia by downregulating c-Jun expression. Leukemia. 23(9). 1622–1627. 13 indexed citations
11.
Asai‐Sato, Mikiko, Yoji Nagashima, Etsuko Miyagi, et al.. (2005). Prolactin inhibits apoptosis of ovarian carcinoma cells induced by serum starvation or cisplatin treatment. International Journal of Cancer. 115(4). 539–544. 25 indexed citations
12.
Kimura, Fumihiko, Shinichi Kobayashi, Hiroki Torikai, et al.. (2005). Myeloid/NK cell precursor acute leukemia lost both CD13 and CD33 at first diagnosis. Leukemia Research. 30(6). 761–763. 6 indexed citations
13.
Ikeda, Takashi, Fumihiko Kimura, Yoshiyuki Nakata, et al.. (2005). Triterpenoid CDDO-Im downregulates PML/RARα expression in acute promyelocytic leukemia cells. Cell Death and Differentiation. 12(5). 523–531. 15 indexed citations
14.
Higuchi, Masanobu & Ken Sato. (2004). A Small Collection of Mosses from Kunashir Island, the Kuriles. 30(3). 103–107. 2 indexed citations
15.
Kimura, Fumihiko, Shinya Suzu, Yukitsugu Nakamura, et al.. (2003). Cloning and Characterization of a Novel RING-B-box-Coiled-coil Protein with Apoptotic Function. Journal of Biological Chemistry. 278(27). 25046–25054. 30 indexed citations
16.
Tanaka, Takeshi, et al.. (2001). Detection and typing of TT virus DNA genotype by the PCR-RFLP method. Molecular and Cellular Probes. 15(4). 195–200. 10 indexed citations
17.
Ota, Jun, Ken Sato, Naoki Wakimoto, et al.. (2000). Association of Cbl with Fms and p85 in response to macrophage colony‐stimulating factor. FEBS Letters. 466(1). 96–100. 7 indexed citations
18.
Ota, Jun, Ken Sato, Naoki Wakimoto, et al.. (1998). Association of CrkL with STAT5 in Hematopoietic Cells Stimulated by Granulocyte–Macrophage Colony-Stimulating Factor or Erythropoietin. Biochemical and Biophysical Research Communications. 252(3). 779–786. 20 indexed citations
19.
Tanaka, Masato, Takashi Suda, Kyosuke Haze, et al.. (1996). Fas ligand in human serum. Nature Medicine. 2(3). 317–322. 601 indexed citations breakdown →
20.
Kimura, Fumihiko, Ken Sato, Naoki Wakimoto, et al.. (1996). Cyclic change of cytokines in a patient with cyclic thrombocytopenia. British Journal of Haematology. 94(1). 171–174. 31 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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