Daisuke Koyama

643 total citations
41 papers, 485 citations indexed

About

Daisuke Koyama is a scholar working on Oncology, Hematology and Immunology. According to data from OpenAlex, Daisuke Koyama has authored 41 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 12 papers in Hematology and 12 papers in Immunology. Recurrent topics in Daisuke Koyama's work include CAR-T cell therapy research (8 papers), Immune Cell Function and Interaction (8 papers) and Chronic Lymphocytic Leukemia Research (5 papers). Daisuke Koyama is often cited by papers focused on CAR-T cell therapy research (8 papers), Immune Cell Function and Interaction (8 papers) and Chronic Lymphocytic Leukemia Research (5 papers). Daisuke Koyama collaborates with scholars based in Japan, Thailand and United States. Daisuke Koyama's co-authors include Tatsunori Goto, Yusuke Furukawa, Seitaro Terakura, Hitoshi Kiyoi, Makoto Murata, Tetsuya Nishida, Kotaro Miyao, Ryo Hanajiri, Jakrawadee Julamanee and Keisuke Watanabe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Daisuke Koyama

37 papers receiving 480 citations

Peers

Daisuke Koyama
Jiankun Zhu United States
M. J. C. Moester Netherlands
Xuehui He Netherlands
Sophia Siu United States
Jiankun Zhu United States
Daisuke Koyama
Citations per year, relative to Daisuke Koyama Daisuke Koyama (= 1×) peers Jiankun Zhu

Countries citing papers authored by Daisuke Koyama

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Koyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Koyama

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Koyama. A scholar is included among the top collaborators of Daisuke Koyama 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 Daisuke Koyama. Daisuke Koyama 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.
Koyama, Daisuke, Takamichi Kamiyama, Shingo Yamada, et al.. (2024). Syndecan-1 as a prognostic biomarker in COVID-19 patients: a retrospective study of a Japanese cohort. Thrombosis Journal. 22(1). 52–52. 4 indexed citations
2.
Koyama, Daisuke, et al.. (2023). High Efficacy and Safety of Asciminib in a Chronic Myeloid Leukemia Patient with Chronic Kidney Disease Following Renal Transplantation. Internal Medicine. 63(5). 717–720. 5 indexed citations
4.
Sato, Yuki, et al.. (2023). A case of cold agglutinin syndrome associated with chronic lymphocytic leukaemia harbouring mutations in CARD11 and KMT2D. International Journal of Hematology. 118(4). 472–476.
5.
Sumi, Masahiko, Daisuke Koyama, Toshimitsu Ueki, et al.. (2023). Successful allogeneic hematopoietic stem cell transplantation in a patient with type I CD36 deficiency: a case study and literature review. International Journal of Hematology. 118(5). 656–660. 2 indexed citations
6.
Julamanee, Jakrawadee, Seitaro Terakura, Kotaro Miyao, et al.. (2021). Composite CD79A/CD40 co-stimulatory endodomain enhances CD19CAR-T cell proliferation and survival. Molecular Therapy. 29(9). 2677–2690. 30 indexed citations
7.
Nishiwaki, Satoshi, Isamu Sugiura, Daisuke Koyama, et al.. (2021). Machine learning-aided risk stratification in Philadelphia chromosome-positive acute lymphoblastic leukemia. Biomarker Research. 9(1). 13–13. 3 indexed citations
8.
Murata, Makoto, Daisuke Koyama, Jakrawadee Julamanee, et al.. (2019). Donor single nucleotide polymorphism in ACAT1 affects the incidence of graft-versus-host disease after bone marrow transplantation. International Journal of Hematology. 111(1). 112–119. 2 indexed citations
9.
Miyao, Kotaro, Seitaro Terakura, Shingo Okuno, et al.. (2018). Introduction of Genetically Modified CD3ζ Improves Proliferation and Persistence of Antigen-Specific CTLs. Cancer Immunology Research. 6(6). 733–744. 16 indexed citations
10.
Koyama, Daisuke, Makoto Murata, Ryo Hanajiri, et al.. (2018). Quantitative Assessment of T Cell Clonotypes in Human Acute Graft-versus-Host Disease Tissues. Biology of Blood and Marrow Transplantation. 25(3). 417–423. 11 indexed citations
11.
Koyama, Daisuke, Makoto Murata, Ryo Hanajiri, et al.. (2017). Quantitative Assessment of TCR Repertoire and Allo-Reactivity of Human Acute Gvhd Tissue-Infiltrating T Cells. Blood. 130. 1982. 2 indexed citations
12.
Koyama, Daisuke, Makoto Murata, Ryo Hanajiri, et al.. (2017). High incidence of extensive chronic graft-versus-host disease in patients with the REG3A rs7588571 non-GG genotype. PLoS ONE. 12(9). e0185213–e0185213. 3 indexed citations
13.
Sakemura, Reona, Seitaro Terakura, Keisuke Watanabe, et al.. (2016). A Tet-On Inducible System for Controlling CD19-Chimeric Antigen Receptor Expression upon Drug Administration. Cancer Immunology Research. 4(8). 658–668. 129 indexed citations
14.
Goto, Tatsunori, Tetsuya Nishida, Kotaro Miyao, et al.. (2016). Programmed Death-Ligand 1 on Antigen-presenting Cells Facilitates the Induction of Antigen-specific Cytotoxic T Lymphocytes: Application to Adoptive T-Cell Immunotherapy. Journal of Immunotherapy. 39(8). 306–315. 13 indexed citations
15.
Nishiwaki, Satoshi, Daisuke Koyama, Hiroshi Tomita, et al.. (2015). Cervical epidural hematoma in a healthy donor presenting stroke mimic symptoms: a rare adverse event following peripheral blood stem cell apheresis. Japanese Journal of Clinical Oncology. 45(6). 584–7. 1 indexed citations
16.
Koyama, Daisuke, et al.. (2015). Soluble αKlotho as a candidate for the biomarker of aging. Biochemical and Biophysical Research Communications. 467(4). 1019–1025. 38 indexed citations
17.
Maruoka, Shuichiro, Yasuhiro Gon, Daisuke Koyama, et al.. (2014). Exosomal microRNAs in the serum are potential real-time biomarkers for allergic inflammation in the airway of mice. European Respiratory Journal. 44(Suppl 58). P1010–P1010. 1 indexed citations
18.
Hiraoka, Nobuya, Jiro Kikuchi, Takahiro Yamauchi, et al.. (2014). Purine Analog-Like Properties of Bendamustine Underlie Rapid Activation of DNA Damage Response and Synergistic Effects with Pyrimidine Analogues in Lymphoid Malignancies. PLoS ONE. 9(3). e90675–e90675. 21 indexed citations
19.
Goto, Tatsunori, Katsuya Ikuta, Yoshihiro Inamoto, et al.. (2012). Hyperferritinemia after adult allogeneic hematopoietic cell transplantation: quantification of iron burden by determining non-transferrin-bound iron. International Journal of Hematology. 97(1). 125–134. 13 indexed citations
20.
Uto, Yoshihiro, et al.. (2006). Artepillin C isoprenomics: Design and synthesis of artepillin C isoprene analogues as lipid peroxidation inhibitor having low mitochondrial toxicity. Bioorganic & Medicinal Chemistry. 14(16). 5721–5728. 29 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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