Ichiro Hanamura
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
Papers in
- Hematology 45
- Multiple Myeloma Research and Treatments 33
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- Protein Degradation and Inhibitors 16
- Glycosylation and Glycoproteins Research 8
- Co-authors
- Bart Barlogie (9 shared papers)John D. Shaughnessy (8 shared papers)Fenghuang Zhan (7 shared papers)Yongsheng Huang (6 shared papers)Peter Stewart (5 shared papers)John Crowley (5 shared papers)Frits van Rhee (4 shared papers)Jeffrey R. Sawyer (4 shared papers)
- Journals
- Blood (12 papers)International Journal of Hematology (4 papers)Cancer Science (4 papers)Cell Death Discovery (3 papers)Leukemia (3 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Ichiro Hanamura
65 papers receiving 2.7k citations
Ichiro Hanamura's Hit Papers
Peers
Comparison fields: 5 of 104
- Hematology 1.7k
- Oncology 915
- Molecular Biology 2.0k
- Genetics 279
- Cancer Research 377
Countries citing papers authored by Ichiro Hanamura
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
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-authors
The 25 scholars most cited alongside Ichiro Hanamura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The molecular classification of multiple myeloma Hit paper breakdown → | 2006 | 783 |
| 2 | 2006 | 338 | |
| 3 | 2006 | 291 | |
| 4 | 2000 | 151 | |
| 5 | 2011 | 127 | |
| 6 | 2003 | 103 | |
| 7 | 2010 | 102 | |
| 8 | 2012 | 82 | |
| 9 | 2001 | 71 | |
| 10 | 2022 | 65 | |
| 11 | 2014 | 58 | |
| 12 | 2005 | 56 | |
| 13 | 2014 | 51 | |
| 14 | 2021 | 51 | |
| 15 | 2019 | 41 | |
| 16 | 2013 | 32 | |
| 17 | 2021 | 28 | |
| 18 | 2003 | 26 | |
| 19 | 2019 | 26 | |
| 20 | 2006 | 24 |
About Ichiro Hanamura
Ichiro Hanamura is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 73 papers that have together received 2.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (33 papers), Protein Degradation and Inhibitors (16 papers), Peptidase Inhibition and Analysis (9 papers), Glycosylation and Glycoproteins Research (8 papers), Chronic Lymphocytic Leukemia Research (5 papers), Immune Cell Function and Interaction (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Hematology (1.7k citations), Oncology (915 citations), Molecular Biology (2.0k citations), Genetics (279 citations) and Cancer Research (377 citations). Ichiro Hanamura has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Bart Barlogie, John D. Shaughnessy, Fenghuang Zhan, Yongsheng Huang, Peter Stewart, John Crowley, Frits van Rhee, Jeffrey R. Sawyer, Klaus Hollmig and Mauricio Pineda‐Roman. Their work appears in journals such as Blood, International Journal of Hematology, Cancer Science, Cell Death Discovery and Leukemia.
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.