Gabriele Madonna

3.0k total citations · 1 hit paper
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, Giusy Gentilcore and Lucia Festino 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

60 papers receiving 1.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Baseline neutrophil-to-lymphocyte ratio (NLR) and derived NLR could predict overall survival in patients with advanced melanoma treated with nivolumab

2018 351 citations Mariaelena Capone, Diana Giannarelli et al. Journal for ImmunoTherapy of Cancer profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gabriele Madonna Italy	20	945	570	568	298	178	63	1.6k
Xiao-Shi Zhang China	23	820 0.9×	698 1.2×	718 1.3×	402 1.3×	169 0.9×	39	1.8k
Mohammad Hossein Kazemi Iran	14	398 0.4×	287 0.5×	484 0.9×	240 0.8×	156 0.9×	38	1.2k
Terry R. Medler United States	20	683 0.7×	755 1.3×	710 1.3×	311 1.0×	453 2.5×	23	1.9k
Alexandr V. Bazhin Germany	22	640 0.7×	438 0.8×	543 1.0×	247 0.8×	136 0.8×	74	1.4k
Massimo Ammirante United States	12	828 0.9×	819 1.4×	629 1.1×	284 1.0×	302 1.7×	15	1.7k
Xiaoying Shi China	12	641 0.7×	327 0.6×	890 1.6×	284 1.0×	369 2.1×	31	1.6k
Dadi Jiang United States	18	784 0.8×	411 0.7×	1.1k 2.0×	377 1.3×	182 1.0×	34	1.9k
Kankana Bardhan United States	17	1.1k 1.1×	1.2k 2.1×	758 1.3×	470 1.6×	179 1.0×	23	2.3k
Rémy Castellano France	24	803 0.8×	1.0k 1.8×	968 1.7×	258 0.9×	81 0.5×	49	2.3k

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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20 of 20 papers shown

Modestino, Luca, Leonardo Cristinziano, Anne Lise Ferrara, et al.. (2024). Innate Immune Cells in Melanoma: Implications for Immunotherapy. International Journal of Molecular Sciences. 25(15). 8523–8523. 11 indexed citations

Ottaviano, Margaret, Domenico Mallardo, Maria Grazia Vitale, et al.. (2024). Impact of sex on immune-related adverse events in patients with melanoma.. Journal of Clinical Oncology. 42(16_suppl). e21548–e21548.

Gattuso, Giuseppe, Alessandro Lavoro, Rosario Caltabiano, et al.. (2024). Methylation‑sensitive restriction enzyme‑droplet digital PCR assay for the one‑step highly sensitive analysis of DNA methylation hotspots. International Journal of Molecular Medicine. 53(5). 11 indexed citations

Liguoro, Domenico, Andrea Sacconi, Mario Acunzo, et al.. (2024). The MITF/mir-579-3p regulatory axis dictates BRAF-mutated melanoma cell fate in response to MAPK inhibitors. Cell Death and Disease. 15(3). 208–208. 5 indexed citations

Ferguson, Robert, Danny Simpson, Gabriele Madonna, et al.. (2023). Germline immunomodulatory expression quantitative trait loci (ieQTLs) associated with immune-related toxicity from checkpoint inhibition. European Journal of Cancer. 189. 112923–112923. 6 indexed citations

Galati, Domenico, Serena Zanotta, Mariaelena Capone, et al.. (2023). Potential clinical implications of CD4+CD26high T cells for nivolumab treated melanoma patients. Journal of Translational Medicine. 21(1). 318–318. 8 indexed citations

Faria, Sara Socorro, Diana Giannarelli, Vladmir Cláudio Cordeiro de Lima, et al.. (2023). Development of a Prognostic Model for Early Breast Cancer Integrating Neutrophil to Lymphocyte Ratio and Clinical-Pathological Characteristics. The Oncologist. 29(4). e447–e454. 7 indexed citations

Modestino, Luca, Leonardo Cristinziano, Mariaelena Capone, et al.. (2023). Melanoma-derived soluble mediators modulate neutrophil biological properties and the release of neutrophil extracellular traps. Cancer Immunology Immunotherapy. 72(10). 3363–3376. 13 indexed citations

Costantini, Susan, Gabriele Madonna, Elena Di Gennaro, et al.. (2023). New Insights into the Identification of Metabolites and Cytokines Predictive of Outcome for Patients with Severe SARS-CoV-2 Infection Showed Similarity with Cancer. International Journal of Molecular Sciences. 24(5). 4922–4922. 6 indexed citations

10.

