Andrew J. Lawrence

6.8k total citations · 1 hit paper
123 papers, 5.1k citations indexed

About

Andrew J. Lawrence is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, Andrew J. Lawrence has authored 123 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cellular and Molecular Neuroscience, 24 papers in Psychiatry and Mental health and 21 papers in Cognitive Neuroscience. Recurrent topics in Andrew J. Lawrence's work include Neurotransmitter Receptor Influence on Behavior (23 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and Neuroscience and Neuropharmacology Research (15 papers). Andrew J. Lawrence is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (23 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and Neuroscience and Neuropharmacology Research (15 papers). Andrew J. Lawrence collaborates with scholars based in United Kingdom, Australia and United States. Andrew J. Lawrence's co-authors include Luke Clark, Antonio Verdejo‐García, Hugh S. Markus, Thomas R. Barrick, Robin G. Morris, Barbara J. Sahakian, Jason Luty, Eva Zeestraten, Michael S. Cowen and Nicola S. Gray and has published in prestigious journals such as Nature, The Lancet and Neuron.

In The Last Decade

Andrew J. Lawrence

114 papers receiving 5.0k 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.

Impulsivity as a vulnerability marker for substance-use disorders: Review of findings from high-risk research, problem gamblers and genetic association studies

2008 1.1k citations Andrew J. Lawrence 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 J. Lawrence United Kingdom	38	1.4k	1.2k	1.0k	927	776	123	5.1k
Jonathan Savitz United States	48	1.1k 0.8×	1.9k 1.6×	874 0.9×	2.2k 2.4×	490 0.6×	131	7.5k
Jussi Hirvonen Finland	46	1.7k 1.3×	1.4k 1.2×	730 0.7×	802 0.9×	305 0.4×	187	6.0k
Bryon Adinoff United States	42	1.4k 1.0×	1.1k 1.0×	856 0.8×	731 0.8×	753 1.0×	147	5.0k
James Robert Brašić United States	34	1.5k 1.1×	1.5k 1.3×	834 0.8×	1.1k 1.1×	304 0.4×	165	4.7k
Rodrigo A. Bressan Brazil	47	1.2k 0.9×	1.8k 1.5×	1.8k 1.8×	2.8k 3.0×	398 0.5×	379	7.9k
James B. Lohr United States	50	911 0.7×	1.3k 1.1×	1.2k 1.2×	2.6k 2.8×	585 0.8×	139	7.1k
Michèle Allard France	40	1.3k 0.9×	1.4k 1.2×	770 0.8×	858 0.9×	156 0.2×	132	5.2k
Igor Elman United States	40	1.7k 1.3×	1.8k 1.5×	890 0.9×	1.4k 1.5×	342 0.4×	141	5.7k
Mario Masellis Canada	46	1.1k 0.8×	1.0k 0.9×	660 0.6×	1.9k 2.0×	260 0.3×	184	6.6k
Andrea Parolin Jackowski Brazil	38	550 0.4×	1.3k 1.1×	716 0.7×	794 0.9×	254 0.3×	149	4.1k

Countries citing papers authored by Andrew J. Lawrence

Since Specialization

Citations

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

Fields of papers citing papers by Andrew J. Lawrence

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew J. Lawrence

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

Simonds, Stephanie E., Jack T. Pryor, Brian Lam, et al.. (2025). The metabolic and cardiovascular effects of amphetamine are partially mediated by the central melanocortin system. PubMed. 6(2). 101936–101936.

Biaggi, Alessandra, Katie Hazelgrove, Andrew J. Lawrence, et al.. (2024). Predictors of mother-infant interaction quality in women at risk of postpartum psychosis: The role of emotion recognition. Journal of Affective Disorders. 367. 562–572.

Cattarinussi, Giulia, Giulia Segre, Alessandra Biaggi, et al.. (2024). Neuropsychological performance in women at risk of postpartum depression and postpartum psychosis. Archives of Women s Mental Health. 28(1). 55–65. 2 indexed citations

Lawrence, Andrew J., et al.. (2024). The Dynamic Interplay Between Puberty and Structural Brain Development as a Predictor of Mental Health Difficulties in Adolescence: A Systematic Review. Biological Psychiatry. 96(7). 585–603. 7 indexed citations

Ma, Xuemei, Yifan Xu, Yong Li, et al.. (2024). Association between Higher Intake of Flavonols and Lignans and Better Mood: Evidence from Dietary and Biomarker Evaluation in Healthy Individuals. Molecular Nutrition & Food Research. 68(20). e2400112–e2400112.

