Andrew M. McIntosh

115.3k total citations · 5 hit papers
375 papers, 17.4k citations indexed

About

Andrew M. McIntosh is a scholar working on Psychiatry and Mental health, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Andrew M. McIntosh has authored 375 papers receiving a total of 17.4k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Psychiatry and Mental health, 104 papers in Genetics and 100 papers in Cognitive Neuroscience. Recurrent topics in Andrew M. McIntosh's work include Functional Brain Connectivity Studies (83 papers), Genetic Associations and Epidemiology (77 papers) and Schizophrenia research and treatment (72 papers). Andrew M. McIntosh is often cited by papers focused on Functional Brain Connectivity Studies (83 papers), Genetic Associations and Epidemiology (77 papers) and Schizophrenia research and treatment (72 papers). Andrew M. McIntosh collaborates with scholars based in United Kingdom, United States and Australia. Andrew M. McIntosh's co-authors include Stephen M. Lawrie, Jérémy Hall, Heather C. Whalley, Eve C. Johnstone, Ian J. Deary, David J. Porteous, Dominic Job, T. William J. Moorhead, Mark J. Adams and Klaus P. Ebmeier and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Neuron.

In The Last Decade

Andrew M. McIntosh

364 papers receiving 17.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants

2018 483 citations Simon R. Cox, Xueyi Shen et al. profile →
Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits

2019 422 citations W. David Hill, Riccardo E. Marioni et al. profile →
Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions

2021 215 citations Andrew M. McIntosh et al. profile →
Gene–environment correlations and causal effects of childhood maltreatment on physical and mental health: a genetically informed approach

2021 114 citations Alex S. F. Kwong, Marcus R. Munafò et al. The Lancet Psychiatry profile →
Refining epigenetic prediction of chronological and biological age

2023 65 citations Daniel L. McCartney, Archie Campbell et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew M. McIntosh United Kingdom	69	6.2k	6.0k	3.9k	2.9k	2.8k	375	17.4k
Jordan W. Smoller United States	70	5.5k 0.9×	8.9k 1.5×	4.4k 1.1×	2.6k 0.9×	2.7k 1.0×	321	24.0k
Stephen M. Lawrie United Kingdom	76	10.1k 1.6×	10.3k 1.7×	2.5k 0.6×	4.7k 1.6×	1.7k 0.6×	410	21.4k
Barbara Franke Netherlands	68	8.0k 1.3×	7.6k 1.3×	2.5k 0.6×	1.1k 0.4×	2.8k 1.0×	447	18.0k
Carrie E. Bearden United States	64	9.1k 1.5×	5.1k 0.8×	2.0k 0.5×	1.5k 0.5×	2.2k 0.8×	375	15.6k
Jair C. Soares United States	74	9.9k 1.6×	5.6k 0.9×	2.0k 0.5×	2.6k 0.9×	1.6k 0.6×	481	19.9k
Nitin Gogtay United States	52	4.2k 0.7×	8.5k 1.4×	1.5k 0.4×	3.2k 1.1×	1.3k 0.5×	112	15.9k
Liv Clasen United States	50	4.6k 0.8×	9.8k 1.6×	1.9k 0.5×	3.3k 1.1×	1.4k 0.5×	121	17.1k
Todd Lencz United States	66	6.0k 1.0×	3.9k 0.6×	2.2k 0.6×	1.2k 0.4×	1.5k 0.5×	198	12.7k
Deanna Greenstein United States	51	5.0k 0.8×	8.3k 1.4×	1.5k 0.4×	2.6k 0.9×	1.3k 0.5×	93	15.2k
Sophia Frangou United Kingdom	66	7.7k 1.2×	6.3k 1.0×	1.3k 0.3×	2.3k 0.8×	975 0.4×	307	14.9k

Countries citing papers authored by Andrew M. McIntosh

Since Specialization

Citations

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

Fields of papers citing papers by Andrew M. McIntosh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew M. McIntosh

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew M. McIntosh. A scholar is included among the top collaborators of Andrew M. McIntosh 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 Andrew M. McIntosh. Andrew M. McIntosh 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

Gillett, Alexandra C., et al.. (2025). Sociodemographic, clinical, and genetic factors associated with self-reported antidepressant response outcomes in the UK Biobank. Psychological Medicine. 55. e80–e80. 3 indexed citations

Grimes, P, Mark J. Adams, Anita Thapar, et al.. (2024). GENOME-WIDE ASSOCIATION STUDY OF ADOLESCENT-ONSET DEPRESSION. European Neuropsychopharmacology. 87. 37–37. 1 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.

