Fabio Caradonna

1.5k total citations
62 papers, 1.1k citations indexed

About

Fabio Caradonna is a scholar working on Molecular Biology, Oncology and Food Science. According to data from OpenAlex, Fabio Caradonna has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 11 papers in Oncology and 9 papers in Food Science. Recurrent topics in Fabio Caradonna's work include Epigenetics and DNA Methylation (12 papers), Bone health and treatments (7 papers) and DNA Repair Mechanisms (6 papers). Fabio Caradonna is often cited by papers focused on Epigenetics and DNA Methylation (12 papers), Bone health and treatments (7 papers) and DNA Repair Mechanisms (6 papers). Fabio Caradonna collaborates with scholars based in Italy, United Kingdom and United States. Fabio Caradonna's co-authors include Carla Gentile, Flores Naselli, Daniele Bellavia, Maurizio Mauro, Claudio Luparello, Giuseppe Mannino, Giulia Sciandrello, Anna Perrone, Gianluca Giavaresi and Viviana Costa and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Fabio Caradonna

60 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Caradonna Italy 20 504 146 139 127 113 62 1.1k
Min Jung Lee South Korea 24 624 1.2× 130 0.9× 256 1.8× 98 0.8× 122 1.1× 114 1.7k
Laurent Marrot France 26 876 1.7× 103 0.7× 86 0.6× 145 1.1× 176 1.6× 48 2.3k
Jia Zhou China 28 869 1.7× 344 2.4× 69 0.5× 160 1.3× 251 2.2× 87 2.1k
Hee‐Kyoung Kang South Korea 27 773 1.5× 254 1.7× 80 0.6× 89 0.7× 65 0.6× 101 1.9k
Suxia Sun China 18 450 0.9× 125 0.9× 56 0.4× 67 0.5× 57 0.5× 45 985
Maria Bastaki United States 21 623 1.2× 171 1.2× 126 0.9× 96 0.8× 124 1.1× 39 1.4k
Barry L. Yano United States 17 338 0.7× 303 2.1× 92 0.7× 81 0.6× 92 0.8× 39 1.4k
Kenji Shiratori Japan 19 507 1.0× 127 0.9× 66 0.5× 175 1.4× 73 0.6× 41 1.4k
Chika Takahashi Japan 26 607 1.2× 298 2.0× 78 0.6× 79 0.6× 30 0.3× 71 1.9k
Changhwan Ahn South Korea 19 303 0.6× 65 0.4× 85 0.6× 76 0.6× 37 0.3× 75 1.0k

Countries citing papers authored by Fabio Caradonna

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Caradonna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Caradonna

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Caradonna. A scholar is included among the top collaborators of Fabio Caradonna 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 Fabio Caradonna. Fabio Caradonna 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.
Ragusa, Maria Antonietta, Carla Gentile, Aldo Nicosia, et al.. (2025). Epigenetic Remodeling of Regulatory Regions by Indicaxanthin Suggests a Shift in Cell Identity Programs in Colorectal Cancer Cells. International Journal of Molecular Sciences. 26(13). 6072–6072.
2.
Chiarelli, Roberto, Fabio Caradonna, & Flores Naselli. (2024). Autophagy and nutrigenomics: a winning team against chronic disease and tumors. Frontiers in Nutrition. 11. 1409142–1409142. 2 indexed citations
3.
Naselli, Flores, Fabio Salvatore Palumbo, Francesco Lopresti, et al.. (2024). New Nanovesicles from Prickly Pear Fruit Juice: A Resource with Antioxidant, Anti-Inflammatory, and Nutrigenomic Properties. Cells. 13(21). 1756–1756. 3 indexed citations
4.
Bruno, Francesca, et al.. (2024). Effects of Pterostilbene on the Cell Division Cycle of a Neuroblastoma Cell Line. Nutrients. 16(23). 4152–4152. 2 indexed citations
5.
Naselli, Flores, et al.. (2024). An alternative approach of TUNEL assay to specifically characterize DNA fragmentation in cell model systems. Histochemistry and Cell Biology. 162(5). 429–442. 8 indexed citations
6.
Naselli, Flores, et al.. (2024). Drought-Adapted Mediterranean Diet Plants: A Source of Bioactive Molecules Able to Give Nutrigenomic Effects per sè or to Obtain Functional Foods. International Journal of Molecular Sciences. 25(4). 2235–2235. 9 indexed citations
7.
Naselli, Flores, et al.. (2024). Challenges and future perspectives of sustainable supplements, functional foods, and nutrigenomics in athletic performance. Human Movement. 25(4). 1–15. 1 indexed citations
8.
Bellavia, Daniele, Fabio Caradonna, Viviana Costa, et al.. (2024). Enzymatic TET-1 inhibition highlights different epigenetic behaviours of IL-1β and TNFα in tumour progression of OS cell lines. Clinical Epigenetics. 16(1). 136–136. 4 indexed citations
9.
Librizzi, Mariangela, et al.. (2023). Parathyroid Hormone Related Protein (PTHrP)-Associated Molecular Signatures in Tissue Differentiation and Non-Tumoral Diseases. Biology. 12(7). 950–950. 8 indexed citations
10.
Naselli, Flores, Daniele Bellavia, Viviana Costa, et al.. (2023). Osteoarthritis in the Elderly Population: Preclinical Evidence of Nutrigenomic Activities of Flavonoids. Nutrients. 16(1). 112–112. 15 indexed citations
11.
Luparello, Claudio, Andreas C. Joerger, Cory A. Ocasio, et al.. (2021). Genotoxicity and Epigenotoxicity of Carbazole-Derived Molecules on MCF-7 Breast Cancer Cells. International Journal of Molecular Sciences. 22(7). 3410–3410. 5 indexed citations
12.
Mannino, Giuseppe, Carla Gentile, Alessandra Porcu, et al.. (2020). Chemical Profile and Biological Activity of Cherimoya (Annona cherimola Mill.) and Atemoya (Annona atemoya) Leaves. Molecules. 25(11). 2612–2612. 50 indexed citations
13.
14.
Longo, Alessandra, Mariangela Librizzi, Flores Naselli, et al.. (2013). PTHrP in differentiating human mesenchymal stem cells: Transcript isoform expression, promoter methylation, and protein accumulation. Biochimie. 95(10). 1888–1896. 18 indexed citations
15.
Naselli, Flores, et al.. (2013). Role and importance of polymorphisms with respect to DNA methylation for the expression of CYP2E1 enzyme. Gene. 536(1). 29–39. 26 indexed citations
16.
Caradonna, Fabio, et al.. (2012). Genomic instability induced by  -pinene in Chinese hamster cell line. Mutagenesis. 27(4). 463–469. 25 indexed citations
17.
Gentile, Carla, M. A. Livrea, Fabio Caradonna, et al.. (2012). Antiproliferative and pro-apoptotic effects of the phytochemical Indicaxanthin on human intestinal (Caco-2) and hepatic (Ha 22T) cancer cell lines. 1 indexed citations
18.
19.
Sciandrello, Giulia, et al.. (2004). Karyotype Abnormalities in a Variant Chinese Hamster Cell Line Resistant to Methyl Methanesulphonate. Hereditas. 124(1). 39–46. 4 indexed citations
20.
Caradonna, Fabio, et al.. (1993). Sister chromatid exchange in Waldenström's macroglobulinemia. Cancer Genetics and Cytogenetics. 66(1). 63–69. 2 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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