Alberto Catanese
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research 9
- Parkinson's Disease Mechanisms and Treatments 3
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- Neurogenetic and Muscular Disorders Research 3
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- Neuroscience and Neuropharmacology Research 4
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- Amyotrophic Lateral Sclerosis Research 9
- Parkinson's Disease Mechanisms and Treatments 3
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- Cholinesterase and Neurodegenerative Diseases 5
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- Autophagy in Disease and Therapy 4
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- Cellular transport and secretion 3
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- Mitochondrial Function and Pathology 2
- Co-authors
- Tobias M. BoeckersAlbert C. LudolphFrancesco RoselliGotthold BarbiJulia HigelinMaria DemestreMedhanie MulawDaniela Parolaro
- Cited by
- NeurologyGeneticsStructural Biology
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Alberto Catanese
21 papers receiving 313 citations
Peers
Comparison fields: 5 of 62
- Neurology 139
- Genetics 66
- Structural Biology 8
- Cellular and Molecular Neuroscience 98
- Neurology 36
Countries citing papers authored by Alberto Catanese
This map shows the geographic impact of Alberto Catanese'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 Alberto Catanese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Catanese more than expected).
Fields of papers citing papers by Alberto Catanese
This network shows the impact of papers produced by Alberto Catanese. 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 Alberto Catanese. The network helps show where Alberto Catanese may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alberto Catanese, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 27 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 27 | |
| 15 | 2020 | 19 | |
| 16 | 2018 | 11 | |
| 17 | 2018 | 59 | |
| 18 | 2018 | 12 | |
| 19 | 2018 | 10 | |
| 20 | 2016 | 53 |
About Alberto Catanese
Alberto Catanese is a scholar working on Neurology, Structural Biology and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 314 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (9 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Autophagy in Disease and Therapy (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), Cellular transport and secretion (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Neurology (139 citations), Genetics (66 citations) and Structural Biology (8 citations). Alberto Catanese has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Tobias M. Boeckers, Albert C. Ludolph, Francesco Roselli, Gotthold Barbi, Julia Higelin, Maria Demestre, Medhanie Mulaw, Daniela Parolaro, Doron D. Sommer and Erica Zamberletti. Their work appears in journals such as Cell Death and Disease, Autophagy, Cell Death Discovery, Journal of Neuroscience and Brain.
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.