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)Alberto Diaspro (13 shared papers)Adalberto Camisasca (5 shared papers)Giuseppe Vicidomini (4 shared papers)Iván Coto Hernández (4 shared papers)Francesca Cella Zanacchi (5 shared papers)Paolo Bianchini (3 shared papers)Francesco De Angelis (7 shared papers)
In The Last Decade
Marta d’Amora
37 papers receiving 836 citations
Peers
Comparison fields: 5 of 116
- Structural Biology 47
- Biophysics 116
- Cell Biology 124
- Biomedical Engineering 326
- Biomaterials 91
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 157 | |
| 2 | 2017 | 64 | |
| 3 | 2017 | 43 | |
| 4 | 2020 | 41 | |
| 5 | 2020 | 40 | |
| 6 | 2013 | 40 | |
| 7 | 2020 | 37 | |
| 8 | 2018 | 33 | |
| 9 | 2021 | 33 | |
| 10 | 2014 | 30 | |
| 11 | 2018 | 29 | |
| 12 | 2016 | 27 | |
| 13 | 2022 | 26 | |
| 14 | 2023 | 26 | |
| 15 | 2017 | 23 | |
| 16 | 2016 | 23 | |
| 17 | 2016 | 22 | |
| 18 | 2019 | 20 | |
| 19 | 2020 | 18 | |
| 20 | 2021 | 15 |
About Marta d’Amora
Marta d’Amora is a scholar working on Biomedical Engineering, Materials Chemistry, Biophysics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 846 indexed citations. Recurring topics across this work include Graphene and Nanomaterials Applications (8 papers), Advanced Fluorescence Microscopy Techniques (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), Neuroscience and Neural Engineering (3 papers) and Carbon and Quantum Dots Applications (3 papers). The work is most often cited by research in Structural Biology (47 citations), Biophysics (116 citations), Cell Biology (124 citations), Biomedical Engineering (326 citations) and Biomaterials (91 citations). Marta d’Amora has collaborated with scholars based in Italy, Ireland and Spain. Frequent co-authors include Silvia Giordani, Alberto Diaspro, Adalberto Camisasca, Giuseppe Vicidomini, Iván Coto Hernández, Francesca Cella Zanacchi, Paolo Bianchini, Francesco De Angelis, Francesco Tantussi and Andrea Lamberti. Their work appears in journals such as Nanomaterials, Biophysical Journal, International Journal of Molecular Sciences, Scientific Reports 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.