V. Crippa
Impact in
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism
Papers in
- 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
- Autophagy (6 papers)Human Molecular Genetics (5 papers)International Journal of Molecular Sciences (4 papers)Neurobiology of Aging (4 papers)Scientific Reports (4 papers)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
V. Crippa
74 papers receiving 10.2k citations
V. Crippa's Hit Papers
Peers
Comparison fields: 5 of 161
- Epidemiology 4.8k
- Physiology 583
- Neurology 1.7k
- Aging 196
- Cell Biology 1.7k
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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) Hit paper breakdown → | 2016 | 4660 |
| 2 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2038 |
| 3 | Trehalose induces autophagy via lysosomal-mediated TFEB activation in models of motoneuron degeneration Hit paper breakdown → | 2018 | 349 |
| 4 | 2010 | 301 | |
| 5 | 2007 | 175 | |
| 6 | 2019 | 173 | |
| 7 | 2011 | 132 | |
| 8 | 2018 | 122 | |
| 9 | 2019 | 99 | |
| 10 | 2010 | 96 | |
| 11 | 2007 | 92 | |
| 12 | 2016 | 91 | |
| 13 | 2016 | 87 | |
| 14 | 2017 | 87 | |
| 15 | 2016 | 85 | |
| 16 | 2013 | 77 | |
| 17 | 2017 | 67 | |
| 18 | 2011 | 66 | |
| 19 | 2017 | 63 | |
| 20 | 2014 | 61 |
About V. Crippa
V. Crippa is a scholar working on Neurology, Genetics, Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology, having authored 75 papers that have together received 10.3k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (32 papers), Neurogenetic and Muscular Disorders Research (21 papers), Genetic Neurodegenerative Diseases (19 papers), Muscle Physiology and Disorders (16 papers), Endoplasmic Reticulum Stress and Disease (16 papers), Autophagy in Disease and Therapy (16 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Heat shock proteins research (11 papers). The work is most often cited by research in Epidemiology (4.8k citations), Physiology (583 citations), Neurology (1.7k citations), Aging (196 citations) and Cell Biology (1.7k 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, Daniela Sau and Elio Messi. Their work appears in journals such as Autophagy, Human Molecular Genetics, International Journal of Molecular Sciences, Neurobiology of Aging and Scientific Reports.
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.