Áine Duffy

1.5k total citations
37 papers, 1.0k citations indexed

About

Áine Duffy is a scholar working on Cellular and Molecular Neuroscience, Genetics and Molecular Biology. According to data from OpenAlex, Áine Duffy has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 12 papers in Genetics and 11 papers in Molecular Biology. Recurrent topics in Áine Duffy's work include Neuroscience and Neuropharmacology Research (12 papers), Genetic Associations and Epidemiology (8 papers) and Genomics and Rare Diseases (6 papers). Áine Duffy is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Genetic Associations and Epidemiology (8 papers) and Genomics and Rare Diseases (6 papers). Áine Duffy collaborates with scholars based in United States, France and United Kingdom. Áine Duffy's co-authors include Helen E. Scharfman, Girish N. Nadkarni, Teresa A. Milner, John J. LaFrancois, Korey Kam, Lauren C. Harte‐Hargrove, Ron Do, Iain S. Forrest, Ghislain Rocheleau and Virginia M. Pickel and has published in prestigious journals such as The Lancet, Nature Communications and Neuron.

In The Last Decade

Áine Duffy

34 papers receiving 1.0k citations

Peers

Áine Duffy
Rong Huang China
Manouchehr Seyedi Vafaee Denmark
Yuan Han China
Jukka Peltola Finland
Laura E. Ratcliffe United Kingdom
Wataru Uchida Japan
Jakub Otáhal Czechia
T. Ganes Norway
Rong Huang China
Áine Duffy
Citations per year, relative to Áine Duffy Áine Duffy (= 1×) peers Rong Huang

Countries citing papers authored by Áine Duffy

Since Specialization
Citations

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

Fields of papers citing papers by Áine Duffy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Áine Duffy. 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 Áine Duffy. The network helps show where Áine Duffy may publish in the future.

Co-authorship network of co-authors of Áine Duffy

This figure shows the co-authorship network connecting the top 25 collaborators of Áine Duffy. A scholar is included among the top collaborators of Áine Duffy 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 Áine Duffy. Áine Duffy 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.
Duffy, Áine, David Stein, Joshua K. Park, et al.. (2025). Development of a genetic priority score to predict drug side effects using human genetic evidence. Nature Communications. 16(1). 8713–8713.
2.
Petrazzini, Ben Omega, Áine Duffy, Ghislain Rocheleau, et al.. (2025). Trans-ancestral rare variant association study with machine learning-based phenotyping for metabolic dysfunction-associated steatotic liver disease. Genome biology. 26(1). 50–50. 3 indexed citations
3.
Duffy, Áine, Joshua K. Park, David Stein, et al.. (2025). Genetic evidence informs the direction of therapeutic modulation in drug development. PubMed. 2(1). 24–24.
4.
Duffy, Áine, et al.. (2025). Genomics of drug target prioritization for complex diseases. Nature Reviews Genetics. 27(3). 231–245. 1 indexed citations
5.
Rocheleau, Ghislain, Ben Omega Petrazzini, Iain S. Forrest, et al.. (2025). Genetic analyses of eight complex diseases using predicted continuous representations of disease. Cell Reports Methods. 5(8). 101115–101115. 1 indexed citations
6.
Petrazzini, Ben Omega, Iain S. Forrest, Ghislain Rocheleau, et al.. (2024). Exome sequence analysis identifies rare coding variants associated with a machine learning-based marker for coronary artery disease. Nature Genetics. 56(7). 1412–1419. 9 indexed citations
7.
Duffy, Áine, Ben Omega Petrazzini, David Stein, et al.. (2024). Development of a human genetics-guided priority score for 19,365 genes and 399 drug indications. Nature Genetics. 56(1). 51–59. 11 indexed citations
8.
Duffy, Áine, Ben Omega Petrazzini, Ha My T. Vy, et al.. (2024). Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score. Nature Communications. 15(1). 8891–8891. 5 indexed citations
9.
Forrest, Iain S., Ben Omega Petrazzini, Áine Duffy, et al.. (2023). A machine learning model identifies patients in need of autoimmune disease testing using electronic health records. Nature Communications. 14(1). 2385–2385. 18 indexed citations
10.
Silver, Mitchell, Jay Giri, Áine Duffy, et al.. (2023). Incidence of Mortality and Complications in High-Risk Pulmonary Embolism: A Systematic Review and Meta-Analysis. Journal of the Society for Cardiovascular Angiography & Interventions. 2(1). 100548–100548. 21 indexed citations
11.
Park, Joshua K., Iain S. Forrest, Áine Duffy, et al.. (2023). Phenome-wide Mendelian randomization study of plasma triglyceride levels and 2600 disease traits. eLife. 12. 4 indexed citations
12.
Rocheleau, Ghislain, Iain S. Forrest, Áine Duffy, et al.. (2022). A tissue-level phenome-wide network map of colocalized genes and phenotypes in the UK Biobank. Communications Biology. 5(1). 849–849. 1 indexed citations
13.
Duffy, Áine, Marie Verbanck, Amanda Dobbyn, et al.. (2020). Tissue-specific genetic features inform prediction of drug side effects in clinical trials. Science Advances. 6(37). 35 indexed citations
14.
Chaudhary, Kumardeep, Akhil Vaid, Áine Duffy, et al.. (2020). Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury. Clinical Journal of the American Society of Nephrology. 15(11). 1557–1565. 66 indexed citations
15.
Chan, Lili, Kinsuk Chauhan, Áine Duffy, et al.. (2019). Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients. Kidney International. 97(2). 383–392. 30 indexed citations
16.
Duffy, Áine, et al.. (2017). Acute restraint stress decreases c-fos immunoreactivity in hilar mossy cells of the adult dentate gyrus. Brain Structure and Function. 222(5). 2405–2419. 22 indexed citations
17.
Kam, Korey, et al.. (2016). Interictal spikes during sleep are an early defect in the Tg2576 mouse model of β-amyloid neuropathology. Scientific Reports. 6(1). 20119–20119. 98 indexed citations
18.
Duffy, Áine, Synphen H. Wu, Agnieszka Staniszewski, et al.. (2011). A selective role for ARMS/Kidins220 scaffold protein in spatial memory and trophic support of entorhinal and frontal cortical neurons. Experimental Neurology. 229(2). 409–420. 31 indexed citations
19.
Duffy, Áine, Megan Fitzgerald, June Chan, et al.. (2011). Acetylcholine α7 nicotinic and dopamine D2 receptors are targeted to many of the same postsynaptic dendrites and astrocytes in the rodent prefrontal cortex. Synapse. 65(12). 1350–1367. 29 indexed citations
20.
Duffy, Áine, Ping Zhou, Teresa A. Milner, & Virginia M. Pickel. (2009). Spatial and intracellular relationships between the α7 nicotinic acetylcholine receptor and the vesicular acetylcholine transporter in the prefrontal cortex of rat and mouse. Neuroscience. 161(4). 1091–1103. 35 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Rong Huang Breakdown of academic impact, for papers by Manouchehr Seyedi Vafaee Breakdown of academic impact, for papers by Yuan Han Breakdown of academic impact, for papers by Jukka Peltola Breakdown of academic impact, for papers by Laura E. Ratcliffe Breakdown of academic impact, for papers by Wataru Uchida Breakdown of academic impact, for papers by Jakub Otáhal Breakdown of academic impact, for papers by T. Ganes
Rankless by CCL
2026