Scognamiglio, Giosuè, Mariaelena Capone, Francesco Sabbatino, et al.. (2021). The Ratio of GrzB+ − FoxP3+ over CD3+ T Cells as a Potential Predictor of Response to Nivolumab in Patients with Metastatic Melanoma. Cancers. 13(10). 2325–2325. 9 indexed citations

11.

Borzillo, Valentina, Rossella Di Franco, Diana Giannarelli, et al.. (2021). Ipilimumab and Stereotactic Radiosurgery with CyberKnife® System in Melanoma Brain Metastases: A Retrospective Monoinstitutional Experience. Cancers. 13(8). 1857–1857. 8 indexed citations

12.

Guida, Michele, Nicola Bartolomeo, Pietro Quaglino, et al.. (2021). No Impact of NRAS Mutation on Features of Primary and Metastatic Melanoma or on Outcomes of Checkpoint Inhibitor Immunotherapy: An Italian Melanoma Intergroup (IMI) Study. Cancers. 13(3). 475–475. 19 indexed citations

13.

Iuliano, Antonella, Rossella De Cegli, Sabrina Carrella, et al.. (2021). Integrated Genomics Identifies miR-181/TFAM Pathway as a Critical Driver of Drug Resistance in Melanoma. International Journal of Molecular Sciences. 22(4). 1801–1801. 24 indexed citations

14.

Festino, Lucia, et al.. (2021). Dermatologic adverse events associated with targeted therapies for melanoma. Expert Opinion on Drug Safety. 21(3). 385–395. 1 indexed citations

15.

Madonna, Gabriele, Giuseppe Masucci, Mariaelena Capone, et al.. (2021). Clinical Categorization Algorithm (CLICAL) and Machine Learning Approach (SRF-CLICAL) to Predict Clinical Benefit to Immunotherapy in Metastatic Melanoma Patients: Real-World Evidence from the Istituto Nazionale Tumori IRCCS Fondazione Pascale, Napoli, Italy. Cancers. 13(16). 4164–4164. 7 indexed citations

16.

Cozzolino, Mauro, Stefania Cocco, Michela Piezzo, et al.. (2021). A Psychosocial Genomics Pilot Study in Oncology for Verifying Clinical, Inflammatory and Psychological Effects of Mind-Body Transformations-Therapy (MBT-T) in Breast Cancer Patients: Preliminary Results. Journal of Clinical Medicine. 10(1). 136–136. 12 indexed citations

17.

Harder, Nathalie, Ralf Schönmeyer, Katharina Nekolla, et al.. (2019). Automatic discovery of image-based signatures for ipilimumab response prediction in malignant melanoma. Scientific Reports. 9(1). 7449–7449. 43 indexed citations

18.

Capone, Mariaelena, Diana Giannarelli, Domenico Mallardo, et al.. (2018). Baseline neutrophil-to-lymphocyte ratio (NLR) and derived NLR could predict overall survival in patients with advanced melanoma treated with nivolumab. Journal for ImmunoTherapy of Cancer. 6(1). 74–74. 351 indexed citations breakdown →

19.

Madonna, Gabriele, Carmen Ballesteros‐Merino, Zipei Feng, et al.. (2017). PD-L1 expression with immune-infiltrate evaluation and outcome prediction in melanoma patients treated with ipilimumab. OncoImmunology. 7(12). e1405206–e1405206. 46 indexed citations

20.

Martens, Alexander, Kilian Wistuba‐Hamprecht, Jianda Yuan, et al.. (2016). Increases in Absolute Lymphocytes and Circulating CD4+ and CD8+ T Cells Are Associated with Positive Clinical Outcome of Melanoma Patients Treated with Ipilimumab. Clinical Cancer Research. 22(19). 4848–4858. 141 indexed citations

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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