Stefano Capomaccio

2.4k total citations
72 papers, 1.2k citations indexed

About

Stefano Capomaccio is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Stefano Capomaccio has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 22 papers in Genetics and 12 papers in Cancer Research. Recurrent topics in Stefano Capomaccio's work include Genetic and phenotypic traits in livestock (13 papers), Cancer-related molecular mechanisms research (9 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Stefano Capomaccio is often cited by papers focused on Genetic and phenotypic traits in livestock (13 papers), Cancer-related molecular mechanisms research (9 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Stefano Capomaccio collaborates with scholars based in Italy, United States and United Kingdom. Stefano Capomaccio's co-authors include Katia Cappelli, Andrea Verini Supplizi, Maurizio Silvestrelli, Michela Felicetti, Fabrizio Passamonti, Mauro Coletti, Giacomo Spinsanti, Marco Milanesi, Maria Luisa Marenzoni and Paolo Ajmone‐Marsan and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Stefano Capomaccio

70 papers receiving 1.2k citations

Peers

Stefano Capomaccio
Stefano Capomaccio
Citations per year, relative to Stefano Capomaccio Stefano Capomaccio (= 1×) peers Katia Cappelli

Countries citing papers authored by Stefano Capomaccio

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Capomaccio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Capomaccio

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Capomaccio. A scholar is included among the top collaborators of Stefano Capomaccio 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 Stefano Capomaccio. Stefano Capomaccio 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.
Pianigiani, Giulia, Stefano Capomaccio, Maria Rachele Ceccarini, et al.. (2025). Hacking Extracellular Vesicles: Using Vesicle-Related Tags to Engineer Mesenchymal Stromal Cell-Derived Extracellular Vesicles. Pharmaceutics. 17(11). 1435–1435. 1 indexed citations
2.
Mecocci, Samanta, Daniele Pietrucci, Marco Milanesi, et al.. (2024). Comparison of colostrum and milk extracellular vesicles small RNA cargo in water buffalo. Scientific Reports. 14(1). 17991–17991. 8 indexed citations
3.
Cappelli, Katia, Samanta Mecocci, Andrea Porceddu, et al.. (2023). Genome-wide epigenetic modifications in sports horses during training as an adaptation phenomenon. Scientific Reports. 13(1). 18786–18786. 3 indexed citations
4.
Capomaccio, Stefano, Michela Ablondi, Cristina Sartori, et al.. (2023). Exploring the Italian equine gene pool via high-throughput genotyping. Frontiers in Genetics. 14. 1099896–1099896. 6 indexed citations
5.
Cappelli, Katia, Samanta Mecocci, Stefano Capomaccio, et al.. (2021). Circulating Transcriptional Profile Modulation in Response to Metabolic Unbalance Due to Long-Term Exercise in Equine Athletes: A Pilot Study. Genes. 12(12). 1965–1965. 6 indexed citations
6.
Mecocci, Samanta, Daniele Pietrucci, Marco Milanesi, et al.. (2021). Transcriptomic Characterization of Cow, Donkey and Goat Milk Extracellular Vesicles Reveals Their Anti-Inflammatory and Immunomodulatory Potential. International Journal of Molecular Sciences. 22(23). 12759–12759. 49 indexed citations
7.
Milanesi, Marco, Katia Cappelli, Andrea Minuti, et al.. (2021). Genetic Regulation of Biomarkers as Stress Proxies in Dairy Cows. Genes. 12(4). 534–534. 5 indexed citations
8.
Cappelli, Katia, Samanta Mecocci, Silvia Gioiosa, et al.. (2020). Gallop Racing Shifts Mature mRNA towards Introns: Does Exercise-Induced Stress Enhance Genome Plasticity?. Genes. 11(4). 410–410. 7 indexed citations
9.
Cappelli, Katia, Stefano Capomaccio, Luisa Pascucci, et al.. (2020). Shedding light on cashmere goat hair follicle biology: from morphology analyses to transcriptomic landascape. BMC Genomics. 21(1). 458–458. 17 indexed citations
10.
Capomaccio, Stefano, Katia Cappelli, Mauro Coletti, et al.. (2019). Equine Adipose-Derived Mesenchymal Stromal Cells Release Extracellular Vesicles Enclosing Different Subsets of Small RNAs. Stem Cells International. 2019. 1–12. 26 indexed citations
11.
Mercati, Francesca, Marco Antonini, Stefano Capomaccio, et al.. (2019). PDGFA in Cashmere Goat: A Motivation for the Hair Follicle Stem Cells to Activate. Animals. 9(2). 38–38. 11 indexed citations
12.
Cappelli, Katia, Stefano Capomaccio, Luisa Pascucci, et al.. (2018). Dietary supplementation with olive mill wastewaters induces modifications on chicken jejunum epithelial cell transcriptome and modulates jejunum morphology. BMC Genomics. 19(1). 576–576. 20 indexed citations
13.
Capomaccio, Stefano, Katia Cappelli, Andrea Verini Supplizi, et al.. (2017). Oregano dietary supplementation modifies the liver transcriptome profile in broilers: RNASeq analysis. Research in Veterinary Science. 117. 85–91. 16 indexed citations
14.
Capomaccio, Stefano, Marco Milanesi, Andrea Giontella, et al.. (2017). Splicing site disruption in the KIT gene as strong candidate for white dominant phenotype in an Italian Trotter. Animal Genetics. 48(6). 727–728. 11 indexed citations
15.
Brachelente, Chiara, Katia Cappelli, Stefano Capomaccio, et al.. (2017). Transcriptome Analysis of Canine Cutaneous Melanoma and Melanocytoma Reveals a Modulation of Genes Regulating Extracellular Matrix Metabolism and Cell Cycle. Scientific Reports. 7(1). 6386–6386. 27 indexed citations
16.
Miglio, Arianna, Valentina Stefanetti, Maria Teresa Antognoni, et al.. (2016). Stored Canine Whole Blood Units: What is the Real Risk of Bacterial Contamination?. Journal of Veterinary Internal Medicine. 30(6). 1830–1837. 17 indexed citations
17.
Capomaccio, Stefano, Nicola Vitulo, Andrea Verini Supplizi, et al.. (2013). RNA Sequencing of the Exercise Transcriptome in Equine Athletes. PLoS ONE. 8(12). e83504–e83504. 46 indexed citations
18.
Marenzoni, Maria Luisa, Katia Cappelli, Stefano Capomaccio, et al.. (2011). Development of a nested PCR for the diagnosis of Rhodococcus equi infection.. 22(2). 13–18. 1 indexed citations
19.
Marenzoni, Maria Luisa, Katia Cappelli, Stefano Capomaccio, et al.. (2011). Sviluppo di un protocollo nested PCR per la diagnosi di infezione da Rhodococcus equi. 13–18. 1 indexed citations
20.
Marenzoni, Maria Luisa, Giovanni Coppola, Margherita Maranesi, et al.. (2010). Equid herpesvirus 5 (EHV-5) infection in 15 foals.. 21(4). 31–34. 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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