Irina M. Armean

23.8k total citations · 1 hit paper
8 papers, 540 citations indexed

About

Irina M. Armean is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Irina M. Armean has authored 8 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Irina M. Armean's work include Genomics and Rare Diseases (4 papers), Genomics and Phylogenetic Studies (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). Irina M. Armean is often cited by papers focused on Genomics and Rare Diseases (4 papers), Genomics and Phylogenetic Studies (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). Irina M. Armean collaborates with scholars based in United Kingdom, Switzerland and Australia. Irina M. Armean's co-authors include Sarah Hunt, Fiona Cunningham, Paul Flicek, Stephen J. Trevanion, Helen Schuilenburg, Andrew Parton, Anja Thormann, William McLaren, Laurent Gil and Dan Sheppard and has published in prestigious journals such as Bioinformatics, Molecular & Cellular Proteomics and BMC Genomics.

In The Last Decade

Irina M. Armean

8 papers receiving 536 citations

Hit Papers

Ensembl variation resources 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irina M. Armean United Kingdom 7 333 130 72 55 49 8 540
Greg Slodkowicz United Kingdom 8 553 1.7× 125 1.0× 58 0.8× 37 0.7× 83 1.7× 10 740
Christian Poitras Canada 13 989 3.0× 97 0.7× 55 0.8× 71 1.3× 57 1.2× 19 1.1k
Stephen T. Guest United States 11 408 1.2× 66 0.5× 74 1.0× 36 0.7× 41 0.8× 16 558
Basak Eraslan United States 5 403 1.2× 59 0.5× 61 0.8× 46 0.8× 67 1.4× 5 564
Vincent DiGiacomo United States 13 296 0.9× 72 0.6× 41 0.6× 41 0.7× 28 0.6× 15 405
Wuhong Pei United States 17 672 2.0× 132 1.0× 35 0.5× 156 2.8× 59 1.2× 23 848
Raphaël Thuret United Kingdom 12 497 1.5× 78 0.6× 39 0.5× 78 1.4× 27 0.6× 17 637
Junko Tsuji United States 12 651 2.0× 112 0.9× 76 1.1× 36 0.7× 42 0.9× 27 804
Stephanie Bechtel Germany 11 387 1.2× 94 0.7× 34 0.5× 131 2.4× 29 0.6× 17 577

Countries citing papers authored by Irina M. Armean

Since Specialization
Citations

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

Fields of papers citing papers by Irina M. Armean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irina M. Armean. 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 Irina M. Armean. The network helps show where Irina M. Armean may publish in the future.

Co-authorship network of co-authors of Irina M. Armean

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

All Works

8 of 8 papers shown
1.
Hunt, Sarah, Benjamin Moore, Irina M. Armean, et al.. (2021). Annotating and prioritizing genomic variants using the Ensembl Variant Effect Predictor—A tutorial. Human Mutation. 43(8). 986–997. 35 indexed citations
2.
Morales, Joannella, Aoife McMahon, Jane Loveland, et al.. (2021). The value of primary transcripts to the clinical and non‐clinical genomics community: Survey results and roadmap for improvements. Molecular Genetics & Genomic Medicine. 9(12). e1786–e1786. 3 indexed citations
3.
Hunt, Sarah, William McLaren, Laurent Gil, et al.. (2018). Ensembl variation resources. Database. 2018. 309 indexed citations breakdown →
4.
Morales‐Hojas, Ramiro, Irina M. Armean, Lara E. Harrup, et al.. (2018). The genome of the biting midge Culicoides sonorensis and gene expression analyses of vector competence for bluetongue virus. BMC Genomics. 19(1). 624–624. 22 indexed citations
5.
Kazakoff, Stephen H., Irina M. Armean, Michael T. Parsons, et al.. (2018). A plugin for the Ensembl Variant Effect Predictor that uses MaxEntScan to predict variant spliceogenicity. Bioinformatics. 35(13). 2315–2317. 45 indexed citations
6.
Armean, Irina M., et al.. (2018). Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation. Bioinformatics. 34(11). 1884–1892. 15 indexed citations
7.
Armean, Irina M., Kathryn S. Lilley, & Matthew Trotter. (2012). Popular Computational Methods to Assess Multiprotein Complexes Derived From Label-Free Affinity Purification and Mass Spectrometry (AP-MS) Experiments. Molecular & Cellular Proteomics. 12(1). 1–13. 46 indexed citations
8.
Rees, Johanna S., Nicholas J. Lowe, Irina M. Armean, et al.. (2011). In Vivo Analysis of Proteomes and Interactomes Using Parallel Affinity Capture (iPAC) Coupled to Mass Spectrometry. Molecular & Cellular Proteomics. 10(6). M110.002386–M110.002386. 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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