G. Sirabian
- Pathology and Forensic Medicine top 5%
- Neurology top 10%
- Rheumatology
- Developmental Neuroscience top 10%
- Neurology
- Co-authors
- Massimo FilippiA. CampiMargherita AlberoniVittorio MartinelliGiancarlo ComiN. CanalGıancarlo ComıMarco Rovaris
- Topics
- Multiple Sclerosis Research Studies (4 papers)Dementia and Cognitive Impairment Research (2 papers)Health, Environment, Cognitive Aging (1 paper)
- Journals
- NeuroImageElectroencephalography and Clinical NeurophysiologyJournal of the Neurological Sciences
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
G. Sirabian
6 papers receiving 380 citations
Peers
Comparison fields: 5 of 55
- Pathology and Forensic Medicine 347
- Neurology 134
- Rheumatology 70
- Developmental Neuroscience 63
- Neurology 52
Countries citing papers authored by G. Sirabian
This map shows the geographic impact of G. Sirabian'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 G. Sirabian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Sirabian more than expected).
Fields of papers citing papers by G. Sirabian
This network shows the impact of papers produced by G. Sirabian. 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 G. Sirabian. The network helps show where G. Sirabian may publish in the future.
Co-authorship network of co-authors of G. Sirabian
This figure shows the co-authorship network connecting the top 25 collaborators of G. Sirabian. A scholar is included among the top collaborators of G. Sirabian 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 G. Sirabian. G. Sirabian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 109 | |
| 4 | 154 | |
| 5 | 52 | |
| 6 | 83 | |
| 7 | 2 | |
| 8 | CORRELAZIONI TRA P300 UDITIVA, RISONANZA MAGNETICA DELL'ENCEFALO E TEST NEUROPSICOLOGICI NELLA SCLEROSI MULTIPLA | 0 |
| 9 | MAPPAGGIO DEI POTENZIALI EVOCATI SOMATOSENSORIALI A LUNGA LATENZA IN PAZIENTI CON SCLEROSI MULTIPLA: CORRELAZIONI CON I TEST NEUROPSICOLOGICI E LA RM DELL'ENCEFALO | 0 |
About G. Sirabian
G. Sirabian is a scholar working on Pathology and Forensic Medicine, Psychiatry and Mental health and Health, Toxicology and Mutagenesis, having authored 9 papers that have together received 401 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (4 papers), Dementia and Cognitive Impairment Research (2 papers) and Health, Environment, Cognitive Aging (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (347 citations), Developmental Neuroscience (63 citations) and Neurology (134 citations). G. Sirabian has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Massimo Filippi, A. Campi, Margherita Alberoni, Vittorio Martinelli, Giancarlo Comi, N. Canal, N. Canal, Gıancarlo Comı, Marco Rovaris and S. Mammì. Their work appears in journals such as NeuroImage, Electroencephalography and Clinical Neurophysiology and Journal of the Neurological Sciences.
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.