Alison Bourke

1.5k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Alison Bourke is a scholar working on Public Health, Environmental and Occupational Health, Pharmacology and General Health Professions. According to data from OpenAlex, Alison Bourke has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 4 papers in Pharmacology and 3 papers in General Health Professions. Recurrent topics in Alison Bourke's work include Pregnancy and Medication Impact (4 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Clinical practice guidelines implementation (2 papers). Alison Bourke is often cited by papers focused on Pregnancy and Medication Impact (4 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Clinical practice guidelines implementation (2 papers). Alison Bourke collaborates with scholars based in United Kingdom, United States and Denmark. Alison Bourke's co-authors include Betina T. Blak, Mary Ann Thompson, Michael A. Robinson, Matthew W. Reynolds, Brian C. Sauer, Jeffrey S. Brown, Nancy A Dreyer, Shahrul Mt‐Isa, C. J. P. Smith and Barbara Iyen and has published in prestigious journals such as BMC Public Health, Pharmacoepidemiology and Drug Safety and JMIR Public Health and Surveillance.

In The Last Decade

Alison Bourke

13 papers receiving 1.1k citations

Hit Papers

Generalisability of The Health Improvement Network (THIN)... 2011 2026 2016 2021 2011 100 200 300 400 500
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.

  1. Generalisability of The Health Improvement Network (THIN) database:demographics, chronic disease prevalence and mortality rates
    2011 561 citations Betina T. Blak, Mary Ann Thompson et al. Journal of Innovation in Health Informatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alison Bourke United Kingdom 9 206 167 156 139 137 13 1.1k
Tim Williams United Kingdom 16 267 1.3× 225 1.3× 179 1.1× 183 1.3× 125 0.9× 31 1.4k
Betina T. Blak United Kingdom 12 215 1.0× 126 0.8× 189 1.2× 141 1.0× 297 2.2× 24 1.1k
Gerry Gray United States 6 139 0.7× 155 0.9× 142 0.9× 126 0.9× 111 0.8× 9 1.4k
Andrew Maguire United Kingdom 19 278 1.3× 107 0.6× 168 1.1× 297 2.1× 128 0.9× 42 1.3k
Jennifer Christian United States 20 209 1.0× 139 0.8× 305 2.0× 225 1.6× 169 1.2× 61 1.2k
Meenal Patwardhan United States 16 185 0.9× 193 1.2× 64 0.4× 217 1.6× 97 0.7× 37 1.2k
Gordon H. Guyatt Canada 8 157 0.8× 201 1.2× 173 1.1× 139 1.0× 60 0.4× 12 1.3k
Christine Cox United States 15 195 0.9× 262 1.6× 86 0.6× 122 0.9× 89 0.6× 33 1.2k
Siân Harrison United Kingdom 16 214 1.0× 391 2.3× 135 0.9× 109 0.8× 103 0.8× 47 1.4k
Jacqueline Young Canada 17 289 1.4× 182 1.1× 120 0.8× 105 0.8× 67 0.5× 31 1.2k

Countries citing papers authored by Alison Bourke

Since Specialization
Citations

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

Fields of papers citing papers by Alison Bourke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alison Bourke

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

All Works

13 of 13 papers shown
1.
Reynolds, Matthew W., Alison Bourke, & Nancy A Dreyer. (2020). Considerations when evaluating real‐world data quality in the context of fitness for purpose. Pharmacoepidemiology and Drug Safety. 29(10). 1316–1318. 21 indexed citations
2.
Bourke, Alison, William G Dixon, Andrew Roddam, et al.. (2020). Incorporating patient generated health data into pharmacoepidemiological research. Pharmacoepidemiology and Drug Safety. 29(12). 1540–1549. 12 indexed citations
3.
Pottegård, Anton, Olaf H. Klungel, Almut G. Winterstein, et al.. (2019). The International Society for Pharmacoepidemiology's Comments on the Core Recommendations in the Summary of the Heads of Medicines Agencies (HMA) ‐ EMA Joint Big Data Task Force. Pharmacoepidemiology and Drug Safety. 28(12). 1640–1641. 3 indexed citations
4.
Laursen, Maja, et al.. (2019). Comparison of electronic self‐reported prescription medication use during pregnancy with the national prescription register in Denmark. Pharmacoepidemiology and Drug Safety. 29(3). 328–336. 8 indexed citations
5.
Richardson, Jonathan L., Sally Stephens, Simon H. L. Thomas, et al.. (2016). An International Study of the Ability and Cost-Effectiveness of Advertising Methods to Facilitate Study Participant Self-Enrolment Into a Pilot Pharmacovigilance Study During Early Pregnancy. JMIR Public Health and Surveillance. 2(1). e13–e13. 4 indexed citations
6.
Bourke, Alison, et al.. (2016). Evidence generation from healthcare databases: recommendations for managing change. Pharmacoepidemiology and Drug Safety. 25(7). 749–754. 14 indexed citations
7.
Dreyer, Nancy A, et al.. (2015). Balancing the Interests of Patient Data Protection and Medication Safety Monitoring in a Public-Private Partnership. JMIR Medical Informatics. 3(2). e18–e18. 11 indexed citations
8.
Dreyer, Nancy A, Shahrul Mt‐Isa, Jonathan L. Richardson, et al.. (2015). Direct-to-Patient Research: Piloting a New Approach to Understanding Drug Safety During Pregnancy. JMIR Public Health and Surveillance. 1(2). e22–e22. 24 indexed citations
9.
Sauer, Brian C., et al.. (2012). Guidelines for Good Database Selection and use in Pharmacoepidemiology Research. Pharmacoepidemiology and Drug Safety. 21(11). 1249–1249. 5 indexed citations
10.
Sauer, Brian C., et al.. (2011). Guidelines for good database selection and use in pharmacoepidemiology research. Pharmacoepidemiology and Drug Safety. 21(1). 1–10. 152 indexed citations
11.
Blak, Betina T., et al.. (2011). Generalisability of The Health Improvement Network (THIN) database:demographics, chronic disease prevalence and mortality rates. Journal of Innovation in Health Informatics. 19(4). 251–255. 561 indexed citations breakdown →
12.
Iyen, Barbara, et al.. (2011). The distribution of lung cancer across sectors of society in the United Kingdom: a study using national primary care data. BMC Public Health. 11(1). 857–857. 30 indexed citations
13.
Bourke, Alison, et al.. (2004). Feasibility study and methodology to create a quality-evaluateddatabase of primary care data. Journal of Innovation in Health Informatics. 12(3). 171–177. 263 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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