Amy Ferguson

1.8k total citations · 1 hit paper
25 papers, 919 citations indexed

About

Amy Ferguson is a scholar working on Genetics, Epidemiology and Neurology. According to data from OpenAlex, Amy Ferguson has authored 25 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 5 papers in Epidemiology and 4 papers in Neurology. Recurrent topics in Amy Ferguson's work include Genetic Associations and Epidemiology (10 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Cerebrovascular and genetic disorders (4 papers). Amy Ferguson is often cited by papers focused on Genetic Associations and Epidemiology (10 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Cerebrovascular and genetic disorders (4 papers). Amy Ferguson collaborates with scholars based in United Kingdom, Sweden and United States. Amy Ferguson's co-authors include Daniel J. Smıth, Joey Ward, Rona J. Strawbridge, Mark E.S. Bailey, Nicholas Graham, Laura M. Lyall, Breda Cullen, Jill P. Pell, Donald M. Lyall and Daniel Mackay and has published in prestigious journals such as PLoS ONE, Brain and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Amy Ferguson

24 papers receiving 908 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.

Association of disrupted circadian rhythmicity with mood disorders, subjective wellbeing, and cognitive function: a cross-sectional study of 91 105 participants from the UK Biobank

2018 265 citations Laura M. Lyall, Cathy Wyse et al. The Lancet Psychiatry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amy Ferguson United Kingdom	16	214	181	178	154	145	25	919
Laura M. Lyall United Kingdom	17	267 1.2×	163 0.9×	235 1.3×	168 1.1×	141 1.0×	34	978
Antonio Labad Spain	18	184 0.9×	127 0.7×	251 1.4×	191 1.2×	73 0.5×	27	1.1k
Chi‐Fa Hung Taiwan	21	113 0.5×	116 0.6×	325 1.8×	83 0.5×	182 1.3×	67	1.1k
Joaquı́n Valero Spain	14	161 0.8×	129 0.7×	181 1.0×	217 1.4×	81 0.6×	21	863
Teresa Biermann Germany	20	119 0.6×	101 0.6×	168 0.9×	138 0.9×	102 0.7×	50	1.4k
Ida Hageman Denmark	22	254 1.2×	63 0.3×	245 1.4×	289 1.9×	101 0.7×	82	1.3k
Alfonso Gutiérrez‐Zotes Spain	19	225 1.1×	143 0.8×	385 2.2×	234 1.5×	107 0.7×	62	1.3k
Diana Chase United Kingdom	16	138 0.6×	201 1.1×	146 0.8×	49 0.3×	80 0.6×	28	1.1k
Pozi Liu China	17	131 0.6×	67 0.4×	128 0.7×	80 0.5×	122 0.8×	49	896
Christian Kissling Germany	14	127 0.6×	80 0.4×	233 1.3×	76 0.5×	119 0.8×	18	1.2k

Countries citing papers authored by Amy Ferguson

Since Specialization

Citations

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

Fields of papers citing papers by Amy Ferguson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Ferguson

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

Ferguson, Amy, David Henshall, Tim Wilkinson, et al.. (2022). Systematic Review of Cerebral Phenotypes Associated With Monogenic Cerebral Small‐Vessel Disease. Journal of the American Heart Association. 11(12). e025629–e025629. 13 indexed citations

Ferguson, Amy, David Henshall, Bryan R. Conway, et al.. (2022). Frequency and Phenotype Associations of Rare Variants in 5 Monogenic Cerebral Small Vessel Disease Genes in 200,000 UK Biobank Participants. Neurology Genetics. 8(5). e200015–e200015. 7 indexed citations

Rannikmäe, Kristiina, Konrad Rawlik, Amy Ferguson, et al.. (2022). Physician-Confirmed and Administrative Definitions of Stroke in UK Biobank Reflect the Same Underlying Genetic Trait. Frontiers in Neurology. 12. 787107–787107. 2 indexed citations

Ferguson, Amy, Catherine Murray, Peter C. McKeown, et al.. (2022). Can remote sensing enable a Biomass Climate Adaptation Index for agricultural systems?. Frontiers in Climate. 4. 1 indexed citations

