Stephen M. Lawrie

46.1k total citations · 5 hit papers
410 papers, 21.4k citations indexed

About

Stephen M. Lawrie is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Stephen M. Lawrie has authored 410 papers receiving a total of 21.4k indexed citations (citations by other indexed papers that have themselves been cited), including 218 papers in Psychiatry and Mental health, 186 papers in Cognitive Neuroscience and 100 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Stephen M. Lawrie's work include Schizophrenia research and treatment (182 papers), Functional Brain Connectivity Studies (150 papers) and Advanced Neuroimaging Techniques and Applications (95 papers). Stephen M. Lawrie is often cited by papers focused on Schizophrenia research and treatment (182 papers), Functional Brain Connectivity Studies (150 papers) and Advanced Neuroimaging Techniques and Applications (95 papers). Stephen M. Lawrie collaborates with scholars based in United Kingdom, United States and Germany. Stephen M. Lawrie's co-authors include Andrew M. McIntosh, Eve C. Johnstone, Heather C. Whalley, Jérémy Hall, Dominic Job, Suheib S. Abukmeil, David G. C. Owens, T. William J. Moorhead, E.C. Johnstone and Andrew C. Stanfield and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Stephen M. Lawrie

400 papers receiving 20.8k citations

Hit Papers

5 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.

Brain abnormality in schizophrenia

1998 630 citations Stephen M. Lawrie et al. profile →
Functional Specialization within Rostral Prefrontal Cortex (Area 10): A Meta-analysis

2006 578 citations J. Douglas Steele, Stephen M. Lawrie et al. profile →
The Predictive Coding Account of Psychosis

2018 484 citations Stephen M. Lawrie et al. Biological Psychiatry profile →
Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants

2018 483 citations Simon R. Cox, Xueyi Shen et al. profile →
Transdiagnostic psychiatry: a systematic review

2019 250 citations Paolo Fusar‐Poli, Stephen M. Lawrie et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen M. Lawrie United Kingdom	76	10.3k	10.1k	4.7k	2.8k	2.5k	410	21.4k
Robert M. Bilder United States	73	9.7k 0.9×	10.1k 1.0×	3.6k 0.8×	3.4k 1.2×	1.0k 0.4×	253	21.0k
David C. Glahn United States	74	16.6k 1.6×	8.3k 0.8×	5.8k 1.2×	2.3k 0.8×	2.0k 0.8×	299	25.5k
Stephan Arndt United States	84	7.5k 0.7×	9.0k 0.9×	2.5k 0.5×	5.0k 1.8×	1.6k 0.6×	354	22.2k
Peter Falkai Germany	82	8.6k 0.8×	9.0k 0.9×	2.6k 0.6×	3.8k 1.4×	1.5k 0.6×	725	26.1k
John A. Sweeney United States	97	18.4k 1.8×	14.0k 1.4×	5.4k 1.1×	5.0k 1.8×	3.2k 1.3×	613	33.5k
Daniel H. Mathalon United States	75	13.4k 1.3×	7.1k 0.7×	3.6k 0.8×	2.2k 0.8×	676 0.3×	430	21.8k
Tyrone D. Cannon United States	89	9.5k 0.9×	15.5k 1.5×	3.5k 0.8×	5.6k 2.0×	3.7k 1.5×	479	30.2k
Monte S. Buchsbaum United States	91	12.8k 1.2×	8.0k 0.8×	5.2k 1.1×	3.9k 1.4×	1.2k 0.5×	377	24.9k
Oliver Howes United Kingdom	85	7.5k 0.7×	11.8k 1.2×	2.9k 0.6×	3.4k 1.2×	1.5k 0.6×	435	27.7k
Anil K. Malhotra United States	75	5.4k 0.5×	8.1k 0.8×	2.3k 0.5×	2.4k 0.8×	2.8k 1.1×	584	21.9k

Countries citing papers authored by Stephen M. Lawrie

Since Specialization

Citations

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

Fields of papers citing papers by Stephen M. Lawrie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen M. Lawrie

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

All Works

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20 of 20 papers shown

Tognin, Stefania, Sandra Vieira, Dominic Oliver, et al.. (2025). PSYSCAN multi-centre study: baseline characteristics and clinical outcomes of the clinical high risk for psychosis sample. Schizophrenia. 11(1). 66–66. 3 indexed citations

Whalley, Heather C., et al.. (2025). Socioeconomic status and depression—a systematic review. Epidemiologic Reviews. 47(1). 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.