Farooq, Saeed, Miriam Hattle, Tom Kingstone, et al.. (2024). Development and initial evaluation of a clinical prediction model for risk of treatment resistance in first-episode psychosis: Schizophrenia Prediction of Resistance to Treatment (SPIRIT). The British Journal of Psychiatry. 225(3). 379–388. 3 indexed citations

Lawrence, Andrew J., Xuemei Ma, Craig Morgan, et al.. (2024). - Sex differences in internalizing symptoms and inflammatory biomarkers in young adolescents. Psychoneuroendocrinology. 160. 106869–106869.

Price, Anthony N., Alena Uus, Andrew J. Lawrence, et al.. (2024). T₁ and T₂ measurements of the neonatal brain at 7 T. Magnetic Resonance in Medicine. 93(5). 2153–2162.

Lawrence, Andrew J., Eline M. Vissia, Ellert R. S. Nijenhuis, et al.. (2023). Identity state‐dependent self‐relevance and emotional intensity ratings of words in dissociative identity disorder: A controlled longitudinal study. Brain and Behavior. 13(10). e3208–e3208. 3 indexed citations

10.

Worker, Amanda, Andrew J. Lawrence, Seyed Mostafa Kia, et al.. (2023). Extreme deviations from the normative model reveal cortical heterogeneity and associations with negative symptom severity in first-episode psychosis from the OPTiMiSE and GAP studies. Translational Psychiatry. 13(1). 373–373. 8 indexed citations

11.

Biaggi, Alessandra, Katie Hazelgrove, Andrew J. Lawrence, et al.. (2023). Mother–infant interaction and infant development in women at risk of postpartum psychosis with and without a postpartum relapse. Psychological Medicine. 54(4). 823–834. 5 indexed citations

12.

Ma, Xuemei, Yong Li, Yifan Xu, et al.. (2022). Plant-based dietary patterns and their association with mood in healthy individuals. Food & Function. 14(5). 2326–2337. 7 indexed citations

13.

Ma, Xuemei, Alessandra Biaggi, Chiara Sacchi, et al.. (2022). Mediators and moderators in the relationship between maternal childhood adversity and children's emotional and behavioural development: a systematic review and meta-analysis. Psychological Medicine. 52(10). 1817–1837. 21 indexed citations

14.

Eshkevari, Ertimiss, et al.. (2022). Group skills training for parents of adolescents with anorexia nervosa: a pilot evaluation. Clinical Psychologist. 26(3). 288–295. 4 indexed citations

15.

Farooq, Saeed, Miriam Hattle, Paola Dazzan, et al.. (2022). Study protocol for the development and internal validation of Schizophrenia Prediction of Resistance to Treatment (SPIRIT): a clinical tool for predicting risk of treatment resistance to antipsychotics in first-episode schizophrenia. BMJ Open. 12(4). e056420–e056420. 6 indexed citations

16.

Sambataro, Fabio, Giulia Cattarinussi, Andrew J. Lawrence, et al.. (2021). Altered dynamics of the prefrontal networks are associated with the risk for postpartum psychosis: a functional magnetic resonance imaging study. Translational Psychiatry. 11(1). 238–238. 11 indexed citations

17.

Taylor, R., Jonathan R. I. Coleman, Andrew J. Lawrence, et al.. (2021). Predicting clinical outcome to specialist multimodal inpatient treatment in patients with treatment resistant depression. Journal of Affective Disorders. 291. 188–197. 9 indexed citations

18.

McDougall, Stuart J., Andrew J. Lawrence, & Robert E. Widdop. (2004). Differential cardiovascular responses to stressors in hypertensive and normotensive rats. Experimental Physiology. 90(1). 141–150. 58 indexed citations

19.

McLean, Karen J., Bevyn Jarrott, & Andrew J. Lawrence. (1999). Hypotension activates neuropeptide Y-containing neurons in the rat medulla oblongata. Neuroscience. 92(4). 1377–1387. 13 indexed citations

20.

McLean, Karen J., Bevyn Jarrott, & Andrew J. Lawrence. (1996). Neuropeptide Y gene expression and receptor autoradiography in hypertensive and normotensive rat brain. Molecular Brain Research. 35(1-2). 249–259. 29 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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