Peppino Mirabelli

3.2k total citations
71 papers, 2.2k citations indexed

About

Peppino Mirabelli is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Peppino Mirabelli has authored 71 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 21 papers in Oncology and 19 papers in Cancer Research. Recurrent topics in Peppino Mirabelli's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Cancer Cells and Metastasis (9 papers) and Cancer Genomics and Diagnostics (8 papers). Peppino Mirabelli is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Cancer Cells and Metastasis (9 papers) and Cancer Genomics and Diagnostics (8 papers). Peppino Mirabelli collaborates with scholars based in Italy, Switzerland and United States. Peppino Mirabelli's co-authors include Marco Salvatore, Luigi Coppola, Mariarosaria Incoronato, Rosa Di Noto, Anna Grimaldi, Luigi Del Vecchio, Andrea Soricelli, Alessandra Cianflone, Carlo Cavaliere and Marco Aiello and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and Cancer.

In The Last Decade

Peppino Mirabelli

69 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Peppino Mirabelli 963 349 344 297 292 71 2.2k
Lihua Xie 991 1.0× 243 0.7× 242 0.7× 220 0.7× 179 0.6× 133 2.3k
Anna Grimaldi 1.1k 1.2× 545 1.6× 433 1.3× 290 1.0× 153 0.5× 80 2.6k
Min Hu 1.2k 1.2× 651 1.9× 629 1.8× 170 0.6× 139 0.5× 144 2.8k
Matt Kelly 686 0.7× 429 1.2× 236 0.7× 423 1.4× 264 0.9× 139 3.8k
Philipp E. Geyer 2.2k 2.3× 236 0.7× 207 0.6× 111 0.4× 460 1.6× 38 4.1k
Marco Prunotto 1.5k 1.6× 209 0.6× 346 1.0× 462 1.6× 146 0.5× 80 3.8k
Ali Zarrinpar 1.5k 1.6× 334 1.0× 428 1.2× 130 0.4× 110 0.4× 105 4.4k
Kuang‐Yu Jen 1.4k 1.5× 479 1.4× 617 1.8× 265 0.9× 87 0.3× 79 2.9k
Joanna Polańska 1.0k 1.1× 460 1.3× 275 0.8× 382 1.3× 77 0.3× 171 2.6k
Douglas J. Hartman 849 0.9× 332 1.0× 909 2.6× 450 1.5× 106 0.4× 117 3.4k

Countries citing papers authored by Peppino Mirabelli

Since Specialization
Citations

This map shows the geographic impact of Peppino Mirabelli'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 Peppino Mirabelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peppino Mirabelli more than expected).

Fields of papers citing papers by Peppino Mirabelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peppino Mirabelli. 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 Peppino Mirabelli. The network helps show where Peppino Mirabelli may publish in the future.

