R.E. McNeill
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Molecular Biology Techniques and Applications
- RNA Research and Splicing
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- Extracellular vesicles in disease
Papers in
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- Molecular Biology Techniques and Applications 3
- RNA Research and Splicing 2
- Circular RNAs in diseases 2
- DNA and Nucleic Acid Chemistry 1
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 2
- Co-authors
- Michael J. Kerin (6 shared papers)Nicola Miller (5 shared papers)Aoïfe Lowery (3 shared papers)Graham Ball (1 shared paper)Sabine Schmidt (1 shared paper)Jonathon Blake (1 shared paper)Vladimı́r Beneš (1 shared paper)Christophe Lemetre (1 shared paper)
- Journals
- BMC Molecular Biology (2 papers)Comparative Biochemistry and Physiology Part D Genomics and Proteomics (1 paper)Clinical Cancer Research (1 paper)Breast Cancer Research (1 paper)Breast Cancer Research and Treatment (1 paper)
- Partner nations
- IrelandUnited KingdomGermany
In The Last Decade
R.E. McNeill
7 papers receiving 825 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 638
- Molecular Biology 686
- Aquatic Science 33
- Oncology 78
- Immunology 56
Countries citing papers authored by R.E. McNeill
This map shows the geographic impact of R.E. McNeill'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 R.E. McNeill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.E. McNeill more than expected).
Fields of papers citing papers by R.E. McNeill
This network shows the impact of papers produced by R.E. McNeill. 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 R.E. McNeill. The network helps show where R.E. McNeill may publish in the future.
Co-authors
The 13 scholars most cited alongside R.E. McNeill, 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 | 2009 | 345 | |
| 2 | 2008 | 222 | |
| 3 | 2008 | 126 | |
| 4 | 2007 | 82 | |
| 5 | 2007 | 49 | |
| 6 | 2009 | 19 | |
| 7 | 2007 | 4 |
About R.E. McNeill
R.E. McNeill is a scholar working on Molecular Biology, Cancer Research, Aquatic Science, Ecology and Genetics, having authored 7 papers that have together received 847 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Molecular Biology Techniques and Applications (3 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), Circular RNAs in diseases (2 papers), DNA and Nucleic Acid Chemistry (1 paper), Aquaculture disease management and microbiota (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Cancer Research (638 citations), Molecular Biology (686 citations), Aquatic Science (33 citations), Oncology (78 citations) and Immunology (56 citations). R.E. McNeill has collaborated with scholars based in Ireland, United Kingdom and Germany. Frequent co-authors include Michael J. Kerin, Nicola Miller, Aoïfe Lowery, Graham Ball, Sabine Schmidt, Jonathon Blake, Vladimı́r Beneš, Christophe Lemetre, Nicola Miller and Michael T. Cairns. Their work appears in journals such as BMC Molecular Biology, Comparative Biochemistry and Physiology Part D Genomics and Proteomics, Clinical Cancer Research, Breast Cancer Research and Breast Cancer Research and Treatment.
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.