Catherine Mooney

4.7k total citations · 2 hit papers
115 papers, 3.3k citations indexed

About

Catherine Mooney is a scholar working on Molecular Biology, Cognitive Neuroscience and Cancer Research. According to data from OpenAlex, Catherine Mooney has authored 115 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 18 papers in Cognitive Neuroscience and 16 papers in Cancer Research. Recurrent topics in Catherine Mooney's work include EEG and Brain-Computer Interfaces (15 papers), Epilepsy research and treatment (13 papers) and Protein Structure and Dynamics (12 papers). Catherine Mooney is often cited by papers focused on EEG and Brain-Computer Interfaces (15 papers), Epilepsy research and treatment (13 papers) and Protein Structure and Dynamics (12 papers). Catherine Mooney collaborates with scholars based in Ireland, United States and United Kingdom. Catherine Mooney's co-authors include Gianluca Pollastri, Denis C. Shields, Brett A. Becker, Niall Haslam, Lan Wei, Richard J. Fitzgerald, Anna Markella Antoniadi, Claudia Mazo, Yuhan Du and Alice B. Nongonierma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Catherine Mooney

102 papers receiving 3.2k citations

Hit Papers

Towards the Improved Discovery and Design of Functional P... 2012 2026 2016 2021 2012 2021 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Catherine Mooney Ireland 30 1.8k 407 289 229 215 115 3.3k
James C. Costello United States 29 2.9k 1.6× 201 0.5× 528 1.8× 47 0.2× 33 0.2× 82 4.6k
Ying‐Ju Chen Taiwan 27 719 0.4× 112 0.3× 104 0.4× 147 0.6× 60 0.3× 122 2.5k
Casey S. Greene United States 38 2.8k 1.5× 699 1.7× 457 1.6× 18 0.1× 107 0.5× 144 4.9k
Ahmed H. Badran United States 20 5.7k 3.1× 155 0.4× 71 0.2× 359 1.6× 40 0.2× 32 6.8k
Esmaeil Ebrahimie Australia 30 1.6k 0.9× 118 0.3× 278 1.0× 26 0.1× 8 0.0× 193 3.4k
Preetam Ghosh United States 30 1.4k 0.8× 258 0.6× 129 0.4× 23 0.1× 16 0.1× 215 3.3k
Sean D. Mooney United States 39 3.7k 2.0× 270 0.7× 363 1.3× 27 0.1× 130 0.6× 140 6.0k
Yaniv Erlich United States 27 2.7k 1.4× 667 1.6× 687 2.4× 27 0.1× 75 0.3× 45 4.5k
Eliza Strickland United States 25 1.5k 0.8× 150 0.4× 38 0.1× 36 0.2× 84 0.4× 106 3.0k
Jennifer Listgarten United States 26 4.1k 2.3× 183 0.4× 283 1.0× 115 0.5× 35 0.2× 51 6.1k

Countries citing papers authored by Catherine Mooney

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Catherine Mooney

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Mooney. A scholar is included among the top collaborators of Catherine Mooney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Catherine Mooney. Catherine Mooney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Huina, Lan Wei, Bo Liu, et al.. (2025). Transformer-Based Explainable Model for Breast Cancer Lesion Segmentation. Applied Sciences. 15(3). 1295–1295. 2 indexed citations
2.
Becker, Brett A., et al.. (2025). Sense of belonging in undergraduate computing students: A scoping review. Educational Research Review. 47. 100683–100683.
3.
Mooney, Catherine, María Luisa Scattoni, Laura Ricceri, et al.. (2025). Deregulated mRNA and microRNA Expression Patterns in the Prefrontal Cortex of the BTBR Mouse Model of Autism. Molecular Neurobiology. 62(8). 10614–10634. 1 indexed citations
4.
Becker, Brett A., et al.. (2024). Pathways to Belonging: Understanding How University Entry Routes Shape the Sense of Belonging of Undergraduate Computing Students. ACM Transactions on Computing Education. 24(4). 1–19. 1 indexed citations
5.
Mamad, Omar, et al.. (2024). Classification System for Predicting Emergent Epilepsy Phenotype in the Intra-Amygdala Kainic Acid Mouse Model of Epilepsy. IEEE Transactions on Biomedical Engineering. 72(3). 978–987. 1 indexed citations
6.
Mooney, Catherine, et al.. (2024). AI-Based Electroencephalogram Analysis in Rodent Models of Epilepsy: A Systematic Review. Applied Sciences. 14(16). 7398–7398. 1 indexed citations
7.
Antoniadi, Anna Markella, et al.. (2023). Student Sense of Belonging: The Role of Gender Identity and Minoritisation in Computing and Other Sciences. 87–96. 9 indexed citations
8.
Mooney, Catherine, Fiona McNeill, & Brett A. Becker. (2023). Evaluating the Sense of Belonging of Undergraduate Computing Students in the UK and Ireland. Research Repository UCD (University College Dublin). 1–2.
10.
Becker, Brett A., et al.. (2023). Sense of Belonging of Undergraduate Computing Students: A Comparative Analysis of University Entry Routes. Research Repository UCD (University College Dublin). 1–1.
11.
Mazo, Claudia, Claudia Aura, Arman Rahman, William M. Gallagher, & Catherine Mooney. (2022). Application of Artificial Intelligence Techniques to Predict Risk of Recurrence of Breast Cancer: A Systematic Review. Journal of Personalized Medicine. 12(9). 1496–1496. 19 indexed citations
12.
Wei, Lan, et al.. (2021). Spindle-AI: Sleep Spindle Number and Duration Estimation in Infant EEG. IEEE Transactions on Biomedical Engineering. 69(1). 465–474. 8 indexed citations
13.
Higgins, Debra F., Claudia Mazo, William Watson, et al.. (2021). Future of biomarker evaluation in the realm of artificial intelligence algorithms: application in improved therapeutic stratification of patients with breast and prostate cancer. Journal of Clinical Pathology. 74(7). 429–434. 27 indexed citations
14.
Antoniadi, Anna Markella, Yuhan Du, Lan Wei, et al.. (2021). Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review. Applied Sciences. 11(11). 5088–5088. 347 indexed citations breakdown →
15.
Antoniadi, Anna Markella, Miriam Galvin, Mark Heverin, Orla Hardiman, & Catherine Mooney. (2021). Development of an explainable clinical decision support system for the prediction of patient quality of life in amyotrophic lateral sclerosis. Research Repository UCD (University College Dublin). 594–602. 9 indexed citations
16.
Mazo, Claudia, et al.. (2020). Clinical Decision Support Systems in Breast Cancer: A Systematic Review. Cancers. 12(2). 369–369. 60 indexed citations
17.
Antoniadi, Anna Markella, Miriam Galvin, Mark Heverin, Orla Hardiman, & Catherine Mooney. (2020). Prediction of caregiver burden in amyotrophic lateral sclerosis: a machine learning approach using random forests applied to a cohort study. BMJ Open. 10(2). e033109–e033109. 21 indexed citations
18.
Mooney, Catherine. (2016). Clare of Assisi and the Thirteenth-Century Church. University of Pennsylvania Press eBooks. 2 indexed citations
19.
Kruer, Michael C., Mustafa A. Salih, Catherine Mooney, et al.. (2013). C19orf12 mutation leads to a pallido-pyramidal syndrome. Gene. 537(2). 352–356. 22 indexed citations
20.
Baù, Davide, Alberto J. M. Martín, Catherine Mooney, et al.. (2006). Distill: a suite of web servers for the prediction of one-, two- and three-dimensional structural features of proteins. BMC Bioinformatics. 7(1). 402–402. 76 indexed citations

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.

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