Marcello Berto
Impact in
- Bioengineering top 1%
- Analytical Chemistry and Sensors
- Polymers and Plastics top 5%
- Conducting polymers and applications
Papers in
-
- Electrochemical sensors and biosensors 8
- Molecular Junctions and Nanostructures 6
- Advanced Memory and Neural Computing 6
- Organic Electronics and Photovoltaics 4
-
- Conducting polymers and applications 17
- Co-authors
- Carlo Augusto Bortolotti (33 shared papers)Fabio Biscarini (32 shared papers)Michele Di Lauro (18 shared papers)Matteo Sensi (17 shared papers)Daniel T. Simon (6 shared papers)Magnus Berggren (5 shared papers)Marcello Pinti (7 shared papers)Chiara Diacci (4 shared papers)
In The Last Decade
Marcello Berto
36 papers receiving 794 citations
Peers
Comparison fields: 5 of 72
- Bioengineering 306
- Polymers and Plastics 369
- Electrochemistry 65
- Electrical and Electronic Engineering 474
- Cellular and Molecular Neuroscience 140
Countries citing papers authored by Marcello Berto
This map shows the geographic impact of Marcello Berto'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 Marcello Berto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcello Berto more than expected).
Fields of papers citing papers by Marcello Berto
This network shows the impact of papers produced by Marcello Berto. 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 Marcello Berto. The network helps show where Marcello Berto may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcello Berto, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 76 | |
| 2 | 2017 | 70 | |
| 3 | 2016 | 60 | |
| 4 | 2018 | 57 | |
| 5 | 2018 | 50 | |
| 6 | 2017 | 48 | |
| 7 | 2020 | 41 | |
| 8 | 2017 | 41 | |
| 9 | 2017 | 32 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 27 | |
| 12 | 2019 | 25 | |
| 13 | 2022 | 24 | |
| 14 | 2023 | 22 | |
| 15 | 2023 | 22 | |
| 16 | 2019 | 20 | |
| 17 | 2013 | 19 | |
| 18 | 2021 | 19 | |
| 19 | 2016 | 18 | |
| 20 | 2023 | 17 |
About Marcello Berto
Marcello Berto is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Bioengineering, Molecular Biology and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 808 indexed citations. Recurring topics across this work include Conducting polymers and applications (17 papers), Analytical Chemistry and Sensors (13 papers), Neuroscience and Neural Engineering (10 papers), Advanced biosensing and bioanalysis techniques (9 papers), Electrochemical sensors and biosensors (8 papers), Molecular Junctions and Nanostructures (6 papers), Advanced Memory and Neural Computing (6 papers) and Organic Electronics and Photovoltaics (4 papers). The work is most often cited by research in Bioengineering (306 citations), Polymers and Plastics (369 citations), Electrochemistry (65 citations), Electrical and Electronic Engineering (474 citations) and Cellular and Molecular Neuroscience (140 citations). Marcello Berto has collaborated with scholars based in Italy, Sweden and France. Frequent co-authors include Carlo Augusto Bortolotti, Fabio Biscarini, Michele Di Lauro, Matteo Sensi, Daniel T. Simon, Magnus Berggren, Marcello Pinti, Chiara Diacci, Valerio Beni and Marco Borsari. Their work appears in journals such as Advanced Functional Materials, ACS Applied Materials & Interfaces, Advanced Electronic Materials, Analytical Chemistry and Advanced 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.