Matthew J. O’Neill

1.1k total citations
27 papers, 598 citations indexed

About

Matthew J. O’Neill is a scholar working on Cardiology and Cardiovascular Medicine, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Matthew J. O’Neill has authored 27 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 9 papers in Organic Chemistry and 9 papers in Molecular Biology. Recurrent topics in Matthew J. O’Neill's work include Catalytic Cross-Coupling Reactions (8 papers), Cardiac electrophysiology and arrhythmias (8 papers) and Catalytic C–H Functionalization Methods (5 papers). Matthew J. O’Neill is often cited by papers focused on Catalytic Cross-Coupling Reactions (8 papers), Cardiac electrophysiology and arrhythmias (8 papers) and Catalytic C–H Functionalization Methods (5 papers). Matthew J. O’Neill collaborates with scholars based in United States, Germany and United Kingdom. Matthew J. O’Neill's co-authors include Josep Cornellà, Laurin Wimmer, Frederik Sandfort, Phil S. Baran, Yaya Duan, Yuanhong Ma, Feng Wang, Dan M. Roden, Andrew M. Glazer and Lynn Hall and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Journal of Controlled Release.

In The Last Decade

Matthew J. O’Neill

24 papers receiving 593 citations

Peers

Matthew J. O’Neill

CCM

GENET

Johan Wannberg Sweden

Michael J. Boyd United States

Asaf Alimardanov United States

Cyrille Lescop Switzerland

Mingchun Gao China

Edward C. Lawson United States

Donald B. Miller United States

Dhrubajyoti Datta India

Hélène Couthon‐Gourvès France

Johan Wannberg Sweden

Matthew J. O’Neill

514 ×1.8

229 ×1.2

30 ×0.2

CCM

42 ×0.7

27 ×0.5

GENET

Citations per year, relative to Matthew J. O’Neill Matthew J. O’Neill (= 1×) peers Johan Wannberg

Countries citing papers authored by Matthew J. O’Neill

Since Specialization

Citations

This map shows the geographic impact of Matthew J. O’Neill'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 Matthew J. O’Neill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. O’Neill more than expected).

Fields of papers citing papers by Matthew J. O’Neill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. O’Neill. 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 Matthew J. O’Neill. The network helps show where Matthew J. O’Neill may publish in the future.

Co-authorship network of co-authors of Matthew J. O’Neill

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. O’Neill. A scholar is included among the top collaborators of Matthew J. O’Neill 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 Matthew J. O’Neill. Matthew J. O’Neill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

O’Neill, Matthew J., Joseph F. Solus, G Harvey, et al.. (2025). Automated patch clamp data improve variant classification and penetrance stratification for SCN5A –Brugada syndrome. European Heart Journal.

Glazer, Andrew M., Victoria N. Parikh, Brett M. Kroncke, et al.. (2025). Creating an atlas of variant effects to resolve variants of uncertain significance and guide cardiovascular medicine. Nature Reviews Cardiology. 23(3). 149–163.

Ullah, Rizwan, Matthew J. O’Neill, Giovanni Davogustto, et al.. (2025). Generation of human induced pluripotent stem cell (hiPSC) lines from patients with extreme high and low polygenic scores for QT interval. Stem Cell Research. 84. 103691–103691.

O’Neill, Matthew J., Tao Yang, Julie Laudeman, et al.. (2024). ParSE-seq: a calibrated multiplexed assay to facilitate the clinical classification of putative splice-altering variants. Nature Communications. 15(1). 8320–8320. 3 indexed citations

O’Neill, Matthew J., Ebony Richardson, Kate Thomson, et al.. (2024). Multisite Validation of a Functional Assay to Adjudicate SCN5A Brugada Syndrome–Associated Variants. Circulation Genomic and Precision Medicine. 17(4). e004569–e004569. 3 indexed citations

Oakes, Allison H., et al.. (2024). Understanding Variation in Negotiated Rates Using Novel Health Plan Price Transparency Data. JAMA Health Forum. 5(9). e243020–e243020. 3 indexed citations

