Richard Anney

28.5k total citations · 2 hit papers
69 papers, 3.1k citations indexed

About

Richard Anney is a scholar working on Genetics, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Richard Anney has authored 69 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 26 papers in Cognitive Neuroscience and 19 papers in Molecular Biology. Recurrent topics in Richard Anney's work include Autism Spectrum Disorder Research (23 papers), Genetics and Neurodevelopmental Disorders (18 papers) and Attention Deficit Hyperactivity Disorder (15 papers). Richard Anney is often cited by papers focused on Autism Spectrum Disorder Research (23 papers), Genetics and Neurodevelopmental Disorders (18 papers) and Attention Deficit Hyperactivity Disorder (15 papers). Richard Anney collaborates with scholars based in United Kingdom, Ireland and United States. Richard Anney's co-authors include Michael Gill, Jacob Vorstman, Craig A. Olsson, Jeremy Parr, Daniel Moreno‐De‐Luca, Joachim Hallmayer, John I. Nürnberger, Louise Gallagher, George Patton and Anita Thapar and has published in prestigious journals such as PLoS ONE, Nature Reviews Genetics and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Richard Anney

67 papers receiving 3.0k citations

Hit Papers

Meta-analysis of GWAS of over 16,000 individuals with aut... 2017 2026 2020 2023 2017 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Anney United Kingdom 30 1.2k 996 877 754 635 69 3.1k
Sarah E. Bergen Sweden 28 1.1k 0.9× 493 0.5× 875 1.0× 733 1.0× 431 0.7× 75 3.1k
Mamoru Tochigi Japan 30 637 0.5× 618 0.6× 907 1.0× 404 0.5× 684 1.1× 94 3.0k
Anjené Addington United States 22 797 0.7× 1.2k 1.2× 652 0.7× 1.2k 1.6× 501 0.8× 33 3.0k
Jean Steyaert Belgium 36 813 0.7× 1.9k 1.9× 505 0.6× 730 1.0× 722 1.1× 154 3.4k
Brien P. Riley United States 36 1.7k 1.5× 662 0.7× 1.8k 2.0× 607 0.8× 886 1.4× 112 5.0k
Stéphan Eliez Switzerland 26 983 0.8× 1.4k 1.4× 1.4k 1.6× 648 0.9× 540 0.9× 78 3.5k
Michel Maziade Canada 37 705 0.6× 871 0.9× 534 0.6× 1.5k 2.1× 1.4k 2.2× 118 3.9k
Sarah Curran United Kingdom 31 1.2k 1.0× 1.6k 1.6× 716 0.8× 1.4k 1.9× 428 0.7× 61 3.2k
Nori Takei Japan 29 648 0.6× 1.2k 1.2× 665 0.8× 686 0.9× 505 0.8× 81 3.5k
Raun D. Melmed United States 26 784 0.7× 1.4k 1.4× 389 0.4× 954 1.3× 722 1.1× 40 2.6k

Countries citing papers authored by Richard Anney

Since Specialization
Citations

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

Fields of papers citing papers by Richard Anney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Anney

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Anney. A scholar is included among the top collaborators of Richard Anney 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 Richard Anney. Richard Anney 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
2.
Caseras, Xavier, Antonio F. Pardiñas, Richard Anney, et al.. (2024). Common risk alleles for schizophrenia within the major histocompatibility complex predict white matter microstructure. Translational Psychiatry. 14(1). 194–194. 3 indexed citations
3.
Riglin, Lucy, Joanna Martin, Richard Anney, et al.. (2023). Characterising depression trajectories in young people at high familial risk of depression. Journal of Affective Disorders. 337. 66–74. 7 indexed citations
5.
Martin, Joanna, Sharifah Shameem Agha, Katie Lewis, et al.. (2022). Investigating Direct and Indirect Genetic Effects in Attention-Deficit/Hyperactivity Disorder Using Parent-Offspring Trios. Biological Psychiatry. 93(1). 37–44. 12 indexed citations
6.
Riglin, Lucy, et al.. (2021). Motivation and Cognitive Abilities as Mediators Between Polygenic Scores and Psychopathology in Children. Journal of the American Academy of Child & Adolescent Psychiatry. 61(6). 782–795.e3. 10 indexed citations
7.
8.
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
9.
Anney, Richard, Peter Taylor, Alexander Teumer, et al.. (2020). Effects of Thyroid Status on Regional Brain Volumes: A Diagnostic and Genetic Imaging Study in UK Biobank. The Journal of Clinical Endocrinology & Metabolism. 106(3). 688–696. 19 indexed citations
10.
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
11.
Mothersill, David, Denise Harold, Sinéad Kelly, et al.. (2018). Effects of MiR‐137 genetic risk score on brain volume and cortical measures in patients with schizophrenia and controls. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 177(3). 369–376. 8 indexed citations
12.
Rice, Frances, Lucy Riglin, Anita Thapar, et al.. (2018). Characterizing Developmental Trajectories and the Role of Neuropsychiatric Genetic Risk Variants in Early-Onset Depression. JAMA Psychiatry. 76(3). 306–306. 104 indexed citations
13.
Anney, Richard. (2014). Genetic determinants of common epilepsies: a meta-analysis of genome-wide association studies. The Lancet Neurology. 13(9). 893–903. 175 indexed citations
14.
Nicodemus, Kristin K., April Hargreaves, Derek W. Morris, et al.. (2014). Variability in Working Memory Performance Explained by Epistasis vs Polygenic Scores in theZNF804APathway. JAMA Psychiatry. 71(7). 778–778. 25 indexed citations
15.
Merikangas, Alison, Ricardo Segurado, Elizabeth A. Heron, et al.. (2014). The phenotypic manifestations of rare genic CNVs in autism spectrum disorder. Molecular Psychiatry. 20(11). 1366–1372. 23 indexed citations
16.
Anney, Richard, et al.. (2011). Gene-ontology enrichment analysis in two independent family-based samples highlights biologically plausible processes for autism spectrum disorders. European Journal of Human Genetics. 19(10). 1082–1089. 29 indexed citations
17.
Quinn, Emma M., Matthew Hill, Richard Anney, et al.. (2010). Evidence for cis‐acting regulation of ANK3 and CACNA1C gene expression. Bipolar Disorders. 12(4). 440–445. 25 indexed citations
18.
Hawi, Ziarih, Lindsey Kent, Matthew Hill, et al.. (2009). ADHD and DAT1: Further evidence of paternal over‐transmission of risk alleles and haplotype. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 153B(1). 97–102. 30 indexed citations
20.
Olsson, Craig A., Richard Anney, Susan Forrest, et al.. (2003). Association Between Dependent Smoking and a Polymorphism in the Tyrosine Hydroxylase Gene in a Prospective Population-Based Study of Adolescent Health. Behavior Genetics. 34(1). 85–91. 26 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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