Vito Vanella
- Oncology top 5%
- Molecular Biology
- Immunology top 10%
- Pulmonary and Respiratory Medicine
- Cancer Research
- Co-authors
- Paolo A. AsciertoLucia FestinoEster SimeoneAntonio Maria GrimaldiDiana GiannarelliGabriele MadonnaMariaelena CaponeDomenico Mallardo
- Topics
- Cancer Immunotherapy and Biomarkers (17 papers)Melanoma and MAPK Pathways (17 papers)Cutaneous Melanoma Detection and Management (9 papers)
- Cited by
- OncologyImmunologyCancer Research
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBritish Journal of Cancer
- Partner nations
- ItalyUnited StatesMalaysia
In The Last Decade
Vito Vanella
33 papers receiving 981 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Oncology 709
- Molecular Biology 328
- Immunology 267
- Pulmonary and Respiratory Medicine 145
- Cancer Research 87
Countries citing papers authored by Vito Vanella
This map shows the geographic impact of Vito Vanella'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 Vito Vanella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vito Vanella more than expected).
Fields of papers citing papers by Vito Vanella
This network shows the impact of papers produced by Vito Vanella. 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 Vito Vanella. The network helps show where Vito Vanella may publish in the future.
Co-authorship network of co-authors of Vito Vanella
This figure shows the co-authorship network connecting the top 25 collaborators of Vito Vanella. A scholar is included among the top collaborators of Vito Vanella 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 Vito Vanella. Vito Vanella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 22 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 14 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 22 | |
| 11 | 6 | |
| 12 | 41 | |
| 13 | Baseline neutrophil-to-lymphocyte ratio (NLR) and derived NLR could predict overall survival in patients with advanced melanoma treated with nivolumabbreakdown → | 351 |
| 14 | 30 | |
| 15 | 36 | |
| 16 | 51 | |
| 17 | 98 | |
| 18 | 104 | |
| 19 | 17 | |
| 20 | 22 |
About Vito Vanella
Vito Vanella is a scholar working on Oncology, Immunology and Molecular Biology, having authored 34 papers that have together received 997 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (17 papers), Melanoma and MAPK Pathways (17 papers) and Cutaneous Melanoma Detection and Management (9 papers). The work is most often cited by research in Oncology (709 citations), Immunology (267 citations) and Cancer Research (87 citations). Vito Vanella has collaborated with scholars based in Italy, United States and Malaysia. Frequent co-authors include Paolo A. Ascierto, Lucia Festino, Ester Simeone, Antonio Maria Grimaldi, Diana Giannarelli, Gabriele Madonna, Mariaelena Capone, Domenico Mallardo, Giuseppe Palmieri and Corrado Caracò. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and British Journal of Cancer.
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.