Liana De Vecchis
- Oncology top 5%
- Immunology top 10%
- Molecular Biology
- Neurology top 10%
- Epidemiology
- Co-authors
- Francesco TorinoAgnese BarnabeiSalvatore Maria CorselloPaolo MarchettiRoberto SalvatoriEnzo BonmassarMario TurrizianiSalvatore Pasquale Prete
- Topics
- Cancer Immunotherapy and Biomarkers (10 papers)Immune Cell Function and Interaction (6 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
- Cited by
- OncologyImmunologyNeurology
- Journals
- The Journal of Clinical Endocrinology & MetabolismInternational Journal of Molecular SciencesJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- ItalyUnited StatesCzechia
In The Last Decade
Liana De Vecchis
31 papers receiving 818 citations
Peers
Comparison fields: 5 of 77
- Oncology 543
- Immunology 232
- Molecular Biology 188
- Neurology 100
- Epidemiology 92
Countries citing papers authored by Liana De Vecchis
This map shows the geographic impact of Liana De Vecchis'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 Liana De Vecchis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liana De Vecchis more than expected).
Fields of papers citing papers by Liana De Vecchis
This network shows the impact of papers produced by Liana De Vecchis. 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 Liana De Vecchis. The network helps show where Liana De Vecchis may publish in the future.
Co-authorship network of co-authors of Liana De Vecchis
This figure shows the co-authorship network connecting the top 25 collaborators of Liana De Vecchis. A scholar is included among the top collaborators of Liana De Vecchis 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 Liana De Vecchis. Liana De Vecchis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 54 | |
| 3 | 44 | |
| 4 | 31 | |
| 5 | 18 | |
| 6 | 15 | |
| 7 | 72 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 8 | |
| 11 | 11 | |
| 12 | Effect of the combined treatment with 5-fluorouracil, gamma-interferon or folinic acid on carcinoembryonic antigen expression in colon cancer cells. | 32 |
| 13 | Decline in telomerase activity as a measure of tumor cell killing by antineoplastic agents in vitro. | 53 |
| 14 | 5 | |
| 15 | 13 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | Amplification of natural killer activity of mouse lymphocytes by vincristine. | 1 |
About Liana De Vecchis
Liana De Vecchis is a scholar working on Oncology, Aging and Immunology, having authored 32 papers that have together received 842 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (10 papers), Immune Cell Function and Interaction (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Oncology (543 citations), Immunology (232 citations) and Neurology (100 citations). Liana De Vecchis has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Francesco Torino, Agnese Barnabei, Salvatore Maria Corsello, Paolo Marchetti, Roberto Salvatori, Enzo Bonmassar, Mario Turriziani, Salvatore Pasquale Prete, Grazia Graziani and Angelo Aquino. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences and Journal of Pharmacology and Experimental Therapeutics.
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.