Rea Valaperta
Impact in
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- Genetic Neurodegenerative Diseases
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
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- Mitochondrial Function and Pathology 5
- RNA Research and Splicing 4
- Glycosylation and Glycoproteins Research 3
- Muscle Physiology and Disorders 3
- Sphingolipid Metabolism and Signaling 2
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- Genetic Neurodegenerative Diseases 13
- Co-authors
- G. Meola (15 shared papers)Elena Costa (17 shared papers)Fabio Martelli (4 shared papers)Rosanna Cardani (12 shared papers)Carlo Gaetano (3 shared papers)Sandro Sonnino (4 shared papers)Alessandra Perfetti (4 shared papers)Alessandro Prinetti (3 shared papers)
In The Last Decade
Rea Valaperta
30 papers receiving 834 citations
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 197
- Cancer Research 151
- Molecular Biology 563
- Cell Biology 78
- Aging 8
Countries citing papers authored by Rea Valaperta
This map shows the geographic impact of Rea Valaperta'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 Rea Valaperta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rea Valaperta more than expected).
Fields of papers citing papers by Rea Valaperta
This network shows the impact of papers produced by Rea Valaperta. 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 Rea Valaperta. The network helps show where Rea Valaperta may publish in the future.
Co-authors
The 25 scholars most cited alongside Rea Valaperta, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 156 | |
| 2 | 2006 | 95 | |
| 3 | 2017 | 50 | |
| 4 | 2003 | 49 | |
| 5 | 2016 | 49 | |
| 6 | Staphylococcus aureus nosocomial infections: the role of a rapid and low-cost characterization for the establishment of a surveillance system. | 2010 | 37 |
| 7 | 2013 | 36 | |
| 8 | 2006 | 33 | |
| 9 | 2019 | 32 | |
| 10 | 2002 | 29 | |
| 11 | 2001 | 28 | |
| 12 | 2011 | 27 | |
| 13 | 2013 | 26 | |
| 14 | 2013 | 25 | |
| 15 | 2004 | 22 | |
| 16 | 2015 | 20 | |
| 17 | 2015 | 19 | |
| 18 | 2008 | 16 | |
| 19 | 2018 | 15 | |
| 20 | 2017 | 14 |
About Rea Valaperta
Rea Valaperta is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Immunology and Infectious Diseases, having authored 30 papers that have together received 850 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (13 papers), Mitochondrial Function and Pathology (5 papers), RNA Research and Splicing (4 papers), Glycosylation and Glycoproteins Research (3 papers), Muscle Physiology and Disorders (3 papers), Pneumonia and Respiratory Infections (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (197 citations), Cancer Research (151 citations), Molecular Biology (563 citations), Cell Biology (78 citations) and Aging (8 citations). Rea Valaperta has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include G. Meola, Elena Costa, Fabio Martelli, Rosanna Cardani, Carlo Gaetano, Sandro Sonnino, Alessandra Perfetti, Alessandro Prinetti, Vanna Chigorno and Simona Greco. Their work appears in journals such as Proceedings of the National Academy of Sciences, BioMed Research International, Clinica Chimica Acta, Scientific Reports and Atherosclerosis.
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.