Alison Smith

1.1k total citations · 1 hit paper
23 papers, 708 citations indexed

About

Alison Smith is a scholar working on Economics and Econometrics, Otorhinolaryngology and Surgery. According to data from OpenAlex, Alison Smith has authored 23 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Economics and Econometrics, 4 papers in Otorhinolaryngology and 3 papers in Surgery. Recurrent topics in Alison Smith's work include Health Systems, Economic Evaluations, Quality of Life (8 papers), Head and Neck Cancer Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Alison Smith is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (8 papers), Head and Neck Cancer Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Alison Smith collaborates with scholars based in United Kingdom, Australia and Canada. Alison Smith's co-authors include Peter Hall, Claire Hulme, Janet Dunn, Hisham Mehanna, Joy K Rahman, Max Robinson, A. Hartley, Christopher C. McConkey, Sandra Ventorin von Zeidler and Wai‐Lup Wong and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and British Journal of Cancer.

In The Last Decade

Alison Smith

23 papers receiving 693 citations

Hit Papers

PET-CT Surveillance versus Neck Dissection in Advanced He... 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
Alison Smith United Kingdom 11 367 239 183 158 148 23 708
Noam A. VanderWalde United States 16 225 0.6× 247 1.0× 64 0.3× 242 1.5× 269 1.8× 48 822
Colin T. Murphy United States 12 357 1.0× 266 1.1× 78 0.4× 324 2.1× 299 2.0× 22 786
Jonathan Klein United States 14 154 0.4× 215 0.9× 168 0.9× 247 1.6× 199 1.3× 40 900
Santam Chakraborty India 15 128 0.3× 245 1.0× 107 0.6× 244 1.5× 213 1.4× 79 688
Dion Forstner Australia 16 202 0.6× 89 0.4× 278 1.5× 183 1.2× 132 0.9× 42 629
Sewit Teckie United States 15 138 0.4× 121 0.5× 72 0.4× 131 0.8× 190 1.3× 39 514
Lisa Chaiken United States 7 267 0.7× 174 0.7× 321 1.8× 158 1.0× 201 1.4× 12 672
Peijin Han United States 13 109 0.3× 76 0.3× 237 1.3× 149 0.9× 100 0.7× 44 566
Arif Jamshed Pakistan 17 246 0.7× 269 1.1× 66 0.4× 126 0.8× 327 2.2× 85 838
Amit Jethanandani United States 12 109 0.3× 74 0.3× 112 0.6× 115 0.7× 159 1.1× 28 513

Countries citing papers authored by Alison Smith

Since Specialization
Citations

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

Fields of papers citing papers by Alison Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alison Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Alison Smith. A scholar is included among the top collaborators of Alison Smith 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 Smith. Alison Smith 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.
Jones, Graham, Katy Bell, Ferruccio Ceriotti, et al.. (2024). Applying the Milan models to setting analytical performance specifications – considering all the information. Clinical Chemistry and Laboratory Medicine (CCLM). 62(8). 1531–1537. 4 indexed citations
2.
3.
Messenger, Michael, et al.. (2021). Integrating Early Economic Evaluation into Target Product Profile development for medical tests: advantages and potential applications. International Journal of Technology Assessment in Health Care. 37(1). e68–e68. 4 indexed citations
4.
Loh, Tze Ping, Alison Smith, Katy Bell, et al.. (2021). Setting analytical performance specifications using HbA1c as a model measurand. Clinica Chimica Acta. 523. 407–414. 9 indexed citations
6.
Smith, Alison. (2020). Political Party Membership in New Democracies. 3 indexed citations
7.
Abel, Lucy, Bethany Shinkins, Alison Smith, et al.. (2019). Early Economic Evaluation of Diagnostic Technologies: Experiences of the NIHR Diagnostic Evidence Co-operatives. Medical Decision Making. 39(7). 857–866. 23 indexed citations
8.
Smith, Alison, et al.. (2018). The Role of Measurement Uncertainty in Health Technology Assessments (HTAs) of In Vitro Tests. PharmacoEconomics. 36(7). 823–835. 2 indexed citations
9.
Smith, Alison, et al.. (2017). The incorporation of data on pre-analytical and analytical factors in model-based Health Technology Assessments(HTAs) of medical tests: a systematic review protocol. RePEc: Research Papers in Economics. 1 indexed citations
10.
Smith, Alison, Peter Hall, Claire Hulme, et al.. (2017). Cost-effectiveness analysis of PET-CT-guided management for locally advanced head and neck cancer. European Journal of Cancer. 85. 6–14. 27 indexed citations
11.
Harward, Meg, Alison Smith, & Leanne M. Aitken. (2017). Inconsistent VAP definitions raise questions of usefulness. Australian Critical Care. 31(1). 54–55. 1 indexed citations
12.
Hall, Peter, Alison Smith, Claire Hulme, et al.. (2017). Value of Information Analysis of Multiparameter Tests for Chemotherapy in Early Breast Cancer: The OPTIMA Prelim Trial. Value in Health. 20(10). 1311–1318. 35 indexed citations
14.
Rice, Stephen, Alison Smith, Mark Rodgers, et al.. (2016). The Clinical and Cost Effectiveness of Ustekinumab for the Treatment of Psoriatic Arthritis: A Critique of the Evidence. PharmacoEconomics. 34(4). 337–348. 3 indexed citations
15.
Mehanna, Hisham, Wai‐Lup Wong, Christopher C. McConkey, et al.. (2016). PET-CT Surveillance versus Neck Dissection in Advanced Head and Neck Cancer. New England Journal of Medicine. 374(15). 1444–1454. 384 indexed citations breakdown →
16.
Hall, Peter, Patrick Hamilton, Claire Hulme, et al.. (2015). Costs of cancer care for use in economic evaluation: a UK analysis of patient-level routine health system data. British Journal of Cancer. 112(5). 948–956. 49 indexed citations
18.
Smith, Alison, Peter Hall, John O’Dwyer, et al.. (2015). Modelling cost-effectiveness and value of information in clinical trials to inform stop go decisions: results from the arctic study. Trials. 16(S2). 11 indexed citations
19.
Smith, Alison, Peter Hall, Claire Hulme, et al.. (2015). Is PET-CT guided management for patients with locally advanced head and neck squamous cell cancer (HNSCC) cost-effective? Results from a UK non-inferiority phase III randomized trial.. Journal of Clinical Oncology. 33(15_suppl). 6010–6010. 1 indexed citations
20.
Hall, Peter, Alison Smith, Claire Hulme, et al.. (2015). The use of early decision modelling and value of information analysis in an adaptive trial design: results from the OPTIMA preliminary study. Trials. 16(S2). 2 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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