Jun Imagawa

849 citations
9 papers · 181 · h-index 7

Impact in

  • Hematology top 10%
    • 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

Jun Imagawa

9 papers receiving 179 citations

Peers

Jun Imagawa
Comparison fields: 5 of 22
  • Hematology 148
  • Genetics 85
  • Molecular Biology 109
  • Rheumatology 13
  • Immunology 11
Replace Atanas Radinoff with:
Atanas Radinoff Bulgaria
Claudia Haferlach Germany
Faye Feller United States
M. F. McMullin United Kingdom
María Abáigar Spain
Evgeni Chubar Israel
Yasuyuki Sera Japan
Sivahari Prasad Gorantla Germany
Abbas Nazir United States
Vivien Schäfer Germany
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Citations per field
00.5×10×13×
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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 200956
2 200648
3 201324
4 201916
5 201015
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 181 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), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Multiple Myeloma Research and Treatments (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Chemokine receptors and signaling (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Hematology (148 citations), Genetics (85 citations), Molecular Biology (109 citations), Rheumatology (13 citations) and Immunology (11 citations). Jun Imagawa has collaborated with scholars based in Japan. Frequent co-authors include Hironori Harada, Yuka Harada, Akiro Kimura, Ye Ding, Taiichi Kyo, A Kimura, Yahui Ding, Toshiya Inaba, Hiromasa Niimi and Atsushi Iwama. Their work appears in journals such as International Journal of Hematology, Blood, Leukemia, Blood Advances 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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