Andrew Pocklington

23.3k total citations · 1 hit paper
30 papers, 1.4k citations indexed

About

Andrew Pocklington is a scholar working on Genetics, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Andrew Pocklington has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 11 papers in Molecular Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Andrew Pocklington's work include Genetic Associations and Epidemiology (11 papers), Genetics and Neurodevelopmental Disorders (9 papers) and Genomic variations and chromosomal abnormalities (8 papers). Andrew Pocklington is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Genetics and Neurodevelopmental Disorders (9 papers) and Genomic variations and chromosomal abnormalities (8 papers). Andrew Pocklington collaborates with scholars based in United Kingdom, United States and Netherlands. Andrew Pocklington's co-authors include Michael O’Donovan, Michael J. Owen, Seth G. N. Grant, Peter Holmans, J. Douglas Armstrong, James Walters, Elliott Rees, Mike D. R. Croning, Mark O. Collins and Jyoti S. Choudhary and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Andrew Pocklington

30 papers receiving 1.4k citations

Hit 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.

Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes

2019 228 citations Sarah E. Morgan, Jakob Seidlitz et al. Proceedings of the National Academy of Sciences profile →

Peers

Andrew Pocklington

GENET

CMN

PMH

William Hennah Finland

Ding‐Lieh Liao Taiwan

Just Genius Germany

Charles A. Kaufmann United States

Saurav Seshadri United States

Shreejoy J. Tripathy Canada

Elena Shumay United States

Matthew L. MacDonald United States

Nirmala Akula United States

Thomas Bettecken Germany

William Hennah Finland

Andrew Pocklington

1.2k ×2.1

714 ×1.5

GENET

302 ×0.7

324 ×1.1

CMN

368 ×1.9

PMH

Citations per year, relative to Andrew Pocklington Andrew Pocklington (= 1×) peers William Hennah

Countries citing papers authored by Andrew Pocklington

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Pocklington

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Pocklington

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

Andrews, Robert, Jérémy Hall, Michael J. Owen, et al.. (2024). Impaired oxysterol-liver X receptor signaling underlies aberrant cortical neurogenesis in a stem cell model of neurodevelopmental disorder. Cell Reports. 43(3). 113946–113946. 3 indexed citations

D’Andrea, Daniel, Mark O. Collins, Elliott Rees, et al.. (2022). Transcriptional programs regulating neuronal differentiation are disrupted in DLG2 knockout human embryonic stem cells and enriched for schizophrenia and related disorders risk variants. Nature Communications. 13(1). 27–27. 13 indexed citations

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

Clifton, Nicholas E., Elliott Rees, Peter Holmans, et al.. (2020). Genetic association of FMRP targets with psychiatric disorders. Molecular Psychiatry. 26(7). 2977–2990. 20 indexed citations

Hubbard, Leon, Elliott Rees, Derek W. Morris, et al.. (2020). Rare Copy Number Variants Are Associated With Poorer Cognition in Schizophrenia. Biological Psychiatry. 90(1). 28–34. 19 indexed citations

Morgan, Sarah E., Jakob Seidlitz, Kirstie Whitaker, et al.. (2019). Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes. Proceedings of the National Academy of Sciences. 116(19). 9604–9609. 228 indexed citations breakdown →

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

Clifton, Nicholas E., Eilís Hannon, Janet Harwood, et al.. (2019). Dynamic expression of genes associated with schizophrenia and bipolar disorder across development. Translational Psychiatry. 9(1). 74–74. 27 indexed citations

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

10.

Pardiñas, Antonio F., Andrew Pocklington, Sophie E. Legge, et al.. (2019). Pharmacogenomic Variants and Drug Interactions Identified Through the Genetic Analysis of Clozapine Metabolism. American Journal of Psychiatry. 176(6). 477–486. 49 indexed citations

11.

Lancaster, T., Katherine E. Tansey, Gavin Perry, et al.. (2018). Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype–Based Approach. Schizophrenia Bulletin. 45(2). 405–414. 22 indexed citations

12.

Leonenko, Ganna, Alexander Richards, James Walters, et al.. (2017). Mutation intolerant genes and targets of FMRP are enriched for nonsynonymous alleles in schizophrenia. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 174(7). 724–731. 16 indexed citations

13.

Clifton, Nicholas E., Andrew Pocklington, Birger Scholz, et al.. (2016). Schizophrenia copy number variants and associative learning. Molecular Psychiatry. 22(2). 178–182. 16 indexed citations

14.

Richards, Alexander, Ganna Leonenko, James Walters, et al.. (2016). Exome arrays capture polygenic rare variant contributions to schizophrenia. Human Molecular Genetics. 25(5). 1001–1007. 35 indexed citations

15.

Pocklington, Andrew, Elliott Rees, James Walters, et al.. (2015). Novel Findings from CNVs Implicate Inhibitory and Excitatory Signaling Complexes in Schizophrenia. Neuron. 86(5). 1203–1214. 126 indexed citations

16.

Martin, Joanna, Miriam Cooper, Marian L. Hamshere, et al.. (2014). Biological Overlap of Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder: Evidence From Copy Number Variants. Journal of the American Academy of Child & Adolescent Psychiatry. 53(7). 761–770.e26. 80 indexed citations

17.

Emes, Richard D., Andrew Pocklington, Christopher N. Anderson, et al.. (2008). Evolutionary expansion and anatomical specialization of synapse proteome complexity. Nature Neuroscience. 11(7). 799–806. 145 indexed citations

18.

Armstrong, J. Douglas, et al.. (2006). Reconstructing protein complexes: From proteomics to systems biology. PROTEOMICS. 6(17). 4724–4731. 16 indexed citations

19.

Pocklington, Andrew. (2006). Organization of brain complexity--synapse proteome form and function. Briefings in Functional Genomics and Proteomics. 5(1). 66–73. 24 indexed citations

20.

Tateo, Roberto, et al.. (2000). Finite size effects in perturbed boundary conformal field theories. 35–35. 5 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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