Danielle Butler

955 total citations · 1 hit paper
31 papers, 666 citations indexed

About

Danielle Butler is a scholar working on General Health Professions, Economics and Econometrics and Health. According to data from OpenAlex, Danielle Butler has authored 31 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in General Health Professions, 12 papers in Economics and Econometrics and 9 papers in Health. Recurrent topics in Danielle Butler's work include Primary Care and Health Outcomes (14 papers), Healthcare Policy and Management (12 papers) and Health disparities and outcomes (7 papers). Danielle Butler is often cited by papers focused on Primary Care and Health Outcomes (14 papers), Healthcare Policy and Management (12 papers) and Health disparities and outcomes (7 papers). Danielle Butler collaborates with scholars based in Australia, United States and Qatar. Danielle Butler's co-authors include Andrew Bazemore, Stephen Petterson, Robert L. Phillips, Kirsty Douglas, Ian McRae, Soumya Mazumdar, Laurie Brown, Rosemary Korda, Nasser Bagheri and Robin L. Snipes and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Social Science & Medicine.

In The Last Decade

Danielle Butler

26 papers receiving 656 citations

Hit Papers

Measures of Social Deprivation That Predict Health Care A... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Butler Australia 9 294 192 133 93 86 31 666
Michelle Allender United States 5 244 0.8× 167 0.9× 75 0.6× 80 0.9× 158 1.8× 8 643
Karen Bouye United States 10 320 1.1× 136 0.7× 77 0.6× 58 0.6× 97 1.1× 12 645
Elizabeth Tarlov United States 16 237 0.8× 93 0.5× 165 1.2× 71 0.8× 146 1.7× 46 680
Tim Evans United Kingdom 4 370 1.3× 131 0.7× 146 1.1× 72 0.8× 219 2.5× 6 895
Li-Jung Liang United States 11 237 0.8× 90 0.5× 307 2.3× 197 2.1× 96 1.1× 12 1.1k
Klas-Göran Sahlèn Sweden 13 260 0.9× 89 0.5× 123 0.9× 88 0.9× 126 1.5× 40 675
Kathryn R. Fingar United States 19 275 0.9× 104 0.5× 166 1.2× 167 1.8× 185 2.2× 62 1.1k
Melissa McLeod New Zealand 16 212 0.7× 96 0.5× 58 0.4× 109 1.2× 147 1.7× 52 722
Gmerice Hammond United States 10 240 0.8× 91 0.5× 123 0.9× 140 1.5× 132 1.5× 20 723
Rachael McCleary United States 11 229 0.8× 188 1.0× 106 0.8× 42 0.5× 58 0.7× 15 485

Countries citing papers authored by Danielle Butler

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Butler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Butler

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Butler. A scholar is included among the top collaborators of Danielle Butler 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 Danielle Butler. Danielle Butler 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.
Dykgraaf, Sally Hall, Anne Parkinson, Michael Wright, et al.. (2025). Ten pressure points in primary care during COVID-19: findings from an international narrative review. BMC Primary Care. 26(1). 19–19.
3.
Butler, Danielle, et al.. (2025). Primary health care performance measurement at the service delivery level in Indonesia: a scoping review. BMC Health Services Research. 25(1). 898–898.
5.
Butler, Danielle, Sarah Larkins, Louisa Jorm, & Rosemary Korda. (2024). Does use of GP and specialist services vary across areas and according to individual socioeconomic position? A multilevel analysis using linked data in Australia. BMJ Open. 14(1). e074624–e074624. 2 indexed citations
6.
Butler, Danielle, Sarah Larkins, & Rosemary Korda. (2023). Association of individual‐socioeconomic variation in quality‐of‐primary care with area‐level service organisation: A multilevel analysis using linked data. Journal of Evaluation in Clinical Practice. 29(6). 984–997. 1 indexed citations
7.
8.
Douglas, Kirsty, Sally Hall Dykgraaf, & Danielle Butler. (2023). Harnessing fast and slow thinking to ensure sustainability of general practice and functional universal health coverage in Australia. The Medical Journal of Australia. 218(7). 288–290. 3 indexed citations
9.
Welsh, Jennifer, Nicholas Biddle, Danielle Butler, & Rosemary Korda. (2023). Discretion in decision to receive COVID-19 vaccines and associated socio-economic inequalities in rates of uptake: a whole-of-population data linkage study from Australia. Public Health. 224. 82–89. 2 indexed citations
10.
Butler, Danielle, Grace Joshy, Kirsty Douglas, et al.. (2022). Changes in general practice use and costs with COVID-19 and telehealth initiatives: analysis of Australian whole-population linked data. British Journal of General Practice. 73(730). e364–e373. 5 indexed citations
11.
Parkinson, Anne, et al.. (2022). Real price of health-experiences of out-of-pocket costs in Australia: protocol for a systematic review. BMJ Open. 12(12). e065932–e065932. 1 indexed citations
12.
Butler, Danielle, Jennifer Welsh, Emily Lancsar, et al.. (2022). Progressivity of out-of-pocket costs under Australia's universal health care system: A national linked data study. Health Policy. 127. 44–50. 5 indexed citations
13.
Sherriff, Graeme, Aimee Ambrose, Danielle Butler, & Trivess Moore. (2022). Special Issue: The uneven and increasingly complex dynamics of decarbonisation and energy poverty in the context of unprecedented energy and climate crises. SHILAP Revista de lepidopterología. 16(1). 1–5. 4 indexed citations
14.
Welsh, Jennifer, Grace Joshy, Kay S, et al.. (2021). Education-related inequalities in cause-specific mortality: first estimates for Australia using individual-level linked census and mortality data. International Journal of Epidemiology. 50(6). 1981–1994. 8 indexed citations
16.
Butler, Danielle, Ellie Paige, Rosemary Korda, et al.. (2021). Aboriginal and Torres Strait Islander health checks: sociodemographic characteristics and cardiovascular risk factors. Public Health Research & Practice. 32(1). 4 indexed citations
17.
Butler, Danielle, et al.. (2016). Levels of Born-Digital Access. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
18.
Bagheri, Nasser, Ian McRae, Danielle Butler, et al.. (2014). Undiagnosed diabetes from cross-sectional GP practice data: an approach to identify communities with high likelihood of undiagnosed diabetes. BMJ Open. 4(7). e005305–e005305. 24 indexed citations
20.
Mazumdar, Soumya, et al.. (2013). General practitioner (family physician) workforce in Australia: comparing geographic data from surveys, a mailing list and medicare. BMC Health Services Research. 13(1). 343–343. 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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