S. Aota

1.3k citations
11 papers · 1.0k · 1 hit paper · h-index 10

Impact in

Papers in

S. Aota

11 papers receiving 1.0k citations

S. Aota's Hit Papers

The short amino acid sequence Pro-His-Ser-Arg-Asn in human fibronectin enhances cell-adhesive function. 1994 · 518 citations
5180+10+21Years since publication100200300400500

Peers

S. Aota
Comparison fields: 5 of 78
  • Immunology and Allergy 654
  • Cell Biology 350
  • Cancer Research 243
  • Surfaces, Coatings and Films 74
  • Biomaterials 131
Replace L T Furcht with:
L T Furcht United States
Shelesa A. Brew United States
Dorothy W. Kennedy United States
Mark H. Ginsberg United States
Erich K. Odermatt Germany
Kirsten Tangemann United States
J. Engel Switzerland
A Woods United States
Richard E. Bruehl United States
Purva Singh United States
S. Aota relative to L T Furcht United States L T Furcht's profile →
Citations per field
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L T Furcht · 1×
Citations per year

Countries citing papers authored by S. Aota

Since Specialization
Citations

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

Fields of papers citing papers by S. Aota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
The short amino acid sequence Pro-His-Ser-Arg-Asn in human fibronectin enhances cell-adhesive function.
Hit paper breakdown →
1994518
2 1991155
3 1991139
4 199194
5 199245
6 200424
7 199819
8
Integrin functions and signal transduction.
199717
9 200510
10 20059
11 20024

About S. Aota

S. Aota is a scholar working on Immunology and Allergy, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cell Biology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), Semiconductor materials and devices (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Low-power high-performance VLSI design (2 papers), Protease and Inhibitor Mechanisms (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Immunology and Allergy (654 citations), Cell Biology (350 citations), Cancer Research (243 citations), Surfaces, Coatings and Films (74 citations) and Biomaterials (131 citations). S. Aota has collaborated with scholars based in United States and Japan. Frequent co-authors include Kenneth M. Yamada, Motoyoshi Nomizu, Toshihiko Nagai, Steven K. Akiyama, Naomi Yamakawa, S S Yamada, Kenneth Olden, Carol Halloran, Ron D. Bowditch and EF Plow. Their work appears in journals such as Journal of Biological Chemistry, BioTechniques, The Journal of Cell Biology, Cold Spring Harbor Symposia on Quantitative Biology 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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