Gianluca La Rosa
- Rehabilitation top 1%
- Psychiatry and Mental health top 5%
- Neurology top 10%
- Pathology and Forensic Medicine top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Rocco Salvatore CalabròPlacido BramantiRosaria De LucaMaria Grazia MaggioMargherita RussoAntonino NaroAntonio BudaAlessia Bramanti
- Topics
- Stroke Rehabilitation and Recovery (5 papers)Transcranial Magnetic Stimulation Studies (4 papers)Multiple Sclerosis Research Studies (3 papers)
- Partner nations
- Italy
In The Last Decade
Gianluca La Rosa
21 papers receiving 717 citations
Peers
Comparison fields: 5 of 107
- Rehabilitation 293
- Psychiatry and Mental health 216
- Neurology 136
- Pathology and Forensic Medicine 127
- Cognitive Neuroscience 120
Countries citing papers authored by Gianluca La Rosa
This map shows the geographic impact of Gianluca La Rosa'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 Gianluca La Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca La Rosa more than expected).
Fields of papers citing papers by Gianluca La Rosa
This network shows the impact of papers produced by Gianluca La Rosa. 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 Gianluca La Rosa. The network helps show where Gianluca La Rosa may publish in the future.
Co-authorship network of co-authors of Gianluca La Rosa
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca La Rosa. A scholar is included among the top collaborators of Gianluca La Rosa 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 Gianluca La Rosa. Gianluca La Rosa 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 | 1 | |
| 3 | 29 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 11 | |
| 7 | Improving Healthcare Professional Psychological Well-being in Neurorehabilitation: An Exploratory Study Focusing on Work Stress. | 2 |
| 8 | 37 | |
| 9 | 19 | |
| 10 | 144 | |
| 11 | 14 | |
| 12 | 101 | |
| 13 | 5 | |
| 14 | Multiple sclerosis and non-dystrophic myotonias: do they share a common pathophysiology? | 0 |
| 15 | 7 | |
| 16 | 34 | |
| 17 | 87 | |
| 18 | 185 | |
| 19 | 20 | |
| 20 | 14 |
About Gianluca La Rosa
Gianluca La Rosa is a scholar working on Rehabilitation, Neurology and Psychiatry and Mental health, having authored 22 papers that have together received 729 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (5 papers), Transcranial Magnetic Stimulation Studies (4 papers) and Multiple Sclerosis Research Studies (3 papers). The work is most often cited by research in Rehabilitation (293 citations), Human-Computer Interaction (109 citations) and Psychiatry and Mental health (216 citations). Gianluca La Rosa has collaborated with scholars based in Italy. Frequent co-authors include Rocco Salvatore Calabrò, Placido Bramanti, Rosaria De Luca, Maria Grazia Maggio, Margherita Russo, Antonino Naro, Antonio Buda, Alessia Bramanti, Antonino Leo and Tina Balletta. Their work appears in journals such as PLoS ONE, International Journal of Environmental Research and Public Health and Medicine.
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.