Angelo Poletti
Impact in
- Neurology top 0.5%
- Amyotrophic Lateral Sclerosis Research
- Behavioral Neuroscience top 1%
Papers in
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- Muscle Physiology and Disorders 19
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- Genetic Neurodegenerative Diseases 33
- Co-authors
- V. Crippa (61 shared papers)P. Rusmini (59 shared papers)F. Celotti (20 shared papers)P. Negri‐Cesi (17 shared papers)M. Galbiati (44 shared papers)Serena Carra (24 shared papers)Riccardo Cristofani (44 shared papers)Luciano Martini (15 shared papers)
- Journals
- The Journal of Steroid Biochemistry and Molecular Biology (6 papers)Human Molecular Genetics (6 papers)Scientific Reports (5 papers)Neurobiology of Aging (5 papers)Autophagy (5 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Angelo Poletti
165 papers receiving 8.0k citations
Angelo Poletti's Hit Papers
Peers
Comparison fields: 5 of 133
- Neurology 1.6k
- Behavioral Neuroscience 385
- Cellular and Molecular Neuroscience 1.7k
- Genetics 820
- Cell Biology 1.2k
Countries citing papers authored by Angelo Poletti
This map shows the geographic impact of Angelo Poletti'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 Angelo Poletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Poletti more than expected).
Fields of papers citing papers by Angelo Poletti
This network shows the impact of papers produced by Angelo Poletti. 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 Angelo Poletti. The network helps show where Angelo Poletti may publish in the future.
Co-authors
The 25 scholars most cited alongside Angelo Poletti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Trehalose induces autophagy via lysosomal-mediated TFEB activation in models of motoneuron degeneration Hit paper breakdown → | 2018 | 332 |
| 2 | 2016 | 318 | |
| 3 | 2010 | 291 | |
| 4 | 2016 | 241 | |
| 5 | 2007 | 165 | |
| 6 | 2019 | 164 | |
| 7 | 2006 | 149 | |
| 8 | 2014 | 148 | |
| 9 | 2011 | 132 | |
| 10 | 2014 | 129 | |
| 11 | 1998 | 118 | |
| 12 | 2005 | 116 | |
| 13 | 2018 | 115 | |
| 14 | 1994 | 115 | |
| 15 | 2020 | 110 | |
| 16 | 1997 | 107 | |
| 17 | 1991 | 103 | |
| 18 | 2002 | 101 | |
| 19 | 1998 | 100 | |
| 20 | 2018 | 99 |
About Angelo Poletti
Angelo Poletti is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 173 papers that have together received 8.1k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (35 papers), Genetic Neurodegenerative Diseases (33 papers), Estrogen and related hormone effects (29 papers), Hormonal and reproductive studies (24 papers), Neurogenetic and Muscular Disorders Research (24 papers), Endoplasmic Reticulum Stress and Disease (22 papers), Muscle Physiology and Disorders (19 papers) and Autophagy in Disease and Therapy (19 papers). The work is most often cited by research in Neurology (1.6k citations), Behavioral Neuroscience (385 citations), Cellular and Molecular Neuroscience (1.7k citations), Genetics (820 citations) and Cell Biology (1.2k citations). Angelo Poletti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include V. Crippa, P. Rusmini, F. Celotti, P. Negri‐Cesi, M. Galbiati, Serena Carra, Riccardo Cristofani, Luciano Martini, Adriana Maggi and D. Sau. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Human Molecular Genetics, Scientific Reports, Neurobiology of Aging and Autophagy.
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.