S Sunaga

496 citations
6 papers · 423 · h-index 4

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • IL-33, ST2, and ILC Pathways
  • Hematology top 10%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion

Papers in

    • PI3K/AKT/mTOR signaling in cancer 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Inflammatory mediators and NSAID effects 2

S Sunaga

6 papers receiving 417 citations

Peers

S Sunaga
Comparison fields: 5 of 57
  • Immunology 255
  • Hematology 96
  • Hepatology 23
  • Oncology 76
  • Immunology and Allergy 12
Replace Masami Niiya with:
Masami Niiya Japan
Aarti Damle United States
R Motta France
Benjamin B. Mull United States
Laurindo Ferreira da Rocha Brazil
Lonnette Diggs United States
Tiphaine Godefroy France
Laurent Knafo Canada
Charles C. Douglass United States
Fumimaro Takaku Japan
S Sunaga relative to Masami Niiya Japan Masami Niiya's profile →
Citations per field
00.5×
Masami Niiya · 1×
Citations per year

Countries citing papers authored by S Sunaga

Since Specialization
Citations

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

Fields of papers citing papers by S Sunaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 1996270
2 199885
3 199733
4 199131
5
[Essential thrombocythemia in transformation from myelodysplastic syndrome to acute myeloid leukemia with inv(3) after treatment for gastric cancer].
20002
6 19912

About S Sunaga

S Sunaga is a scholar working on Molecular Biology, Pharmacology, Genetics, Hematology and Immunology, having authored 6 papers that have together received 423 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), T-cell and B-cell Immunology (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Immune Cell Function and Interaction (2 papers), Inflammatory mediators and NSAID effects (2 papers), Renal Diseases and Glomerulopathies (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Immunology (255 citations), Hematology (96 citations), Hepatology (23 citations), Oncology (76 citations) and Immunology and Allergy (12 citations). S Sunaga has collaborated with scholars based in Japan. Frequent co-authors include Koichi Ikuta, Kazushige Maki, Yoshinori Komagata, Jun‐ichi Miyazaki, Ayako Mabuchi, Hajime Karasuyama, Kozo Yokomuro, Kazuhiko Koike, Kouji Miyazaki and Tomoyuki Tahara. Their work appears in journals such as Blood, The Journal of Immunology, Thrombosis and Haemostasis, Proceedings of the National Academy of Sciences 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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