Inês Miranda
Impact in
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials
- 3D Printing in Biomedical Research
- Microfluidic and Capillary Electrophoresis Applications
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Bio-sensing Technologies
- Biosensors and Analytical Detection
Papers in
-
- 3D Printing in Biomedical Research 1
- Microfluidic and Capillary Electrophoresis Applications 1
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- COVID-19 Clinical Research Studies 1
- SARS-CoV-2 detection and testing 1
- Co-authors
- João Ribeiro (2 shared papers)Rui Lima (3 shared papers)Graça Minas (3 shared papers)Andrews Souza (1 shared paper)Paulo Sousa (1 shared paper)Elisabete M. S. Castanheira (1 shared paper)Senhorinha Teixeira (1 shared paper)Bernardo Faria (1 shared paper)
- Journals
- Journal of Functional Biomaterials (1 paper)Micromachines (1 paper)Repositório Comum (Repositório Científico de Acesso Aberto de Portugal) (1 paper)MDPI (MDPI AG) (1 paper)
In The Last Decade
Inês Miranda
4 papers receiving 557 citations
Inês Miranda's Hit Papers
Peers
Comparison fields: 5 of 96
- Biomedical Engineering 371
- Surfaces, Coatings and Films 37
- Polymers and Plastics 70
- Bioengineering 28
- Biomaterials 36
Countries citing papers authored by Inês Miranda
This map shows the geographic impact of Inês Miranda'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 Inês Miranda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inês Miranda more than expected).
Fields of papers citing papers by Inês Miranda
This network shows the impact of papers produced by Inês Miranda. 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 Inês Miranda. The network helps show where Inês Miranda may publish in the future.
Co-authors
The 13 scholars most cited alongside Inês Miranda, 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 | Properties and Applications of PDMS for Biomedical Engineering: A Review Hit paper breakdown → | 2021 | 539 |
| 2 | 2022 | 27 | |
| 3 | 2015 | 2 | |
| 4 | 2021 | 1 | |
| 5 | 2015 | 0 |
About Inês Miranda
Inês Miranda is a scholar working on Biomedical Engineering, Infectious Diseases, Urban Studies, Family Practice and Sociology and Political Science, having authored 5 papers that have together received 569 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (1 paper), Sport and Mega-Event Impacts (1 paper), Diverse Aspects of Tourism Research (1 paper), SARS-CoV-2 detection and testing (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Pharmaceutical Economics and Policy (1 paper), 3D Printing in Biomedical Research (1 paper) and Microfluidic and Capillary Electrophoresis Applications (1 paper). The work is most often cited by research in Biomedical Engineering (371 citations), Surfaces, Coatings and Films (37 citations), Polymers and Plastics (70 citations), Bioengineering (28 citations) and Biomaterials (36 citations). Inês Miranda has collaborated with scholars based in Portugal and Germany. Frequent co-authors include João Ribeiro, Rui Lima, Graça Minas, Andrews Souza, Paulo Sousa, Elisabete M. S. Castanheira, Senhorinha Teixeira, Bernardo Faria, Violeta Carvalho and Susana O. Catarino. Their work appears in journals such as Journal of Functional Biomaterials, Micromachines, Repositório Comum (Repositório Científico de Acesso Aberto de Portugal) and MDPI (MDPI AG).
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.