Lalousis, Paris Alexandros, Lianne Schmaal, Stephen J. Wood, et al.. (2023). Inflammatory subgroups of schizophrenia and their association with brain structure: A semi-supervised machine learning examination of heterogeneity. Brain Behavior and Immunity. 113. 166–175. 16 indexed citations

Shen, Xueyi, Claire Green, Robert F. Hillary, et al.. (2023). Structural brain correlates of childhood trauma with replication across two large, independent community-based samples. European Psychiatry. 66(1). e19–e19. 9 indexed citations

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

Shen, Xueyi, Amelia Edmondson-Stait, Claire Green, et al.. (2021). Associations between major psychiatric disorder polygenic risk scores and blood-based markers in UK biobank. Brain Behavior and Immunity. 97. 32–41. 17 indexed citations

Hillary, Robert F., et al.. (2021). The neuropathology of autism: A systematic review of post-mortem studies of autism and related disorders. Neuroscience & Biobehavioral Reviews. 129. 35–62. 84 indexed citations

Hawkins, Emma L., Denis O’Hora, Heather C. Whalley, et al.. (2020). Are working memory and glutamate concentrations involved in early‐life stress and severity of psychosis?. Brain and Behavior. 10(6). e01616–e01616. 7 indexed citations

10.

Valton, Vincent, et al.. (2019). Acquisition of visual priors and induced hallucinations in chronic schizophrenia. Brain. 142(8). 2523–2537. 25 indexed citations

11.

Hawkins, Emma L., Roxanne D. Hawkins, Martin Dennis, Joanne M. Williams, & Stephen M. Lawrie. (2019). Animal-assisted therapy for schizophrenia and related disorders: A systematic review. Journal of Psychiatric Research. 115. 51–60. 19 indexed citations

12.

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

13.

Lawrie, Stephen M., et al.. (2016). Use of novel psychoactive substances by inpatients on general adult psychiatric wards. BMJ Open. 6(5). e009430–e009430. 30 indexed citations

14.

Chan, Stella W. Y., Jessika E. Sussmann, Liana Romaniuk, et al.. (2016). Deactivation in anterior cingulate cortex during facial processing in young individuals with high familial risk and early development of depression: f MRI findings from the Scottish Bipolar Family Study. Journal of Child Psychology and Psychiatry. 57(11). 1277–1286. 21 indexed citations

15.

Papmeyer, Martina, et al.. (2014). Cortical Thickness in Individuals at High Familial Risk of Mood Disorders as They Develop Major Depressive Disorder. Biological Psychiatry. 78(1). 58–66. 89 indexed citations

16.

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

17.

Whalley, Heather C., Ben Pickard, Andrew M. McIntosh, et al.. (2009). Modulation of hippocampal activation by genetic variation in the GRIK4 gene. Molecular Psychiatry. 14(5). 465–465. 4 indexed citations

18.

Steele, J. Douglas, James Currie, Stephen M. Lawrie, & Ian Reid. (2006). Prefrontal cortical functional abnormality in major depressive disorder: A stereotactic meta-analysis. Journal of Affective Disorders. 101(1-3). 1–11. 70 indexed citations

19.

Spencer, Michael D., T. William J. Moorhead, G. Katherine S. Lymer, et al.. (2006). Structural correlates of intellectual impairment and autistic features in adolescents. NeuroImage. 33(4). 1136–1144. 44 indexed citations

20.

Lawrie, Stephen M., Michael Sharpe, & Eve C. Johnstone. (2000). MCQs for the companion to psychiatric studies. Churchill Livingstone eBooks. 1 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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