Azusa Seto

481 citations
12 papers · 391 · h-index 8

Impact in

  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
    • Hippo pathway signaling and YAP/TAZ
    • Cell Adhesion Molecules Research

Papers in

    • ATP Synthase and ATPases Research 2
    • Biochemical and Molecular Research 2
    • Ubiquitin and proteasome pathways 2
    • Melanoma and MAPK Pathways 1
    • Cellular transport and secretion 2

Azusa Seto

12 papers receiving 386 citations

Peers

Azusa Seto
Comparison fields: 5 of 65
  • Cell Biology 189
  • Immunology and Allergy 28
  • Aging 8
  • Neurology 58
  • Molecular Biology 253
Replace Masanao Toshimori with:
Masanao Toshimori Japan
David Lam France
Cécile Sauvanet France
Alexis J. Lomakin Russia
Christiane Mohr Germany
Raluca Gagescu United States
László Radnai Hungary
Lang Yoo South Korea
Georg Orberger Germany
Mariagrazia Partisani France
Azusa Seto relative to Masanao Toshimori Japan Masanao Toshimori's profile →
Citations per field
00.5×4.3×
Masanao Toshimori · 1×
Citations per year

Countries citing papers authored by Azusa Seto

Since Specialization
Citations

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

Fields of papers citing papers by Azusa Seto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2006137
2 200295
3 200465
4 200834
5 201216
6 200111
7 200410
8 20088
9 19756
10 20215
11 20042
12 20032

About Azusa Seto

Azusa Seto is a scholar working on Molecular Biology, Cell Biology, Oncology, Genetics and Materials Chemistry, having authored 12 papers that have together received 391 indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (2 papers), Biochemical and Molecular Research (2 papers), Cancer-related Molecular Pathways (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Enzyme Structure and Function (2 papers), Cellular transport and secretion (2 papers), Ubiquitin and proteasome pathways (2 papers) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Cell Biology (189 citations), Immunology and Allergy (28 citations), Aging (8 citations), Neurology (58 citations) and Molecular Biology (253 citations). Azusa Seto has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Toshiyuki Shimizu, Nobuo Maita, Toshio Hakoshima, Mikako Shirouzu, Sachiko Tsukita, Keisuke Hamada, Kazutaka Murayama, Shöichiro Tsukita, Shigeyuki Yokoyama and Shiro Suetsugu. Their work appears in journals such as Journal of Biological Chemistry, Proteins Structure Function and Bioinformatics, The EMBO Journal, Early Child Development and Care and Experimental Biology and Medicine.

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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