F. Benfenati
Impact in
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- Conducting polymers and applications
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
Papers in
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- Neuroscience and Neural Engineering 1
- Neuroscience and Neuropharmacology Research 1
- Photoreceptor and optogenetics research 1
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- Dark Matter and Cosmic Phenomena 2
- Neutrino Physics Research 2
- Astrophysics and Cosmic Phenomena 2
- Co-authors
- Guglielmo Lanzani (1 shared paper)Maria Rosa Antognazza (1 shared paper)Nicola Martino (1 shared paper)Diego Ghezzi (1 shared paper)Enrico Castroflorio (1 shared paper)Marta Orlando (1 shared paper)Pietro Baldelli (1 shared paper)Pierluigi Valente (1 shared paper)
- Journals
- Journal of Instrumentation (1 paper)Molecular Neurobiology (1 paper)Journal of Materials Chemistry B (1 paper)UvA-DARE (University of Amsterdam) (1 paper)EPJ Web of Conferences (1 paper)
In The Last Decade
F. Benfenati
4 papers receiving 122 citations
Peers
Comparison fields: 5 of 37
- Polymers and Plastics 43
- Cellular and Molecular Neuroscience 50
- Bioengineering 7
- Aging 2
- Electrical and Electronic Engineering 58
Countries citing papers authored by F. Benfenati
This map shows the geographic impact of F. Benfenati'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 F. Benfenati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Benfenati more than expected).
Fields of papers citing papers by F. Benfenati
This network shows the impact of papers produced by F. Benfenati. 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 F. Benfenati. The network helps show where F. Benfenati may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Benfenati, 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 | 2013 | 91 | |
| 2 | 2017 | 28 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 0 |
About F. Benfenati
F. Benfenati is a scholar working on Cellular and Molecular Neuroscience, Nuclear and High Energy Physics, Molecular Biology, Astronomy and Astrophysics and Polymers and Plastics, having authored 5 papers that have together received 123 indexed citations. Recurring topics across this work include Dark Matter and Cosmic Phenomena (2 papers), Neutrino Physics Research (2 papers), Astrophysics and Cosmic Phenomena (2 papers), Genomics and Chromatin Dynamics (1 paper), Neuroscience and Neural Engineering (1 paper), Conducting polymers and applications (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Polymers and Plastics (43 citations), Cellular and Molecular Neuroscience (50 citations), Bioengineering (7 citations), Aging (2 citations) and Electrical and Electronic Engineering (58 citations). F. Benfenati has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include Guglielmo Lanzani, Maria Rosa Antognazza, Nicola Martino, Diego Ghezzi, Enrico Castroflorio, Marta Orlando, Pietro Baldelli, Pierluigi Valente, Anna Rocchi and Gabriele Lignani. Their work appears in journals such as Journal of Instrumentation, Molecular Neurobiology, Journal of Materials Chemistry B, UvA-DARE (University of Amsterdam) and EPJ Web of Conferences.
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.