Pickersgill, Martyn, Christopher Bunn, Robert C. Stewart, et al.. (2023). Maternal mental health research in Malawi: Community and healthcare provider perspectives on acceptability and ethicality. SHILAP Revista de lepidopterología. 3. 100213–100213. 2 indexed citations

McIntosh, Andrew M., et al.. (2023). Investigating the potential anti-depressive mechanisms of statins: a transcriptomic and Mendelian randomization analysis. Translational Psychiatry. 13(1). 110–110. 6 indexed citations

Barbu, Miruna C., Carmen Amador, Alex S. F. Kwong, et al.. (2022). Complex trait methylation scores in the prediction of major depressive disorder. EBioMedicine. 79. 104000–104000. 4 indexed citations

Nooij, Laura de, Mark J. Adams, Emma L. Hawkins, et al.. (2022). Associations of negative affective biases and depressive symptoms in a community-based sample. Psychological Medicine. 53(12). 5518–5527. 4 indexed citations

Barbu, Miruna C., Archie Campbell, Carmen Amador, et al.. (2021). Methylome-wide association study of antidepressant use in Generation Scotland and the Netherlands Twin Register implicates the innate immune system. Molecular Psychiatry. 27(3). 1647–1657. 10 indexed citations

Knowles, Emma, Juan M. Peralta, Laura Almasy, et al.. (2021). Genetic Overlap Profiles of Cognitive Ability in Psychotic and Affective Illnesses: A Multisite Study of Multiplex Pedigrees. Biological Psychiatry. 90(6). 373–384. 5 indexed citations

10.

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

11.

Howard, David M., Oliver Pain, Ryan Arathimos, et al.. (2021). Methylome-wide association study of early life stressors and adult mental health. Human Molecular Genetics. 31(4). 651–664. 7 indexed citations

12.

Hall, Lynsey S., Mark J. Adams, Aleix Arnau‐Soler, et al.. (2018). Genome-wide meta-analyses of stratified depression in Generation Scotland and UK Biobank. Translational Psychiatry. 8(1). 9–9. 53 indexed citations

13.

Ganzola, Rossana, Andrew M. McIntosh, Thomas E. Nickson, et al.. (2018). Diffusion tensor imaging correlates of early markers of depression in youth at high‐familial risk for bipolar disorder. Journal of Child Psychology and Psychiatry. 59(8). 917–927. 14 indexed citations

14.

Luciano, Michelle, Saskia P. Hagenaars, Gail Davies, et al.. (2017). Association analysis in over 329,000 individuals identifies 116 independent variants influencing neuroticism. Nature Genetics. 50(1). 6–11. 201 indexed citations

15.

Reus, Lianne M., Xueyi Shen, Jude Gibson, et al.. (2017). Association of polygenic risk for major psychiatric illness with subcortical volumes and white matter integrity in UK Biobank. Scientific Reports. 7(1). 42140–42140. 55 indexed citations

16.

Galé, Catharine R., Saskia P. Hagenaars, Gail Davies, et al.. (2016). Pleiotropy between neuroticism and physical and mental health: findings from 108 038 men and women in UK Biobank. Translational Psychiatry. 6(4). e791–e791. 69 indexed citations

17.

McIntosh, Andrew M., Robert Stewart, Ann John, et al.. (2016). Data science for mental health: a UK perspective on a global challenge. The Lancet Psychiatry. 3(10). 993–998. 40 indexed citations

18.

Zeng, Yanni, Pau Navarro, Ana Maria Fernandez-Pujals, et al.. (2016). A Combined Pathway and Regional Heritability Analysis Indicates NETRIN1 Pathway Is Associated With Major Depressive Disorder. Biological Psychiatry. 81(4). 336–346. 27 indexed citations

19.

Walker, Rosie M., Andrea Christoforou, Daniel L. McCartney, et al.. (2016). DNA methylation in a Scottish family multiply affected by bipolar disorder and major depressive disorder. Clinical Epigenetics. 8(1). 5–5. 20 indexed citations

20.

Whalley, Heather C., Emma Sprooten, Lynsey S. Hall, et al.. (2013). Polygenic Risk and White Matter Integrity in Individuals at High Risk of Mood Disorder. Biological Psychiatry. 74(4). 280–286. 72 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.

Explore authors with similar magnitude of impact