Phaedra Agius
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- RNA Research and Splicing
- Circular RNAs in diseases
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
Papers in
-
- RNA Research and Splicing 6
- Gene expression and cancer classification 3
- Circular RNAs in diseases 2
- Genomics and Chromatin Dynamics 2
- RNA modifications and cancer 2
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
- Co-authors
- Christina S. Leslie (5 shared papers)Chris Sander (2 shared papers)Doron Betel (1 shared paper)Aaron Arvey (3 shared papers)William Stafford Noble (2 shared papers)Kristin P. Bennett (3 shared papers)Li‐Xuan Qin (3 shared papers)Samuel Singer (3 shared papers)
- Journals
- Genome Research (2 papers)Genome biology (1 paper)Genes Chromosomes and Cancer (1 paper)Cancer Discovery (1 paper)Statistical Applications in Genetics and Molecular Biology (1 paper)
- Partner nations
- United StatesUnited KingdomEstonia
In The Last Decade
Phaedra Agius
16 papers receiving 2.1k citations
Phaedra Agius's Hit Papers
Peers
Comparison fields: 5 of 115
- Cancer Research 1.1k
- Molecular Biology 1.3k
- Rheumatology 149
- Aging 15
- Immunology 130
Countries citing papers authored by Phaedra Agius
This map shows the geographic impact of Phaedra Agius'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 Phaedra Agius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phaedra Agius more than expected).
Fields of papers citing papers by Phaedra Agius
This network shows the impact of papers produced by Phaedra Agius. 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 Phaedra Agius. The network helps show where Phaedra Agius may publish in the future.
Co-authors
The 25 scholars most cited alongside Phaedra Agius, 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 | Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites Hit paper breakdown → | 2010 | 1319 |
| 2 | 2012 | 158 | |
| 3 | 2015 | 126 | |
| 4 | 2007 | 85 | |
| 5 | 2012 | 79 | |
| 6 | 2016 | 70 | |
| 7 | 2010 | 69 | |
| 8 | 2010 | 48 | |
| 9 | 2017 | 46 | |
| 10 | 2019 | 21 | |
| 11 | 2020 | 21 | |
| 12 | 2010 | 13 | |
| 13 | 2007 | 13 | |
| 14 | 2009 | 11 | |
| 15 | 2009 | 9 | |
| 16 | 2019 | 1 | |
| 17 | 2024 | 0 |
About Phaedra Agius
Phaedra Agius is a scholar working on Molecular Biology, Cancer Research, Rheumatology, Pathology and Forensic Medicine and Infectious Diseases, having authored 17 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), MicroRNA in disease regulation (4 papers), Gene expression and cancer classification (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA modifications and cancer (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (1.3k citations), Rheumatology (149 citations), Aging (15 citations) and Immunology (130 citations). Phaedra Agius has collaborated with scholars based in United States, United Kingdom and Estonia. Frequent co-authors include Christina S. Leslie, Chris Sander, Doron Betel, Aaron Arvey, William Stafford Noble, Kristin P. Bennett, Li‐Xuan Qin, Samuel Singer, Nicholas D. Socci and Aimeé M. Crago. Their work appears in journals such as Genome Research, Genome biology, Genes Chromosomes and Cancer, Cancer Discovery and Statistical Applications in Genetics and Molecular Biology.
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.