Iryna Voytyuk

3.7k total citations · 1 hit paper
9 papers, 850 citations indexed

About

Iryna Voytyuk is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Iryna Voytyuk has authored 9 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Iryna Voytyuk's work include Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (2 papers) and Computational Drug Discovery Methods (2 papers). Iryna Voytyuk is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (2 papers) and Computational Drug Discovery Methods (2 papers). Iryna Voytyuk collaborates with scholars based in United Kingdom, Belgium and Germany. Iryna Voytyuk's co-authors include Bart De Strooper, Eloïse Hudry, Eric Karran, Bradley T. Hyman, Thomas Möller, Sudeshna Das, Gyan Srivastava, Inga Schmidt, Takaomi C. Saido and Mark Fiers and has published in prestigious journals such as Biological Psychiatry, Cell Reports and Experimental Neurology.

In The Last Decade

Iryna Voytyuk

8 papers receiving 842 citations

Hit Papers

The Major Risk Factors for Alzheimer’s Disease: Age, Sex,... 2019 2026 2021 2023 2019 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Major Risk Factors for Alzheimer’s Disease: Age, Sex, and Genes Modulate the Microglia Response to Aβ Plaques
    2019 539 citations Carlo Sala Frigerio, Leen Wolfs et al. Cell Reports profile →

Peers

Iryna Voytyuk
Eva Czirr United States
Marcel Maier United States
Justin T. Hole United States
Ricardo Albay United States
Juan Ramón Perea Spain
Santiago V. Salazar United States
S. Paul United States
Jennifer Rodriguez-Rivera United States
David Le United States
Peter Thériault Canada
Eva Czirr United States
Iryna Voytyuk
Citations per year, relative to Iryna Voytyuk Iryna Voytyuk (= 1×) peers Eva Czirr

Countries citing papers authored by Iryna Voytyuk

Since Specialization
Citations

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

Fields of papers citing papers by Iryna Voytyuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iryna Voytyuk

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

All Works

9 of 9 papers shown
1.
Alves, Rui, Ana Gonçalves, Iryna Voytyuk, & David J. Harrison. (2025). Behaviour profile characterization of PS19 and rTg4510 tauopathy mouse models: A systematic review and a meta-analysis. Experimental Neurology. 389. 115234–115234. 1 indexed citations
2.
Rooney, Timothy P. C., Helen E. Scott, Henriëtte M. G. Willems, et al.. (2025). Development of the Pyrido[2,3-d]pyrimidin-7(8H)-one Scaffold toward Potent and Selective NUAK1 Inhibitors. ACS Medicinal Chemistry Letters. 16(2). 327–335.
3.
McDade, Eric, Iryna Voytyuk, Paul Aisen, et al.. (2021). The case for low-level BACE1 inhibition for the prevention of Alzheimer disease. Nature Reviews Neurology. 17(11). 703–714. 96 indexed citations
4.
Frigerio, Carlo Sala, Leen Wolfs, Nicola Fattorelli, et al.. (2019). The Major Risk Factors for Alzheimer’s Disease: Age, Sex, and Genes Modulate the Microglia Response to Aβ Plaques. Cell Reports. 27(4). 1293–1306.e6. 539 indexed citations breakdown →
5.
Voytyuk, Iryna, Stephan A. Müller, An Snellinx, et al.. (2018). BACE2 distribution in major brain cell types and identification of novel substrates. Life Science Alliance. 1(1). e201800026–e201800026. 43 indexed citations
6.
Voytyuk, Iryna, Bart De Strooper, & Lucía Chávez‐Gutiérrez. (2017). Modulation of γ- and β-Secretases as Early Prevention Against Alzheimer’s Disease. Biological Psychiatry. 83(4). 320–327. 51 indexed citations
7.
Pigoni, Martina, Johanna Wanngren, Peer‐Hendrik Kuhn, et al.. (2016). Seizure protein 6 and its homolog seizure 6-like protein are physiological substrates of BACE1 in neurons. Molecular Neurodegeneration. 11(1). 67–67. 84 indexed citations
8.
Raja, Erna, Kalliopi Tzavlaki, Karolina Edlund, et al.. (2015). The protein kinase LKB1 negatively regulates bone morphogenetic protein receptor signaling. Oncotarget. 7(2). 1120–1143. 16 indexed citations
9.
Voytyuk, Iryna, et al.. (2012). Autophagy can promote but is not required for epithelial cell extrusion in the amnioserosa of the Drosophila embryo. Autophagy. 8(2). 252–264. 20 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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