Yasuhiro Ikawa

579 citations
48 papers · 319 · h-index 10

Impact in

  • Hematology top 10%
    • Autoimmune and Inflammatory Disorders Research
    • Hemoglobinopathies and Related Disorders
    • Virus-based gene therapy research

Papers in

    • Autoimmune and Inflammatory Disorders Research 4
    • Acute Myeloid Leukemia Research 3
    • CRISPR and Genetic Engineering 3

Yasuhiro Ikawa

44 papers receiving 311 citations

Peers

Yasuhiro Ikawa
Comparison fields: 5 of 57
  • Hematology 69
  • Genetics 45
  • Rheumatology 35
  • Immunology 48
  • Immunology and Allergy 12
Replace Mikiya Endo with:
Mikiya Endo Japan
Chantal Brouzes France
Anna Olewicz‐Gawlik Poland
Yuji Hirata Japan
Beatriz Pérez‐Romano Mexico
Julie Peltier France
Yoko Shioda Japan
G. R. Burmester Germany
Thomas Kühr Austria
R André Switzerland
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Citations per field
00.5×3.4×
Mikiya Endo · 1×
Citations per year

Countries citing papers authored by Yasuhiro Ikawa

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Ikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yasuhiro Ikawa, 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 Yasuhiro Ikawa Line = papers co-authored together Yasuhiro Ikawa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201950
2 201933
3 202027
4 200524
5 201617
6 201413
7 200911
8 200711
9 202310
10
Hemopoietic neoplasms in lethally irradiated mice repopulated with bone marrow cells carrying the human c-myc oncogene: a repopulation assay.
199210
11 20079
12 19808
13 20157
14 20237
15 20197
16 20167
17 20206
18 20185
19 20235
20 20185

About Yasuhiro Ikawa

Yasuhiro Ikawa is a scholar working on Hematology, Molecular Biology, Surgery, Genetics and Neurology, having authored 48 papers that have together received 319 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Virus-based gene therapy research (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Histiocytic Disorders and Treatments (3 papers), Acute Myeloid Leukemia Research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Hematology (69 citations), Genetics (45 citations), Rheumatology (35 citations), Immunology (48 citations) and Immunology and Allergy (12 citations). Yasuhiro Ikawa has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Akihiro Yachie, Natsumi Inoue, Masaki Shimizu, Mao Mizuta, Stefano Rivella, Annarita Miccio, Marina Cavazzana, Janet L. Kwiatkowski, Elisa Magrin and Yutaka Saikawa. Their work appears in journals such as International Journal of Hematology, Blood, Lara D. Veeken, Journal of Pediatric Hematology/Oncology and Journal of Clinical Oncology.

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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