Jude Gibson

8.1k total citations · 1 hit paper
20 papers, 1.2k citations indexed

About

Jude Gibson is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Jude Gibson has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 7 papers in Molecular Biology and 7 papers in Cognitive Neuroscience. Recurrent topics in Jude Gibson's work include Genetic Associations and Epidemiology (7 papers), Epigenetics and DNA Methylation (7 papers) and Functional Brain Connectivity Studies (7 papers). Jude Gibson is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Epigenetics and DNA Methylation (7 papers) and Functional Brain Connectivity Studies (7 papers). Jude Gibson collaborates with scholars based in United Kingdom, United States and Australia. Jude Gibson's co-authors include Ian J. Deary, Riccardo E. Marioni, Simon R. Cox, Lee Murphy, Allan F. McRae, John M. Starr, Sonia Shah, Naomi R. Wray, Sarah E. Harris and Peter M. Visscher and has published in prestigious journals such as Scientific Reports, Biological Psychiatry and Genome Research.

In The Last Decade

Jude Gibson

20 papers receiving 1.2k 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.

The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936

2015 397 citations Riccardo E. Marioni, Sonia Shah et al. International Journal of Epidemiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jude Gibson United Kingdom	16	672	352	236	183	153	20	1.2k
Jenny van Dongen Netherlands	21	642 1.0×	511 1.5×	307 1.3×	144 0.8×	139 0.9×	66	1.6k
Darina Czamara Germany	32	725 1.1×	441 1.3×	524 2.2×	95 0.5×	199 1.3×	93	2.3k
Timothy Shin Heng Mak Hong Kong	13	375 0.6×	784 2.2×	93 0.4×	123 0.7×	106 0.7×	22	1.7k
Melanie E. Garrett United States	25	660 1.0×	212 0.6×	315 1.3×	226 1.2×	169 1.1×	93	2.5k
Kunio Miyake Japan	20	564 0.8×	291 0.8×	178 0.8×	133 0.7×	170 1.1×	87	1.3k
Shing Wan Choi United Kingdom	15	644 1.0×	1.3k 3.6×	181 0.8×	198 1.1×	213 1.4×	24	2.6k
Oliver Lyttleton United Kingdom	10	973 1.4×	291 0.8×	733 3.1×	152 0.8×	100 0.7×	16	1.5k
Rosie M. Walker United Kingdom	21	878 1.3×	286 0.8×	259 1.1×	164 0.9×	40 0.3×	59	1.4k
Jonas Bybjerg‐Grauholm Denmark	21	388 0.6×	565 1.6×	168 0.7×	74 0.4×	207 1.4×	68	1.4k
John P. Kemp United Kingdom	26	592 0.9×	871 2.5×	164 0.7×	178 1.0×	165 1.1×	47	2.0k

Countries citing papers authored by Jude Gibson

Since Specialization

Citations

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

Fields of papers citing papers by Jude Gibson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jude Gibson

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

Alloza, Clara, Manuel Blesa, Mark E. Bastin, et al.. (2020). Psychotic-like experiences, polygenic risk scores for schizophrenia, and structural properties of the salience, default mode, and central-executive networks in healthy participants from UK Biobank. Translational Psychiatry. 10(1). 122–122. 16 indexed citations

Harris, Mathew A., Xueyi Shen, Simon R. Cox, et al.. (2019). Stratifying major depressive disorder by polygenic risk for schizophrenia in relation to structural brain measures. Psychological Medicine. 50(10). 1653–1662. 10 indexed citations

Gibson, Jude, Tom C. Russ, Toni‐Kim Clarke, et al.. (2019). A meta-analysis of genome-wide association studies of epigenetic age acceleration. PLoS Genetics. 15(11). e1008104–e1008104. 74 indexed citations

Neilson, Emma, Xueyi Shen, Simon R. Cox, et al.. (2019). Impact of Polygenic Risk for Schizophrenia on Cortical Structure in UK Biobank. Biological Psychiatry. 86(7). 536–544. 44 indexed citations

