Ko Sasaki

1.8k citations
78 papers · 1.3k indexed · h-index 21

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Platelet Disorders and Treatments
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Acute Myeloid Leukemia Research 15
    • Chronic Myeloid Leukemia Treatments 7
    • Chronic Lymphocytic Leukemia Research 7

Ko Sasaki

73 papers receiving 1.2k citations

Peers

Ko Sasaki
Comparison fields: 5 of 95
  • Hematology 267
  • Oncology 290
  • Genetics 110
  • Immunology and Allergy 60
  • Immunology 207
Replace Irina Golovleva with:
Irina Golovleva Sweden
Philip G. Hollingshead United States
Miki Yamaguchi Japan
Roger A. Fleischman United States
George Mavrothalassitis Greece
Holly Evans United Kingdom
Patrizia Zucchini Italy
Tsaiwei Olee United States
Tetsuo Kojima Japan
William Schachterle United States
Ko Sasaki relative to Irina Golovleva Sweden Irina Golovleva's profile →
Citations per field
00.5×1.5×1.9×
Irina Golovleva · 1×
Citations per year

Countries citing papers authored by Ko Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Ko Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20221
3 202020
4 20198
5 20184
6 201744
7 20150
8 20142
9 201320
10 20102
11 200812
12 20067
13 200517
14 200322
15 200148
16 200049
17 199815
18 199767
19 1995165
20 199018

About Ko Sasaki

Ko Sasaki is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 78 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Chronic Lymphocytic Leukemia Research (7 papers), Cardiac Imaging and Diagnostics (7 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Hematology (267 citations), Oncology (290 citations), Genetics (110 citations), Immunology and Allergy (60 citations) and Immunology (207 citations). Ko Sasaki has collaborated with scholars based in Japan, Australia and India. Frequent co-authors include Kinuko Mitani, Hisamaru Hirai, Yoshio Yazaki, Yutaka Hanazono, Hiroo Ueno, Hideharu Odai, Kiyoshi Miyagawa, Akihiro Iwamatsu, Tomoyuki Tanaka and Tetsuya Yamagata. Their work appears in journals such as International Journal of Hematology, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Blood and Journal of Nuclear Cardiology.

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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