Stuart McTaggart

789 total citations
21 papers, 294 citations indexed

About

Stuart McTaggart is a scholar working on Geriatrics and Gerontology, Public Health, Environmental and Occupational Health and General Health Professions. According to data from OpenAlex, Stuart McTaggart has authored 21 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Geriatrics and Gerontology, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in General Health Professions. Recurrent topics in Stuart McTaggart's work include Pharmaceutical Practices and Patient Outcomes (6 papers), Pharmacovigilance and Adverse Drug Reactions (3 papers) and COVID-19 Clinical Research Studies (2 papers). Stuart McTaggart is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (6 papers), Pharmacovigilance and Adverse Drug Reactions (3 papers) and COVID-19 Clinical Research Studies (2 papers). Stuart McTaggart collaborates with scholars based in United Kingdom, Iraq and South Africa. Stuart McTaggart's co-authors include Marion Bennie, Clifford Nangle, Samantha Alvarez‐Madrazo, Chris Johnson, Sheila M. Bird, Polyxeni Dimitropoulou, Roy Robertson, Lu Gao, Kathryn Bush and Christian Schnier and has published in prestigious journals such as Gut, International Journal of Epidemiology and Journal of Epidemiology & Community Health.

In The Last Decade

Stuart McTaggart

16 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stuart McTaggart United Kingdom 9 72 60 51 45 37 21 294
Rosa Camila Lucchetta Brazil 12 43 0.6× 27 0.5× 88 1.7× 52 1.2× 50 1.4× 54 426
Pramit Nadpara United States 13 45 0.6× 102 1.7× 73 1.4× 39 0.9× 18 0.5× 40 446
Inmyung Song South Korea 12 39 0.5× 42 0.7× 30 0.6× 58 1.3× 37 1.0× 56 384
Ayla M. Tourkmani Saudi Arabia 13 77 1.1× 47 0.8× 48 0.9× 45 1.0× 12 0.3× 31 439
Matthew Dahl Canada 14 103 1.4× 104 1.7× 55 1.1× 55 1.2× 75 2.0× 26 649
Linh K. Nguyen United States 10 52 0.7× 112 1.9× 45 0.9× 24 0.5× 17 0.5× 26 308
Chau Tran Canada 6 36 0.5× 56 0.9× 42 0.8× 38 0.8× 37 1.0× 11 426
Deborah Taira Juarez United States 15 126 1.8× 76 1.3× 62 1.2× 146 3.2× 44 1.2× 34 682
Dana G. Carroll United States 12 36 0.5× 64 1.1× 156 3.1× 46 1.0× 39 1.1× 38 597
Tjerk Wiersma Netherlands 10 87 1.2× 76 1.3× 22 0.4× 105 2.3× 30 0.8× 58 362

Countries citing papers authored by Stuart McTaggart

Since Specialization
Citations

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

Fields of papers citing papers by Stuart McTaggart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stuart McTaggart

This figure shows the co-authorship network connecting the top 25 collaborators of Stuart McTaggart. A scholar is included among the top collaborators of Stuart McTaggart 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 Stuart McTaggart. Stuart McTaggart 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
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Kurdi, Amanj, et al.. (2025). Prescribing pattern of disease-modifying antirheumatic drugs in Scotland (2019–2023): a population-based retrospective cohort study. Expert Review of Clinical Pharmacology. 18(7). 519–530.
4.
Mueller, Tanja, et al.. (2023). Data Resource Profile: The Hospital Electronic Prescribing and Medicines Administration (HEPMA) National Data Collection in Scotland. International Journal for Population Data Science. 8(6). 2182–2182.
5.
Krulichová, Iva Selke, Gisbert Selke, Marion Bennie, et al.. (2022). Comparison of drug prescribing before and during the COVID‐19 pandemic: A cross‐national European study. Pharmacoepidemiology and Drug Safety. 31(10). 1046–1055. 26 indexed citations
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Mueller, Tanja, Amanj Kurdi, Elliott C. R. Hall, et al.. (2022). Assessing medication use patterns in patients hospitalised with COVID-19: a retrospective study. BMJ Open. 12(12). e064320–e064320. 2 indexed citations
8.
Trayner, Kirsten M. A., Andrew McAuley, Norah Palmateer, et al.. (2022). Examining the impact of the first wave of COVID-19 and associated control measures on interventions to prevent blood-borne viruses among people who inject drugs in Scotland: an interrupted time series study. Drug and Alcohol Dependence. 232. 109263–109263. 15 indexed citations
9.
Mueller, Tanja, Steven Kerr, Stuart McTaggart, et al.. (2021). Retrospective cohort study to evaluate medication use in patients hospitalised with COVID-19 in Scotland: protocol for a national observational study. BMJ Open. 11(11). e054861–e054861. 2 indexed citations
10.
Wilkinson, Tim, Christian Schnier, Kathryn Bush, et al.. (2021). Drug prescriptions and dementia incidence: a medication-wide association study of 17000 dementia cases among half a million participants. Journal of Epidemiology & Community Health. 76(3). 223–229. 22 indexed citations
11.
Cherrie, Mark, Sarah Curtis, Gergő Baranyi, et al.. (2020). Use of sequence analysis for classifying individual antidepressant trajectories to monitor population mental health. BMC Psychiatry. 20(1). 551–551. 6 indexed citations
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Bennie, Marion, William Malcolm, Stuart McTaggart, & Tanja Mueller. (2019). Improving prescribing through big data approaches—Ten years of the Scottish Prescribing Information System. British Journal of Clinical Pharmacology. 86(2). 250–257. 8 indexed citations
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Nangle, Clifford, et al.. (2017). Application of natural language processing methods to extract coded data from administrative data held in the Scottish Prescribing Information System. International Journal for Population Data Science. 1(1). 2 indexed citations
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Gao, Lu, Polyxeni Dimitropoulou, Roy Robertson, et al.. (2016). Risk-factors for methadone-specific deaths in Scotland’s methadone-prescription clients between 2009 and 2013*. Drug and Alcohol Dependence. 167. 214–223. 34 indexed citations
15.
Alvarez‐Madrazo, Samantha, et al.. (2016). Data Resource Profile: The Scottish National Prescribing Information System (PIS). International Journal of Epidemiology. 45(3). 714–715f. 101 indexed citations
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Johnson, Chris, et al.. (2016). Benzodiazepine and z-hypnotic prescribing for older people in primary care: a cross-sectional population-based study. British Journal of General Practice. 66(647). e410–e415. 44 indexed citations
17.
McTaggart, Stuart, et al.. (2014). PWE-176 Prevalence, Management, And Healthcare Burden Of Irritable Bowel Syndrome (ibs) In Scotland. Gut. 63(Suppl 1). A202.2–A203. 2 indexed citations
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Covvey, Jordan R., Stuart McTaggart, & Iain Bishop. (2010). Management of medication use in Scotland. American Journal of Health-System Pharmacy. 67(16). 1378–1382. 1 indexed citations
20.
McTaggart, Stuart, Iain Bishop, & Marion Bennie. (2009). Comparing medicines use. British Journal of Clinical Pharmacology. 1. 1 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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2026