Fabio Corrà
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Mitochondrial Function and Pathology
- RNA modifications and cancer
- ATP Synthase and ATPases Research
- RNA Research and Splicing
Papers in
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- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 6
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- RNA modifications and cancer 4
- Circular RNAs in diseases 3
- RNA Research and Splicing 2
- Kruppel-like factors research 1
- Co-authors
- Stefano Volinia (10 shared papers)Linda Minotti (9 shared papers)Chiara Agnoletto (7 shared papers)Federica Baldassari (7 shared papers)Massimo Negrini (4 shared papers)Laura Lupini (4 shared papers)Lucilla D’Abundo (3 shared papers)Elisa Callegari (3 shared papers)
- Journals
- Current Biology (1 paper)Hepatology (1 paper)Cancers (1 paper)Frontiers in Oncology (1 paper)Amino Acids (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Fabio Corrà
14 papers receiving 827 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 450
- Molecular Biology 571
- Oncology 144
- Sensory Systems 16
- Physiology 11
Countries citing papers authored by Fabio Corrà
This map shows the geographic impact of Fabio Corrà'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 Corrà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Corrà more than expected).
Fields of papers citing papers by Fabio Corrà
This network shows the impact of papers produced by Fabio Corrà. 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 Corrà. The network helps show where Fabio Corrà may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio Corrà, 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 | 2012 | 204 | |
| 2 | 2012 | 151 | |
| 3 | 2019 | 114 | |
| 4 | 2018 | 85 | |
| 5 | 2013 | 71 | |
| 6 | 2018 | 49 | |
| 7 | 2018 | 48 | |
| 8 | Inhibiting the oncogenic mir-221 by microRNA sponge: toward microRNA-based therapeutics for hepatocellular carcinoma. | 2014 | 45 |
| 9 | 2016 | 31 | |
| 10 | 2018 | 16 | |
| 11 | 2021 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2021 | 5 | |
| 14 | 2023 | 1 |
About Fabio Corrà
Fabio Corrà is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 14 papers that have together received 836 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers), Circular RNAs in diseases (3 papers), Blood properties and coagulation (2 papers), Cancer Cells and Metastasis (2 papers), RNA Research and Splicing (2 papers) and Kruppel-like factors research (1 paper). The work is most often cited by research in Cancer Research (450 citations), Molecular Biology (571 citations), Oncology (144 citations), Sensory Systems (16 citations) and Physiology (11 citations). Fabio Corrà has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Stefano Volinia, Linda Minotti, Chiara Agnoletto, Federica Baldassari, Massimo Negrini, Laura Lupini, Lucilla D’Abundo, Elisa Callegari, Silvia Sabbioni and Cristian Bassi. Their work appears in journals such as Current Biology, Hepatology, Cancers, Frontiers in Oncology and Amino Acids.
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.