Mónica Perassolo
- Neurology top 10%
- Pathology and Forensic Medicine top 10%
- Cellular and Molecular Neuroscience
- Rheumatology
- Psychiatry and Mental health
- Co-authors
- Edgar Carnero ContenttiJavier HrybMichel BaudryAlejandro CarideVerónica TkachukDaniel San‐JuanVanessa Daccach MarquesOmaira Molina
- Topics
- Multiple Sclerosis Research Studies (14 papers)Peripheral Neuropathies and Disorders (13 papers)Systemic Lupus Erythematosus Research (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaClinical NeurophysiologyJournal of the Neurological Sciences
In The Last Decade
Mónica Perassolo
20 papers receiving 271 citations
Peers
Comparison fields: 5 of 62
- Neurology 136
- Pathology and Forensic Medicine 128
- Cellular and Molecular Neuroscience 69
- Rheumatology 60
- Psychiatry and Mental health 41
Countries citing papers authored by Mónica Perassolo
This map shows the geographic impact of Mónica Perassolo'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 Mónica Perassolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mónica Perassolo more than expected).
Fields of papers citing papers by Mónica Perassolo
This network shows the impact of papers produced by Mónica Perassolo. 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 Mónica Perassolo. The network helps show where Mónica Perassolo may publish in the future.
Co-authorship network of co-authors of Mónica Perassolo
This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Perassolo. A scholar is included among the top collaborators of Mónica Perassolo 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 Mónica Perassolo. Mónica Perassolo 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 | 29 | |
| 3 | 12 | |
| 4 | 13 | |
| 5 | 27 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 17 | |
| 11 | 5 | |
| 12 | 16 | |
| 13 | 20 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | HIPERTENSIÓN ARTERIAL Y DETERIORO COGNITIVO | 0 |
| 18 | 5 | |
| 19 | 49 | |
| 20 | 33 |
About Mónica Perassolo
Mónica Perassolo is a scholar working on Neurology, Pathology and Forensic Medicine and Rheumatology, having authored 23 papers that have together received 275 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (14 papers), Peripheral Neuropathies and Disorders (13 papers) and Systemic Lupus Erythematosus Research (9 papers). The work is most often cited by research in Neurology (136 citations), Pathology and Forensic Medicine (128 citations) and Rheumatology (60 citations). Mónica Perassolo has collaborated with scholars based in Argentina, Brazil and Venezuela. Frequent co-authors include Edgar Carnero Contentti, Javier Hryb, Michel Baudry, Alejandro Caride, Verónica Tkachuk, Daniel San‐Juan, Vanessa Daccach Marques, Omaira Molina, Amilton Antunes Barreira and Ibis Soto de Castillo. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.