Sturmberg, Björn, et al.. (2023). Does site selection need to be democratized? A case study of grid-tied microgrids in Australia. Energy Policy. 183. 113854–113854. 3 indexed citations

O’Neill, Matthew J., Ebony Richardson, Kate Thomson, et al.. (2023). Utility of a High-Throughput Electrophysiology Assay to Determine Pathogenicity of SCN5A Variants Associated With Brugada Syndrome. Heart Lung and Circulation. 32. S131–S132. 1 indexed citations

Kotadia, Irum, Iain Sim, Ali Gharaviri, et al.. (2023). Feasibility of artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis in the current clinical environment: An online survey. EP Europace. 25(Supplement_1). 1 indexed citations

10.

O’Neill, Matthew J., Li Bian, Yuko Wada, et al.. (2022). Dominant negative effects of SCN5A missense variants. Genetics in Medicine. 24(6). 1238–1248. 16 indexed citations

11.

O’Neill, Matthew J., Luca Sala, Isabelle Denjoy, et al.. (2022). Continuous Bayesian variant interpretation accounts for incomplete penetrance among Mendelian cardiac channelopathies. Genetics in Medicine. 25(3). 100355–100355. 5 indexed citations

12.

O’Neill, Matthew J., Zachary T. Yoneda, Diane M. Crawford, et al.. (2021). 2-Hydroxybenzylamine (2-HOBA) to prevent early recurrence of atrial fibrillation after catheter ablation: protocol for a randomized controlled trial including detection of AF using a wearable device. Trials. 22(1). 576–576. 6 indexed citations

13.

Yoneda, Zachary T., Matthew J. O’Neill, Richard A. Sims, et al.. (2021). Early-Onset Atrial Fibrillation and the Prevalence of Rare Variants in Cardiomyopathy and Arrhythmia Genes. JAMA Cardiology. 6(12). 1371–1371. 94 indexed citations

14.

Cruz, Dana, Nina H. Pipalia, Gang Liu, et al.. (2021). Inhibition of Histone Deacetylases 1, 2, and 3 Enhances Clearance of Cholesterol Accumulation in Niemann-Pick C1 Fibroblasts. ACS Pharmacology & Translational Science. 4(3). 1136–1148. 7 indexed citations

15.

Glazer, Andrew M., Yuko Wada, Bian Li, et al.. (2020). High-Throughput Reclassification of SCN5A Variants. The American Journal of Human Genetics. 107(1). 111–123. 83 indexed citations

16.

O’Neill, Matthew J. & Josep Cornellà. (2018). A Perspective in Catalysis: Development of Efficient Methods in the Age of Sustainability. CHIMIA International Journal for Chemistry. 72(9). 601–601. 1 indexed citations

17.

Cornellà, Josep & Matthew J. O’Neill. (2018). Retaining Alkyl Nucleophile Regiofidelity in Transition-Metal-Mediated Cross-Couplings to Aryl Electrophiles. Synthesis. 50(20). 3974–3996. 7 indexed citations

18.

O’Neill, Matthew J., et al.. (2018). Thorpe–Ingold Effect in Branch‐Selective Alkylation of Unactivated Aryl Fluorides. Angewandte Chemie International Edition. 57(29). 9103–9107. 39 indexed citations

19.

O’Neill, Matthew J., et al.. (2014). 33 * ASSESSMENT OF OSTEOPOROSIS RISK IN PATIENTS WITH PARKINSON'S DISEASE AND A FRACTURED NECK OF FEMUR. Age and Ageing. 43(suppl 1). i8–i8. 1 indexed citations

20.

McCarthy, Joanna, Matthew J. O’Neill, Ludovic Bourré, et al.. (2013). Gene silencing of TNF-alpha in a murine model of acute colitis using a modified cyclodextrin delivery system. Journal of Controlled Release. 168(1). 28–34. 65 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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