Daniela Brina
Impact in
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- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- PI3K/AKT/mTOR signaling in cancer
- Cancer-related gene regulation
- Metabolism, Diabetes, and Cancer
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- Cancer, Hypoxia, and Metabolism
Papers in
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- RNA modifications and cancer 5
- RNA and protein synthesis mechanisms 4
- PI3K/AKT/mTOR signaling in cancer 4
- Peroxisome Proliferator-Activated Receptors 2
- Polyamine Metabolism and Applications 2
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- Immunodeficiency and Autoimmune Disorders 2
- Co-authors
- Stefano Biffo (12 shared papers)Annarita Miluzio (9 shared papers)Sara Ricciardi (7 shared papers)Stefano Grosso (4 shared papers)Anne Beugnet (3 shared papers)Elisa Pesce (3 shared papers)Marilena Mancino (1 shared paper)Ario de Marco (1 shared paper)
- Journals
- Nature Communications (2 papers)Cancer Cell (2 papers)Journal of Thrombosis and Haemostasis (1 paper)Biochemical Society Transactions (1 paper)Cell Cycle (1 paper)
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
Daniela Brina
16 papers receiving 520 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 395
- Cancer Research 67
- Immunology 64
- Cell Biology 49
- Aging 4
Countries citing papers authored by Daniela Brina
This map shows the geographic impact of Daniela Brina'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 Daniela Brina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Brina more than expected).
Fields of papers citing papers by Daniela Brina
This network shows the impact of papers produced by Daniela Brina. 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 Daniela Brina. The network helps show where Daniela Brina may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Brina, 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 | 2011 | 78 | |
| 2 | 2015 | 73 | |
| 3 | 2012 | 64 | |
| 4 | 2014 | 56 | |
| 5 | 2009 | 40 | |
| 6 | 2011 | 35 | |
| 7 | 2015 | 33 | |
| 8 | 2021 | 27 | |
| 9 | 2011 | 21 | |
| 10 | 2016 | 19 | |
| 11 | 2017 | 18 | |
| 12 | 2014 | 17 | |
| 13 | 2017 | 16 | |
| 14 | 2015 | 13 | |
| 15 | 2010 | 7 | |
| 16 | 2025 | 6 |
About Daniela Brina
Daniela Brina is a scholar working on Molecular Biology, Immunology, Physiology, Genetics and Surgery, having authored 16 papers that have together received 523 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Blood disorders and treatments (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Polyamine Metabolism and Applications (2 papers) and Occupational and environmental lung diseases (1 paper). The work is most often cited by research in Molecular Biology (395 citations), Cancer Research (67 citations), Immunology (64 citations), Cell Biology (49 citations) and Aging (4 citations). Daniela Brina has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Stefano Biffo, Annarita Miluzio, Sara Ricciardi, Stefano Grosso, Anne Beugnet, Elisa Pesce, Marilena Mancino, Ario de Marco, Stefano Campaner and Bruno Amati. Their work appears in journals such as Nature Communications, Cancer Cell, Journal of Thrombosis and Haemostasis, Biochemical Society Transactions and Cell Cycle.
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.