Matteo Caprioli
Impact in
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
- Molecular Medicine top 10%
- Hydrogels: synthesis, properties, applications
Papers in
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- 3D Printing in Biomedical Research 2
- Laser-Ablation Synthesis of Nanoparticles 1
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- Additive Manufacturing and 3D Printing Technologies 2
- Co-authors
- Shlomo Magdassi (2 shared papers)Ignazio Roppolo (2 shared papers)Candido Fabrizio Pirri (2 shared papers)Liraz Larush (1 shared paper)Annalisa Chiappone (1 shared paper)Andrea Lamberti (1 shared paper)Sergio Ferrero (1 shared paper)Mara Serrapede (1 shared paper)
- Journals
- Advanced Materials (1 paper)Nanotechnology (1 paper)Nature Communications (1 paper)Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (1 paper)
In The Last Decade
Matteo Caprioli
4 papers receiving 405 citations
Matteo Caprioli's Hit Papers
Peers
Comparison fields: 5 of 59
- Automotive Engineering 103
- Molecular Medicine 43
- Polymers and Plastics 104
- Biomedical Engineering 263
- Biomaterials 63
Countries citing papers authored by Matteo Caprioli
This map shows the geographic impact of Matteo Caprioli'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 Matteo Caprioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Caprioli more than expected).
Fields of papers citing papers by Matteo Caprioli
This network shows the impact of papers produced by Matteo Caprioli. 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 Matteo Caprioli. The network helps show where Matteo Caprioli may publish in the future.
Co-authors
The 20 scholars most cited alongside Matteo Caprioli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 3D-printed self-healing hydrogels via Digital Light Processing Hit paper breakdown → | 2021 | 252 |
| 2 | 2017 | 100 | |
| 3 | 2023 | 57 | |
| 4 | 2020 | 3 |
About Matteo Caprioli
Matteo Caprioli is a scholar working on Biomedical Engineering, Automotive Engineering, Radiation, Molecular Medicine and Polymers and Plastics, having authored 4 papers that have together received 412 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (2 papers), 3D Printing in Biomedical Research (2 papers), Polymer composites and self-healing (1 paper), Advanced Radiotherapy Techniques (1 paper), Supercapacitor Materials and Fabrication (1 paper), Laser-Ablation Synthesis of Nanoparticles (1 paper), Graphene research and applications (1 paper) and Hydrogels: synthesis, properties, applications (1 paper). The work is most often cited by research in Automotive Engineering (103 citations), Molecular Medicine (43 citations), Polymers and Plastics (104 citations), Biomedical Engineering (263 citations) and Biomaterials (63 citations). Matteo Caprioli has collaborated with scholars based in Italy and Israel. Frequent co-authors include Shlomo Magdassi, Ignazio Roppolo, Candido Fabrizio Pirri, Liraz Larush, Annalisa Chiappone, Andrea Lamberti, Sergio Ferrero, Mara Serrapede, E. Tresso and Marco Fontana. Their work appears in journals such as Advanced Materials, Nanotechnology, Nature Communications and Virtual Community of Pathological Anatomy (University of Castilla La Mancha).
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.