Luca Berdondini
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neural Engineering 82
- Photoreceptor and optogenetics research 19
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 50
- EEG and Brain-Computer Interfaces 13
- Electrochemistry top 2%
- Electrochemical Analysis and Applications 14
- Bioengineering top 5%
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- Advanced Memory and Neural Computing 32
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- 3D Printing in Biomedical Research 8
- Analog and Mixed-Signal Circuit Design 7
- Co-authors
- Alessandro MaccioneM. Koudelka‐HepSérgio MartinoiaHayder AminKilian ImfeldThierry NieusGian Nicola AngotziMichela Chiappalone
- Journals
- Advanced Materials (1 paper)Nature Communications (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
Luca Berdondini
102 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 117
- Cellular and Molecular Neuroscience 2.2k
- Cognitive Neuroscience 1.4k
- Electrochemistry 213
- Endocrine and Autonomic Systems 182
- Bioengineering 107
Countries citing papers authored by Luca Berdondini
This map shows the geographic impact of Luca Berdondini'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 Luca Berdondini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Berdondini more than expected).
Fields of papers citing papers by Luca Berdondini
This network shows the impact of papers produced by Luca Berdondini. 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 Luca Berdondini. The network helps show where Luca Berdondini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luca Berdondini, 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 | 2025 | 5 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 8 | |
| 7 | 2020 | 15 | |
| 8 | 2019 | 0 | |
| 9 | 2018 | 14 | |
| 10 | 2018 | 15 | |
| 11 | 2018 | 5 | |
| 12 | 2017 | 169 | |
| 13 | 2017 | 7 | |
| 14 | 2016 | 84 | |
| 15 | 2015 | 22 | |
| 16 | 2014 | 2 | |
| 17 | 2014 | 7 | |
| 18 | 2013 | 19 | |
| 19 | 2012 | 46 | |
| 20 | 2004 | 88 |
About Luca Berdondini
Luca Berdondini is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrochemistry, having authored 104 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (82 papers), Neural dynamics and brain function (50 papers), Advanced Memory and Neural Computing (32 papers), Photoreceptor and optogenetics research (19 papers), Electrochemical Analysis and Applications (14 papers), EEG and Brain-Computer Interfaces (13 papers), 3D Printing in Biomedical Research (8 papers) and Analog and Mixed-Signal Circuit Design (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.2k citations), Cognitive Neuroscience (1.4k citations) and Electrochemistry (213 citations). Luca Berdondini has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Alessandro Maccione, M. Koudelka‐Hep, Sérgio Martinoia, Hayder Amin, Kilian Imfeld, Thierry Nieus, Gian Nicola Angotzi, Michela Chiappalone, Simon Neukom and Davide De Pietri Tonelli. Their work appears in journals such as Advanced Materials, Nature Communications and Journal of Neuroscience.
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.