Toshiya Inaba

6.7k citations
123 papers · 4.6k · h-index 37

Impact in

  • Hematology top 0.5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 2%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Cell death mechanisms and regulation 14
    • Epigenetics and DNA Methylation 11
    • Protein Degradation and Inhibitors 10
    • DNA Repair Mechanisms 9
    • RNA Research and Splicing 8
    • Acute Myeloid Leukemia Research 42
    • Chronic Myeloid Leukemia Treatments 18

Toshiya Inaba

119 papers receiving 4.6k citations

Peers

Toshiya Inaba
Comparison fields: 5 of 111
  • Hematology 1.7k
  • Genetics 496
  • Aging 68
  • Molecular Biology 2.5k
  • Cancer Research 444
Replace Issay Kitabayashi with:
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Alan D. Friedman United States
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Toshiya Inaba relative to Issay Kitabayashi Japan Issay Kitabayashi's profile →
Citations per field
00.5×2.5×
Issay Kitabayashi · 1×
Citations per year

Countries citing papers authored by Toshiya Inaba

Since Specialization
Citations

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

Fields of papers citing papers by Toshiya Inaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992240
2 1992228
3 2003214
4 2001183
5 1999171
6 1989152
7 2014132
8 1997127
9 2004126
10 1988120
11 2008116
12 2002110
13 2013104
14 1996104
15 200793
16 199290
17 199977
18 200574
19 199967
20 201165

About Toshiya Inaba

Toshiya Inaba is a scholar working on Molecular Biology, Hematology, Public Health, Environmental and Occupational Health, Cancer Research and Oncology, having authored 123 papers that have together received 4.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (42 papers), Chronic Myeloid Leukemia Treatments (18 papers), Acute Lymphoblastic Leukemia research (17 papers), Cell death mechanisms and regulation (14 papers), Epigenetics and DNA Methylation (11 papers), Protein Degradation and Inhibitors (10 papers), DNA Repair Mechanisms (9 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Hematology (1.7k citations), Genetics (496 citations), Aging (68 citations), Molecular Biology (2.5k citations) and Cancer Research (444 citations). Toshiya Inaba has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include A. Thomas Look, Hirotaka Matsui, Takeshi Inukai, Yuka Harada, Hironori Harada, Tetsuharu Shinjyo, Akiko Nagamachi, Hiroaki Honda, Akiro Kimura and Hiroya Asou. Their work appears in journals such as Blood, Molecular and Cellular Biology, Journal of Radiation Research, Leukemia and Cancer Science.

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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