Tohru Sakura

868 total citations
32 papers, 579 citations indexed

About

Tohru Sakura is a scholar working on Hematology, Oncology and Immunology. According to data from OpenAlex, Tohru Sakura has authored 32 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hematology, 7 papers in Oncology and 7 papers in Immunology. Recurrent topics in Tohru Sakura's work include Acute Myeloid Leukemia Research (12 papers), Hematopoietic Stem Cell Transplantation (8 papers) and Eosinophilic Disorders and Syndromes (4 papers). Tohru Sakura is often cited by papers focused on Acute Myeloid Leukemia Research (12 papers), Hematopoietic Stem Cell Transplantation (8 papers) and Eosinophilic Disorders and Syndromes (4 papers). Tohru Sakura collaborates with scholars based in Japan, United States and Italy. Tohru Sakura's co-authors include Shuichi Miyawaki, Takafumi Matsushima, Hirokazu Murakami, Yoshinobu Kanda, Heiwa Kanamori, Norifumi Tsukamoto, Yoshihisa Nojima, Takehiko Mori, Akira Yokota and Morio Sawamura and has published in prestigious journals such as Blood, British Journal of Haematology and Haematologica.

In The Last Decade

Tohru Sakura

32 papers receiving 571 citations

Peers

Tohru Sakura
Tohru Sakura
Citations per year, relative to Tohru Sakura Tohru Sakura (= 1×) peers Yoshiko Matsuhashi

Countries citing papers authored by Tohru Sakura

Since Specialization
Citations

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

Fields of papers citing papers by Tohru Sakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tohru Sakura

This figure shows the co-authorship network connecting the top 25 collaborators of Tohru Sakura. A scholar is included among the top collaborators of Tohru Sakura 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 Tohru Sakura. Tohru Sakura 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.
Tsukamoto, Norifumi, Akihiko Yokohama, Tetsuya Higuchi, et al.. (2018). Tumor long-axis diameter and SUVmax predict long-term responders in 90Y-ibritumomab tiuxetan monotherapy. International Journal of Hematology. 109(1). 91–97. 2 indexed citations
2.
Kawamura, Koji, Junya Kanda, Shigeo Fuji, et al.. (2017). Impact of the presence of HLA 1-locus mismatch and the use of low-dose antithymocyte globulin in unrelated bone marrow transplantation. Bone Marrow Transplantation. 52(10). 1390–1398. 16 indexed citations
3.
Mitsui, Takeki, Hiromi Koiso, Hirotaka Nakahashi, et al.. (2015). SF3B1 and IGHV gene mutation status predict poor prognosis in Japanese CLL patients. International Journal of Hematology. 103(2). 219–226. 6 indexed citations
4.
Kurosawa, Saiko, Shuichi Miyawaki, T Yamaguchi, et al.. (2013). Prognosis of patients with core binding factor acute myeloid leukemia after first relapse. Haematologica. 98(10). 1525–1531. 23 indexed citations
5.
Yokohama, Akihiko, Hirotaka Nakahashi, Takeki Mitsui, et al.. (2011). TCL1A gene involvement in T-cell prolymphocytic leukemia in Japanese patients. International Journal of Hematology. 95(1). 77–85. 5 indexed citations
6.
Yanada, Masamitsu, Saiko Kurosawa, Takuhiro Yamaguchi, et al.. (2011). Prognosis of acute myeloid leukemia harboring monosomal karyotype in patients treated with or without allogeneic hematopoietic cell transplantation after achieving complete remission. Haematologica. 97(6). 915–918. 26 indexed citations
7.
Nakaseko, Chiaki, Emiko Sakaida, Miwa Sakai, et al.. (2011). Incidence, risk factors and outcomes of bronchiolitis obliterans after allogeneic stem cell transplantation. International Journal of Hematology. 93(3). 375–382. 45 indexed citations
8.
Kurosawa, Saiko, T Yamaguchi, Naoyuki Uchida, et al.. (2010). Prognostic factors and outcomes of adult patients with acute myeloid leukemia after first relapse. Haematologica. 95(11). 1857–1864. 85 indexed citations
9.
Kanda, Yoshinobu, Takuya Yamashita, Takehiko Mori, et al.. (2009). A randomized controlled trial of plasma real-time PCR and antigenemia assay for monitoring CMV infection after unrelated BMT. Bone Marrow Transplantation. 45(8). 1325–1332. 31 indexed citations
10.
Oshima, Kumi, Yoshinobu Kanda, Takuya Yamashita, et al.. (2008). Central Nervous System Relapse of Leukemia after Allogeneic Hematopoietic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 14(10). 1100–1107. 52 indexed citations
11.
Uchiumi, Hideki, Takafumi Matsushima, Arito Yamane, et al.. (2007). Prevalence and Clinical Characteristics of Acute Myeloid Leukemia Associated with Disseminated Intravascular Coagulation. International Journal of Hematology. 86(2). 137–142. 53 indexed citations
12.
Fujimaki, Katsumichi, Takehiko Mori, Aiko Kida, et al.. (2006). Human Herpesvirus 6 Meningoencephalitis in Allogeneic Hematopoietic Stem Cell Transplant Recipients. International Journal of Hematology. 84(5). 432–437. 40 indexed citations
13.
Kanegane, Hirokazu, Noriko Doki, Tohru Sakura, et al.. (2005). X-Linked Lymphoproliferative Disease in an Adult. International Journal of Hematology. 82(1). 55–58. 6 indexed citations
14.
Karasawa, Masamitsu, Arito Yamane, Takeki Mitsui, et al.. (2005). Long‐term persistence of host cells detected by X‐chromosome gene‐based assay in patients undergoing gender‐mismatched hematopoietic stem cell transplantation. American Journal of Hematology. 80(2). 101–105. 3 indexed citations
15.
Matsushima, Takafumi, Hiroshi Handa, Akihiko Yokohama, et al.. (2003). Prevalence and clinical characteristics of myelodysplastic syndrome with bone marrow eosinophilia or basophilia. Blood. 101(9). 3386–3390. 66 indexed citations
16.
Tamura, Masaru, et al.. (1999). A cystatin-related gene, testatin/cresp, shows male-specific expression in germ and somatic cells from the initial stage of murine gonadal sex-differentiation. The International Journal of Developmental Biology. 43(8). 777–784. 15 indexed citations
17.
Sakura, Tohru, Hirokazu Murakami, Takayuki Saitoh, Takuji Naruse, & Jun Tsuchiya. (1998). Ultrastructural Abnormalities of Bone Marrow Erythroblasts in Refractory Anemia. Ultrastructural Pathology. 22(3). 173–180. 5 indexed citations
18.
Sawamura, Morio, Hitoshi Kurabayashi, Hirokazu Murakami, et al.. (1993). Ultrastructure of plasma cells in a patient with J chain disease. American Journal of Hematology. 43(1). 63–65. 4 indexed citations
19.
Sawamura, Morio, Jun‐ichi Tamura, Tohru Sakura, et al.. (1993). Myelodysplastic syndrome with eosinophilia in bone marrow. British Journal of Haematology. 84(4). 636–638. 16 indexed citations
20.
Sakura, Tohru, Hirokazu Murakami, Takafumi Matsushima, et al.. (1993). Ultrastructure of neutrophilic phagosome of autologous platelet in vivo in specific granule deficiency. American Journal of Hematology. 43(2). 149–150. 3 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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