Jun Imagawa

853 citations
9 papers · 190 · h-index 7

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 5
    • Chronic Myeloid Leukemia Treatments 4
    • Multiple Myeloma Research and Treatments 2
    • Protein Degradation and Inhibitors 2
    • Epigenetics and DNA Methylation 1

Jun Imagawa

9 papers receiving 186 citations

Peers

Jun Imagawa
Comparison fields: 5 of 22
  • Hematology 148
  • Genetics 84
  • Molecular Biology 103
  • Rheumatology 14
  • Immunology 11
Replace M. F. McMullin with:
M. F. McMullin United Kingdom
Chandrakala Shanmukhaiah India
Atanas Radinoff Bulgaria
Hacène Zerazhi France
Zonghong Shao China
Vivien Schäfer Germany
Faye Feller United States
K.-A. Kreuzer Germany
Pamela Acha Spain
Yasuyuki Sera Japan
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Citations per field
00.5×1.5×2.3×
M. F. McMullin · 1×
Citations per year

Countries citing papers authored by Jun Imagawa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Imagawa Line = papers co-authored together Jun Imagawa links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 200959
2 200652
3 201324
4 201917
5 201016
6 20058
7 20126
8
[Successful treatment with low-dose dasatinib in a patient with chronic eosinophilic leukemia intolerant to imatinib].
20115
9 20043

About Jun Imagawa

Jun Imagawa is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Rheumatology, having authored 9 papers that have together received 190 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Protein Degradation and Inhibitors (2 papers), Multiple Myeloma Research and Treatments (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Epigenetics and DNA Methylation (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Hematology (148 citations), Genetics (84 citations), Molecular Biology (103 citations), Rheumatology (14 citations) and Immunology (11 citations). Jun Imagawa has collaborated with scholars based in Japan. Frequent co-authors include Yuka Harada, Hironori Harada, Ye Ding, Akiro Kimura, Taiichi Kyo, Yahui Ding, Toshiya Inaba, A Kimura, Hiromasa Niimi and Hideo Hyodo. Their work appears in journals such as International Journal of Hematology, Blood, Blood Advances, Leukemia and PubMed.

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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