Simona Arcuti
- Neurology top 2%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Neurology top 10%
- Molecular Biology
- Co-authors
- Giancarlo LogroscinoMassimiliano CopettiAndrea FontanaGiovanni RizzoDavide MartinoRodolfo SavicaRocco LiguoriMaria Alessandria
- Topics
- Amyotrophic Lateral Sclerosis Research (9 papers)Parkinson's Disease Mechanisms and Treatments (7 papers)Dementia and Cognitive Impairment Research (4 papers)
- Cited by
- NeurologyPhysiology
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Simona Arcuti
21 papers receiving 954 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Neurology 736
- Physiology 226
- Cellular and Molecular Neuroscience 136
- Neurology 130
- Molecular Biology 125
Countries citing papers authored by Simona Arcuti
This map shows the geographic impact of Simona Arcuti'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 Simona Arcuti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simona Arcuti more than expected).
Fields of papers citing papers by Simona Arcuti
This network shows the impact of papers produced by Simona Arcuti. 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 Simona Arcuti. The network helps show where Simona Arcuti may publish in the future.
Co-authorship network of co-authors of Simona Arcuti
This figure shows the co-authorship network connecting the top 25 collaborators of Simona Arcuti. A scholar is included among the top collaborators of Simona Arcuti 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 Simona Arcuti. Simona Arcuti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 21 | |
| 3 | 19 | |
| 4 | 58 | |
| 5 | 121 | |
| 6 | 19 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 35 | |
| 10 | 16 | |
| 11 | Accuracy of clinical diagnosis of Parkinson diseasebreakdown → | 584 |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 24 | |
| 15 | 1 | |
| 16 | A Novel Splice Site Mutation in GRN (p.A237fs [A>T]) in a Large Italian Family With FTD From The Apulia-FTD Registry (P2.160) | 1 |
| 17 | 16 | |
| 18 | 4 | |
| 19 | Bayesian delta normal spatio-temporal model for zero inflated biological data | 1 |
| 20 | 16 |
About Simona Arcuti
Simona Arcuti is a scholar working on Neurology, Neuropsychology and Physiological Psychology and Genetics, having authored 21 papers that have together received 975 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (9 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Dementia and Cognitive Impairment Research (4 papers). The work is most often cited by research in Neurology (736 citations), Neurology (130 citations) and Physiology (226 citations). Simona Arcuti has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Giancarlo Logroscino, Massimiliano Copetti, Andrea Fontana, Giovanni Rizzo, Davide Martino, Rodolfo Savica, Rocco Liguori, Maria Alessandria, Benôıt Marin and Pierre‐Marie Preux. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.