Satsuki Iwase

1.3k citations
37 papers · 1.2k indexed · h-index 17

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Oncology top 5%
    • Cytokine Signaling Pathways and Interactions
    • Cancer-related Molecular Pathways

Papers in

    • Acute Myeloid Leukemia Research 6
    • Chronic Lymphocytic Leukemia Research 6

Satsuki Iwase

37 papers receiving 1.1k citations

Peers

Satsuki Iwase
Comparison fields: 5 of 73
  • Hematology 244
  • Oncology 543
  • Immunology 383
  • Cancer Research 132
  • Molecular Biology 595
Replace Thamar B. van Dijk with:
Thamar B. van Dijk Netherlands
K Yamamoto Japan
Paulo De Sepulveda France
Trevor Blake United States
Franz Kohlhuber Germany
Suhu Liu United States
Rui-Yu Wang United States
A.‐C. Andres Switzerland
Boris Kovačic Austria
Kumiko Goi Japan
Satsuki Iwase relative to Thamar B. van Dijk Netherlands Thamar B. van Dijk's profile →
Citations per field
00.5×1.6×
Thamar B. van Dijk · 1×
Citations per year

Countries citing papers authored by Satsuki Iwase

Since Specialization
Citations

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

Fields of papers citing papers by Satsuki Iwase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20074
2 20041
3 200418
4 200313
5
DNA topoisomerase II inhibitor, etoposide, induces p21WAF1/CIP1 through down-regulation of c-Myc in K562 cells.
20039
6 200316
7 20023
8 2002116
9 200083
10 199916
11 19997
12 199939
13 199830
14 19987
15 19985
16 199716
17 199735
18 199770
19 199658
20 19691

About Satsuki Iwase

Satsuki Iwase is a scholar working on Hematology, Genetics, Oncology, Immunology and Physiology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), Acute Myeloid Leukemia Research (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Cell death mechanisms and regulation (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Glycosylation and Glycoproteins Research (4 papers), Erythrocyte Function and Pathophysiology (4 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Hematology (244 citations), Oncology (543 citations), Immunology (383 citations), Cancer Research (132 citations) and Molecular Biology (595 citations). Satsuki Iwase has collaborated with scholars based in Japan and United States. Frequent co-authors include Yusuke Furukawa, Hisashi Yamada, Mitsuru Nakamura, Jiro Kikuchi, Michio Matsuda, Yasuhito Terui, Yasuhiko Kano, Junko Horiguchi‐Yamada, Motoaki Ohtsubo and Atsuo T. Sasaki. Their work appears in journals such as Journal of Biological Chemistry, Blood, FEBS Letters, Leukemia Research and Molecular and Cellular Biochemistry.

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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