Aleks Stolicyn

2.2k total citations
18 papers, 157 citations indexed

About

Aleks Stolicyn is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Aleks Stolicyn has authored 18 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 8 papers in Experimental and Cognitive Psychology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Aleks Stolicyn's work include Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Health, Environment, Cognitive Aging (4 papers). Aleks Stolicyn is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Health, Environment, Cognitive Aging (4 papers). Aleks Stolicyn collaborates with scholars based in United Kingdom, United States and Netherlands. Aleks Stolicyn's co-authors include J. Douglas Steele, Peggy Seriès, Heather C. Whalley, Andrew M. McIntosh, Mathew A. Harris, Xueyi Shen, Simon R. Cox, Archie Campbell, Anca‐Larisa Sandu and Alison D. Murray and has published in prestigious journals such as PLoS ONE, Brain and Psychological Medicine.

In The Last Decade

Aleks Stolicyn

16 papers receiving 155 citations

Peers

Aleks Stolicyn

ECP

RNMI

PMH

PHYSI

Nicolas Cabé France

Micah Cearns Australia

Alice Lanièpce France

Claas Flint Australia

Irene Voldsbekk Norway

Coralie Lannuzel France

Yuefeng Huang United States

Yuyanan Zhang China

Forrest Koch Australia

Emily K. Clarke‐Rubright United States

Nicolas Cabé France

Aleks Stolicyn

103 ×1.6

63 ×1.3

ECP

15 ×0.6

RNMI

35 ×1.6

PMH

25 ×1.5

PHYSI

Citations per year, relative to Aleks Stolicyn Aleks Stolicyn (= 1×) peers Nicolas Cabé

Countries citing papers authored by Aleks Stolicyn

Since Specialization

Citations

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

Fields of papers citing papers by Aleks Stolicyn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleks Stolicyn

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

All Works

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18 of 18 papers shown

Buchanan, Colin R., Anna E. Fürtjes, Aleks Stolicyn, et al.. (2025). Brain maps of general cognitive functioning: neuroimaging and neurobiological signatures. Translational Psychiatry. 15(1). 461–461.

Stolicyn, Aleks, Mathew A. Harris, Laura de Nooij, et al.. (2024). Disrupted limbic-prefrontal effective connectivity in response to fearful faces in lifetime depression. Journal of Affective Disorders. 351. 983–993. 3 indexed citations

Lyall, Laura M., Aleks Stolicyn, Donald M. Lyall, et al.. (2024). Lifetime depression, sleep disruption and brain structure in the UK Biobank cohort. Journal of Affective Disorders. 374. 247–257. 3 indexed citations

Shen, Xueyi, Aleks Stolicyn, Mark J. Adams, et al.. (2024). A comprehensive hierarchical comparison of structural connectomes in Major Depressive Disorder cases v. controls in two large population samples. Psychological Medicine. 54(10). 2515–2526.

Whalley, Heather C., et al.. (2024). An epidemiological study of season of birth, mental health, and neuroimaging in the UK Biobank. PLoS ONE. 19(5). e0300449–e0300449. 1 indexed citations

Walker, Rosie M., Michael Chong, Nicolas Perrot, et al.. (2024). The circulating proteome and brain health: Mendelian randomisation and cross-sectional analyses. Translational Psychiatry. 14(1). 204–204. 7 indexed citations

Stolicyn, Aleks, Xueyi Shen, Mark J. Adams, et al.. (2023). Classification accuracy of structural and functional connectomes across different depressive phenotypes. Imaging Neuroscience. 2. 1 indexed citations

Stolicyn, Aleks, Laura M. Lyall, Donald M. Lyall, et al.. (2023). Comprehensive assessment of sleep duration, insomnia, and brain structure within the UK Biobank cohort. SLEEP. 47(2). 14 indexed citations

Stolicyn, Aleks, Colin R. Buchanan, Elliot M. Tucker–Drob, et al.. (2022). Predicting sex, age, general cognition and mental health with machine learning on brain structural connectomes. Human Brain Mapping. 44(5). 1913–1933. 16 indexed citations

10.

Shen, Xueyi, Aleks Stolicyn, Mathew A. Harris, et al.. (2022). Comparing personalized brain-based and genetic risk scores for major depressive disorder in large population samples of adults and adolescents. European Psychiatry. 65(1). e44–e44. 1 indexed citations

11.

Shenkin, Susan D., Andrew M. McIntosh, Mark E. Bastin, et al.. (2021). Early life predictors of late life cerebral small vessel disease in four prospective cohort studies. Brain. 144(12). 3769–3778. 26 indexed citations

12.

Shen, Xueyi, Aleks Stolicyn, Laura de Nooij, et al.. (2021). Spectral clustering based on structural magnetic resonance imaging and its relationship with major depressive disorder and cognitive ability. European Journal of Neuroscience. 54(6). 6281–6303. 5 indexed citations

13.

Barbu, Miruna C., Mathew A. Harris, Xueyi Shen, et al.. (2021). Epigenome-wide association study of global cortical volumes in generation Scotland: Scottish family health study. Epigenetics. 17(10). 1143–1158. 3 indexed citations

14.

Green, Claire, Aleks Stolicyn, Mathew A. Harris, et al.. (2021). Hair glucocorticoids are associated with childhood adversity, depressive symptoms and reduced global and lobar grey matter in Generation Scotland. Translational Psychiatry. 11(1). 523–523. 16 indexed citations

15.

Shi, Liu, Colin R. Buchanan, Simon R. Cox, et al.. (2021). Identification of plasma proteins relating to brain neurodegeneration and vascular pathology in cognitively normal individuals. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 13(1). e12240–e12240. 6 indexed citations

16.

Stolicyn, Aleks, J. Douglas Steele, & Peggy Seriès. (2020). Prediction of depression symptoms in individual subjects with face and eye movement tracking. Psychological Medicine. 52(9). 1784–1792. 24 indexed citations

17.

Stolicyn, Aleks, Mathew A. Harris, Xueyi Shen, et al.. (2020). Automated classification of depression from structural brain measures across two independent community‐based cohorts. Human Brain Mapping. 41(14). 3922–3937. 19 indexed citations

18.

Stolicyn, Aleks, J. Douglas Steele, & Peggy Seriès. (2016). Conditioned task-set competition: Neural mechanisms of emotional interference in depression. Cognitive Affective & Behavioral Neuroscience. 17(2). 269–289. 12 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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