Seiichi Okabe

1.3k citations
92 papers · 969 indexed · h-index 18

Impact in

  • Hematology top 2%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 50
    • Acute Myeloid Leukemia Research 21
    • Chronic Lymphocytic Leukemia Research 34
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 9

Seiichi Okabe

87 papers receiving 953 citations

Peers

Seiichi Okabe
Comparison fields: 5 of 76
  • Hematology 417
  • Genetics 287
  • Oncology 273
  • Immunology 170
  • Molecular Biology 404
Replace Nicolas Chatain with:
Nicolas Chatain Germany
Margarete Zaborski Germany
Boris Kovačic Austria
Jorge DiMartino United States
Frédéric Barabé Canada
Yasuhiko Kamikubo Japan
Maurizio Affer United States
Nathalie Castéran France
Annabelle M. Friera United States
Ernesto Díaz-Flores United States
Seiichi Okabe relative to Nicolas Chatain Germany Nicolas Chatain's profile →
Citations per field
00.5×2.5×
Nicolas Chatain · 1×
Citations per year

Countries citing papers authored by Seiichi Okabe

Since Specialization
Citations

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

Fields of papers citing papers by Seiichi Okabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20243
4 202114
5 20208
6 201815
7 20171
8 20173
9 201716
10 201520
11 201442
12 20142
13 201335
14 201332
15 201216
16 2009112
17 200729
18 200716
19 20059
20 200213

About Seiichi Okabe

Seiichi Okabe is a scholar working on Hematology, Genetics, Rheumatology, Immunology and Allergy and Oncology, having authored 92 papers that have together received 969 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (50 papers), Chronic Lymphocytic Leukemia Research (34 papers), Acute Myeloid Leukemia Research (21 papers), Eosinophilic Disorders and Syndromes (12 papers), Protein Degradation and Inhibitors (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Hedgehog Signaling Pathway Studies (9 papers) and Histone Deacetylase Inhibitors Research (7 papers). The work is most often cited by research in Hematology (417 citations), Genetics (287 citations), Oncology (273 citations), Immunology (170 citations) and Molecular Biology (404 citations). Seiichi Okabe has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuma Ohyashiki, Tetsuzo Tauchi, Junko H. Ohyashiki, Yuko Tanaka, Hal E. Broxmeyer, Chiaki Kobayashi, Seiichiro Katagiri, Seiji Fukuda, Akihiko Gotoh and Shinya Kimura. Their work appears in journals such as Blood, Experimental Hematology, Oncotarget, PLoS ONE and Clinical Cancer Research.

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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