M. Comola
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Transcranial Magnetic Stimulation Studies
- Parkinson's Disease Mechanisms and Treatments
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
Papers in ⓘ
-
- Stroke Rehabilitation and Recovery 11
- Neurology 11
- Transcranial Magnetic Stimulation Studies 7
- Parkinson's Disease Mechanisms and Treatments 6
- Botulinum Toxin and Related Neurological Disorders 5
- Amyotrophic Lateral Sclerosis Research 5
- Co-authors
- Gıancarlo Comı (17 shared papers)Letizia Leocani (20 shared papers)Nilo Riva (7 shared papers)Paolo Rossi (7 shared papers)Angelo Quattrini (8 shared papers)Massimo Filippi (4 shared papers)Giancarlo Comi (4 shared papers)Raffaella Fazio (5 shared papers)
In The Last Decade
M. Comola
48 papers receiving 776 citations
Peers
Comparison fields: 5 of 99
- Neurology 159
- Neurology 285
- Rehabilitation 97
- Pathology and Forensic Medicine 158
- Cellular and Molecular Neuroscience 124
Countries citing papers authored by M. Comola
This map shows the geographic impact of M. Comola'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 M. Comola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Comola more than expected).
Fields of papers citing papers by M. Comola
This network shows the impact of papers produced by M. Comola. 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 M. Comola. The network helps show where M. Comola may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Comola, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 96 | |
| 2 | 2014 | 68 | |
| 3 | 2012 | 58 | |
| 4 | 2007 | 51 | |
| 5 | 2014 | 41 | |
| 6 | 2020 | 30 | |
| 7 | 2012 | 29 | |
| 8 | 1985 | 28 | |
| 9 | 2003 | 28 | |
| 10 | 2012 | 27 | |
| 11 | 2005 | 25 | |
| 12 | 2004 | 25 | |
| 13 | 2014 | 25 | |
| 14 | 2020 | 19 | |
| 15 | 2005 | 19 | |
| 16 | 2019 | 17 | |
| 17 | 2013 | 14 | |
| 18 | 2007 | 14 | |
| 19 | 2011 | 13 | |
| 20 | 1991 | 13 |
About M. Comola
M. Comola is a scholar working on Rehabilitation, Neurology, Neurology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 50 papers that have together received 797 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (11 papers), Multiple Sclerosis Research Studies (8 papers), Transcranial Magnetic Stimulation Studies (7 papers), Muscle activation and electromyography studies (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Botulinum Toxin and Related Neurological Disorders (5 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and Genetic Neurodegenerative Diseases (5 papers). The work is most often cited by research in Neurology (159 citations), Neurology (285 citations), Rehabilitation (97 citations), Pathology and Forensic Medicine (158 citations) and Cellular and Molecular Neuroscience (124 citations). M. Comola has collaborated with scholars based in Italy, Israel and France. Frequent co-authors include Gıancarlo Comı, Letizia Leocani, Nilo Riva, Paolo Rossi, Angelo Quattrini, Massimo Filippi, Giancarlo Comi, Raffaella Fazio, Federica Agosta and Raffaella Chieffo. Their work appears in journals such as Clinical Neurophysiology, Journal of Neurology, Frontiers in Aging Neuroscience, Multiple Sclerosis Journal and Multiple Sclerosis and Related Disorders.
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.