Frangou, Sophia, Masoud Shirali, Mark J. Adams, et al.. (2019). Insulin resistance: Genetic associations with depression and cognition in population based cohorts. Experimental Neurology. 316. 20–26. 15 indexed citations

Howard, David M., Mark J. Adams, Jonathan D. Hafferty, et al.. (2019). THE IDENTIFICATION OF HETEROGENEOUS GENETIC SUBGROUPS FOR MAJOR DEPRESSIVE DISORDER. European Neuropsychopharmacology. 29. S846–S846. 1 indexed citations

Hall, Lynsey S., Mark J. Adams, Aleix Arnau‐Soler, et al.. (2018). Genome-wide meta-analyses of stratified depression in Generation Scotland and UK Biobank. Translational Psychiatry. 8(1). 9–9. 53 indexed citations

McRae, Allan F., Riccardo E. Marioni, Sonia Shah, et al.. (2018). Identification of 55,000 Replicated DNA Methylation QTL. Scientific Reports. 8(1). 17605–17605. 179 indexed citations

McCartney, Daniel L., Anna J. Stevenson, Rosie M. Walker, et al.. (2018). Investigating the relationship between DNA methylation age acceleration and risk factors for Alzheimer's disease. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 10(1). 429–437. 93 indexed citations

10.

Whalley, Heather C., Mathew A. Harris, Xueyi Shen, et al.. (2018). S130. Dissecting the Neuroimaging Phenotype of Major Depressive Disorder Based on Genetic Loading for Schizophrenia. Biological Psychiatry. 83(9). S398–S398. 1 indexed citations

11.

Gibson, Jude, Tom C. Russ, Mark J. Adams, et al.. (2017). Assessing the presence of shared genetic architecture between Alzheimer’s disease and major depressive disorder using genome-wide association data. Translational Psychiatry. 7(4). e1094–e1094. 31 indexed citations

12.

Wigmore, Eleanor M., Toni‐Kim Clarke, David M. Howard, et al.. (2017). Do regional brain volumes and major depressive disorder share genetic architecture? A study of Generation Scotland (n=19 762), UK Biobank (n=24 048) and the English Longitudinal Study of Ageing (n=5766). Translational Psychiatry. 7(8). e1205–e1205. 17 indexed citations

13.

Reus, Lianne M., Xueyi Shen, Jude Gibson, et al.. (2017). Association of polygenic risk for major psychiatric illness with subcortical volumes and white matter integrity in UK Biobank. Scientific Reports. 7(1). 42140–42140. 55 indexed citations

14.

Alloza, Clara, Mark E. Bastin, Simon R. Cox, et al.. (2017). Central and non‐central networks, cognition, clinical symptoms, and polygenic risk scores in schizophrenia. Human Brain Mapping. 38(12). 5919–5930. 20 indexed citations

15.

Crescenzo, Franco De, et al.. (2017). Melatonin as a treatment for mood disorders: a systematic review. Acta Psychiatrica Scandinavica. 136(6). 549–558. 43 indexed citations

16.

Whalley, Heather C., Mark J. Adams, Lynsey S. Hall, et al.. (2016). Dissection of major depressive disorder using polygenic risk scores for schizophrenia in two independent cohorts. Translational Psychiatry. 6(11). e938–e938. 15 indexed citations

17.

Neilson, Emma, Catherine Bois, Jude Gibson, et al.. (2016). Effects of environmental risks and polygenic loading for schizophrenia on cortical thickness. Schizophrenia Research. 184. 128–136. 36 indexed citations

18.

Marioni, Riccardo E., Sonia Shah, Allan F. McRae, et al.. (2015). The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936. International Journal of Epidemiology. 44(4). 1388–1396. 397 indexed citations breakdown →

19.

Shah, Sonia, Allan F. McRae, Riccardo E. Marioni, et al.. (2014). Genetic and environmental exposures constrain epigenetic drift over the human life course. Genome Research. 24(11). 1725–1733. 99 indexed citations

20.

Gibson, Jude, et al.. (2009). Group Cognitive Behaviour Therapy for Depression - Does it Help Bipolar Patients Too?. European Psychiatry. 24(S1). 3 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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