Davide Vecchiotti
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- NF-κB Signaling Pathways
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- Immune cells in cancer
Papers in
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- Circular RNAs in diseases 5
- RNA modifications and cancer 3
- Hedgehog Signaling Pathway Studies 2
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- MicroRNA in disease regulation 7
- NF-κB Signaling Pathways 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Francesca Zazzeroni (27 shared papers)Daria Capece (21 shared papers)Daniela Verzella (20 shared papers)Edoardo Alesse (20 shared papers)Guido Franzoso (8 shared papers)Matilde Valeria Ursini (1 shared paper)Alessandra Pescatore (1 shared paper)Alessandra Tessitore (10 shared papers)
- Journals
- Genes (6 papers)International Journal of Molecular Sciences (2 papers)Cell Death and Disease (2 papers)Cancers (2 papers)Pharmaceutics (1 paper)
- Partner nations
- ItalyUnited KingdomAustralia
In The Last Decade
Davide Vecchiotti
27 papers receiving 634 citations
Davide Vecchiotti's Hit Papers
Peers
Comparison fields: 5 of 90
- Cancer Research 199
- Immunology 107
- Molecular Biology 318
- Oncology 97
- Geriatrics and Gerontology 11
Countries citing papers authored by Davide Vecchiotti
This map shows the geographic impact of Davide Vecchiotti'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 Davide Vecchiotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Vecchiotti more than expected).
Fields of papers citing papers by Davide Vecchiotti
This network shows the impact of papers produced by Davide Vecchiotti. 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 Davide Vecchiotti. The network helps show where Davide Vecchiotti may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Vecchiotti, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Life, death, and autophagy in cancer: NF-κB turns up everywhere Hit paper breakdown → | 2020 | 260 |
| 2 | 2014 | 61 | |
| 3 | 2024 | 56 | |
| 4 | 2016 | 38 | |
| 5 | 2022 | 30 | |
| 6 | 2018 | 25 | |
| 7 | 2015 | 22 | |
| 8 | 2022 | 20 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 15 | |
| 11 | 2023 | 14 | |
| 12 | 2014 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2024 | 12 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 3 |
About Davide Vecchiotti
Davide Vecchiotti is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 639 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (5 papers), NF-κB Signaling Pathways (4 papers), Cancer-related molecular mechanisms research (4 papers), Immune cells in cancer (3 papers), RNA modifications and cancer (3 papers), interferon and immune responses (2 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Cancer Research (199 citations), Immunology (107 citations), Molecular Biology (318 citations), Oncology (97 citations) and Geriatrics and Gerontology (11 citations). Davide Vecchiotti has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Francesca Zazzeroni, Daria Capece, Daniela Verzella, Edoardo Alesse, Guido Franzoso, Matilde Valeria Ursini, Alessandra Pescatore, Alessandra Tessitore, Jessica Cornice and Mariafausta Fischietti. Their work appears in journals such as Genes, International Journal of Molecular Sciences, Cell Death and Disease, Cancers and Pharmaceutics.
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.