Amy Sutton
Impact in
- Biomedical Engineering top 10%
- Nanowire Synthesis and Applications
- 3D Printing in Biomedical Research
- Microfluidic and Bio-sensing Technologies
- Graphene and Nanomaterials Applications
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- Neuroscience and Neural Engineering
Papers in ⓘ
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- Dendrimers and Hyperbranched Polymers 2
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- Polymer Surface Interaction Studies 1
- Co-authors
- Eun Gyeong Yang (1 shared paper)Jacob T. Robinson (1 shared paper)Gavin MacBeath (1 shared paper)Taranjit S. Gujral (1 shared paper)Marsela Jorgolli (1 shared paper)Rona S. Gertner (1 shared paper)Jin Seok Lee (1 shared paper)Alex K. Shalek (1 shared paper)
- Journals
- Journal of Materials Chemistry (1 paper)Scientific Reports (1 paper)Proceedings of the National Academy of Sciences (1 paper)Biophysical Journal (1 paper)Nature Communications (1 paper)
- Partner nations
- CanadaUnited StatesSouth Korea
In The Last Decade
Amy Sutton
6 papers receiving 626 citations
Peers
Comparison fields: 5 of 78
- Biomedical Engineering 388
- Cellular and Molecular Neuroscience 155
- Surfaces, Coatings and Films 34
- Biomaterials 55
- Cell Biology 60
Countries citing papers authored by Amy Sutton
This map shows the geographic impact of Amy Sutton'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 Amy Sutton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Sutton more than expected).
Fields of papers citing papers by Amy Sutton
This network shows the impact of papers produced by Amy Sutton. 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 Amy Sutton. The network helps show where Amy Sutton may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Sutton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 466 | |
| 2 | 2017 | 102 | |
| 3 | 2016 | 28 | |
| 4 | 2009 | 22 | |
| 5 | 2008 | 17 | |
| 6 | 2021 | 1 |
About Amy Sutton
Amy Sutton is a scholar working on Polymers and Plastics, Surfaces, Coatings and Films, Cell Biology, Electronic, Optical and Magnetic Materials and Biomaterials, having authored 6 papers that have together received 636 indexed citations. Recurring topics across this work include Dendrimers and Hyperbranched Polymers (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers), Cellular Mechanics and Interactions (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper), Polymer Surface Interaction Studies (1 paper), 3D Printing in Biomedical Research (1 paper) and Bone Tissue Engineering Materials (1 paper). The work is most often cited by research in Biomedical Engineering (388 citations), Cellular and Molecular Neuroscience (155 citations), Surfaces, Coatings and Films (34 citations), Biomaterials (55 citations) and Cell Biology (60 citations). Amy Sutton has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Eun Gyeong Yang, Jacob T. Robinson, Gavin MacBeath, Taranjit S. Gujral, Marsela Jorgolli, Rona S. Gertner, Jin Seok Lee, Alex K. Shalek, Myung‐Han Yoon and Hongkun Park. Their work appears in journals such as Journal of Materials Chemistry, Scientific Reports, Proceedings of the National Academy of Sciences, Biophysical Journal and Nature Communications.
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.