Co-authorship network of co-authors of Peppino Mirabelli

This figure shows the co-authorship network connecting the top 25 collaborators of Peppino Mirabelli. A scholar is included among the top collaborators of Peppino Mirabelli 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 Peppino Mirabelli. Peppino Mirabelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Marizzoni, Moira, Elisa Mombelli, Davide Vito Moretti, et al.. (2025). Microbiota-gut-brain axis dysregulation in Alzheimer’s disease and its modulation through probiotic supplementation. Brain Behavior and Immunity. 131. 106138–106138.
2.
Brancato, Valentina, Luigi Coppola, Carlo Cavaliere, et al.. (2024). Standardizing digital biobanks: integrating imaging, genomic, and clinical data for precision medicine. Journal of Translational Medicine. 22(1). 136–136. 34 indexed citations
3.
Savarese, Maria Flavia, et al.. (2023). Circulating Biomarkers for Monitoring Chemotherapy-Induced Cardiotoxicity in Children. Pharmaceutics. 15(12). 2712–2712. 6 indexed citations
4.
Cianflone, Alessandra, et al.. (2023). Pediatric biobanks to enhance clinical and translational research for children. European Journal of Pediatrics. 182(4). 1459–1468. 5 indexed citations
5.
Iside, Concetta, Ornella Affinito, Bruna Punzo, et al.. (2023). Stratification of Patients with Coronary Artery Disease by Circulating Cytokines Profile: A Pilot Study. Journal of Clinical Medicine. 12(20). 6649–6649. 2 indexed citations
6.
Coppola, Luigi, Peppino Mirabelli, Anna Estraneo, et al.. (2022). An innovative approach for the evaluation of prolonged disorders of consciousness using NF-L and GFAP biomarkers: a pivotal study. Scientific Reports. 12(1). 18446–18446. 7 indexed citations
7.
Smaldone, Giovanni, Luigi Coppola, Katia Pane, et al.. (2021). KCTD15 deregulation is associated with alterations of the NF-κB signaling in both pathological and physiological model systems. Scientific Reports. 11(1). 18237–18237. 7 indexed citations
8.
Orlandella, Francesca Maria, Peppino Mirabelli, Vito Alessandro Lasorsa, et al.. (2020). miR-622 is a novel potential biomarker of breast carcinoma and impairs motility of breast cancer cells through targeting NUAK1 kinase. British Journal of Cancer. 123(3). 426–437. 23 indexed citations
9.
Smaldone, Giovanni, Mariarosaria Incoronato, Katia Pane, et al.. (2019). KCTD15 is overexpressed in human childhood B-cell acute lymphoid leukemia. Scientific Reports. 9(1). 20108–20108. 19 indexed citations
10.
Monti, Serena, Marco Aiello, Mariarosaria Incoronato, et al.. (2018). DCE-MRI Pharmacokinetic-Based Phenotyping of Invasive Ductal Carcinoma: A Radiomic Study for Prediction of Histological Outcomes. Contrast Media & Molecular Imaging. 2018. 1–11. 41 indexed citations
11.
Mancini, Marcello, Paul Summers, Francesco Faita, et al.. (2018). Digital liver biopsy: Bio-imaging of fatty liver for translational and clinical research. World Journal of Hepatology. 10(2). 231–245. 15 indexed citations
12.
Managò, Stefano, et al.. (2017). Raman detection and identification of normal and leukemic hematopoietic cells. Journal of Biophotonics. 11(5). 46 indexed citations
13.
Fusco, Francesca, Alessandra Pescatore, Matilde Immacolata Conte, et al.. (2015). EDA-ID and IP, Two Faces of the Same Coin: How the Same IKBKG / NEMO Mutation Affecting the NF-κB Pathway Can Cause Immunodeficiency and/or Inflammation. International Reviews of Immunology. 34(6). 445–459. 69 indexed citations
14.
Incoronato, Mariarosaria, Peppino Mirabelli, Onofrio A. Catalano, et al.. (2014). CA15-3 is a useful serum tumor marker for diagnostic integration of hybrid positron emission tomography with integrated computed tomography during follow-up of breast cancer patients. BMC Cancer. 14(1). 356–356. 18 indexed citations
15.
Rizzo, Riccardo, Seetharaman Parashuraman, Peppino Mirabelli, et al.. (2013). The dynamics of engineered resident proteins in the mammalian Golgi complex relies on cisternal maturation. The Journal of Cell Biology. 201(7). 1027–1036. 47 indexed citations
16.
Mirabelli, Peppino, Maddalena Raia, Rosa Di Noto, et al.. (2011). Miniaturized flow cytometry-based BCR-ABL immunoassay in detecting leptomeningeal disease. Leukemia Research. 35(10). 1290–1293. 10 indexed citations
17.
Mirabelli, Peppino, et al.. (2011). Mollicutes contamination: A new strategy for an effective rescue of cancer cell lines. Biologicals. 40(1). 88–91. 5 indexed citations
18.
Esposito, Maria Teresa, Rosa Di Noto, Peppino Mirabelli, et al.. (2009). Culture Conditions Allow Selection of Different Mesenchymal Progenitors from Adult Mouse Bone Marrow. Tissue Engineering Part A. 15(9). 2525–2536. 18 indexed citations
19.
20.
Noto, Rosa Di, Giulia Scalia, Getahun Abate, et al.. (2008). Critical role of multidimensional flow cytometry in detecting occult leptomeningeal disease in newly diagnosed aggressive B-cell lymphomas. Leukemia Research. 32(8). 1196–1199. 35 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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