Roberta Venè
Impact in
- Pharmacology top 5%
- Hops Chemistry and Applications
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 3
- Genomics, phytochemicals, and oxidative stress 2
- Retinoids in leukemia and cellular processes 2
- Immunology 10
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 2
- Co-authors
- Nicoletta Ferrari (15 shared papers)Roberto Benelli (14 shared papers)Francesca Tosetti (14 shared papers)Alessandro Poggi (12 shared papers)Maria Raffaella Zocchi (6 shared papers)Delfina Costa (7 shared papers)Simona Minghelli (7 shared papers)Simonetta Astigiano (3 shared papers)
- Journals
- OncoImmunology (3 papers)Cancer Letters (2 papers)Cells (2 papers)Frontiers in Immunology (2 papers)Oncotarget (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Roberta Venè
25 papers receiving 743 citations
Peers
Comparison fields: 5 of 79
- Pharmacology 85
- Immunology 191
- Oncology 194
- Cancer Research 103
- Molecular Biology 317
Countries citing papers authored by Roberta Venè
This map shows the geographic impact of Roberta Venè'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 Roberta Venè with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberta Venè more than expected).
Fields of papers citing papers by Roberta Venè
This network shows the impact of papers produced by Roberta Venè. 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 Roberta Venè. The network helps show where Roberta Venè may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberta Venè, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 118 | |
| 2 | 2012 | 56 | |
| 3 | 2012 | 47 | |
| 4 | 2017 | 47 | |
| 5 | 2010 | 44 | |
| 6 | 2015 | 40 | |
| 7 | 2017 | 38 | |
| 8 | 2018 | 37 | |
| 9 | 2014 | 36 | |
| 10 | 2008 | 35 | |
| 11 | 2017 | 31 | |
| 12 | 2018 | 29 | |
| 13 | 2017 | 26 | |
| 14 | 2013 | 26 | |
| 15 | 2012 | 21 | |
| 16 | 2008 | 20 | |
| 17 | 2014 | 19 | |
| 18 | 2020 | 17 | |
| 19 | 2015 | 16 | |
| 20 | 2020 | 15 |
About Roberta Venè
Roberta Venè is a scholar working on Molecular Biology, Immunology, Oncology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 752 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Inflammatory mediators and NSAID effects (5 papers), Estrogen and related hormone effects (3 papers), Prostate Cancer Treatment and Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), T-cell and B-cell Immunology (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Pharmacology (85 citations), Immunology (191 citations), Oncology (194 citations), Cancer Research (103 citations) and Molecular Biology (317 citations). Roberta Venè has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Nicoletta Ferrari, Roberto Benelli, Francesca Tosetti, Alessandro Poggi, Maria Raffaella Zocchi, Delfina Costa, Simona Minghelli, Simonetta Astigiano, Sebastiano Carlone and Adriana Albini. Their work appears in journals such as OncoImmunology, Cancer Letters, Cells, Frontiers in Immunology and Oncotarget.
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.