Makoto Ibata

1.0k total citations
24 papers, 657 citations indexed

About

Makoto Ibata is a scholar working on Hematology, Immunology and Oncology. According to data from OpenAlex, Makoto Ibata has authored 24 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 9 papers in Immunology and 7 papers in Oncology. Recurrent topics in Makoto Ibata's work include Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (4 papers) and Multiple Myeloma Research and Treatments (3 papers). Makoto Ibata is often cited by papers focused on Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (4 papers) and Multiple Myeloma Research and Treatments (3 papers). Makoto Ibata collaborates with scholars based in Japan, Sweden and Norway. Makoto Ibata's co-authors include Sanae Hamanaka, Y. Yamazaki, Hiromitsu Nakauchi, Megumi Kato‐Itoh, Toshihiro Kobayashi, Masumi Hirabayashi, A. S. Knisely, Youn-Su Lee, Hideyuki Sato and Tomoyuki Yamaguchi and has published in prestigious journals such as Cell, Blood and British Journal of Haematology.

In The Last Decade

Makoto Ibata

23 papers receiving 650 citations

Peers

Makoto Ibata
Yaohong Tan United States
Rajesh Somasundaram Sweden
Delia Demers United States
Iskra Altankova Bulgaria
Francesca Ferrua Italy
Jungeun Yu United States
Germán G. Gornalusse United States
Tiffany Cheng United States
Mitsutaka Shiota Japan
Kazuya Takahashi Japan
Yaohong Tan United States
Makoto Ibata
Citations per year, relative to Makoto Ibata Makoto Ibata (= 1×) peers Yaohong Tan

Countries citing papers authored by Makoto Ibata

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Ibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Ibata

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Ibata. A scholar is included among the top collaborators of Makoto Ibata 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 Makoto Ibata. Makoto Ibata 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.
Tamura, Tomokazu, Naganori Nao, Hikoyu Suzuki, et al.. (2025). Characterization of remdesivir resistance mutations in COVID-19 patients with various immunosuppressive diseases. Antiviral Research. 242. 106264–106264. 1 indexed citations
2.
Tamura, Tomokazu, Mutsumi Takahata, Takashi Ishio, et al.. (2023). Prolonged shedding of viable SARS‐CoV ‐2 in immunocompromised patients with haematological malignancies: A prospective study. British Journal of Haematology. 204(3). 815–820. 11 indexed citations
3.
Baghdadi, Muhammad, Sayaka Nakanishi, Haruka Wada, et al.. (2019). A role for IL-34 in osteolytic disease of multiple myeloma. Blood Advances. 3(4). 541–551. 24 indexed citations
4.
Endo, Tomoyuki, Daigo Hashimoto, Takahide Ara, et al.. (2018). Disseminated fusariosis emerged from prolonged local genital infection after cord blood transplantation. Journal of Infection and Chemotherapy. 24(8). 660–663. 5 indexed citations
5.
Ibata, Makoto, Yoichiro Fujioka, Koji Nakagawa, et al.. (2016). Leukemogenic kinase FIP1L1‐PDGFRA and a small ubiquitin‐like modifier E3 ligase, PIAS1, form a positive cross‐talk through their enzymatic activities. Cancer Science. 108(2). 200–207. 2 indexed citations
6.
Miyauchi, T., Riichiro Abe, Yusuke Morita, et al.. (2015). CD4/CD8 Double-negative T-cell Lymphoma: A Variant of Primary Cutaneous CD8+ Aggressive Epidermotropic Cytotoxic T-cell Lymphoma?. Acta Dermato Venereologica. 95(8). 1024–1025. 4 indexed citations
7.
Kondo, Takeshi, Stephanie Darmanin, Makoto Ibata, et al.. (2014). FIP1L1 presence in FIP1L1-RARA or FIP1L1-PDGFRA differentially contributes to the pathogenesis of distinct types of leukemia. Annals of Hematology. 93(9). 1473–1481. 19 indexed citations
8.
Arita, Kotaro, Takeshi Kondo, Junichi Sugita, et al.. (2011). Sequential chemotherapy and myeloablative allogeneic hematopoietic stem cell transplantation for refractory acute lymphoblastic leukemia. International Journal of Hematology. 94(3). 291–295. 8 indexed citations
9.
Sugita, Junichi, T. Matsushita, Hiroshi Kashiwazaki, et al.. (2011). Efficacy of folinic acid in preventing oral mucositis in allogeneic hematopoietic stem cell transplant patients receiving MTX as prophylaxis for GVHD. Bone Marrow Transplantation. 47(2). 258–264. 26 indexed citations
10.
Kobayashi, Toshihiro, Tomoyuki Yamaguchi, Sanae Hamanaka, et al.. (2010). Generation of Rat Pancreas in Mouse by Interspecific Blastocyst Injection of Pluripotent Stem Cells. Cell. 142(5). 787–799. 390 indexed citations
11.
Toubai, Tomomi, Yusuke Shono, Jun Nishihira, et al.. (2009). Serum macrophage migration inhibitory factor (MIF) levels after allogeneic hematopoietic stem cell transplantation. International Journal of Laboratory Hematology. 31(2). 161–168. 9 indexed citations
12.
Shiratori, Souichi, Takeshi Kondo, Kanako Kubota, et al.. (2008). [Loss of CD20 expression following rituximab-combined chemotherapy in CD20-positive and CyclinD1-positive multiple myeloma].. PubMed. 49(11). 1536–40. 4 indexed citations
13.
14.
Toubai, Tomomi, Yusuke Shono, Shuichi Ota, et al.. (2007). Chimerism and T‐cell receptor repertoire analysis after unrelated cord blood transplantation with a reduced‐intensity conditioning regimen following autologous stem cell transplantation for multiple myeloma. International Journal of Laboratory Hematology. 30(1). 75–81. 5 indexed citations
15.
Tanaka, Junji, Junichi Sugita, Naoko Kato, et al.. (2007). Expansion of natural killer cell receptor (CD94/NKG2A)–expressing cytolytic CD8 T cells and CD4+CD25+ regulatory T cells from the same cord blood unit. Experimental Hematology. 35(10). 1562–1566. 5 indexed citations
16.
Toubai, Tomomi, Junji Tanaka, Shuichi Ota, et al.. (2007). Efficacy and safety of Micafungin in Febrile NeutropenicPatients Treated for Hematological Malignancies. Internal Medicine. 46(1). 3–9. 24 indexed citations
17.
Toubai, Tomomi, Junji Tanaka, Jun Nishihira, et al.. (2006). Effect of macrophage migration inhibitory factor (MIF) on acute graft-versus-host disease in a murine model of allogeneic stem cell transplantation. Transplant Immunology. 16(2). 117–124. 12 indexed citations
18.
Shono, Yusuke, Tomomi Toubai, Shuichi Ota, et al.. (2006). Abnormal expansion of naïve B lymphocytes after unrelated cord blood transplantation - a case report. Clinical & Laboratory Haematology. 28(5). 351–354. 4 indexed citations
19.
Mori, Akio, Yutaka Tsutsumi, Satoshi Hashino, et al.. (2005). CD56 Expression Is the Potent Prognostic Marker of the Thalidomide Efficacy in the Patients with Multiple Myeloma.. Blood. 106(11). 5142–5142. 1 indexed citations
20.
Toubai, Tomomi, Junji Tanaka, Toshio Higa, et al.. (2004). Long-term follow-up of a patient with idiopathic myelofibrosis associated with chromosome 11 and 13 abnormalities. American Journal of Hematology. 78(1). 67–70. 2 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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