James Lomas

1.9k total citations
43 papers, 1.1k citations indexed

About

James Lomas is a scholar working on General Health Professions, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, James Lomas has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in General Health Professions, 36 papers in Economics and Econometrics and 3 papers in Sociology and Political Science. Recurrent topics in James Lomas's work include Health Systems, Economic Evaluations, Quality of Life (33 papers), Global Health Care Issues (28 papers) and Healthcare Policy and Management (21 papers). James Lomas is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (33 papers), Global Health Care Issues (28 papers) and Healthcare Policy and Management (21 papers). James Lomas collaborates with scholars based in United Kingdom, United States and Netherlands. James Lomas's co-authors include Karl Claxton, Jessica Ochalek, Stephen Martin, David J. Vanness, Nigel Rice, Andrew M. Jones, Gerry Veenstra, Matthew Franklin, Marta Soares and Henry Cutler and has published in prestigious journals such as The Lancet, Annals of Internal Medicine and BMJ.

In The Last Decade

James Lomas

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Lomas United Kingdom 17 540 442 143 99 98 43 1.1k
John Kyriopoulos Greece 18 408 0.8× 538 1.2× 139 1.0× 58 0.6× 230 2.3× 135 1.4k
Jessica Ochalek United Kingdom 12 327 0.6× 220 0.5× 120 0.8× 101 1.0× 50 0.5× 28 647
Kees de Joncheere Switzerland 14 787 1.5× 217 0.5× 190 1.3× 82 0.8× 55 0.6× 23 1.3k
Trude Arnesen Norway 17 337 0.6× 258 0.6× 236 1.7× 223 2.3× 112 1.1× 33 940
Sherry Merkur United Kingdom 13 321 0.6× 453 1.0× 106 0.7× 33 0.3× 98 1.0× 23 998
Jiaying Chen China 19 313 0.6× 339 0.8× 160 1.1× 116 1.2× 157 1.6× 66 1.2k
Richard Huan Xu Hong Kong 19 334 0.6× 355 0.8× 91 0.6× 81 0.8× 201 2.1× 96 1.0k
Adam Gaffney United States 19 256 0.5× 378 0.9× 91 0.6× 37 0.4× 125 1.3× 69 1.0k
Alireza Olyaeemanesh Iran 16 387 0.7× 353 0.8× 81 0.6× 87 0.9× 75 0.8× 112 1.2k
Andrés Pichón-Rivière Argentina 23 450 0.8× 316 0.7× 249 1.7× 54 0.5× 171 1.7× 122 1.4k

Countries citing papers authored by James Lomas

Since Specialization
Citations

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

Fields of papers citing papers by James Lomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Lomas

This figure shows the co-authorship network connecting the top 25 collaborators of James Lomas. A scholar is included among the top collaborators of James Lomas 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 James Lomas. James Lomas 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.
Claxton, Karl, et al.. (2025). Does Publicly‐Funded Adult Social Care Impact Informal and Unpaid Carers' Quality of Life in England?. Health Economics. 34(7). 1217–1238.
2.
3.
Claxton, Karl, et al.. (2024). Unpacking the care‐related quality of life effect of England's publicly funded adult social care. A panel data analysis. Health Economics. 34(2). 246–266. 1 indexed citations
4.
Martin, Stephen, et al.. (2023). The impact of different types of NHS expenditure on health: Marginal cost per QALY estimates for England for 2016/17. Health Policy. 132. 104800–104800. 9 indexed citations
5.
Lomas, James, et al.. (2023). How Uncertainty Matters Under Risk Neutrality. Value in Health. 26(8). 1151–1154. 1 indexed citations
6.
Hinde, Sebastian, et al.. (2022). Health Inequalities: To What Extent are Decision-Makers and Economic Evaluations on the Same Page? An English Case Study. Applied Health Economics and Health Policy. 20(6). 793–802. 5 indexed citations
7.
Howdon, Daniel, Sebastian Hinde, James Lomas, & Matthew Franklin. (2022). Economic Evaluation Evidence for Resource-Allocation Decision Making: Bridging the Gap for Local Decision Makers Using English Case Studies. Applied Health Economics and Health Policy. 20(6). 783–792. 11 indexed citations
8.
Lomas, James, et al.. (2022). NICE’s new methods: putting innovation first, but at what cost?. BMJ. 379. e071974–e071974. 11 indexed citations
9.
Martin, Stephen, et al.. (2021). Causal impact of social care, public health and healthcare expenditure on mortality in England: cross-sectional evidence for 2013/2014. BMJ Open. 11(10). e046417–e046417. 20 indexed citations
10.
Martin, Stephen, et al.. (2021). How Effective is Marginal Healthcare Expenditure? New Evidence from England for 2003/04 to 2012/13. Applied Health Economics and Health Policy. 19(6). 885–903. 21 indexed citations
11.
Lomas, James, Jessica Ochalek, & Rita Faria. (2021). Avoiding Opportunity Cost Neglect in Cost-Effectiveness Analysis for Health Technology Assessment. Applied Health Economics and Health Policy. 20(1). 13–18. 11 indexed citations
12.
Martin, Stephen, James Lomas, & Karl Claxton. (2020). Is an ounce of prevention worth a pound of cure? A cross-sectional study of the impact of English public health grant on mortality and morbidity. BMJ Open. 10(10). e036411–e036411. 27 indexed citations
13.
Ochalek, Jessica, Haiyin Wang, Yuanyuan Gu, et al.. (2020). Informing a Cost-Effectiveness Threshold for Health Technology Assessment in China: A Marginal Productivity Approach. PharmacoEconomics. 38(12). 1319–1331. 58 indexed citations
14.
Ochalek, Jessica & James Lomas. (2020). Reflecting the Health Opportunity Costs of Funding Decisions Within Value Frameworks: Initial Estimates and the Need for Further Research. Clinical Therapeutics. 42(1). 44–59.e2. 15 indexed citations
15.
Franklin, Matthew, James Lomas, & Gerry Richardson. (2020). Conducting Value for Money Analyses for Non-randomised Interventional Studies Including Service Evaluations: An Educational Review with Recommendations. PharmacoEconomics. 38(7). 665–681. 8 indexed citations
16.
Franklin, Matthew, James Lomas, Simon Walker, & Tracey Young. (2019). An Educational Review About Using Cost Data for the Purpose of Cost-Effectiveness Analysis. PharmacoEconomics. 37(5). 631–643. 35 indexed citations
17.
Howdon, Daniel, James Lomas, & Mike Paulden. (2019). Implications of Nonmarginal Budgetary Impacts in Health Technology Assessment: A Conceptual Model. Value in Health. 22(8). 891–897. 6 indexed citations
18.
Lomas, James. (2019). Incorporating Affordability Concerns Within Cost-Effectiveness Analysis for Health Technology Assessment. Value in Health. 22(8). 898–905. 20 indexed citations
19.
Lomas, James, Miqdad Asaria, Laura Bojke, et al.. (2018). Which Costs Matter? Costs Included in Economic Evaluation and their Impact on Decision Uncertainty for Stable Coronary Artery Disease. PharmacoEconomics - Open. 2(4). 403–413. 6 indexed citations
20.
Lomas, James, Sally Jones, Elizabeth J Bates, et al.. (2016). A pharmacoeconomic approach to assessing the costs and benefits of air quality interventions that improve health: a case study. BMJ Open. 6(6). e010686–e010686. 16 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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