Aoife Doherty

928 total citations
10 papers, 296 citations indexed

About

Aoife Doherty is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Aoife Doherty has authored 10 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Physiology. Recurrent topics in Aoife Doherty's work include Genetics, Aging, and Longevity in Model Organisms (2 papers), Bioinformatics and Genomic Networks (2 papers) and RNA Research and Splicing (2 papers). Aoife Doherty is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (2 papers), Bioinformatics and Genomic Networks (2 papers) and RNA Research and Splicing (2 papers). Aoife Doherty collaborates with scholars based in United Kingdom, Ireland and Germany. Aoife Doherty's co-authors include João Pedro de Magalhães, Alex A. Freitas, Daniel H. Palmer, Fábio Fabris, James O. McInerney, Nora Khaldi, Martin Kussmann, Gianni Monaco, Patrick Guest and Christopher Ford and has published in prestigious journals such as Bioinformatics, Molecular Biology and Evolution and Biological reviews/Biological reviews of the Cambridge Philosophical Society.

In The Last Decade

Aoife Doherty

10 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aoife Doherty United Kingdom 8 154 65 35 27 27 10 296
E. V. Kashina Russia 10 129 0.8× 55 0.8× 16 0.5× 33 1.2× 58 2.1× 23 310
Juan Antonio Rodríguez Spain 10 183 1.2× 194 3.0× 53 1.5× 19 0.7× 16 0.6× 19 425
Boris Rebolledo‐Jaramillo Chile 9 257 1.7× 67 1.0× 13 0.4× 23 0.9× 21 0.8× 14 375
Gilad Barshad United States 7 319 2.1× 73 1.1× 14 0.4× 45 1.7× 32 1.2× 11 391
Yeonwoo Park United States 10 344 2.2× 90 1.4× 17 0.5× 35 1.3× 12 0.4× 18 478
Lucie N. Hutchins United States 7 310 2.0× 213 3.3× 21 0.6× 45 1.7× 22 0.8× 8 519
Wei‐Siang Liau United States 12 236 1.5× 48 0.7× 86 2.5× 52 1.9× 30 1.1× 15 361
Jose M. Knee Canada 7 104 0.7× 48 0.7× 16 0.5× 11 0.4× 90 3.3× 8 357
Kimberly Van Auken United States 11 366 2.4× 41 0.6× 105 3.0× 37 1.4× 23 0.9× 16 468
Vishal Sarsani United States 6 107 0.7× 102 1.6× 8 0.2× 20 0.7× 16 0.6× 13 256

Countries citing papers authored by Aoife Doherty

Since Specialization
Citations

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

Fields of papers citing papers by Aoife Doherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aoife Doherty

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

All Works

10 of 10 papers shown
1.
Doherty, Aoife, et al.. (2021). Artificial Intelligence in Functional Food Ingredient Discovery and Characterisation: A Focus on Bioactive Plant and Food Peptides. Frontiers in Genetics. 12. 768979–768979. 24 indexed citations
2.
Palmer, Daniel H., Fábio Fabris, Aoife Doherty, Alex A. Freitas, & João Pedro de Magalhães. (2021). Ageing transcriptome meta-analysis reveals similarities and differences between key mammalian tissues. Aging. 13(3). 3313–3341. 48 indexed citations
4.
Doherty, Aoife, et al.. (2020). A scan for genes associated with cancer mortality and longevity in pedigree dog breeds. Mammalian Genome. 31(7-8). 215–227. 15 indexed citations
5.
Fabris, Fábio, Aoife Doherty, Daniel H. Palmer, João Pedro de Magalhães, & Alex A. Freitas. (2018). A new approach for interpreting Random Forest models and its application to the biology of ageing. Bioinformatics. 34(14). 2449–2456. 50 indexed citations
6.
Doherty, Aoife, et al.. (2018). From humans to hydra: patterns of cancer across the tree of life. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 93(3). 1715–1734. 85 indexed citations
7.
Doherty, Aoife, et al.. (2017). Identification of polymorphisms in cancer patients that differentially affect survival with age. Aging. 9(10). 2117–2136. 5 indexed citations
8.
Doherty, Aoife & João Pedro de Magalhães. (2016). Has gene duplication impacted the evolution of Eutherian longevity?. Aging Cell. 15(5). 978–980. 15 indexed citations
9.
Doherty, Aoife & James O. McInerney. (2013). Translational Selection Frequently Overcomes Genetic Drift in Shaping Synonymous Codon Usage Patterns in Vertebrates. Molecular Biology and Evolution. 30(10). 2263–2267. 35 indexed citations
10.
Doherty, Aoife, David Alvarez‐Ponce, & James O. McInerney. (2012). Increased Genome Sampling Reveals a Dynamic Relationship between Gene Duplicability and the Structure of the Primate Protein–Protein Interaction Network. Molecular Biology and Evolution. 29(11). 3563–3573. 5 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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