André da Costa
Impact in
- Biomaterials top 5%
- Silk-based biomaterials and applications
- Electrospun Nanofibers in Biomedical Applications
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
- Biomaterials 21
- Silk-based biomaterials and applications 16
- Electrospun Nanofibers in Biomedical Applications 5
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- Biochemical and Structural Characterization 8
- Viral Infectious Diseases and Gene Expression in Insects 3
- Co-authors
- Raúl Machado (25 shared papers)Margarida Casal (18 shared papers)Andreia C. Gomes (13 shared papers)Ana Margarida Pereira (11 shared papers)José Carlos Rodríguez‐Cabello (7 shared papers)Tony Collins (6 shared papers)Vítor Sencadas (5 shared papers)S. Lanceros‐Méndez (4 shared papers)
In The Last Decade
André da Costa
27 papers receiving 446 citations
Peers
Comparison fields: 5 of 82
- Biomaterials 228
- Microbiology 61
- Genetics 73
- Biotechnology 21
- Pharmaceutical Science 13
Countries citing papers authored by André da Costa
This map shows the geographic impact of André da Costa'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 André da Costa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André da Costa more than expected).
Fields of papers citing papers by André da Costa
This network shows the impact of papers produced by André da Costa. 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 André da Costa. The network helps show where André da Costa may publish in the future.
Co-authors
The 25 scholars most cited alongside André da Costa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 63 | |
| 2 | 2013 | 56 | |
| 3 | 2015 | 30 | |
| 4 | 2023 | 28 | |
| 5 | 2016 | 28 | |
| 6 | 2019 | 21 | |
| 7 | 2015 | 21 | |
| 8 | 2018 | 20 | |
| 9 | 2018 | 20 | |
| 10 | 2017 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2020 | 17 | |
| 13 | 2018 | 17 | |
| 14 | 2022 | 17 | |
| 15 | 2019 | 17 | |
| 16 | 2020 | 14 | |
| 17 | 2021 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 2022 | 3 |
About André da Costa
André da Costa is a scholar working on Biomaterials, Molecular Biology, Microbiology, Genetics and Oncology, having authored 29 papers that have together received 449 indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (16 papers), Biochemical and Structural Characterization (8 papers), Antimicrobial Peptides and Activities (6 papers), Connective tissue disorders research (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Advanced Materials and Mechanics (2 papers). The work is most often cited by research in Biomaterials (228 citations), Microbiology (61 citations), Genetics (73 citations), Biotechnology (21 citations) and Pharmaceutical Science (13 citations). André da Costa has collaborated with scholars based in Portugal, Spain and Australia. Frequent co-authors include Raúl Machado, Margarida Casal, Andreia C. Gomes, Ana Margarida Pereira, José Carlos Rodríguez‐Cabello, Tony Collins, Vítor Sencadas, S. Lanceros‐Méndez, João Azevedo‐Silva and Mário Fernandes. Their work appears in journals such as Biomedical Materials, Macromolecular Bioscience, Applied Sciences, ACS Omega and Journal of Colloid and Interface 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.