Gabriele Madonna
- Oncology top 5%
- Immunology top 5%
- Molecular Biology
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Paolo A. AsciertoMariaelena CaponeDomenico MallardoGiuseppe PalmieriAntonio Maria GrimaldiEster SimeoneDiana GiannarelliCorrado Caracò
- Topics
- Cancer Immunotherapy and Biomarkers (31 papers)Melanoma and MAPK Pathways (22 papers)Immunotherapy and Immune Responses (18 papers)
- Cited by
- OncologyImmunologyCancer Research
- Partner nations
- ItalyUnited StatesMalaysia
In The Last Decade
Gabriele Madonna
60 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Oncology 945
- Immunology 570
- Molecular Biology 568
- Cancer Research 298
- Pulmonary and Respiratory Medicine 178
Countries citing papers authored by Gabriele Madonna
This map shows the geographic impact of Gabriele Madonna'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 Gabriele Madonna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Madonna more than expected).
Fields of papers citing papers by Gabriele Madonna
This network shows the impact of papers produced by Gabriele Madonna. 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 Gabriele Madonna. The network helps show where Gabriele Madonna may publish in the future.
Co-authorship network of co-authors of Gabriele Madonna
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Madonna. A scholar is included among the top collaborators of Gabriele Madonna 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 Gabriele Madonna. Gabriele Madonna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 6 | |
| 9 | 24 | |
| 10 | 12 | |
| 11 | 8 | |
| 12 | 19 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | 22 | |
| 17 | 43 | |
| 18 | Baseline neutrophil-to-lymphocyte ratio (NLR) and derived NLR could predict overall survival in patients with advanced melanoma treated with nivolumabbreakdown → | 351 |
| 19 | 46 | |
| 20 | 141 |
About Gabriele Madonna
Gabriele Madonna is a scholar working on Oncology, Immunology and Physiology, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (31 papers), Melanoma and MAPK Pathways (22 papers) and Immunotherapy and Immune Responses (18 papers). The work is most often cited by research in Oncology (945 citations), Immunology (570 citations) and Cancer Research (298 citations). Gabriele Madonna has collaborated with scholars based in Italy, United States and Malaysia. Frequent co-authors include Paolo A. Ascierto, Mariaelena Capone, Domenico Mallardo, Giuseppe Palmieri, Antonio Maria Grimaldi, Ester Simeone, Diana Giannarelli, Corrado Caracò, Giusy Gentilcore and Lucia Festino. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Cancer Research.
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.