S Numata

477 citations
5 papers · 406 · h-index 5

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics
    • Signaling Pathways in Disease
    • Lipid Membrane Structure and Behavior

Papers in

    • Ubiquitin and proteasome pathways 3
    • Epigenetics and DNA Methylation 1
    • Signaling Pathways in Disease 1
    • Biochemical and Structural Characterization 1
    • Retinoids in leukemia and cellular processes 1
    • Cancer-related Molecular Pathways 1

S Numata

5 papers receiving 402 citations

Peers

S Numata
Comparison fields: 5 of 42
  • Cell Biology 131
  • Molecular Biology 360
  • Cancer Research 73
  • Physiology 17
  • Hematology 35
Replace Anthony C.B. Lim with:
Anthony C.B. Lim Singapore
Zaira García Spain
Jing-Qing Luo United States
Kazutsune Yamagata Japan
A. Le United States
Rosine Onclercq-Delic France
Dong Wu China
Junying Qin China
Leena Ackermann Netherlands
Jessica Herbst Germany
S Numata relative to Anthony C.B. Lim Singapore Anthony C.B. Lim's profile →
Citations per field
00.5×2.8×
Anthony C.B. Lim · 1×
Citations per year

Countries citing papers authored by S Numata

Since Specialization
Citations

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

Fields of papers citing papers by S Numata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside S Numata, 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 Numata Line = papers co-authored together S Numata links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About S Numata

S Numata is a scholar working on Molecular Biology, Oncology, Public Health, Environmental and Occupational Health, Hematology and Cell Biology, having authored 5 papers that have together received 406 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Epigenetics and DNA Methylation (1 paper), Signaling Pathways in Disease (1 paper), Biochemical and Structural Characterization (1 paper), Retinoids in leukemia and cellular processes (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Cancer-related Molecular Pathways (1 paper) and Histiocytic Disorders and Treatments (1 paper). The work is most often cited by research in Cell Biology (131 citations), Molecular Biology (360 citations), Cancer Research (73 citations), Physiology (17 citations) and Hematology (35 citations). S Numata has collaborated with scholars based in Japan and United States. Frequent co-authors include Carlo M. Croce, Hideshi Ishii, Masatoshi Ichihara, Masahide Takahashi, Yoshiki Murakumo, Yukiko Ogura, Richard Fishel, Masayuki Miyazaki, Keizo Horibe and Ken Wada. Their work appears in journals such as Journal of Biological Chemistry, Leukemia 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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