Aysu Okbay

11.9k total citations · 1 hit paper
22 papers, 1.2k citations indexed

About

Aysu Okbay is a scholar working on Genetics, Experimental and Cognitive Psychology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Aysu Okbay has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 8 papers in Experimental and Cognitive Psychology and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Aysu Okbay's work include Genetic Associations and Epidemiology (12 papers), Cognitive Abilities and Testing (8 papers) and Birth, Development, and Health (5 papers). Aysu Okbay is often cited by papers focused on Genetic Associations and Epidemiology (12 papers), Cognitive Abilities and Testing (8 papers) and Birth, Development, and Health (5 papers). Aysu Okbay collaborates with scholars based in Netherlands, United States and United Kingdom. Aysu Okbay's co-authors include David Cesarini, Daniel J. Benjamin, Magnus Johannesson, Patrik K. E. Magnusson, David Laibson, Omeed Maghzian, Sven Oskarsson, Benjamin M. Neale, Mark Alan Fontana and Patrick Turley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Aysu Okbay

20 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

Multi-trait analysis of genome-wide association summary statistics using MTAG

2017 538 citations Patrick Turley, Raymond K. Walters et al. Nature Genetics profile →

Peers

Aysu Okbay

GENET

ECP

PPCH

EPIDE

Raymond K. Walters United States

Robbee Wedow United States

Stefania Benónísdóttir United Kingdom

Jack Euesden United Kingdom

Belinda K. Cornes Australia

Alexander I. Young United Kingdom

Gyða Björnsdóttir Iceland

Nancy L. Pedersen Sweden

Jenny van Dongen Netherlands

Hannah Jones United Kingdom

Raymond K. Walters United States

Aysu Okbay

1.1k ×1.6

GENET

359 ×1.6

166 ×0.8

ECP

101 ×0.8

PPCH

153 ×1.7

EPIDE

Citations per year, relative to Aysu Okbay Aysu Okbay (= 1×) peers Raymond K. Walters

Countries citing papers authored by Aysu Okbay

Since Specialization

Citations

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

Fields of papers citing papers by Aysu Okbay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aysu Okbay

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Verhoef, Ellen, Aysu Okbay, Miriam Lense, et al.. (2025). Preschool musicality is associated with school-age communication abilities through genes related to rhythmicity. npj Science of Learning. 10(1). 39–39. 1 indexed citations

Kim, Soyeon, Soo‐Hyun Lim, Sang‐Hyuk Jung, et al.. (2025). Polygenic overlap between subjective well-being and psychiatric disorders and cross-ancestry validation. Nature Human Behaviour. 9(6). 1272–1282.

Willems, Yayouk E., Aysu Okbay, Ulman Lindenberger, et al.. (2025). Polygenic Associations With Educational Attainment in East Versus West Germany: Differences Emerge After Reunification. Psychological Science. 36(7). 559–573. 1 indexed citations

Willems, Yayouk E., Aysu Okbay, David Richter, et al.. (2024). Self-control is associated with health-relevant disparities in buccal DNA-methylation measures of biological aging in older adults. Clinical Epigenetics. 16(1). 22–22. 7 indexed citations

Okbay, Aysu, et al.. (2023). Brains, hormones, and genes: Introduction to the special issue on the biological foundations of economic decision-making. Journal of Economic Psychology. 100. 102683–102683.

Koellinger, Philipp, Aysu Okbay, Hyeokmoon Kweon, et al.. (2023). Cohort profile: Genetic data in the German Socio-Economic Panel Innovation Sample (SOEP-G). PLoS ONE. 18(11). e0294896–e0294896. 8 indexed citations

Young, Alexander I., Stefania Benónísdóttir, Aysu Okbay, et al.. (2022). Mendelian imputation of parental genotypes improves estimates of direct genetic effects. Nature Genetics. 54(6). 897–905. 43 indexed citations

Mallard, Travis T., Richard Karlsson Linnér, Andrew D. Grotzinger, et al.. (2022). Multivariate GWAS of psychiatric disorders and their cardinal symptoms reveal two dimensions of cross-cutting genetic liabilities. Cell Genomics. 2(6). 100140–100140. 42 indexed citations

Kim, Soyeon, Kiwon Kim, Mi Yeong Hwang, et al.. (2022). Shared genetic architectures of subjective well-being in East Asian and European ancestry populations. Nature Human Behaviour. 6(7). 1014–1026. 7 indexed citations

10.

Dawes, Christopher T., Aysu Okbay, Sven Oskarsson, & Aldo Rustichini. (2021). A polygenic score for educational attainment partially predicts voter turnout. Proceedings of the National Academy of Sciences. 118(50). 8 indexed citations

11.

Mitchell, Brittany L., Gabriel Cuéllar-Partida, Katrina L. Grasby, et al.. (2020). Educational attainment polygenic scores are associated with cortical total surface area and regions important for language and memory. NeuroImage. 212. 116691–116691. 25 indexed citations

12.

Bates, Timothy C., Brion S. Maher, Lucía Colodro‐Conde, et al.. (2019). Social Competence in Parents Increases Children’s Educational Attainment: Replicable Genetically-Mediated Effects of Parenting Revealed by Non-Transmitted DNA. Twin Research and Human Genetics. 22(1). 1–3. 22 indexed citations

13.

Bansal, V., Marina Mitjans, Casper A.P. Burik, et al.. (2018). Genome-wide association study results for educational attainment aid in identifying genetic heterogeneity of schizophrenia. Nature Communications. 9(1). 3078–3078. 58 indexed citations

14.

Vlaming, Ronald de, Aysu Okbay, Cornelius A. Rietveld, et al.. (2017). Meta-GWAS Accuracy and Power (MetaGAP) Calculator Shows that Hiding Heritability Is Partially Due to Imperfect Genetic Correlations across Studies. EUR Research Repository (Erasmus University Rotterdam). 45 indexed citations

15.

Okbay, Aysu, Robbee Wedow, Edward Kong, et al.. (2017). GWAS of educational attainment: phase 3-main results. Behavior Genetics. 47(6). 699–700. 2 indexed citations

16.

Tillmann, Taavi, Julien Vaucher, Aysu Okbay, et al.. (2017). Education and coronary heart disease: mendelian randomisation study. BMJ. 358. j3542–j3542. 120 indexed citations

17.

Turley, Patrick, Raymond K. Walters, Omeed Maghzian, et al.. (2017). Multi-trait analysis of genome-wide association summary statistics using MTAG. Nature Genetics. 50(2). 229–237. 538 indexed citations breakdown →

18.

Kong, Augustine, Michael L. Frigge, Guðmar Þorleifsson, et al.. (2017). Selection against variants in the genome associated with educational attainment. Proceedings of the National Academy of Sciences. 114(5). E727–E732. 84 indexed citations

19.

Hill, W. David, Saskia P. Hagenaars, Riccardo E. Marioni, et al.. (2016). Molecular Genetic Contributions to Social Deprivation and Household Income in UK Biobank. Current Biology. 26(22). 3083–3089. 106 indexed citations

20.

Okbay, Aysu & Cornelius A. Rietveld. (2015). On improving the credibility of candidate gene studies: A review of candidate gene studies published in Emotion.. Emotion. 15(4). 531–537. 11 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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