Alessandro Didonna
- Neurology top 10%
- Neurological diseases and metabolism 3
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- Genetic Neurodegenerative Diseases 9
- Neurology top 10%
- Neurological diseases and metabolism 3
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- Multiple Sclerosis Research Studies 8
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- Prion Diseases and Protein Misfolding 5
- RNA regulation and disease 4
- RNA Research and Splicing 4
- Mitochondrial Function and Pathology 3
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- Immunotherapy and Immune Responses 5
- Co-authors
- Puneet OpalJorge R. OksenbergFederico BenettiGiuseppe LegnameCaroline GuglielmettiMyriam M. ChaumeilChloé NajacAnnemie Van der Linden
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Clinical Investigation (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Alessandro Didonna
36 papers receiving 782 citations
Peers
Comparison fields: 5 of 97
- Neurology 121
- Cellular and Molecular Neuroscience 208
- Neurology 136
- Biological Psychiatry 18
- Developmental Neuroscience 29
Countries citing papers authored by Alessandro Didonna
This map shows the geographic impact of Alessandro Didonna'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 Alessandro Didonna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Didonna more than expected).
Fields of papers citing papers by Alessandro Didonna
This network shows the impact of papers produced by Alessandro Didonna. 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 Alessandro Didonna. The network helps show where Alessandro Didonna may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alessandro Didonna, 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 | 2024 | 6 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 8 | |
| 7 | 2020 | 53 | |
| 8 | 2020 | 8 | |
| 9 | 2019 | 86 | |
| 10 | 2019 | 15 | |
| 11 | 2018 | 41 | |
| 12 | 2018 | 22 | |
| 13 | 2016 | 7 | |
| 14 | 2015 | 9 | |
| 15 | 2015 | 23 | |
| 16 | 2014 | 35 | |
| 17 | 2013 | 18 | |
| 18 | 2013 | 94 | |
| 19 | 2012 | 19 | |
| 20 | 2010 | 13 |
About Alessandro Didonna
Alessandro Didonna is a scholar working on Neurology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine, having authored 37 papers that have together received 790 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (9 papers), Multiple Sclerosis Research Studies (8 papers), Prion Diseases and Protein Misfolding (5 papers), Immunotherapy and Immune Responses (5 papers), RNA regulation and disease (4 papers), RNA Research and Splicing (4 papers), Neurological diseases and metabolism (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Neurology (121 citations), Cellular and Molecular Neuroscience (208 citations) and Neurology (136 citations). Alessandro Didonna has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Puneet Opal, Jorge R. Oksenberg, Federico Benetti, Giuseppe Legname, Caroline Guglielmetti, Myriam M. Chaumeil, Chloé Najac, Annemie Van der Linden, Sabrina M. Ronen and Stephen L. Hauser. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.