Daniela Alberti
Impact in
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- Multiple Sclerosis Research Studies
- Neurology top 5%
- Autoimmune Neurological Disorders and Treatments
- Peripheral Neuropathies and Disorders
- Long-Term Effects of COVID-19
Papers in
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- Autoimmune Neurological Disorders and Treatments 4
- Peripheral Neuropathies and Disorders 3
- Long-Term Effects of COVID-19 3
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- Multiple Sclerosis Research Studies 9
- Co-authors
- Sara Mariotto (15 shared papers)Sérgio Ferrari (15 shared papers)Salvatore Monaco (10 shared papers)Alessia Farinazzo (3 shared papers)Roberta Magliozzi (1 shared paper)Alberto Gajofatto (5 shared papers)GianPietro Sechi (4 shared papers)Markus Reindl (3 shared papers)
In The Last Decade
Daniela Alberti
18 papers receiving 685 citations
Peers
Comparison fields: 5 of 52
- Pathology and Forensic Medicine 372
- Neurology 224
- Cellular and Molecular Neuroscience 40
- Infectious Diseases 41
- Neurology 16
Countries citing papers authored by Daniela Alberti
This map shows the geographic impact of Daniela Alberti'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 Daniela Alberti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Alberti more than expected).
Fields of papers citing papers by Daniela Alberti
This network shows the impact of papers produced by Daniela Alberti. 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 Daniela Alberti. The network helps show where Daniela Alberti may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Alberti, 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 | 2017 | 136 | |
| 2 | 2018 | 116 | |
| 3 | 2019 | 99 | |
| 4 | 2019 | 59 | |
| 5 | 2019 | 48 | |
| 6 | 2021 | 27 | |
| 7 | 2023 | 27 | |
| 8 | 2021 | 22 | |
| 9 | 2017 | 21 | |
| 10 | 2022 | 21 | |
| 11 | 2021 | 20 | |
| 12 | 2021 | 18 | |
| 13 | 2020 | 17 | |
| 14 | 2004 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2020 | 11 | |
| 18 | 2022 | 4 | |
| 19 | 2023 | 0 |
About Daniela Alberti
Daniela Alberti is a scholar working on Neurology, Pathology and Forensic Medicine, Infectious Diseases, Statistics, Probability and Uncertainty and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 692 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (9 papers), Autoimmune Neurological Disorders and Treatments (4 papers), Peripheral Neuropathies and Disorders (3 papers), Long-Term Effects of COVID-19 (3 papers), Clinical Laboratory Practices and Quality Control (1 paper), Infectious Encephalopathies and Encephalitis (1 paper), Hereditary Neurological Disorders (1 paper) and Reliability and Agreement in Measurement (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (372 citations), Neurology (224 citations), Cellular and Molecular Neuroscience (40 citations), Infectious Diseases (41 citations) and Neurology (16 citations). Daniela Alberti has collaborated with scholars based in Italy, Austria and France. Frequent co-authors include Sara Mariotto, Sérgio Ferrari, Salvatore Monaco, Alessia Farinazzo, Roberta Magliozzi, Alberto Gajofatto, GianPietro Sechi, Markus Reindl, Bruno Bonetti and Kathrin Schanda. Their work appears in journals such as Immunologic Research, Journal of Neurology, Neurology, Journal of Neurology Neurosurgery & Psychiatry and Journal of Neuroimmunology.
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.