Andrew Brown

26.2k total citations
49 papers, 2.4k citations indexed

About

Andrew Brown is a scholar working on Genetics, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Andrew Brown has authored 49 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 24 papers in Molecular Biology and 4 papers in Psychiatry and Mental health. Recurrent topics in Andrew Brown's work include Genetic Associations and Epidemiology (17 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Gene expression and cancer classification (9 papers). Andrew Brown is often cited by papers focused on Genetic Associations and Epidemiology (17 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Gene expression and cancer classification (9 papers). Andrew Brown collaborates with scholars based in United Kingdom, United States and Norway. Andrew Brown's co-authors include Emmanouil T. Dermitzakis, Olivier Delaneau, Halit Ongen, Alfonso Buil, Richard O. Hynes, Denisa D. Wagner, Paul S. Frenette, Zhao Dong, Nikolaos I. Panousis and Barbara E. Engelhardt and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Andrew Brown

46 papers receiving 2.4k citations

Peers

Andrew Brown
Andrew Brown
Citations per year, relative to Andrew Brown Andrew Brown (= 1×) peers Anne‐Françoise Roux

Countries citing papers authored by Andrew Brown

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Brown. A scholar is included among the top collaborators of Andrew Brown 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 Brown. Andrew Brown 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.
Dilmé, Jaume, David Davtian, Andrew Brown, et al.. (2024). Differential Expression Analyses on Human Aortic Tissue Reveal Novel Genes and Pathways Associated With Abdominal Aortic Aneurysm Onset and Progression. Journal of the American Heart Association. 13(24). e036082–e036082. 1 indexed citations
2.
Burton, Elizabeth A., Chun-Hung Su, Elisabetta Manduchi, et al.. (2024). Variant‐to‐function mapping of late‐onset Alzheimer’s disease GWAS loci in human microglial models implicates RTFDC1 as an effector gene at the CASS4 locus. Alzheimer s & Dementia. 20(S1). e089683–e089683.
3.
Zhang, Xiayin, Yu Huang, Shunming Liu, et al.. (2024). Evaluation of the Observational Associations and Shared Genetics Between Glaucoma With Depression and Anxiety. Investigative Ophthalmology & Visual Science. 65(3). 12–12. 6 indexed citations
4.
Garcia‐Martínez, Iris, Sònia López, Ángel Martínez-Pérez, et al.. (2023). Multiallelic Copy Number Variation in ORM1 is Associated with Plasma Cell-Free DNA Levels as an Intermediate Phenotype for Venous Thromboembolism. Thrombosis and Haemostasis. 123(4). 438–452.
5.
Bettella, Francesco, Andrew Brown, Olav B. Smeland, et al.. (2018). Cross-tissue eQTL enrichment of associations in schizophrenia. PLoS ONE. 13(9). e0202812–e0202812. 2 indexed citations
6.
Kalita, Cynthia A., Gregory A. Moyerbrailean, Andrew Brown, et al.. (2017). QuASAR-MPRA: accurate allele-specific analysis for massively parallel reporter assays. Bioinformatics. 34(5). 787–794. 18 indexed citations
7.
Mohammadi, Pejman, Stephane E. Castel, Andrew Brown, & Tuuli Lappalainen. (2017). Quantifying the regulatory effect size of cis -acting genetic variation using allelic fold change. Genome Research. 27(11). 1872–1884. 74 indexed citations
8.
Bryois, Julien, Alfonso Buil, Pedro G. Ferreira, et al.. (2017). Time-dependent genetic effects on gene expression implicate aging processes. Genome Research. 27(4). 545–552. 26 indexed citations
9.
Gao, Chuan, Ian C. McDowell, Shiwen Zhao, Andrew Brown, & Barbara E. Engelhardt. (2016). Context Specific and Differential Gene Co-expression Networks via Bayesian Biclustering. PLoS Computational Biology. 12(7). e1004791–e1004791. 34 indexed citations
10.
Brown, Andrew, Zhihao Ding, Ana Viñuela, et al.. (2015). Pathway-Based Factor Analysis of Gene Expression Data Produces Highly Heritable Phenotypes That Associate with Age. G3 Genes Genomes Genetics. 5(5). 839–847. 7 indexed citations
11.
Ongen, Halit, Alfonso Buil, Andrew Brown, Emmanouil T. Dermitzakis, & Olivier Delaneau. (2015). Fast and efficient QTL mapper for thousands of molecular phenotypes. Bioinformatics. 32(10). 1479–1485. 255 indexed citations
12.
Tesli, Martin, Kristina C. Skåtun, Olga Therese Ousdal, et al.. (2013). Correction: CACNA1C Risk Variant and Amygdala Activity in Bipolar Disorder, Schizophrenia and Healthy Controls. PLoS ONE. 8(11). 10 indexed citations
13.
Brown, Andrew, Lara M. Mangravite, & Barbara E. Engelhardt. (2013). Integrative Modeling of eQTLs and Cis-Regulatory Elements Suggests Mechanisms Underlying Cell Type Specificity of eQTLs. PLoS Genetics. 9(8). e1003649–e1003649. 107 indexed citations
14.
Tesli, Martin, Kristina C. Skåtun, Olga Therese Ousdal, et al.. (2013). CACNA1C Risk Variant and Amygdala Activity in Bipolar Disorder, Schizophrenia and Healthy Controls. PLoS ONE. 8(2). e56970–e56970. 55 indexed citations
15.
Brown, Andrew, Jimmy Jensen, Yuliya S. Nikolova, et al.. (2012). Genetic variants affecting the neural processing of human facial expressions: evidence using a genome-wide functional imaging approach. Translational Psychiatry. 2(7). e143–e143. 11 indexed citations
16.
Kähler, Anna K., Lars M. Rimol, Andrew Brown, et al.. (2012). Effect of DISC1 SNPs on brain structure in healthy controls and patients with a history of psychosis. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 159B(6). 722–730. 13 indexed citations
17.
Sønderby, Ida E., Unn K. Haukvik, Morten Mattingsdal, et al.. (2012). TCF4 sequence variants and mRNA levels are associated with neurodevelopmental characteristics in psychotic disorders. Translational Psychiatry. 2(5). e112–e112. 56 indexed citations
18.
Brown, Andrew, Sylvia Richardson, & John C. Whittaker. (2011). Application of the Lasso to Expression Quantitative Trait Loci Mapping. Statistical Applications in Genetics and Molecular Biology. 10(1). 2 indexed citations
19.
Cooper, Gregory M. & Andrew Brown. (2008). Qualifying the relationship between sequence conservation and molecular function. Genome Research. 18(2). 201–205. 81 indexed citations
20.
Dong, Zhao, et al.. (1998). The combined role of P- and E-selectins in atherosclerosis.. Journal of Clinical Investigation. 102(1). 145–152. 339 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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