Alberto Cuzzolin
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
-
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 9
- Receptor Mechanisms and Signaling 8
- Chemical Synthesis and Analysis 3
- Bioinformatics and Genomic Networks 2
- Pharmacological Receptor Mechanisms and Effects 2
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- Computational Drug Discovery Methods 7
- Co-authors
- Stefano Moro (15 shared papers)Mattia Sturlese (10 shared papers)Antonella Ciancetta (7 shared papers)Veronica Salmaso (6 shared papers)Giuseppe Deganutti (5 shared papers)Davide Sabbadin (5 shared papers)Gianni De Fabritiis (2 shared papers)José Jiménez-Luna (2 shared papers)
- Journals
- Journal of Chemical Information and Modeling (5 papers)Journal of Computer-Aided Molecular Design (2 papers)Molecules (2 papers)PLoS ONE (1 paper)Journal of Enzyme Inhibition and Medicinal Chemistry (1 paper)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Alberto Cuzzolin
18 papers receiving 482 citations
Peers
Comparison fields: 5 of 71
- Physiology 90
- Computational Theory and Mathematics 214
- Molecular Biology 384
- Cellular and Molecular Neuroscience 76
- Organic Chemistry 59
Countries citing papers authored by Alberto Cuzzolin
This map shows the geographic impact of Alberto Cuzzolin'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 Alberto Cuzzolin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Cuzzolin more than expected).
Fields of papers citing papers by Alberto Cuzzolin
This network shows the impact of papers produced by Alberto Cuzzolin. 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 Alberto Cuzzolin. The network helps show where Alberto Cuzzolin may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto Cuzzolin, 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 | 2016 | 78 | |
| 2 | 2017 | 55 | |
| 3 | 2015 | 50 | |
| 4 | 2015 | 50 | |
| 5 | 2015 | 36 | |
| 6 | 2017 | 31 | |
| 7 | 2017 | 29 | |
| 8 | 2018 | 28 | |
| 9 | 2019 | 26 | |
| 10 | 2014 | 25 | |
| 11 | 2020 | 20 | |
| 12 | 2019 | 15 | |
| 13 | 2016 | 14 | |
| 14 | 2013 | 12 | |
| 15 | 2023 | 10 | |
| 16 | 2015 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2016 | 3 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Alberto Cuzzolin
Alberto Cuzzolin is a scholar working on Molecular Biology, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Oncology, having authored 20 papers that have together received 493 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Receptor Mechanisms and Signaling (8 papers), Computational Drug Discovery Methods (7 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Chemical Synthesis and Analysis (3 papers), Adenosine and Purinergic Signaling (2 papers), Bioinformatics and Genomic Networks (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Physiology (90 citations), Computational Theory and Mathematics (214 citations), Molecular Biology (384 citations), Cellular and Molecular Neuroscience (76 citations) and Organic Chemistry (59 citations). Alberto Cuzzolin has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Stefano Moro, Mattia Sturlese, Antonella Ciancetta, Veronica Salmaso, Giuseppe Deganutti, Davide Sabbadin, Gianni De Fabritiis, José Jiménez-Luna, Giovanni Bolcato and Zara A. Sands. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Computer-Aided Molecular Design, Molecules, PLoS ONE and Journal of Enzyme Inhibition and Medicinal Chemistry.
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.