Shinya Aono

732 citations
9 papers · 602 · h-index 6

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Cellular Mechanics and Interactions
    • Hippo pathway signaling and YAP/TAZ

Papers in

Shinya Aono

9 papers receiving 592 citations

Peers

Shinya Aono
Comparison fields: 5 of 73
  • Aging 55
  • Cell Biology 237
  • Neurology 107
  • Immunology and Allergy 60
  • Molecular Biology 433
Replace Tetsuo Ichii with:
Tetsuo Ichii Japan
Gayle A. Shinder Canada
Erika Garay Mexico
Anastasia Mashukova United States
Wan Hee Yoon United States
Hisae Kikuchi Japan
Deepika Vasudevan United States
Dalia Halawani United States
Kathleen A. Siemers United States
Shinya Aono relative to Tetsuo Ichii Japan Tetsuo Ichii's profile →
Citations per field
00.5×4.2×
Tetsuo Ichii · 1×
Citations per year

Countries citing papers authored by Shinya Aono

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Aono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Shinya Aono, 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 Shinya Aono Line = papers co-authored together Shinya Aono links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1999197
2 2006182
3 200877
4 200064
5 200443
6 201033
7 19963
8 20042
9
Activation of the E-cadherin adhesion system by trypsin treatment
19951

About Shinya Aono

Shinya Aono is a scholar working on Molecular Biology, Cell Biology, Aging, Surgery and Genetics, having authored 9 papers that have together received 602 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (4 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Muon and positron interactions and applications (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Circadian rhythm and melatonin (1 paper), Intermetallics and Advanced Alloy Properties (1 paper), Photosynthetic Processes and Mechanisms (1 paper) and Ginger and Zingiberaceae research (1 paper). The work is most often cited by research in Aging (55 citations), Cell Biology (237 citations), Neurology (107 citations), Immunology and Allergy (60 citations) and Molecular Biology (433 citations). Shinya Aono has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Masatoshi Takeichi, Shinichi Nakagawa, Albert B. Reynolds, Tetsuhisa Otani, Tetsuo Ichii, Yohei Hirai, Kenneth J. Kemphues, Tadao Usui, Tadashi Uemura and Renaud Legouis. Their work appears in journals such as The Journal of Cell Biology, Cell Structure and Function, Philosophical Transactions of the Royal Society B Biological Sciences, QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY and Developmental Biology.

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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