Ichiro Hanamura

5.9k total citations · 1 hit paper
73 papers, 2.8k citations indexed

About

Ichiro Hanamura is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Ichiro Hanamura has authored 73 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Hematology, 36 papers in Molecular Biology and 19 papers in Oncology. Recurrent topics in Ichiro Hanamura's work include Multiple Myeloma Research and Treatments (33 papers), Protein Degradation and Inhibitors (16 papers) and Peptidase Inhibition and Analysis (9 papers). Ichiro Hanamura is often cited by papers focused on Multiple Myeloma Research and Treatments (33 papers), Protein Degradation and Inhibitors (16 papers) and Peptidase Inhibition and Analysis (9 papers). Ichiro Hanamura collaborates with scholars based in Japan, United States and Taiwan. Ichiro Hanamura's co-authors include Bart Barlogie, John D. Shaughnessy, Fenghuang Zhan, Yongsheng Huang, Peter Stewart, John Crowley, Frits van Rhee, Jeffrey R. Sawyer, Guido Tricot and Mauricio Pineda‐Roman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Molecular Cell.

In The Last Decade

Ichiro Hanamura

65 papers receiving 2.7k citations

Hit Papers

The molecular classification of multiple myeloma 2006 2026 2012 2019 2006 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The molecular classification of multiple myeloma
    2006 783 citations Ichiro Hanamura et al. Blood profile →

Peers

Ichiro Hanamura
Florence Magrangeas France
Yazan Alsayed United States
Kensuke Kojima Japan
Amanda L. Christie United States
Keita Kirito Japan
Michel Jourdan France
Artur Słupianek United States
Ronald W. Stam Netherlands
Jake Shortt Australia
Rose Ann Padua United Kingdom
Florence Magrangeas France
Ichiro Hanamura
Citations per year, relative to Ichiro Hanamura Ichiro Hanamura (= 1×) peers Florence Magrangeas

Countries citing papers authored by Ichiro Hanamura

Since Specialization
Citations

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

Fields of papers citing papers by Ichiro Hanamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ichiro Hanamura

This figure shows the co-authorship network connecting the top 25 collaborators of Ichiro Hanamura. A scholar is included among the top collaborators of Ichiro Hanamura 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 Ichiro Hanamura. Ichiro Hanamura 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.
2.
Mizuno, Shohei, Ichiro Hanamura, Yoshihisa Kodera, et al.. (2021). Donor UNC-93 Homolog B1 genetic polymorphism predicts survival outcomes after unrelated bone marrow transplantation. Genes and Immunity. 22(1). 35–43. 4 indexed citations
3.
Karnan, Sivasundaram, Akinobu Ota, Hideki Murakami, et al.. (2020). Identification of CD24 as a potential diagnostic and therapeutic target for malignant pleural mesothelioma. Cell Death Discovery. 6(1). 127–127. 8 indexed citations
4.
Ota, Akinobu, Ichiro Hanamura, Sivasundaram Karnan, et al.. (2020). Novel Interleukin-6 Inducible Gene PDZ-Binding Kinase Promotes Tumor Growth of Multiple Myeloma Cells. Journal of Interferon & Cytokine Research. 40(8). 389–405. 10 indexed citations
5.
Murase, Takayuki, Atsushi Inagaki, Ayako Masaki, et al.. (2019). Plasma cell myeloma positive for t(14;20) with relapse in the central nervous system. Journal of Clinical and Experimental Hematopathology. 59(3). 135–139.
6.
Hanamura, Ichiro. (2019). [Advances in multiple myeloma molecular biology research].. PubMed. 60(9). 1236–1242. 2 indexed citations
7.
Iida, Shinsuke, Masashi Wakabayashi, Kunihiro Tsukasaki, et al.. (2018). Bortezomib plus dexamethasone vs thalidomide plus dexamethasone for relapsed or refractory multiple myeloma. Cancer Science. 109(5). 1552–1561. 5 indexed citations
8.
Wahiduzzaman, Md, Akinobu Ota, Sivasundaram Karnan, et al.. (2018). Novel combined Ato-C treatment synergistically suppresses proliferation of Bcr-Abl-positive leukemic cells in vitro and in vivo. Cancer Letters. 433. 117–130. 16 indexed citations
9.
Qiang, Ya‐Wei, Shiqiao Ye, Yu Chen, et al.. (2017). MAFA Expression Promotes Proliferation of Myeloma Cells and Its Protein Stability Is Regulated By Proteasome Inhibitors. Blood. 130. 4394–4394.
10.
Mizuno, Shohei, Ichiro Hanamura, J. Luis Espinoza, et al.. (2017). The recipient CCR5 variation predicts survival outcomes after bone marrow transplantation. Transplant Immunology. 42. 34–39. 4 indexed citations
11.
Mizuno, Shohei, Ichiro Hanamura, J. Luis Espinoza, et al.. (2016). Toll-like receptor 1 variation increases the risk of transplant-related mortality in hematologic malignancies. Transplant Immunology. 38. 60–66. 3 indexed citations
12.
13.
Mizuno, Shohei, Ichiro Hanamura, Akinobu Ota, et al.. (2015). Overexpression of salivary-type amylase reduces the sensitivity to bortezomib in multiple myeloma cells. International Journal of Hematology. 102(5). 569–578. 5 indexed citations
14.
Miwa, Hiroshi, Masato Shikami, Shohei Mizuno, et al.. (2014). Importance of Glutamine Metabolism in Leukemia Cells by Energy Production Through TCA Cycle and by Redox Homeostasis. Cancer Investigation. 32(6). 241–247. 58 indexed citations
15.
Miwa, Hiroshi, Masato Shikami, Shohei Mizuno, et al.. (2013). Growth of xenotransplanted leukemia cells is influenced by diet nutrients and is attenuated with 2-deoxyglucose. Leukemia Research. 37(9). 1132–1136. 12 indexed citations
16.
Nagoshi, Hisao, Tomohiko Taki, Ichiro Hanamura, et al.. (2012). Frequent PVT1 Rearrangement and Novel Chimeric Genes PVT1-NBEA and PVT1-WWOX Occur in Multiple Myeloma with 8q24 Abnormality. Cancer Research. 72(19). 4954–4962. 82 indexed citations
17.
Miwa, Hiroshi, Masato Shikami, Shohei Mizuno, et al.. (2010). Energy metabolism of leukemia cells: glycolysisversusoxidative phosphorylation. Leukemia & lymphoma. 51(11). 2112–2119. 102 indexed citations
18.
Yoshida, Hitomi, Sadaaki KOMURA, Nobuko Ohishi, et al.. (2003). Possible dominant-negative mutation of the SHIP gene in acute myeloid leukemia. Leukemia. 17(1). 1–8. 103 indexed citations
19.
Hanamura, Ichiro, Miyuki Kato, Shogo Banno, et al.. (2003). Frequent occurrence of CCND1 deregulation in patients with early stages of plasma cell dyscrasia. Cancer Science. 94(4). 350–354. 7 indexed citations
20.
Hanamura, Ichiro, Shinsuke Iida, Yoshihito Hayami, et al.. (2001). Ectopic Expression of MAFB Gene in Human Myeloma Cells Carrying (14;20)(q32;q11) Chromosomal Translocations. Japanese Journal of Cancer Research. 92(6). 638–644. 71 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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