Catherine Mooney
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Protein Structure and Dynamics 12
- Machine Learning in Bioinformatics 7
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- EEG and Brain-Computer Interfaces 14
- Co-authors
- Gianluca Pollastri (19 shared papers)Denis C. Shields (13 shared papers)Brett A. Becker (19 shared papers)Niall Haslam (3 shared papers)Lan Wei (24 shared papers)Anna Markella Antoniadi (12 shared papers)Richard J. Fitzgerald (3 shared papers)Claudia Mazo (6 shared papers)
- Journals
- PLoS ONE (8 papers)Scientific Reports (6 papers)Bioinformatics (5 papers)Applied Sciences (4 papers)BMC Bioinformatics (3 papers)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Catherine Mooney
105 papers receiving 3.3k citations
Catherine Mooney's Hit Papers
Peers
Comparison fields: 5 of 170
- Health Informatics 180
- Computer Science Applications 193
- Microbiology 181
- Molecular Biology 1.8k
- Cancer Research 257
Countries citing papers authored by Catherine Mooney
This map shows the geographic impact of Catherine Mooney'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 Catherine Mooney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Mooney more than expected).
Fields of papers citing papers by Catherine Mooney
This network shows the impact of papers produced by Catherine Mooney. 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 Catherine Mooney. The network helps show where Catherine Mooney may publish in the future.
Co-authors
The 25 scholars most cited alongside Catherine Mooney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Towards the Improved Discovery and Design of Functional Peptides: Common Features of Diverse Classes Permit Generalized Prediction of Bioactivity Hit paper breakdown → | 2012 | 481 |
| 2 | Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review Hit paper breakdown → | 2021 | 369 |
| 3 | 2013 | 142 | |
| 4 | 2013 | 140 | |
| 5 | 2014 | 133 | |
| 6 | 2007 | 96 | |
| 7 | 2017 | 96 | |
| 8 | 2018 | 82 | |
| 9 | 2022 | 76 | |
| 10 | 2006 | 76 | |
| 11 | 2016 | 72 | |
| 12 | 2013 | 69 | |
| 13 | 2011 | 63 | |
| 14 | 2020 | 63 | |
| 15 | 2012 | 63 | |
| 16 | 2011 | 53 | |
| 17 | 2013 | 48 | |
| 18 | 2016 | 45 | |
| 19 | 2020 | 43 | |
| 20 | 2009 | 41 |
About Catherine Mooney
Catherine Mooney is a scholar working on Molecular Biology, Cognitive Neuroscience, Cancer Research, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 115 papers that have together received 3.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Epilepsy research and treatment (13 papers), MicroRNA in disease regulation (12 papers), Protein Structure and Dynamics (12 papers), Neonatal and fetal brain pathology (9 papers), Teaching and Learning Programming (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Machine Learning in Bioinformatics (7 papers). The work is most often cited by research in Health Informatics (180 citations), Computer Science Applications (193 citations), Microbiology (181 citations), Molecular Biology (1.8k citations) and Cancer Research (257 citations). Catherine Mooney has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Gianluca Pollastri, Denis C. Shields, Brett A. Becker, Niall Haslam, Lan Wei, Anna Markella Antoniadi, Richard J. Fitzgerald, Claudia Mazo, Yuhan Du and Alice B. Nongonierma. Their work appears in journals such as PLoS ONE, Scientific Reports, Bioinformatics, Applied Sciences and BMC Bioinformatics.
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.