Nicholas J. Bray

8.0k total citations
62 papers, 3.5k citations indexed

About

Nicholas J. Bray is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nicholas J. Bray has authored 62 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 39 papers in Genetics and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nicholas J. Bray's work include Genetic Associations and Epidemiology (28 papers), Genetics and Neurodevelopmental Disorders (16 papers) and Epigenetics and DNA Methylation (10 papers). Nicholas J. Bray is often cited by papers focused on Genetic Associations and Epidemiology (28 papers), Genetics and Neurodevelopmental Disorders (16 papers) and Epigenetics and DNA Methylation (10 papers). Nicholas J. Bray collaborates with scholars based in United Kingdom, United States and Australia. Nicholas J. Bray's co-authors include Michael O’Donovan, Michael J. Owen, Paul R. Buckland, Lior Pachter, Inna Dubchak, Jonathan Mill, Nigel Williams, Eilís Hannon, Matthew Hill and Leonard C. Schalkwyk and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Nicholas J. Bray

60 papers receiving 3.4k citations

Peers

Nicholas J. Bray
Jonathan L. Haines United States
Nadine Norton United Kingdom
Dalila Pinto United States
Judith A. Badner United States
Pippa A. Thomson United Kingdom
Hyejung Won United States
Tracey L. Petryshen United States
Nicholas J. Bray
Citations per year, relative to Nicholas J. Bray Nicholas J. Bray (= 1×) peers Miki Bundo

Countries citing papers authored by Nicholas J. Bray

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas J. Bray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas J. Bray

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

All Works

20 of 20 papers shown
1.
Richards, Alexander, Nicholas E. Clifton, Darren Cameron, et al.. (2025). Effects of Shared and Nonshared Schizophrenia and Bipolar Disorder Alleles on Cognition and Educational Attainment in the UK Biobank. Biological Psychiatry Global Open Science. 5(6). 100601–100601.
2.
Owen, Michael J., Nicholas J. Bray, James Walters, & Michael O’Donovan. (2025). Genomics of schizophrenia, bipolar disorder and major depressive disorder. Nature Reviews Genetics. 26(12). 862–877. 3 indexed citations
3.
Holmans, Peter, Darren Cameron, Detelina Grozeva, et al.. (2025). Whole-exome sequencing analysis identifies risk genes for schizophrenia. Nature Communications. 16(1). 7102–7102. 2 indexed citations
4.
Cameron, Darren, Elizabeth A. Perry, James Walters, et al.. (2024). Genetic Implication of Prenatal GABAergic and Cholinergic Neuron Development in Susceptibility to Schizophrenia. Schizophrenia Bulletin. 50(5). 1171–1184. 3 indexed citations
5.
Holmans, Peter, et al.. (2024). Genetic Implication of Specific Glutamatergic Neurons of the Prefrontal Cortex in the Pathophysiology of Schizophrenia. SHILAP Revista de lepidopterología. 4(5). 100345–100345. 1 indexed citations
6.
Mertz, Tony M., Ly Thi Huong Nguyen, Nicholas J. Bray, et al.. (2023). Genetic inhibitors of APOBEC3B-induced mutagenesis. Genome Research. 33(9). 1568–1581. 6 indexed citations
7.
8.
Cameron, Darren, Da Mi, Caleb Webber, et al.. (2022). Single-Nuclei RNA Sequencing of 5 Regions of the Human Prenatal Brain Implicates Developing Neuron Populations in Genetic Risk for Schizophrenia. Biological Psychiatry. 93(2). 157–166. 19 indexed citations
9.
Cameron, Darren, Eilís Hannon, Emma Dempster, et al.. (2021). Sites of active gene regulation in the prenatal frontal cortex and their role in neuropsychiatric disorders. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 186(6). 376–388. 7 indexed citations
10.
Leung, Szi Kay, Aaron R. Jeffries, Isabel Castanho, et al.. (2021). Full-length transcript sequencing of human and mouse cerebral cortex identifies widespread isoform diversity and alternative splicing. Cell Reports. 37(7). 110022–110022. 84 indexed citations
11.
Hrastelj, James, Robert Andrews, Samantha Loveless, et al.. (2021). CSF-resident CD4+ T-cells display a distinct gene expression profile with relevance to immune surveillance and multiple sclerosis. Brain Communications. 3(3). fcab155–fcab155. 11 indexed citations
12.
Hall, Jérémy & Nicholas J. Bray. (2021). Schizophrenia Genomics: Convergence on Synaptic Development, Adult Synaptic Plasticity, or Both?. Biological Psychiatry. 91(8). 709–717. 49 indexed citations
13.
Pardiñas, Antonio F., Sophie E. Legge, Matthew Bracher‐Smith, et al.. (2020). Polygenic risk for schizophrenia and subcortical brain anatomy in the UK Biobank cohort. Translational Psychiatry. 10(1). 309–309. 18 indexed citations
14.
Hall, Lynsey S., Oliver Pain, Antonio F. Pardiñas, et al.. (2019). A transcriptome-wide association study implicates specific pre- and post-synaptic abnormalities in schizophrenia. Human Molecular Genetics. 29(1). 159–167. 43 indexed citations
15.
Pain, Oliver, Andrew Pocklington, Peter Holmans, et al.. (2019). Novel Insight Into the Etiology of Autism Spectrum Disorder Gained by Integrating Expression Data With Genome-wide Association Statistics. Biological Psychiatry. 86(4). 265–273. 49 indexed citations
16.
O’Brien, Heath, Eilís Hannon, Matthew Hill, et al.. (2018). Expression quantitative trait loci in the developing human brain and their enrichment in neuropsychiatric disorders. Genome biology. 19(1). 194–194. 84 indexed citations
17.
Hannon, Eilís, Michael N. Weedon, Nicholas J. Bray, Michael O’Donovan, & Jonathan Mill. (2017). Pleiotropic Effects of Trait-Associated Genetic Variation on DNA Methylation: Utility for Refining GWAS Loci. The American Journal of Human Genetics. 100(6). 954–959. 52 indexed citations
18.
Bray, Nicholas J., Luke Jehu, Valentina Moskvina, et al.. (2004). Allelic expression of APOE in human brain: effects of epsilon status and promoter haplotypes. Human Molecular Genetics. 13(22). 2885–2892. 34 indexed citations
19.
Bray, Nicholas J. & Michael J. Owen. (2001). Searching for schizophrenia genes. Trends in Molecular Medicine. 7(4). 169–174. 43 indexed citations
20.
Austin, Jehannine, Paul R. Buckland, A.G. Cardno, et al.. (2000). The high affinity neurotensin receptor gene (NTSR1): comparative sequencing and association studies in schizophrenia. Molecular Psychiatry. 5(5). 552–557. 22 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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