Keira J.A. Johnston

1.4k total citations
19 papers, 499 citations indexed

About

Keira J.A. Johnston is a scholar working on Physiology, Genetics and Psychiatry and Mental health. According to data from OpenAlex, Keira J.A. Johnston has authored 19 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 8 papers in Genetics and 7 papers in Psychiatry and Mental health. Recurrent topics in Keira J.A. Johnston's work include Fibromyalgia and Chronic Fatigue Syndrome Research (6 papers), Genetic Associations and Epidemiology (6 papers) and Pain Mechanisms and Treatments (6 papers). Keira J.A. Johnston is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (6 papers), Genetic Associations and Epidemiology (6 papers) and Pain Mechanisms and Treatments (6 papers). Keira J.A. Johnston collaborates with scholars based in United Kingdom, Sweden and United States. Keira J.A. Johnston's co-authors include Joey Ward, Daniel J. Smıth, Rona J. Strawbridge, Mark E.S. Bailey, Amy Ferguson, Andrew M. McIntosh, Barbara I. Nicholl, Mark J. Adams, Laura M. Huckins and Laura M. Lyall and has published in prestigious journals such as Biological Psychiatry, Pain and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Keira J.A. Johnston

17 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keira J.A. Johnston United Kingdom 10 132 121 111 86 81 19 499
Yu‐Chih Shen Taiwan 15 192 1.5× 107 0.9× 113 1.0× 64 0.7× 57 0.7× 64 685
Kimberly Albert United States 12 124 0.9× 98 0.8× 78 0.7× 40 0.5× 64 0.8× 24 704
Hazel Platt United Kingdom 12 94 0.7× 82 0.7× 53 0.5× 130 1.5× 101 1.2× 18 593
Martina Balestri Italy 17 336 2.5× 108 0.9× 58 0.5× 116 1.3× 132 1.6× 34 748
Jon‐Kar Zubieta United States 13 152 1.2× 59 0.5× 90 0.8× 57 0.7× 55 0.7× 14 673
Elena Marino Italy 11 202 1.5× 63 0.5× 115 1.0× 227 2.6× 84 1.0× 15 707
Ru Band Lu Taiwan 12 242 1.8× 81 0.7× 105 0.9× 66 0.8× 71 0.9× 17 714
Xingbing Huang China 14 256 1.9× 36 0.3× 80 0.7× 75 0.9× 87 1.1× 49 626
Tetsufumi Kanazawa Japan 15 195 1.5× 131 1.1× 34 0.3× 51 0.6× 85 1.0× 53 699
Joseph Aloi United States 20 51 0.4× 195 1.6× 156 1.4× 85 1.0× 82 1.0× 40 1.2k

Countries citing papers authored by Keira J.A. Johnston

Since Specialization
Citations

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

Fields of papers citing papers by Keira J.A. Johnston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keira J.A. Johnston. 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 Keira J.A. Johnston. The network helps show where Keira J.A. Johnston may publish in the future.

Co-authorship network of co-authors of Keira J.A. Johnston

This figure shows the co-authorship network connecting the top 25 collaborators of Keira J.A. Johnston. A scholar is included among the top collaborators of Keira J.A. Johnston 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 Keira J.A. Johnston. Keira J.A. Johnston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
2.
Seah, Carina, Emily M. Hicks, Paul E. Holtzheimer, et al.. (2025). The impact of chronic pain on brain gene expression. Pain. 166(12). e689–e702. 2 indexed citations
3.
Johnston, Keira J.A., Rebecca Signer, & Laura M. Huckins. (2024). Chronic overlapping pain conditions and nociplastic pain. Human Genetics and Genomics Advances. 6(1). 100381–100381. 8 indexed citations
4.
Hicks, Emily M., Maria Niarchou, Slavina B. Goleva, et al.. (2024). Comorbidity Profiles of Posttraumatic Stress Disorder Across the Medical Phenome. Biological Psychiatry Global Open Science. 4(5). 100337–100337. 2 indexed citations
5.
Johnston, Keira J.A., et al.. (2023). Genetically Regulated Gene Expression in the Brain Associated With Chronic Pain: Relationships With Clinical Traits and Potential for Drug Repurposing. Biological Psychiatry. 95(8). 745–761. 6 indexed citations
6.
Johnston, Keira J.A. & Laura M. Huckins. (2022). Chronic Pain and Psychiatric Conditions. PubMed. 9(1-4). 24–43. 24 indexed citations
7.
Johnston, Keira J.A., Joey Ward, Pradipta Ray, et al.. (2021). Sex-stratified genome-wide association study of multisite chronic pain in UK Biobank. PLoS Genetics. 17(4). e1009428–e1009428. 50 indexed citations
8.
Campbell, Desmond, Michael Green, Neil M Davies, et al.. (2021). Effects of increased body mass index on employment status: a Mendelian randomisation study. International Journal of Obesity. 45(8). 1790–1801. 9 indexed citations
9.
Johnston, Keira J.A., Nicholas Graham, Breda Cullen, et al.. (2021). Genetic Variation in the ASTN2 Locus in Cardiovascular, Metabolic and Psychiatric Traits: Evidence for Pleiotropy Rather Than Shared Biology. Genes. 12(8). 1194–1194. 7 indexed citations
10.
Bailey, Mark E.S., Breda Cullen, Amy Ferguson, et al.. (2020). Exploring the Role of Contactins across Psychological, Psychiatric and Cardiometabolic Traits within UK Biobank. Genes. 11(11). 1326–1326. 6 indexed citations
11.
Johnston, Keira J.A., Mark J. Adams, Barbara I. Nicholl, et al.. (2019). Identification of novel common variants associated with chronic pain using conditional false discovery rate analysis with major depressive disorder and assessment of pleiotropic effects of LRFN5. Translational Psychiatry. 9(1). 310–310. 16 indexed citations
12.
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
13.
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
14.
15.
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
16.
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
17.
Ward, Joey, Laura M. Lyall, Richard A. I. Bethlehem, et al.. (2019). 32 NOVEL GENOME-WIDE ASSOCIATIONS FOR ANHEDONIA, GENETIC CORRELATION WITH PSYCHIATRIC DISORDERS, AND POLYGENIC ASSOCIATION WITH BRAIN STRUCTURE. European Neuropsychopharmacology. 29. S77–S77.
18.
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
19.
Campos, José Luis, Keira J.A. Johnston, & Brian Charlesworth. (2017). The Effects of Sex-Biased Gene Expression and X-Linkage on Rates of Sequence Evolution in Drosophila. Molecular Biology and Evolution. 35(3). 655–665. 11 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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