Odetta Antico
Impact in
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- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Ubiquitin and proteasome pathways 7
- Metabolism, Diabetes, and Cancer 2
- Mitochondrial Function and Pathology 2
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- Autophagy in Disease and Therapy 6
- Co-authors
- Miratul M. K. Muqit (10 shared papers)Erica Barini (2 shared papers)Yingjun Zhao (1 shared paper)Laura Gasparini (1 shared paper)Tiziano Catelani (1 shared paper)Roberto Marotta (1 shared paper)Huaxi Xu (1 shared paper)Valter Tucci (1 shared paper)
- Journals
- eLife (2 papers)Proceedings of the National Academy of Sciences (2 papers)Science Advances (2 papers)Autophagy (1 paper)Data in Brief (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Odetta Antico
14 papers receiving 316 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Biological Psychiatry 11
- Neurology 55
- Physiology 92
- Neurology 26
- Molecular Biology 200
Countries citing papers authored by Odetta Antico
This map shows the geographic impact of Odetta Antico'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 Odetta Antico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Odetta Antico more than expected).
Fields of papers citing papers by Odetta Antico
This network shows the impact of papers produced by Odetta Antico. 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 Odetta Antico. The network helps show where Odetta Antico may publish in the future.
Co-authors
The 25 scholars most cited alongside Odetta Antico, 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 | 2016 | 102 | |
| 2 | 2021 | 54 | |
| 3 | Targeting mitophagy in neurodegenerative diseases Hit paper breakdown → | 2025 | 41 |
| 4 | 2021 | 35 | |
| 5 | 2020 | 33 | |
| 6 | 2023 | 24 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2025 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2025 | 1 |
About Odetta Antico
Odetta Antico is a scholar working on Molecular Biology, Epidemiology, Neurology, Cell Biology and Physiology, having authored 14 papers that have together received 320 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Autophagy in Disease and Therapy (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Cellular transport and secretion (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Alzheimer's disease research and treatments (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Biological Psychiatry (11 citations), Neurology (55 citations), Physiology (92 citations), Neurology (26 citations) and Molecular Biology (200 citations). Odetta Antico has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Miratul M. K. Muqit, Erica Barini, Yingjun Zhao, Laura Gasparini, Tiziano Catelani, Roberto Marotta, Huaxi Xu, Valter Tucci, Laura E. Parton and Nicholas T. Hertz. Their work appears in journals such as eLife, Proceedings of the National Academy of Sciences, Science Advances, Autophagy and Data in Brief.
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.