Ailsa McKay

1.9k total citations
45 papers, 1.1k citations indexed

About

Ailsa McKay is a scholar working on Political Science and International Relations, Endocrinology, Diabetes and Metabolism and Economics and Econometrics. According to data from OpenAlex, Ailsa McKay has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Political Science and International Relations, 8 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Economics and Econometrics. Recurrent topics in Ailsa McKay's work include Social Policy and Reform Studies (9 papers), Chronic Disease Management Strategies (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). Ailsa McKay is often cited by papers focused on Social Policy and Reform Studies (9 papers), Chronic Disease Management Strategies (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). Ailsa McKay collaborates with scholars based in United Kingdom, United States and India. Ailsa McKay's co-authors include Azeem Majeed, Layla Alhyas, P A Mahesh, Tomasz Ochędalski, John A. Russell, Agnieszka Wanda Piastowska‐Ciesielska, Elżbieta Rębas, Paula J. Brunton, Kausik K. Ray and V M Hawthorne and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Ailsa McKay

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ailsa McKay United Kingdom 15 222 206 148 134 119 45 1.1k
Sarah Cotterill United Kingdom 22 183 0.8× 172 0.8× 161 1.1× 396 3.0× 122 1.0× 90 1.4k
Phil Brown United Kingdom 7 414 1.9× 236 1.1× 69 0.5× 120 0.9× 44 0.4× 9 1.2k
Ross MacDonald United States 20 292 1.3× 74 0.4× 205 1.4× 179 1.3× 329 2.8× 105 1.3k
José Miguel Cruz United States 23 604 2.7× 56 0.3× 103 0.7× 136 1.0× 189 1.6× 82 2.0k
Yuxiao Wu China 16 244 1.1× 44 0.2× 163 1.1× 93 0.7× 57 0.5× 44 884
Kristian Bolin Sweden 22 643 2.9× 88 0.4× 184 1.2× 630 4.7× 163 1.4× 70 2.0k
Charles L. Baum United States 27 427 1.9× 110 0.5× 449 3.0× 459 3.4× 78 0.7× 78 2.4k
Klasien Horstman Netherlands 18 204 0.9× 42 0.2× 231 1.6× 364 2.7× 99 0.8× 125 1.2k
Robab Latifnejad Roudsari Iran 24 353 1.6× 179 0.9× 487 3.3× 481 3.6× 96 0.8× 188 2.4k
Vanita Gupta India 18 286 1.3× 43 0.2× 93 0.6× 292 2.2× 66 0.6× 45 1.5k

Countries citing papers authored by Ailsa McKay

Since Specialization
Citations

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

Fields of papers citing papers by Ailsa McKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ailsa McKay

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

All Works

20 of 20 papers shown
1.
2.
McKay, Ailsa, Laura H. Gunn, & Kausik K. Ray. (2022). Assessing the external validity of the SAFEHEART risk prediction model in patients with familial hypercholesterolaemia in an English routine care cohort. Atherosclerosis. 358. 68–74. 5 indexed citations
3.
Gunn, Laura H., Ailsa McKay, Amy Feng, et al.. (2022). Estimated cardiovascular benefits of bempedoic acid in patients with established cardiovascular disease. SHILAP Revista de lepidopterología. 49. 20–27. 10 indexed citations
4.
McKay, Ailsa, Laura H. Gunn, Thirunavukkarasu Sathish, et al.. (2021). Associations between attainment of incentivised primary care indicators and incident diabetic retinopathy in England: a population-based historical cohort study. BMC Medicine. 19(1). 93–93. 9 indexed citations
5.
McKay, Ailsa, Laura H. Gunn, Eszter P. Vamos, et al.. (2021). Associations between attainment of incentivised primary care diabetes indicators and mortality in an English cohort. Diabetes Research and Clinical Practice. 174. 108746–108746. 11 indexed citations
6.
Ray, Kausik K., Laura H. Gunn, Ailsa McKay, et al.. (2021). ESTIMATED CARDIOVASCULAR BENEFITS OF BEMPEDOIC ACID IN PATIENTS WITH ESTABLISHED CARDIOVASCULAR DISEASE. Journal of the American College of Cardiology. 77(18). 1460–1460. 3 indexed citations
7.
McKay, Ailsa, et al.. (2020). Trends in tobacco, alcohol and branded fast-food imagery in Bollywood films, 1994-2013. PLoS ONE. 15(5). e0230050–e0230050. 6 indexed citations
8.
McKay, Ailsa, Helen Hogan, Steve E. Humphries, et al.. (2018). Universal screening at age 1–2 years as an adjunct to cascade testing for familial hypercholesterolaemia in the UK: A cost-utility analysis. Atherosclerosis. 275. 434–443. 50 indexed citations
9.
McKay, Ailsa, Anthony A Laverty, Krithiga Shridhar, et al.. (2015). Associations between active travel and adiposity in rural India and Bangladesh: a cross-sectional study. BMC Public Health. 15(1). 1087–1087. 14 indexed citations
10.
McKay, Ailsa, et al.. (2015). Strategies for Tobacco Control in India: A Systematic Review. PLoS ONE. 10(4). e0122610–e0122610. 52 indexed citations
11.
McKay, Ailsa, Roger Newson, Michael Soljak, et al.. (2015). Are primary care factors associated with hospital episodes for adverse drug reactions? A national observational study. BMJ Open. 5(12). e008130–e008130. 5 indexed citations
12.
McKay, Ailsa. (2013). Crisis, Cuts, Citizenship and a Basic Income: A Wicked Solution to a Wicked Problem. Basic Income Studies. 8(1). 93–104. 1 indexed citations
13.
McKay, Ailsa, et al.. (2013). A collaborative approach to health promotion in early stage dementia. Nursing Standard. 27(36). 49–57. 2 indexed citations
14.
McKay, Ailsa, et al.. (2013). Collaborative health promotion in middle and later stages of dementia. Nursing Standard. 27(37). 49–56. 3 indexed citations
15.
Alhyas, Layla, Ailsa McKay, & Azeem Majeed. (2012). Prevalence of Type 2 Diabetes in the States of The Co-Operation Council for the Arab States of the Gulf: A Systematic Review. PLoS ONE. 7(8). e40948–e40948. 85 indexed citations
16.
McKay, Ailsa, et al.. (2012). Prevalence of COPD in India: a systematic review. Primary Care Respiratory Journal. 21(3). 313–321. 76 indexed citations
17.
18.
Brunton, Paula J., Ailsa McKay, Tomasz Ochędalski, et al.. (2009). Central Opioid Inhibition of Neuroendocrine Stress Responses in Pregnancy in the Rat Is Induced by the Neurosteroid Allopregnanolone. Journal of Neuroscience. 29(20). 6449–6460. 107 indexed citations
19.
McKay, Ailsa. (2007). Why a citizens' basic income? A question of gender equality or gender bias. Work Employment and Society. 21(2). 337–348. 15 indexed citations
20.
McKay, Ailsa, et al.. (1973). Drug Taking among Medical Students at Glasgow University. BMJ. 1(5852). 540–543. 32 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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