Mark E.S. Bailey

7.4k total citations · 3 hit papers
82 papers, 4.7k citations indexed

About

Mark E.S. Bailey is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Mark E.S. Bailey has authored 82 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Genetics, 29 papers in Molecular Biology and 15 papers in Cognitive Neuroscience. Recurrent topics in Mark E.S. Bailey's work include Genetics and Neurodevelopmental Disorders (23 papers), Genetic Associations and Epidemiology (18 papers) and Autism Spectrum Disorder Research (13 papers). Mark E.S. Bailey is often cited by papers focused on Genetics and Neurodevelopmental Disorders (23 papers), Genetic Associations and Epidemiology (18 papers) and Autism Spectrum Disorder Research (13 papers). Mark E.S. Bailey collaborates with scholars based in United Kingdom, Sweden and United States. Mark E.S. Bailey's co-authors include Jason M. R. Gill, Stuart Cobb, Joey Ward, Helen Leonard, Angus Clarke, John Christodoulou, Carlos Celis‐Morales, Daniel J. Smıth, Michele Zappella and Jeffrey L. Neul and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Psychiatry.

In The Last Decade

Mark E.S. Bailey

80 papers receiving 4.6k 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.

Rett syndrome: Revised diagnostic criteria and nomenclature

2010 990 citations Angus Clarke, Helen Leonard et al. profile →
Objective vs. Self-Reported Physical Activity and Sedentary Time: Effects of Measurement Method on Relationships with Risk Biomarkers

2012 373 citations Carlos Celis‐Morales, Mark E.S. Bailey et al. PLoS ONE profile →
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. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark E.S. Bailey United Kingdom	37	2.3k	1.5k	1.2k	753	565	82	4.7k
Allison E. Ashley‐Koch United States	48	1.8k 0.8×	2.2k 1.5×	1.6k 1.3×	531 0.7×	766 1.4×	210	8.3k
Jouke‐Jan Hottenga Netherlands	39	2.0k 0.8×	891 0.6×	456 0.4×	484 0.6×	790 1.4×	153	5.2k
Brion S. Maher United States	36	1.5k 0.6×	1.1k 0.8×	551 0.4×	309 0.4×	722 1.3×	140	4.8k
Hilary Coon United States	51	2.3k 1.0×	1.9k 1.3×	2.7k 2.2×	680 0.9×	1.4k 2.5×	185	8.2k
Michael P. Epstein United States	35	2.9k 1.2×	2.3k 1.6×	617 0.5×	301 0.4×	436 0.8×	125	5.7k
Stephanie H. Witt Germany	40	762 0.3×	1.5k 1.0×	1.1k 0.9×	482 0.6×	608 1.1×	165	4.9k
Kieran C. Murphy United Kingdom	47	2.6k 1.1×	3.0k 2.0×	1.7k 1.4×	392 0.5×	664 1.2×	164	7.1k
Tiina Paunio Finland	43	1.2k 0.5×	1.3k 0.9×	1.3k 1.0×	566 0.8×	953 1.7×	201	6.0k
Jacques Tremblay Canada	47	2.1k 0.9×	2.7k 1.8×	525 0.4×	320 0.4×	495 0.9×	160	6.8k
Megan C. Holmes United Kingdom	52	1.8k 0.8×	2.2k 1.5×	906 0.7×	1.3k 1.7×	274 0.5×	112	10.4k

Countries citing papers authored by Mark E.S. Bailey

Since Specialization

Citations

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

Fields of papers citing papers by Mark E.S. Bailey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark E.S. Bailey. 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 Mark E.S. Bailey. The network helps show where Mark E.S. Bailey may publish in the future.

Co-authorship network of co-authors of Mark E.S. Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of Mark E.S. Bailey. A scholar is included among the top collaborators of Mark E.S. Bailey 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 Mark E.S. Bailey. Mark E.S. Bailey 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

Anderson, Jana, Mark E.S. Bailey, Claire L. Niedzwiedz, et al.. (2024). Genetic variation in circadian regulator gene BMAL1 in psychiatric, psychological and cardiometabolic traits: a trans-ancestry UK Biobank study. SHILAP Revista de lepidopterología. 27(1). e301267–e301267.

Cullen, Breda, Marc J. Gameroff, Joey Ward, et al.. (2023). Cognitive Function in People With Familial Risk of Depression. JAMA Psychiatry. 80(6). 610–610. 4 indexed citations

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

Jani, Bhautesh, Barbara I. Nicholl, Peter Hanlon, et al.. (2021). Family history of diabetes and risk of SARS‐COV‐2 in UK Biobank: A prospective cohort study. Endocrinology Diabetes & Metabolism. 4(4). e00283–e00283. 1 indexed citations

Rendón‐Anaya, Martha, Sæmundur Sveinsson, Joan Cottrell, et al.. (2021). Adaptive Introgression Facilitates Adaptation to High Latitudes in European Aspen (Populus tremula L.). Molecular Biology and Evolution. 38(11). 5034–5050. 28 indexed citations

Mähler, Niklas, Bastian Schiffthaler, Kathryn M. Robinson, et al.. (2020). Leaf shape in Populus tremula is a complex, omnigenic trait. Ecology and Evolution. 10(21). 11922–11940. 24 indexed citations

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

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

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

10.

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

11.

Celis‐Morales, Carlos, Donald M. Lyall, Mark E.S. Bailey, et al.. (2019). The Combination of Physical Activity and Sedentary Behaviors Modifies the Genetic Predisposition to Obesity. Obesity. 27(4). 653–661. 5 indexed citations

12.

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

13.

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

14.

Hector, Ralph D., Vera M. Kalscheuer, Helen Leonard, et al.. (2017). CDKL5 variants. Neurology Genetics. 3(6). e200–e200. 53 indexed citations

15.

Sinnett, Sarah E., Ralph D. Hector, Kamal K.E. Gadalla, et al.. (2017). Improved MECP2 Gene Therapy Extends the Survival of MeCP2-Null Mice without Apparent Toxicity after Intracisternal Delivery. Molecular Therapy — Methods & Clinical Development. 5. 106–115. 56 indexed citations

16.

Hector, Ralph D., Owen Dando, Nicoletta Landsberger, et al.. (2016). Characterisation of CDKL5 Transcript Isoforms in Human and Mouse. PLoS ONE. 11(6). e0157758–e0157758. 66 indexed citations

17.

Gianfagna, Francesco, Daniela Cugino, Wolfgang Ahrens, et al.. (2013). Understanding the Links among neuromedin U Gene, beta2-adrenoceptor Gene and Bone Health: An Observational Study in European Children. PLoS ONE. 8(8). e70632–e70632. 22 indexed citations

18.

Bailey, Mark E.S., Colin N. Moran, Richard H. Wilson, et al.. (2010). FTO genotype and adiposity in children: physical activity levels influence the effect of the risk genotype in adolescent males. European Journal of Human Genetics. 18(12). 1339–1343. 46 indexed citations

19.

Todd, Andrew J., Erika Polgár, C. Watt, Mark E.S. Bailey, & Masahiko Watanabe. (2009). Neurokinin 1 receptor‐expressing projection neurons in laminae III and IV of the rat spinal cord have synaptic AMPA receptors that contain GluR2, GluR3 and GluR4 subunits. European Journal of Neuroscience. 29(4). 718–726. 19 indexed citations

20.

Lagou, Vasiliki, Yannis Μanios, Colin N. Moran, et al.. (2007). Developmental changes in adiposity in toddlers and preschoolers in the GENESIS study and associations with the ACE I/D polymorphism. International Journal of Obesity. 31(7). 1052–1060. 19 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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