Eleonora Sgarlata
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery 1
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies 6
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- Peripheral Neuropathies and Disorders 3
- Vagus Nerve Stimulation Research 1
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- Peripheral Neuropathies and Disorders 3
- Vagus Nerve Stimulation Research 1
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- Viral Infections and Immunology Research 1
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- Pain Mechanisms and Treatments 1
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- RNA regulation and disease 1
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- Acute Ischemic Stroke Management 1
- Co-authors
- Clara Grazia ChisariFrancesco PattiSebastiano ArenaSimona ToscanoMaria LucaG. L. LenziMarta AltieriArthur M. Mercurio
- Journals
- Multiple Sclerosis and Related Disorders (1 paper)European Journal of Neurology (1 paper)Multiple Sclerosis Journal (1 paper)
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Eleonora Sgarlata
10 papers receiving 276 citations
Peers
Comparison fields: 5 of 62
- Rehabilitation 61
- Pathology and Forensic Medicine 119
- Neurology 66
- Biological Psychiatry 8
- Neurology 25
Countries citing papers authored by Eleonora Sgarlata
This map shows the geographic impact of Eleonora Sgarlata'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 Eleonora Sgarlata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eleonora Sgarlata more than expected).
Fields of papers citing papers by Eleonora Sgarlata
This network shows the impact of papers produced by Eleonora Sgarlata. 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 Eleonora Sgarlata. The network helps show where Eleonora Sgarlata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eleonora Sgarlata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 127 | |
| 2 | 2020 | 16 | |
| 3 | 2020 | 4 | |
| 4 | 2020 | 8 | |
| 5 | 2019 | 36 | |
| 6 | Negative-Unlabeled Learning for Diffusion MRI | 2019 | 1 |
| 7 | 2018 | 6 | |
| 8 | 2018 | 4 | |
| 9 | q-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis | 2018 | 1 |
| 10 | 2011 | 77 |
About Eleonora Sgarlata
Eleonora Sgarlata is a scholar working on Pathology and Forensic Medicine, Neurology and Sensory Systems, having authored 10 papers that have together received 280 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (6 papers), Peripheral Neuropathies and Disorders (3 papers), Viral Infections and Immunology Research (1 paper), Stroke Rehabilitation and Recovery (1 paper), Vagus Nerve Stimulation Research (1 paper), Pain Mechanisms and Treatments (1 paper), RNA regulation and disease (1 paper) and Acute Ischemic Stroke Management (1 paper). The work is most often cited by research in Rehabilitation (61 citations), Pathology and Forensic Medicine (119 citations) and Neurology (66 citations). Eleonora Sgarlata has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Clara Grazia Chisari, Francesco Patti, Sebastiano Arena, Simona Toscano, Maria Luca, G. L. Lenzi, Marta Altieri, Arthur M. Mercurio, Ilaria Maestrini and Vittorio Di Piero. Their work appears in journals such as Multiple Sclerosis and Related Disorders, European Journal of Neurology, Multiple Sclerosis Journal, Journal of Neurology and Human Brain Mapping.
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.