Makoto Onizuka

4.9k total citations
201 papers, 2.4k citations indexed

About

Makoto Onizuka is a scholar working on Hematology, Immunology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Makoto Onizuka has authored 201 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Hematology, 68 papers in Immunology and 62 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Makoto Onizuka's work include Hematopoietic Stem Cell Transplantation (134 papers), Acute Lymphoblastic Leukemia research (60 papers) and Acute Myeloid Leukemia Research (58 papers). Makoto Onizuka is often cited by papers focused on Hematopoietic Stem Cell Transplantation (134 papers), Acute Lymphoblastic Leukemia research (60 papers) and Acute Myeloid Leukemia Research (58 papers). Makoto Onizuka collaborates with scholars based in Japan, United States and United Kingdom. Makoto Onizuka's co-authors include Takahiro Fukuda, Yoshiko Atsuta, Koichi Miyamura, Kiyoshi Ando, Yasuo Morishima, Yoshihisa Kodera, Tatsuo Ichinohe, Shunichi Kato, Naoyuki Uchida and Akiyoshi Takami and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Makoto Onizuka

183 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Makoto Onizuka Japan 24 1.5k 853 467 445 425 201 2.4k
Armin Gerbitz Canada 23 1.4k 0.9× 1.1k 1.3× 251 0.5× 646 1.5× 468 1.1× 107 2.6k
Belinda R. Avalos United States 23 1.0k 0.7× 709 0.8× 243 0.5× 779 1.8× 387 0.9× 100 2.1k
Erica D. Warlick United States 25 1.6k 1.1× 812 1.0× 561 1.2× 858 1.9× 311 0.7× 109 2.4k
Anne Huynh France 28 1.6k 1.1× 359 0.4× 494 1.1× 593 1.3× 625 1.5× 130 2.7k
Masatsugu Tanaka Japan 24 1.1k 0.7× 325 0.4× 345 0.7× 476 1.1× 349 0.8× 196 1.9k
Shuichi Ota Japan 25 878 0.6× 563 0.7× 267 0.6× 542 1.2× 333 0.8× 176 2.0k
Peter Kalhs Austria 34 2.4k 1.6× 1.1k 1.2× 472 1.0× 573 1.3× 325 0.8× 119 3.3k
Paolo Di Bartolomeo Italy 21 2.0k 1.4× 778 0.9× 662 1.4× 678 1.5× 218 0.5× 87 2.5k
Sang Kyun Sohn South Korea 28 1.4k 1.0× 719 0.8× 310 0.7× 723 1.6× 600 1.4× 191 2.7k
JH Antin United States 24 1.8k 1.2× 924 1.1× 307 0.7× 566 1.3× 475 1.1× 50 2.8k

Countries citing papers authored by Makoto Onizuka

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Onizuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Onizuka

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Onizuka. A scholar is included among the top collaborators of Makoto Onizuka 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 Onizuka. Makoto Onizuka 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.
Harada, Naonori, Junya Kanda, Hiromi Hayashi, et al.. (2025). Evaluation of the Prognostic Impact of Infused CD34 Positive Cell Dose in Haplo-Peripheral Blood Stem Cell Transplantation with Post-Transplantation Cyclophosphamide Using a Restricted Cubic Spline Curve. Transplantation and Cellular Therapy. 31(2). S262–S262. 1 indexed citations
3.
Shimomura, Yoshimitsu, Tetsuhisa Kitamura, Makoto Murata, et al.. (2024). Impact of Center Volume on Chronic Graft Versus Host Disease in Patients With Allogeneic Stem Cell Transplantation. Transplantation and Cellular Therapy. 30(3). 326.e1–326.e14. 2 indexed citations
5.
Jo, Tomoyasu, Yasuyuki Arai, Tadakazu Kondo, et al.. (2023). Prognostic impact of complex and/or monosomal karyotypes in post‐transplant poor cytogenetic acute myeloid leukaemia: A quantitative approach. British Journal of Haematology. 202(2). 356–368. 1 indexed citations
6.
Onizuka, Makoto, Eri Kikkawa, Shinichiro Machida, et al.. (2023). Association of CDKN2A/2B deletion with relapse after hematopoietic stem cell transplantation for acute lymphoblastic leukemia. PubMed. 6(3). 80–86. 2 indexed citations
8.
Harada, Kaito, Makoto Onizuka, Ryujiro Hara, et al.. (2022). Risk factors for lower respiratory tract disease and outcomes in allogeneic hematopoietic stem cell transplantation recipients with influenza virus infection. Journal of Infection and Chemotherapy. 28(9). 1279–1285.
9.
11.
Murata, Makoto, Seitaro Terakura, Atsushi Wake, et al.. (2021). Off-the-shelf bone marrow-derived mesenchymal stem cell treatment for acute graft-versus-host disease: real-world evidence. Bone Marrow Transplantation. 56(10). 2355–2366. 33 indexed citations
12.
Yamasaki, Satoshi, Nobuharu Fujii, Yasushi Ishida, et al.. (2021). Characterization of myeloid neoplasms following allogeneic hematopoietic cell transplantation. American Journal of Hematology. 97(2). 185–193. 2 indexed citations
13.
Arai, Yasuyuki, Shigeki Hirabayashi, Tadakazu Kondo, et al.. (2021). Residual disease is a strong prognostic marker in patients with acute lymphoblastic leukaemia with chemotherapy‐refractory or relapsed disease prior to allogeneic stem cell transplantation. British Journal of Haematology. 194(2). 403–413. 2 indexed citations
14.
Yokoyama, Hisayuki, Junya Kanda, Yuta Kawahara, et al.. (2021). Reduced leukemia relapse through cytomegalovirus reactivation in killer cell immunoglobulin-like receptor-ligand-mismatched cord blood transplantation. Bone Marrow Transplantation. 56(6). 1352–1363. 5 indexed citations
15.
Isobe, Masamichi, Takaaki Konuma, Masayoshi Masuko, et al.. (2021). Single cord blood transplantation for acute myeloid leukemia patients aged 60 years or older: a retrospective study in Japan. Annals of Hematology. 100(7). 1849–1861. 3 indexed citations
16.
Onizuka, Makoto, Jun Amaki, Shinichiro Machida, et al.. (2019). Primary CNS post-transplant lymphoproliferative disorder following haploidentical HSCT using post-transplant high-dose cyclophosphamide. PubMed. 2(1). 1–4. 2 indexed citations
17.
Takami, Akiyoshi, Masahiko Hara, Shohei Mizuno, et al.. (2017). Comparison of Autologous and Unrelated Transplants for Cytogenetically Normal Acute Myelogenous Leukemia. Biology of Blood and Marrow Transplantation. 23(9). 1447–1454. 20 indexed citations
18.
Sato‐Otsubo, Aiko, Yasuhito Nannya, Koichi Kashiwase, et al.. (2015). Genome-wide surveillance of mismatched alleles for graft-versus-host disease in stem cell transplantation. Blood. 126(25). 2752–2763. 21 indexed citations
19.
Amaki, Jun, Makoto Onizuka, Ken Ohmachi, et al.. (2015). Single nucleotide polymorphisms of cytarabine metabolic genes influence clinical outcome in acute myeloid leukemia patients receiving high-dose cytarabine therapy. International Journal of Hematology. 101(6). 543–553. 16 indexed citations
20.
Morishima, Yasuo, Koichi Kashiwase, Keitaro Matsuo, et al.. (2014). Biological significance of HLA locus matching in unrelated donor bone marrow transplantation. Blood. 125(7). 1189–1197. 111 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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