Licia Silveri
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Immune Response and Inflammation
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
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- Peroxisome Proliferator-Activated Receptors 1
- Circular RNAs in diseases 1
- Machine Learning in Bioinformatics 1
- Oncology 2
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Fabienne Le Provost (2 shared papers)Jean-Luc Vilotte (1 shared paper)Marco A. Cassatella (1 shared paper)Federica Calzetti (1 shared paper)Luca Crepaldi (1 shared paper)John LaCava (2 shared papers)Jean–Luc Vilotte (1 shared paper)Svetlana Dokudovskaya (2 shared papers)
- Journals
- Italian Journal of Animal Science (1 paper)International Immunology (1 paper)Cytogenetic and Genome Research (1 paper)BMC Genomics (1 paper)Scientific Reports (1 paper)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Licia Silveri
7 papers receiving 168 citations
Peers
Comparison fields: 5 of 46
- Cancer Research 94
- Immunology 33
- Molecular Biology 98
- Equine 2
- Aging 2
Countries citing papers authored by Licia Silveri
This map shows the geographic impact of Licia Silveri'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 Licia Silveri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Licia Silveri more than expected).
Fields of papers citing papers by Licia Silveri
This network shows the impact of papers produced by Licia Silveri. 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 Licia Silveri. The network helps show where Licia Silveri may publish in the future.
Co-authors
The 25 scholars most cited alongside Licia Silveri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 74 | |
| 2 | 2009 | 36 | |
| 3 | 2002 | 28 | |
| 4 | 2017 | 18 | |
| 5 | 2006 | 13 | |
| 6 | 2019 | 2 | |
| 7 | A map of diversity of european and mediterranean sheep as revealed by AFLP markers | 2004 | 1 |
| 8 | 2007 | 0 |
About Licia Silveri
Licia Silveri is a scholar working on Molecular Biology, Oncology, Cancer Research, Dermatology and Biomaterials, having authored 8 papers that have together received 172 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (2 papers), MicroRNA in disease regulation (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Circular RNAs in diseases (1 paper), Machine Learning in Bioinformatics (1 paper), Lipid metabolism and biosynthesis (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Cancer Research (94 citations), Immunology (33 citations), Molecular Biology (98 citations), Equine (2 citations) and Aging (2 citations). Licia Silveri has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Fabienne Le Provost, Jean-Luc Vilotte, Marco A. Cassatella, Federica Calzetti, Luca Crepaldi, John LaCava, Jean–Luc Vilotte, Svetlana Dokudovskaya, Gaëlle Tilly and Johann Laubier. Their work appears in journals such as Italian Journal of Animal Science, International Immunology, Cytogenetic and Genome Research, BMC Genomics and Scientific Reports.
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.