Junya Makiyama

561 total citations
19 papers, 192 citations indexed

About

Junya Makiyama is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Junya Makiyama has authored 19 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 9 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Agronomy and Crop Science. Recurrent topics in Junya Makiyama's work include T-cell and Retrovirus Studies (11 papers), Vector-Borne Animal Diseases (9 papers) and Animal Disease Management and Epidemiology (6 papers). Junya Makiyama is often cited by papers focused on T-cell and Retrovirus Studies (11 papers), Vector-Borne Animal Diseases (9 papers) and Animal Disease Management and Epidemiology (6 papers). Junya Makiyama collaborates with scholars based in Japan and India. Junya Makiyama's co-authors include Kaoru Uchimaru, Seiichiro Kobayashi, Makoto Yamagishi, Makoto Nakashima, Tomohiro Koga, Kiyoshi Migita, Toshiki Watanabe, Atsushi Kawakami, Masako Iwanaga and Yutaka Suzuki and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Junya Makiyama

18 papers receiving 192 citations

Peers

Junya Makiyama
Mikel Valgañón United Kingdom
Naofumi Hikita Japan
Christine Stumpf Germany
Tatsuro Jo Japan
Yuhei Kamada Japan
Eriko Yanagida Japan
Bernard Wen United States
Yasushi Miyazaki Japan
Genji Takeuchi Japan
Chikako Taguchi Japan
Mikel Valgañón United Kingdom
Junya Makiyama
Citations per year, relative to Junya Makiyama Junya Makiyama (= 1×) peers Mikel Valgañón

Countries citing papers authored by Junya Makiyama

Since Specialization
Citations

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

Fields of papers citing papers by Junya Makiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junya Makiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Junya Makiyama. A scholar is included among the top collaborators of Junya Makiyama 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 Junya Makiyama. Junya Makiyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Tokunaga, Masahito, Atae Utsunomiya, Junya Makiyama, et al.. (2025). Improving outcome prediction in indolent ATL by subdividing intermediate risk into low- and high-intermediate groups. Annals of Hematology. 104(4). 2429–2436. 1 indexed citations
2.
Fukushima, Takuya, Kunihiro Tsukasaki, Ryunosuke Machida, et al.. (2024). Upfront allo-HSCT after intensive chemotherapy for untreated aggressive ATL: JCOG0907, a single-arm, phase 3 trial.. Journal of Clinical Oncology. 42(16_suppl). 7001–7001. 1 indexed citations
3.
Makiyama, Junya, Kenji Ishitsuka, Wataru Munakata, Dai Maruyama, & Hirokazu Nagai. (2023). An update on the developments in the treatment of adult T-cell leukemia–lymphoma: current knowledge and future perspective. Japanese Journal of Clinical Oncology. 53(12). 1104–1111. 5 indexed citations
4.
Yasui, Hiroshi, Masayuki Kobayashi, Tadao Ishida, et al.. (2021). Circulating cell-free DNA in the peripheral blood plasma of patients is an informative biomarker for multiple myeloma relapse. International Journal of Clinical Oncology. 26(11). 2142–2150. 8 indexed citations
5.
Yamagishi, Makoto, Yuta Kuze, Ayako Suzuki, et al.. (2021). Chronological genome and single-cell transcriptome integration characterizes the evolutionary process of adult T cell leukemia-lymphoma. Nature Communications. 12(1). 4821–4821. 48 indexed citations
6.
Makiyama, Junya, et al.. (2020). Outcomes in Patients with Classic Hodgkin Lymphoma Treated with ABVD: A Single-center Retrospective Study. Internal Medicine. 60(5). 709–718.
7.
Matsuoka, Sahoko, Kenta Tezuka, Madoka Kuramitsu, et al.. (2020). Activation of PERK-ATF4-CHOP pathway as a novel therapeutic approach for efficient elimination of HTLV-1–infected cells. Blood Advances. 4(9). 1845–1858. 9 indexed citations
8.
Kato, Takeharu, Hidehiro Itonaga, Jun Taguchi, et al.. (2019). Successful outcome of second allogeneic bone marrow transplantation for blastic plasmacytoid dendritic cell neoplasm with MYC locus rearrangement. Leukemia Research Reports. 11. 31–33. 4 indexed citations
9.
Morishima, Satoko, Kenji Ishitsuka, Koji Izutsu, et al.. (2019). First-in-Human Study of the EZH1/2 Dual Inhibitor Valemetostat in Relapsed or Refractory Non-Hodgkin Lymphoma (NHL) - Updated Results Focusing on Adult T-Cell Leukemia-Lymphoma (ATL). Blood. 134(Supplement_1). 4025–4025. 12 indexed citations
10.
Makiyama, Junya, Seiichiro Kobayashi, Eri Watanabe, et al.. (2019). CD4+CADM1+ cell percentage predicts disease progression in HTLV‐1 carriers and indolent adult T‐cell leukemia/lymphoma. Cancer Science. 110(12). 3746–3753. 19 indexed citations
11.
Ogawa, Miho, Kiyosumi Ochi, Junya Makiyama, et al.. (2018). Chronic inflammatory demyelinating polyneuropathy in adult T-cell leukemia-lymphoma patients following allogeneic stem cell transplantation. Bone Marrow Transplantation. 53(11). 1470–1473. 5 indexed citations
12.
13.
Makiyama, Junya, Yoshitaka Imaizumi, Hideki Tsushima, et al.. (2014). Treatment outcome of elderly patients with aggressive adult T cell leukemia-lymphoma: Nagasaki University Hospital experience. International Journal of Hematology. 100(5). 464–472. 8 indexed citations
14.
Makiyama, Junya, Yoshitaka Imaizumi, Hidehiro Itonaga, et al.. (2013). Successful Treatment of Intravascular Large B-Cell Lymphoma with Combination of Chemotherapy and it Followed by ASCT. Annals of Oncology. 24. ix88–ix88. 1 indexed citations
15.
Taniguchi, Hiroaki, Yoshitaka Imaizumi, Junya Makiyama, et al.. (2013). [Outcome of patients with relapsed/refractory adult T-cell leukemia-lymphoma after salvage therapy].. PubMed. 54(12). 2159–66. 7 indexed citations
16.
Yoshimura, Maiko, Junya Makiyama, Tomohiro Koga, et al.. (2010). Successful treatment with tocilizumab in a patient with refractory adult-onset Still's disease (AOSD).. PubMed. 28(1). 141–2. 19 indexed citations
17.
Tamai, Mami, Atsushi Kawakami, Tomohiro Koga, et al.. (2010). Serum levels of BAFF for assessing the disease activity of Takayasu arteritis.. PubMed. 28(1 Suppl 57). 14–7. 29 indexed citations
18.
Miyashita, Taichiro, Junya Makiyama, Tomohiro Koga, et al.. (2010). A case of gastric cancer presenting as polymyalgia rheumatica.. PubMed. 28(1 Suppl 57). 111–2. 4 indexed citations
19.
Koga, Tomohiro, Junya Makiyama, Taichiro Miyashita, et al.. (2009). Serum amyloid A is a useful marker to evaluate the disease activity of Takayasu’s arteritis. Rheumatology International. 30(4). 561–563. 9 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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