Alba Di Pardo
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- Genetic Neurodegenerative Diseases 38
- Hereditary Neurological Disorders 7
- Neurology top 5%
- Neurological disorders and treatments 7
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Neurology top 5%
- Neurological disorders and treatments 7
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Physiology top 5%
- Molecular Biology top 10%
- Mitochondrial Function and Pathology 20
- Sphingolipid Metabolism and Signaling 8
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- Endoplasmic Reticulum Stress and Disease 11
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- Advanced Neuroimaging Techniques and Applications 4
- Co-authors
- Vittorio MaglioneEnrico AmicoSimonetta SipioneFerdinando SquitieriGiuseppe PepeCarmine VecchioneGiuseppe LemboMaria Teresa Gentile
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Neuroscience (2 papers)PLoS ONE (2 papers)
- Partner nations
- ItalyUnited StatesCanada
In The Last Decade
Alba Di Pardo
64 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 110
- Cellular and Molecular Neuroscience 653
- Neurology 239
- Neurology 325
- Physiology 424
- Molecular Biology 1.1k
Countries citing papers authored by Alba Di Pardo
This map shows the geographic impact of Alba Di Pardo'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 Alba Di Pardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alba Di Pardo more than expected).
Fields of papers citing papers by Alba Di Pardo
This network shows the impact of papers produced by Alba Di Pardo. 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 Alba Di Pardo. The network helps show where Alba Di Pardo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alba Di Pardo, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2018 | 52 | |
| 8 | 2018 | 31 | |
| 9 | 2017 | 1 | |
| 10 | 2017 | 13 | |
| 11 | 2017 | 82 | |
| 12 | 2017 | 3 | |
| 13 | 2017 | 71 | |
| 14 | 2016 | 16 | |
| 15 | 2014 | 20 | |
| 16 | 2013 | 1 | |
| 17 | 2012 | 55 | |
| 18 | 2012 | 53 | |
| 19 | 2010 | 26 | |
| 20 | 2010 | 113 |
About Alba Di Pardo
Alba Di Pardo is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cell Biology, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (38 papers), Mitochondrial Function and Pathology (20 papers), Endoplasmic Reticulum Stress and Disease (11 papers), Sphingolipid Metabolism and Signaling (8 papers), Hereditary Neurological Disorders (7 papers), Neurological disorders and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (653 citations), Neurology (239 citations) and Neurology (325 citations). Alba Di Pardo has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Vittorio Maglione, Enrico Amico, Simonetta Sipione, Ferdinando Squitieri, Giuseppe Pepe, Carmine Vecchione, Giuseppe Lembo, Maria Teresa Gentile, Angelo Maffei and Salvatore Castaldo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.
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.