Ayaka Kamada

972 citations
17 papers · 722 · h-index 11

Impact in

    • Silk-based biomaterials and applications
    • Supramolecular Self-Assembly in Materials
    • Electrospun Nanofibers in Biomedical Applications
    • biodegradable polymer synthesis and properties

Papers in

    • Silk-based biomaterials and applications 7
    • Electrospun Nanofibers in Biomedical Applications 3
    • Supramolecular Self-Assembly in Materials 2
    • Polymer Surface Interaction Studies 2

Ayaka Kamada

14 papers receiving 718 citations

Peers

Ayaka Kamada
Comparison fields: 5 of 87
  • Biomaterials 344
  • Surfaces, Coatings and Films 67
  • Food Science 123
  • Molecular Medicine 28
  • Molecular Biology 250
Replace Cécile Lara with:
Cécile Lara Switzerland
Yuxiang Tang China
Tomas Oppenheim United States
Stefanie Krenzlin France
Jorge Augusto de Moura Delezuk Brazil
Bradley William Mansel Taiwan
Riki Goldbart Israel
Jiahua Pu China
Helen Fink Sweden
Silvia Tortorella Italy
Ayaka Kamada relative to Cécile Lara Switzerland Cécile Lara's profile →
Citations per field
00.5×2×3×3.9×
Cécile Lara · 1×
Citations per year

Countries citing papers authored by Ayaka Kamada

Since Specialization
Citations

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

Fields of papers citing papers by Ayaka Kamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2021147
2 2020141
3 2021124
4 201798
5 201959
6 201950
7 202228
8 202515
9 202315
10 202314
11 202213
12 20239
13 20238
14 20251
15 20240
16 20250
17 20260

About Ayaka Kamada

Ayaka Kamada is a scholar working on Biomaterials, Surfaces, Coatings and Films, Nephrology, Food Science and Genetics, having authored 17 papers that have together received 722 indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (7 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Proteins in Food Systems (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Supramolecular Self-Assembly in Materials (2 papers), Polymer Surface Interaction Studies (2 papers), Pickering emulsions and particle stabilization (2 papers) and Insect and Arachnid Ecology and Behavior (2 papers). The work is most often cited by research in Biomaterials (344 citations), Surfaces, Coatings and Films (67 citations), Food Science (123 citations), Molecular Medicine (28 citations) and Molecular Biology (250 citations). Ayaka Kamada has collaborated with scholars based in United Kingdom, Japan and Germany. Frequent co-authors include Tuomas P. J. Knowles, Yi Shen, Aviad Levin, Marc Rodriguez‐Garcia, Francesco Simone Ruggeri, Zenon Toprakcioglu, Yufan Xu, Daniele Vigolo, Christiane Iserman and Simon Alberti. Their work appears in journals such as Proceedings of the National Academy of Sciences, Hypertension Research, Hypertension, Science Advances and Nature Reviews Materials.

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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