Silvia Piacentini
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology top 10%
- Neurology top 2%
- Physiology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Sandro SorbiMario MascalchiBenedetta NacmiasRiccardo Della NaveCarlo TessaPaolo ForleoStefania LatorracaAndrea Ginestroni
- Topics
- Genetic Neurodegenerative Diseases (30 papers)Mitochondrial Function and Pathology (25 papers)Alzheimer's disease research and treatments (22 papers)
- Journals
- PLoS ONENeuroImageNeurology
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Silvia Piacentini
72 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 102
- Cellular and Molecular Neuroscience 951
- Molecular Biology 916
- Neurology 670
- Physiology 597
- Radiology, Nuclear Medicine and Imaging 328
Countries citing papers authored by Silvia Piacentini
This map shows the geographic impact of Silvia Piacentini'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 Silvia Piacentini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Piacentini more than expected).
Fields of papers citing papers by Silvia Piacentini
This network shows the impact of papers produced by Silvia Piacentini. 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 Silvia Piacentini. The network helps show where Silvia Piacentini may publish in the future.
Co-authorship network of co-authors of Silvia Piacentini
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Piacentini. A scholar is included among the top collaborators of Silvia Piacentini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Silvia Piacentini. Silvia Piacentini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 35 | |
| 3 | 33 | |
| 4 | 7 | |
| 5 | 74 | |
| 6 | 43 | |
| 7 | Morphometry and 1H-MR Spectroscopy of the Brain Stem and Cerebellum in Three Patients with Fragile X-Associated Tremor/Ataxia Syndrome | 8 |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 31 | |
| 11 | 29 | |
| 12 | 10 | |
| 13 | 101 | |
| 14 | 10 | |
| 15 | 28 | |
| 16 | 14 | |
| 17 | 24 | |
| 18 | 17 | |
| 19 | 66 | |
| 20 | 21 |
About Silvia Piacentini
Silvia Piacentini is a scholar working on Cellular and Molecular Neuroscience, Neurology and Clinical Biochemistry, having authored 74 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (30 papers), Mitochondrial Function and Pathology (25 papers) and Alzheimer's disease research and treatments (22 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (951 citations), Neurology (670 citations) and Physiology (597 citations). Silvia Piacentini has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Sandro Sorbi, Mario Mascalchi, Benedetta Nacmias, Riccardo Della Nave, Carlo Tessa, Paolo Forleo, Stefania Latorraca, Andrea Ginestroni, Luigi Amaducci and Fabrizio Salvi. Their work appears in journals such as PLoS ONE, NeuroImage and Neurology.
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.