V. Crippa
Impact in
Papers in
-
- Muscle Physiology and Disorders 13
- Heat shock proteins research 10
- Neurology 33
- Amyotrophic Lateral Sclerosis Research 30
- Parkinson's Disease Mechanisms and Treatments 10
- Co-authors
- Angelo Poletti (61 shared papers)P. Rusmini (48 shared papers)M. Galbiati (38 shared papers)Riccardo Cristofani (38 shared papers)Serena Carra (19 shared papers)Margherita Piccolella (29 shared papers)Elisa Onesto (11 shared papers)M.E. Cicardi (18 shared papers)
- Journals
- Human Molecular Genetics (5 papers)International Journal of Molecular Sciences (4 papers)Neurobiology of Aging (4 papers)Scientific Reports (4 papers)Neurobiology of Disease (3 papers)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
V. Crippa
62 papers receiving 3.2k citations
V. Crippa's Hit Papers
Peers
Comparison fields: 5 of 114
- Neurology 1.2k
- Genetics 572
- Cell Biology 722
- Aging 76
- Cellular and Molecular Neuroscience 692
Countries citing papers authored by V. Crippa
This map shows the geographic impact of V. Crippa'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 V. Crippa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Crippa more than expected).
Fields of papers citing papers by V. Crippa
This network shows the impact of papers produced by V. Crippa. 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 V. Crippa. The network helps show where V. Crippa may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Crippa, 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 64 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 | 330 |
| 2 | 2010 | 279 | |
| 3 | 2019 | 162 | |
| 4 | 2007 | 159 | |
| 5 | 2011 | 128 | |
| 6 | 2018 | 112 | |
| 7 | 2010 | 91 | |
| 8 | 2016 | 88 | |
| 9 | 2017 | 83 | |
| 10 | 2016 | 80 | |
| 11 | 2016 | 76 | |
| 12 | 2007 | 75 | |
| 13 | 2013 | 70 | |
| 14 | 2017 | 63 | |
| 15 | 2006 | 59 | |
| 16 | 2017 | 59 | |
| 17 | 2011 | 58 | |
| 18 | 2014 | 57 | |
| 19 | 2019 | 57 | |
| 20 | 2013 | 56 |
About V. Crippa
V. Crippa is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Genetics and Cell Biology, having authored 64 papers that have together received 3.2k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (30 papers), Genetic Neurodegenerative Diseases (18 papers), Neurogenetic and Muscular Disorders Research (18 papers), Endoplasmic Reticulum Stress and Disease (15 papers), Muscle Physiology and Disorders (13 papers), Autophagy in Disease and Therapy (13 papers), Heat shock proteins research (10 papers) and Parkinson's Disease Mechanisms and Treatments (10 papers). The work is most often cited by research in Neurology (1.2k citations), Genetics (572 citations), Cell Biology (722 citations), Aging (76 citations) and Cellular and Molecular Neuroscience (692 citations). V. Crippa has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Angelo Poletti, P. Rusmini, M. Galbiati, Riccardo Cristofani, Serena Carra, Margherita Piccolella, Elisa Onesto, M.E. Cicardi, Elio Messi and D. Sau. Their work appears in journals such as Human Molecular Genetics, International Journal of Molecular Sciences, Neurobiology of Aging, Scientific Reports and Neurobiology of Disease.
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.