Silvia Benvenuti
- Oncology top 2%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 2%
- Pathology and Forensic Medicine top 2%
- Cancer Research top 5%
- Co-authors
- Alberto BardelliPaolo M. ComoglioSalvatore SienaFederica Di NicolantonioMauro MoroniAndrea Sartore‐BianchiSilvio VeroneseCarlo Zanon
- Topics
- Liver physiology and pathology (11 papers)Cancer Diagnosis and Treatment (5 papers)Microtubule and mitosis dynamics (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Silvia Benvenuti
38 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Oncology 1.6k
- Molecular Biology 969
- Pulmonary and Respiratory Medicine 923
- Pathology and Forensic Medicine 586
- Cancer Research 436
Countries citing papers authored by Silvia Benvenuti
This map shows the geographic impact of Silvia Benvenuti'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 Silvia Benvenuti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Benvenuti more than expected).
Fields of papers citing papers by Silvia Benvenuti
This network shows the impact of papers produced by Silvia Benvenuti. 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 Silvia Benvenuti. The network helps show where Silvia Benvenuti may publish in the future.
Co-authorship network of co-authors of Silvia Benvenuti
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Benvenuti. A scholar is included among the top collaborators of Silvia Benvenuti 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 Silvia Benvenuti. Silvia Benvenuti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 6 | |
| 3 | 20 | |
| 4 | 7 | |
| 5 | 19 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 19 | |
| 10 | 15 | |
| 11 | 8 | |
| 12 | 107 | |
| 13 | 63 | |
| 14 | 41 | |
| 15 | 58 | |
| 16 | 56 | |
| 17 | 12 | |
| 18 | 65 | |
| 19 | 39 | |
| 20 | 3 |
About Silvia Benvenuti
Silvia Benvenuti is a scholar working on Hepatology, Aging and Oncology, having authored 40 papers that have together received 2.6k indexed citations. Recurring topics across this work include Liver physiology and pathology (11 papers), Cancer Diagnosis and Treatment (5 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Oncology (1.6k citations), Hepatology (425 citations) and Pathology and Forensic Medicine (586 citations). Silvia Benvenuti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alberto Bardelli, Paolo M. Comoglio, Salvatore Siena, Federica Di Nicolantonio, Mauro Moroni, Andrea Sartore‐Bianchi, Silvio Veronese, Carlo Zanon, Marcello Gambacorta and Giovanna Marrapese. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.