Stephen O’Neill

1.9k total citations · 1 hit paper
79 papers, 1.2k citations indexed

About

Stephen O’Neill is a scholar working on Economics and Econometrics, General Health Professions and Emergency Medicine. According to data from OpenAlex, Stephen O’Neill has authored 79 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Economics and Econometrics, 24 papers in General Health Professions and 9 papers in Emergency Medicine. Recurrent topics in Stephen O’Neill's work include Health Systems, Economic Evaluations, Quality of Life (12 papers), Healthcare Policy and Management (10 papers) and Advanced Causal Inference Techniques (8 papers). Stephen O’Neill is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (12 papers), Healthcare Policy and Management (10 papers) and Advanced Causal Inference Techniques (8 papers). Stephen O’Neill collaborates with scholars based in United Kingdom, Ireland and United States. Stephen O’Neill's co-authors include Brendan M. Walsh, Tom Van Ourti, Owen O’Donnell, Richard Grieve, Noémi Kreif, Matt Sutton, Jasjeet S. Sekhon, Kevin Hanrahan, Ciarán O’Neill and Brian Moran and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biophysical Journal.

In The Last Decade

Stephen O’Neill

68 papers receiving 1.2k citations

Hit Papers

Conindex: Estimation of Concentration Indices 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen O’Neill United Kingdom 16 326 253 189 172 156 79 1.2k
Min Su China 19 302 0.9× 178 0.7× 69 0.4× 211 1.2× 213 1.4× 64 1.0k
Lian Zhou China 22 309 0.9× 293 1.2× 157 0.8× 224 1.3× 120 0.8× 52 2.3k
Sutapa Agrawal India 25 223 0.7× 119 0.5× 287 1.5× 193 1.1× 144 0.9× 57 1.7k
Thea de Wet South Africa 20 299 0.9× 477 1.9× 153 0.8× 364 2.1× 54 0.3× 53 1.7k
Joachim Marti Switzerland 22 311 1.0× 356 1.4× 219 1.2× 87 0.5× 41 0.3× 82 1.2k
Guillermo Paraje Chile 20 349 1.1× 208 0.8× 200 1.1× 136 0.8× 150 1.0× 61 1.2k
Nigar Nargis United States 26 371 1.1× 270 1.1× 1.2k 6.3× 98 0.6× 33 0.2× 92 2.3k
Sabuj Kanti Mistry Australia 24 415 1.3× 123 0.5× 90 0.5× 326 1.9× 101 0.6× 107 1.9k
Simon Briscoe United Kingdom 21 552 1.7× 270 1.1× 93 0.5× 76 0.4× 55 0.4× 68 1.9k
Rockli Kim United States 25 769 2.4× 138 0.5× 133 0.7× 767 4.5× 145 0.9× 180 3.0k

Countries citing papers authored by Stephen O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Stephen O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen O’Neill. 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 Stephen O’Neill. The network helps show where Stephen O’Neill may publish in the future.

Co-authorship network of co-authors of Stephen O’Neill

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen O’Neill. A scholar is included among the top collaborators of Stephen O’Neill 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 Stephen O’Neill. Stephen O’Neill 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
2.
Bolbocean, Corneliu, Peter J. Anderson, Peter Bartmann, et al.. (2025). A heterogeneity analysis of health-related quality of life in early adults born very preterm or very low birthweight across the sociodemographic spectrum. Social Science & Medicine. 380. 118181–118181.
3.
Glover, R. E., Mirza Lalani, Thomas Allen, et al.. (2025). A mixed methods protocol for an impact and implementation evaluation of the Pharmacy First Services for management of common conditions in England. International Journal of Pharmacy Practice. 33(2). 152–161. 1 indexed citations
4.
Bolbocean, Corneliu, et al.. (2024). Are there patients with an intracapsular fracture of the hip who may benefit from an uncemented hemiarthroplasty?. The Bone & Joint Journal. 106-B(7). 656–661. 3 indexed citations
6.
Buckley, Cathal, et al.. (2024). Analysis of the marginal abatement cost curve for ammonia emissions: addressing farm system heterogeneity. Irish Journal of Agricultural and Food Research. 63(1).
8.
Grieve, Richard, Andrew Hutchings, Stephen O’Neill, et al.. (2023). Clinical effectiveness and cost-effectiveness of emergency surgery for adult emergency hospital admissions with common acute gastrointestinal conditions: the ESORT study. SHILAP Revista de lepidopterología. 11(1). 1–132. 5 indexed citations
9.
Ellins, Jo, Mustafa Al‐Haboubi, Jennifer Newbould, et al.. (2023). Implementing mental health support teams in schools and colleges: the perspectives of programme implementers and service providers. Journal of Mental Health. 33(6). 714–720. 2 indexed citations
10.
Ellins, Jo, Mustafa Al‐Haboubi, Jennifer Newbould, et al.. (2023). Early evaluation of the Children and Young People’s Mental Health Trailblazer programme: a rapid mixed-methods study. SHILAP Revista de lepidopterología. 11(8). 1–137. 8 indexed citations
11.
Boadu, Paul, Mustafa Al‐Haboubi, Jennifer Bostock, et al.. (2023). A machine-learning approach to estimating public intentions to become a living kidney donor in England: Evidence from repeated cross-sectional survey data. Frontiers in Public Health. 10. 1052338–1052338. 2 indexed citations
13.
O’Neill, Stephen, et al.. (2022). Explaining spatial accessibility to high-quality nursing home care in the US using machine learning. Spatial and Spatio-temporal Epidemiology. 41. 100503–100503. 6 indexed citations
14.
O’Neill, Stephen, et al.. (2021). A simulation study of the economic and health impact of a diabetes prevention programme in Ireland. Diabetic Medicine. 38(6). e14540–e14540. 4 indexed citations
15.
O’Neill, Stephen, et al.. (2021). Composite Measures for Assessing Multidimensional Social Exclusion in Later Life: Conceptual and Methodological Challenges. Social Indicators Research. 155(2). 389–410. 16 indexed citations
16.
Keogh, Fiona, et al.. (2020). Generating national projections of dementia cases for Ireland using a calibrated macro-simulation model. BMJ Open. 10(8). e035463–e035463. 6 indexed citations
17.
O’Neill, Stephen & Kevin Hanrahan. (2016). The capitalization of coupled and decoupled CAP payments into land rental rates. Agricultural Economics. 47(3). 285–294. 36 indexed citations
18.
O’Neill, Stephen, et al.. (2015). Willingness to pay towards a public good: how does a refund option affect stated values?. Journal of Environmental Planning and Management. 59(2). 342–359. 2 indexed citations
19.
O’Neill, Stephen, Joan Sweeney, C. C. Patterson, et al.. (2014). The cost of treating severe refractory asthma in the UK: an economic analysis from the British Thoracic Society Difficult Asthma Registry. Thorax. 70(4). 376–378. 134 indexed citations
20.
O’Neill, Stephen, et al.. (2013). Supporting the Conservation of Farm Landscapes Via the Tourism Sector. Economic and social review. 44(2). 221–245. 12 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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