Jun Imagawa
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
-
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 13
- Chronic Myeloid Leukemia Treatments 6
- Acute Myeloid Leukemia Research 5
- Multiple Myeloma Research and Treatments 2
-
- Retinoids in leukemia and cellular processes 4
- Co-authors
- Yuka Harada (9 shared papers)Hironori Harada (9 shared papers)Akiro Kimura (7 shared papers)Ding Ping Ye (3 shared papers)Yahui Ding (1 shared paper)Taiichi Kyo (1 shared paper)Toshiya Inaba (1 shared paper)Hiromasa Niimi (1 shared paper)
- Journals
- International Journal of Hematology (5 papers)Blood (4 papers)The Lancet Haematology (3 papers)Journal of the Japan Society of the Reticuloendothelial System (1 paper)Leukemia (1 paper)
- Partner nations
- Japan
In The Last Decade
Jun Imagawa
18 papers receiving 729 citations
Peers
Comparison fields: 5 of 32
- Hematology 610
- Genetics 40
- Immunology 43
- Molecular Biology 52
- Oncology 17
Countries citing papers authored by Jun Imagawa
This map shows the geographic impact of Jun Imagawa'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 Jun Imagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Imagawa more than expected).
Fields of papers citing papers by Jun Imagawa
This network shows the impact of papers produced by Jun Imagawa. 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 Jun Imagawa. The network helps show where Jun Imagawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Imagawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 269 | |
| 2 | 2018 | 105 | |
| 3 | 2020 | 89 | |
| 4 | 2009 | 59 | |
| 5 | 2006 | 57 | |
| 6 | 2021 | 48 | |
| 7 | 2013 | 27 | |
| 8 | 2010 | 21 | |
| 9 | 2019 | 19 | |
| 10 | 2013 | 9 | |
| 11 | 2005 | 8 | |
| 12 | 2012 | 7 | |
| 13 | 2013 | 6 | |
| 14 | 2011 | 5 | |
| 15 | [Successful treatment with low-dose dasatinib in a patient with chronic eosinophilic leukemia intolerant to imatinib]. | 2011 | 5 |
| 16 | 2004 | 4 | |
| 17 | 2010 | 4 | |
| 18 | 2018 | 1 |
About Jun Imagawa
Jun Imagawa is a scholar working on Hematology, Molecular Biology, Genetics, Rheumatology and Pathology and Forensic Medicine, having authored 18 papers that have together received 743 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (6 papers), Acute Myeloid Leukemia Research (5 papers), Retinoids in leukemia and cellular processes (4 papers), Multiple Myeloma Research and Treatments (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Eosinophilic Disorders and Syndromes (1 paper) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Hematology (610 citations), Genetics (40 citations), Immunology (43 citations), Molecular Biology (52 citations) and Oncology (17 citations). Jun Imagawa has collaborated with scholars based in Japan. Frequent co-authors include Yuka Harada, Hironori Harada, Akiro Kimura, Ding Ping Ye, Yahui Ding, Taiichi Kyo, Toshiya Inaba, Hiromasa Niimi, A Kimura and Hideo Tanaka. Their work appears in journals such as International Journal of Hematology, Blood, The Lancet Haematology, Journal of the Japan Society of the Reticuloendothelial System 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.