Da Silva
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Nanoplatforms for cancer theranostics 6
-
- Nanoparticle-Based Drug Delivery 9
- Co-authors
- Ricardo Bentes Azevedo (24 shared papers)George H. Rothblat (1 shared paper)Snehal Naik (1 shared paper)Daniel J. Rader (1 shared paper)Xun Wang (1 shared paper)Jeffrey T. Billheimer (1 shared paper)Michael Jaye (1 shared paper)Colin H. Macphee (1 shared paper)
- Journals
- Journal of Biomedical Nanotechnology (2 papers)Journal of Photochemistry and Photobiology B Biology (2 papers)Cancer (1 paper)Applied Surface Science (1 paper)Photodiagnosis and Photodynamic Therapy (1 paper)
- Partner nations
- BrazilUnited StatesAzerbaijan
In The Last Decade
Da Silva
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 123
- Genetics 152
- Biomaterials 162
- Surgery 358
- Oncology 201
- Urology 47
Countries citing papers authored by Da Silva
This map shows the geographic impact of Da 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 Da Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Silva more than expected).
Fields of papers citing papers by Da Silva
This network shows the impact of papers produced by Da 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 Da Silva. The network helps show where Da Silva may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Silva, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 301 | |
| 2 | 2016 | 152 | |
| 3 | 2014 | 88 | |
| 4 | 2016 | 84 | |
| 5 | 2015 | 80 | |
| 6 | 2012 | 55 | |
| 7 | 2016 | 54 | |
| 8 | 2017 | 50 | |
| 9 | 2018 | 48 | |
| 10 | 2011 | 47 | |
| 11 | 2016 | 39 | |
| 12 | 2018 | 29 | |
| 13 | 2016 | 28 | |
| 14 | 2020 | 25 | |
| 15 | 2012 | 23 | |
| 16 | 2016 | 22 | |
| 17 | 2018 | 17 | |
| 18 | 2011 | 16 | |
| 19 | 2018 | 11 | |
| 20 | 2017 | 8 |
About Da Silva
Da Silva is a scholar working on Biomedical Engineering, Biomaterials, Molecular Biology, Pulmonary and Respiratory Medicine and Materials Chemistry, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (9 papers), Photodynamic Therapy Research Studies (7 papers), Nanoplatforms for cancer theranostics (6 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Nanoparticles: synthesis and applications (3 papers), Advanced Drug Delivery Systems (3 papers), Mesenchymal stem cell research (2 papers) and Trypanosoma species research and implications (2 papers). The work is most often cited by research in Genetics (152 citations), Biomaterials (162 citations), Surgery (358 citations), Oncology (201 citations) and Urology (47 citations). Da Silva has collaborated with scholars based in Brazil, United States and Azerbaijan. Frequent co-authors include Ricardo Bentes Azevedo, George H. Rothblat, Snehal Naik, Daniel J. Rader, Xun Wang, Jeffrey T. Billheimer, Michael Jaye, Colin H. Macphee, Muredach P. Reilly and Daniela Mara de Oliveira. Their work appears in journals such as Journal of Biomedical Nanotechnology, Journal of Photochemistry and Photobiology B Biology, Cancer, Applied Surface Science and Photodiagnosis and Photodynamic Therapy.
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.