Federica Solca
Impact in
Papers in
- Neurology 38
- Amyotrophic Lateral Sclerosis Research 30
- Parkinson's Disease Mechanisms and Treatments 17
- Neurological disorders and treatments 11
- Co-authors
- Barbara Poletti (52 shared papers)Vincenzo Silani (50 shared papers)Laura Carelli (31 shared papers)Nicola Ticozzi (37 shared papers)Andrea Faini (10 shared papers)Federico Verde (28 shared papers)Giuseppe Riva (9 shared papers)P. Meriggi (9 shared papers)
- Journals
- Neurological Sciences (10 papers)Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration (8 papers)Frontiers in Psychology (6 papers)Frontiers in Aging Neuroscience (4 papers)PLoS ONE (4 papers)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Federica Solca
52 papers receiving 667 citations
Peers
Comparison fields: 5 of 77
- Neurology 432
- Genetics 118
- Cognitive Neuroscience 182
- Human-Computer Interaction 41
- Psychiatry and Mental health 103
Countries citing papers authored by Federica Solca
This map shows the geographic impact of Federica Solca'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 Federica Solca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Solca more than expected).
Fields of papers citing papers by Federica Solca
This network shows the impact of papers produced by Federica Solca. 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 Federica Solca. The network helps show where Federica Solca may publish in the future.
Co-authors
The 25 scholars most cited alongside Federica Solca, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 131 | |
| 2 | 2017 | 74 | |
| 3 | 2012 | 48 | |
| 4 | 2018 | 40 | |
| 5 | 2017 | 26 | |
| 6 | 2020 | 24 | |
| 7 | 2022 | 23 | |
| 8 | 2017 | 20 | |
| 9 | 2018 | 18 | |
| 10 | 2011 | 18 | |
| 11 | 2018 | 16 | |
| 12 | 2020 | 15 | |
| 13 | 2022 | 15 | |
| 14 | 2016 | 14 | |
| 15 | 2022 | 12 | |
| 16 | 2018 | 12 | |
| 17 | 2023 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2013 | 10 |
About Federica Solca
Federica Solca is a scholar working on Neurology, Psychiatry and Mental health, Clinical Psychology, Cognitive Neuroscience and Pharmacology, having authored 52 papers that have together received 682 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (30 papers), Parkinson's Disease Mechanisms and Treatments (17 papers), Neurological disorders and treatments (11 papers), Cholinesterase and Neurodegenerative Diseases (9 papers), Genetic Neurodegenerative Diseases (7 papers), EEG and Brain-Computer Interfaces (7 papers), Alzheimer's disease research and treatments (6 papers) and Neurogenetic and Muscular Disorders Research (6 papers). The work is most often cited by research in Neurology (432 citations), Genetics (118 citations), Cognitive Neuroscience (182 citations), Human-Computer Interaction (41 citations) and Psychiatry and Mental health (103 citations). Federica Solca has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Barbara Poletti, Vincenzo Silani, Laura Carelli, Nicola Ticozzi, Andrea Faini, Federico Verde, Giuseppe Riva, P. Meriggi, Annalisa Lafronza and Pietro Cipresso. Their work appears in journals such as Neurological Sciences, Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, Frontiers in Psychology, Frontiers in Aging Neuroscience and PLoS ONE.
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.