Gabriele Madonna

162 total papers · 2.9k total citations
63 papers, 1.6k citations indexed

About

Gabriele Madonna is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Gabriele Madonna has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Oncology, 33 papers in Molecular Biology and 28 papers in Immunology. Recurrent topics in Gabriele Madonna's work include Cancer Immunotherapy and Biomarkers (31 papers), Melanoma and MAPK Pathways (22 papers) and Immunotherapy and Immune Responses (18 papers). Gabriele Madonna is often cited by papers focused on Cancer Immunotherapy and Biomarkers (31 papers), Melanoma and MAPK Pathways (22 papers) and Immunotherapy and Immune Responses (18 papers). Gabriele Madonna collaborates with scholars based in Italy, United States and Malaysia. Gabriele Madonna's co-authors include Paolo A. Ascierto, Mariaelena Capone, Domenico Mallardo, Giuseppe Palmieri, Antonio Maria Grimaldi, Ester Simeone, Diana Giannarelli, Corrado Caracò, Lucia Festino and Giusy Gentilcore and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Gabriele Madonna

59 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gabriele Madonna 932 565 561 295 174 63 1.6k
Mahdi Abdoli Shadbad 558 0.6× 448 0.8× 546 1.0× 336 1.1× 165 0.9× 60 1.3k
Shu‐Fen Chiang 687 0.7× 484 0.9× 720 1.3× 237 0.8× 199 1.1× 53 1.6k
Mariaelena Capone 1.3k 1.4× 723 1.3× 994 1.8× 363 1.2× 249 1.4× 68 2.2k
Fuming Qiu 724 0.8× 626 1.1× 853 1.5× 494 1.7× 197 1.1× 55 2.0k
Si‐Rui Ma 722 0.8× 594 1.1× 824 1.5× 415 1.4× 151 0.9× 53 1.8k
Xiao-Shi Zhang 820 0.9× 694 1.2× 713 1.3× 401 1.4× 168 1.0× 39 1.8k
Afshin Derakhshani 797 0.9× 643 1.1× 752 1.3× 417 1.4× 219 1.3× 70 1.9k
Alison C. West 905 1.0× 659 1.2× 1.5k 2.7× 184 0.6× 182 1.0× 37 2.3k
Yang Zhao 948 1.0× 726 1.3× 515 0.9× 219 0.7× 203 1.2× 34 1.6k
Dorota Wyczechowska 593 0.6× 1.1k 2.0× 880 1.6× 646 2.2× 144 0.8× 50 2.2k

Countries citing papers authored by Gabriele Madonna

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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2026