Marta d’Amora
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Graphene and Nanomaterials Applications 8
- Laser-Ablation Synthesis of Nanoparticles 4
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- Nanoparticles: synthesis and applications 7
- Carbon and Quantum Dots Applications 3
- Co-authors
- Silvia Giordani (14 shared papers)Adalberto Camisasca (5 shared papers)Alberto Diaspro (13 shared papers)Giuseppe Vicidomini (4 shared papers)Iván Coto Hernández (4 shared papers)Francesco De Angelis (8 shared papers)Francesco Tantussi (8 shared papers)Francesca Cella Zanacchi (5 shared papers)
In The Last Decade
Marta d’Amora
37 papers receiving 875 citations
Peers
Comparison fields: 5 of 113
- Structural Biology 47
- Biophysics 116
- Cell Biology 131
- Biomedical Engineering 329
- Biomaterials 84
Countries citing papers authored by Marta d’Amora
This map shows the geographic impact of Marta d’Amora'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 Marta d’Amora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta d’Amora more than expected).
Fields of papers citing papers by Marta d’Amora
This network shows the impact of papers produced by Marta d’Amora. 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 Marta d’Amora. The network helps show where Marta d’Amora may publish in the future.
Co-authors
The 25 scholars most cited alongside Marta d’Amora, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 168 | |
| 2 | 2017 | 65 | |
| 3 | 2020 | 44 | |
| 4 | 2017 | 43 | |
| 5 | 2013 | 40 | |
| 6 | 2020 | 40 | |
| 7 | 2020 | 40 | |
| 8 | 2021 | 37 | |
| 9 | 2018 | 33 | |
| 10 | 2014 | 30 | |
| 11 | 2018 | 30 | |
| 12 | 2023 | 28 | |
| 13 | 2016 | 27 | |
| 14 | 2022 | 26 | |
| 15 | 2017 | 24 | |
| 16 | 2016 | 23 | |
| 17 | 2016 | 22 | |
| 18 | 2019 | 20 | |
| 19 | 2020 | 18 | |
| 20 | 2021 | 16 |
About Marta d’Amora
Marta d’Amora is a scholar working on Biomedical Engineering, Materials Chemistry, Molecular Biology, Biophysics and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 882 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (8 papers), Graphene and Nanomaterials Applications (8 papers), Nanoparticles: synthesis and applications (7 papers), Zebrafish Biomedical Research Applications (5 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Laser-Ablation Synthesis of Nanoparticles (4 papers), Carbon and Quantum Dots Applications (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Structural Biology (47 citations), Biophysics (116 citations), Cell Biology (131 citations), Biomedical Engineering (329 citations) and Biomaterials (84 citations). Marta d’Amora has collaborated with scholars based in Italy, Ireland and Spain. Frequent co-authors include Silvia Giordani, Adalberto Camisasca, Alberto Diaspro, Giuseppe Vicidomini, Iván Coto Hernández, Francesco De Angelis, Francesco Tantussi, Francesca Cella Zanacchi, Paolo Bianchini and Andrea Lamberti. Their work appears in journals such as Biophysical Journal, Nanomaterials, International Journal of Molecular Sciences, Nano Letters and Colloids and Surfaces B Biointerfaces.
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.