Caterina Bossio
- Cellular and Molecular Neuroscience top 5%
- Biomedical Engineering top 10%
- Polymers and Plastics top 10%
- Electrical and Electronic Engineering
- Materials Chemistry
- Co-authors
- Guglielmo LanzaniMaria Rosa AntognazzaElena ZucchettiNicola MartinoMattia ZangoliGiorgio E. BonacchiniMario CaironiGabriele Tullii
- Topics
- Conducting polymers and applications (9 papers)Neuroscience and Neural Engineering (7 papers)Photoreceptor and optogenetics research (6 papers)
- Partner nations
- ItalySouth KoreaSouth Africa
In The Last Decade
Caterina Bossio
18 papers receiving 646 citations
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 308
- Biomedical Engineering 278
- Polymers and Plastics 209
- Electrical and Electronic Engineering 171
- Materials Chemistry 110
Countries citing papers authored by Caterina Bossio
This map shows the geographic impact of Caterina Bossio'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 Caterina Bossio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caterina Bossio more than expected).
Fields of papers citing papers by Caterina Bossio
This network shows the impact of papers produced by Caterina Bossio. 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 Caterina Bossio. The network helps show where Caterina Bossio may publish in the future.
Co-authorship network of co-authors of Caterina Bossio
This figure shows the co-authorship network connecting the top 25 collaborators of Caterina Bossio. A scholar is included among the top collaborators of Caterina Bossio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Caterina Bossio. Caterina Bossio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 34 | |
| 3 | 32 | |
| 4 | 103 | |
| 5 | 50 | |
| 6 | 11 | |
| 7 | 28 | |
| 8 | 68 | |
| 9 | 30 | |
| 10 | 28 | |
| 11 | 5 | |
| 12 | 39 | |
| 13 | 38 | |
| 14 | 2 | |
| 15 | 134 | |
| 16 | 10 | |
| 17 | 1 | |
| 18 | A novel hydrogel formulation as promising cell carrier | 2 |
About Caterina Bossio
Caterina Bossio is a scholar working on Polymers and Plastics, Cellular and Molecular Neuroscience and Surfaces, Coatings and Films, having authored 18 papers that have together received 650 indexed citations. Recurring topics across this work include Conducting polymers and applications (9 papers), Neuroscience and Neural Engineering (7 papers) and Photoreceptor and optogenetics research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (308 citations), Polymers and Plastics (209 citations) and Bioengineering (41 citations). Caterina Bossio has collaborated with scholars based in Italy, South Korea and South Africa. Frequent co-authors include Guglielmo Lanzani, Maria Rosa Antognazza, Elena Zucchetti, Nicola Martino, Mattia Zangoli, Giorgio E. Bonacchini, Mario Caironi, Gabriele Tullii, Francesco Greco and M. Porro. Their work appears in journals such as Advanced Functional Materials, Scientific Reports and ACS Applied Materials & Interfaces.
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.