Malik, Rainer, Nathalie Beaufort, Benno Gesierich, et al.. (2021). Whole-exome sequencing reveals a role of HTRA1 and EGFL8 in brain white matter hyperintensities. Brain. 144(9). 2670–2682. 16 indexed citations

Zhang, Huayu, Amy Ferguson, Teng Zhang, et al.. (2021). Benchmarking network-based gene prioritization methods for cerebral small vessel disease. Briefings in Bioinformatics. 22(5). 16 indexed citations

Ferguson, Amy, Laura M. Lyall, Joey Ward, et al.. (2020). Association of SBP and BMI with cognitive and structural brain phenotypes in UK Biobank. Journal of Hypertension. 38(12). 2482–2489. 19 indexed citations

Strawbridge, Rona J., Joey Ward, Mark E.S. Bailey, et al.. (2019). Carotid Intima-Media Thickness. Arteriosclerosis Thrombosis and Vascular Biology. 40(2). 446–461. 21 indexed citations

Strawbridge, Rona J., Joey Ward, Amy Ferguson, et al.. (2019). Identification of novel genome-wide associations for suicidality in UK Biobank, genetic correlation with psychiatric disorders and polygenic association with completed suicide. EBioMedicine. 41. 517–525. 66 indexed citations

10.

Ward, Joey, Elizabeth M. Tunbridge, Cynthia Sandor, et al.. (2019). The genomic basis of mood instability: identification of 46 loci in 363,705 UK Biobank participants, genetic correlation with psychiatric disorders, and association with gene expression and function. Molecular Psychiatry. 25(11). 3091–3099. 33 indexed citations

11.

Johnston, Keira J.A., Mark J. Adams, Barbara I. Nicholl, et al.. (2019). Genome-wide association study of multisite chronic pain in UK Biobank. PLoS Genetics. 15(6). e1008164–e1008164. 143 indexed citations

12.

Ward, Joey, Laura M. Lyall, Richard A. I. Bethlehem, et al.. (2019). Novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure. Translational Psychiatry. 9(1). 327–327. 52 indexed citations

13.

Strawbridge, Rona J., Joey Ward, Breda Cullen, et al.. (2019). GENOME-WIDE ANALYSIS OF RISK-TAKING BEHAVIOUR IN 116 255 INDIVIDUALS FROM THE UK BIOBANK COHORT AND CROSS-DISORDER GENETIC CORRELATIONS. European Neuropsychopharmacology. 29. S981–S982. 1 indexed citations

14.

Lyall, Laura M., Cathy Wyse, Carlos Celis‐Morales, et al.. (2018). Seasonality of depressive symptoms in women but not in men: A cross-sectional study in the UK Biobank cohort. Journal of Affective Disorders. 229. 296–305. 27 indexed citations

15.

Lyall, Laura M., Cathy Wyse, Nicholas Graham, et al.. (2018). Association of disrupted circadian rhythmicity with mood disorders, subjective wellbeing, and cognitive function: a cross-sectional study of 91 105 participants from the UK Biobank. The Lancet Psychiatry. 5(6). 507–514. 265 indexed citations breakdown →

16.

Ferguson, Amy, Laura M. Lyall, Joey Ward, et al.. (2018). Genome-Wide Association Study of Circadian Rhythmicity in 71,500 UK Biobank Participants and Polygenic Association with Mood Instability. EBioMedicine. 35. 279–287. 43 indexed citations

17.

Ward, Joey, Nicholas Graham, Rona J. Strawbridge, et al.. (2018). Polygenic risk scores for major depressive disorder and neuroticism as predictors of antidepressant response: Meta-analysis of three treatment cohorts. PLoS ONE. 13(9). e0203896–e0203896. 41 indexed citations

18.

Strawbridge, Rona J., Joey Ward, Breda Cullen, et al.. (2018). Genome-wide analysis of self-reported risk-taking behaviour and cross-disorder genetic correlations in the UK Biobank cohort. Translational Psychiatry. 8(1). 39–39. 48 indexed citations

19.

Ward, Joey, Rona J. Strawbridge, Mark E.S. Bailey, et al.. (2017). Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia. Translational Psychiatry. 7(11). 1264–1264. 53 indexed citations

20.

Harrison, Anthony M., et al.. (2017). Anytime, anyplace, anywhere? Addressing physical availability of alcohol in Australia and the UK.. 6 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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