Valentina Audrito
- Molecular Biology top 10%
- Oncology top 5%
- Immunology top 5%
- Geriatrics and Gerontology top 1%
- Epidemiology top 10%
- Co-authors
- Silvia DeaglioTiziana VaisittiSara SerraDavide BrusaGianluca GaïdanoDavide RossiFabio MalavasiFederica Gaudino
- Topics
- Chronic Lymphocytic Leukemia Research (13 papers)Calcium signaling and nucleotide metabolism (13 papers)Sirtuins and Resveratrol in Medicine (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- ItalyUnited StatesBelarus
In The Last Decade
Valentina Audrito
53 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 748
- Oncology 683
- Immunology 566
- Geriatrics and Gerontology 323
- Epidemiology 307
Countries citing papers authored by Valentina Audrito
This map shows the geographic impact of Valentina Audrito'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 Valentina Audrito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentina Audrito more than expected).
Fields of papers citing papers by Valentina Audrito
This network shows the impact of papers produced by Valentina Audrito. 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 Valentina Audrito. The network helps show where Valentina Audrito may publish in the future.
Co-authorship network of co-authors of Valentina Audrito
This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Audrito. A scholar is included among the top collaborators of Valentina Audrito based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Valentina Audrito. Valentina Audrito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 18 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 16 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 18 | |
| 10 | 22 | |
| 11 | 28 | |
| 12 | 55 | |
| 13 | 83 | |
| 14 | 48 | |
| 15 | 154 | |
| 16 | 129 | |
| 17 | 37 | |
| 18 | 44 | |
| 19 | 27 | |
| 20 | 138 |
About Valentina Audrito
Valentina Audrito is a scholar working on Physiology, Geriatrics and Gerontology and Genetics, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (13 papers), Calcium signaling and nucleotide metabolism (13 papers) and Sirtuins and Resveratrol in Medicine (12 papers). The work is most often cited by research in Geriatrics and Gerontology (323 citations), Physiology (241 citations) and Immunology (566 citations). Valentina Audrito has collaborated with scholars based in Italy, United States and Belarus. Frequent co-authors include Silvia Deaglio, Tiziana Vaisitti, Sara Serra, Davide Brusa, Gianluca Gaïdano, Davide Rossi, Fabio Malavasi, Federica Gaudino, Mario Mandalà and Nadia Raffaelli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.