Magda Silva

423 citations
11 papers · 290 · h-index 6

Impact in

Papers in

    • Graphene and Nanomaterials Applications 6
    • Bone Tissue Engineering Materials 4
    • biodegradable polymer synthesis and properties 3
    • Electrospun Nanofibers in Biomedical Applications 2
    • Silk-based biomaterials and applications 1

Magda Silva

10 papers receiving 285 citations

Peers

Magda Silva
Comparison fields: 5 of 50
  • Biomaterials 98
  • Orthopedics and Sports Medicine 39
  • Automotive Engineering 53
  • Biomedical Engineering 157
  • Polymers and Plastics 42
Replace L. T. Volova with:
L. T. Volova Russia
Patrik Stenlund Sweden
Yiyan Peng United States
Atsushi Sugino Japan
Wenchao Li China
Laldinthari Suamte India
Saeid Esmaeili Iran
Jiyao Zhang China
Jana Štěpanovská Czechia
Magda Silva relative to L. T. Volova Russia L. T. Volova's profile →
Citations per field
00.5×3.8×
L. T. Volova · 1×
Citations per year

Countries citing papers authored by Magda Silva

Since Specialization
Citations

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

Fields of papers citing papers by Magda Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Magda Silva, 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 Magda Silva Line = papers co-authored together Magda Silva links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2020111
2 201774
3 202152
4 201716
5 202114
6 202312
7 20235
8 20184
9 20251
10 20211
11 20250

About Magda Silva

Magda Silva is a scholar working on Biomedical Engineering, Biomaterials, Materials Chemistry, Automotive Engineering and Organic Chemistry, having authored 11 papers that have together received 290 indexed citations. Recurring topics across this work include Graphene and Nanomaterials Applications (6 papers), Bone Tissue Engineering Materials (4 papers), biodegradable polymer synthesis and properties (3 papers), Graphene research and applications (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Education Pedagogy and Practices (1 paper) and Silk-based biomaterials and applications (1 paper). The work is most often cited by research in Biomaterials (98 citations), Orthopedics and Sports Medicine (39 citations), Automotive Engineering (53 citations), Biomedical Engineering (157 citations) and Polymers and Plastics (42 citations). Magda Silva has collaborated with scholars based in Portugal and Bulgaria. Frequent co-authors include María C. Paiva, Natália M. Alves, Fernando Ferreira, J. A. Covas, Ana C. Vale, Hugo Gonçalves, João F. Mano, Maria P. Sousa, Sofia G. Caridade and Nuno Rocha. Their work appears in journals such as Nanomaterials, Journal of Nanobiotechnology, Polymers for Advanced Technologies, RSC Advances and Journal of Composites Science.

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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