Caterina Bossio

774 citations
18 papers · 650 indexed · h-index 12

Caterina Bossio

18 papers receiving 646 citations

Peers

Caterina Bossio
Comparison fields: 5 of 74
  • Cellular and Molecular Neuroscience 308
  • Polymers and Plastics 209
  • Bioengineering 41
  • Biomedical Engineering 278
  • Surfaces, Coatings and Films 25
Replace Gabriele Tullii with:
Gabriele Tullii Italy
David D. Ordinario United States
Long Phan United States
Sungchul Baek Australia
Tobias Nyberg Sweden
Chin-Chen Kuo United States
Karl Svennersten Sweden
Hongbo Yu China
Jee Woong Lee South Korea
Ward G. Walkup United States
Caterina Bossio relative to Gabriele Tullii Italy Gabriele Tullii's profile →
Citations per field
00.5×1.5×
Gabriele Tullii · 1×
Citations per year

Countries citing papers authored by Caterina Bossio

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Caterina Bossio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Caterina Bossio Line = papers co-authored together Caterina Bossio links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202035
2 201934
3 201932
4 2018103
5 201850
6 201811
7 201728
8 201768
9 201730
10 201728
11 20165
12 201639
13 201638
14 20162
15 2015134
16 201310
17 20131
18
A novel hydrogel formulation as promising cell carrier
20092

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), Photoreceptor and optogenetics research (6 papers), Tissue Engineering and Regenerative Medicine (2 papers), Organic Electronics and Photovoltaics (2 papers), Photochromic and Fluorescence Chemistry (2 papers), Polymer Surface Interaction Studies (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 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.

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