Satoka Mita

564 citations
8 papers · 463 · h-index 8

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Proteoglycans and glycosaminoglycans research

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Fungal and yeast genetics research 3
    • Heat shock proteins research 1
    • DNA Repair Mechanisms 1
    • Proteoglycans and glycosaminoglycans research 3

Satoka Mita

8 papers receiving 461 citations

Peers

Satoka Mita
Comparison fields: 5 of 64
  • Aging 75
  • Cell Biology 280
  • Immunology and Allergy 35
  • Molecular Biology 329
  • Cancer Research 23
Replace Ian Greenberg with:
Ian Greenberg United States
Reto S. Kohler Switzerland
Yuko Tone Japan
Immanuel Lerner Israel
Wenli Zhang China
Luisa Capalbo United Kingdom
Fredrik Noborn Sweden
Hyun Jung Oh South Korea
York Kamenisch Germany
Satoka Mita relative to Ian Greenberg United States Ian Greenberg's profile →
Citations per field
00.5×10×20×33×
Ian Greenberg · 1×
Citations per year

Countries citing papers authored by Satoka Mita

Since Specialization
Citations

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

Fields of papers citing papers by Satoka Mita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2004230
2 200092
3 200835
4 200029
5 200928
6 200720
7 200917
8 200512

About Satoka Mita

Satoka Mita is a scholar working on Molecular Biology, Cell Biology, Aging, Organic Chemistry and Immunology and Allergy, having authored 8 papers that have together received 463 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Proteoglycans and glycosaminoglycans research (3 papers), Fungal and yeast genetics research (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Carbohydrate Chemistry and Synthesis (2 papers), Cell Adhesion Molecules Research (1 paper), Heat shock proteins research (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Aging (75 citations), Cell Biology (280 citations), Immunology and Allergy (35 citations), Molecular Biology (329 citations) and Cancer Research (23 citations). Satoka Mita has collaborated with scholars based in Japan and United States. Frequent co-authors include Koji Kimata, Hirofumi Aiba, Hokuto Ohtsuka, Yoshihiro Maruo, Hiroshi Satō, Ikuko Kakizaki, Naoki Itano, Masahiko Endo, Keiichi Takagaki and Reiji Kannagi. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - General Subjects and FEMS Yeast 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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