Beth Woods

2.4k total citations · 1 hit paper
59 papers, 1.5k citations indexed

About

Beth Woods is a scholar working on Economics and Econometrics, General Health Professions and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Beth Woods has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Economics and Econometrics, 9 papers in General Health Professions and 9 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Beth Woods's work include Health Systems, Economic Evaluations, Quality of Life (19 papers), Meta-analysis and systematic reviews (9 papers) and Antibiotic Use and Resistance (8 papers). Beth Woods is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (19 papers), Meta-analysis and systematic reviews (9 papers) and Antibiotic Use and Resistance (8 papers). Beth Woods collaborates with scholars based in United Kingdom, United States and Switzerland. Beth Woods's co-authors include Mark Sculpher, Karl Claxton, Paul Revill, Neil Hawkins, David A. Scott, E.G. Sideris, Stephen Palmer, Marta Soares, Nicholas Latimer and Stuart Mealing and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Beth Woods

51 papers receiving 1.5k citations

Hit Papers

Country-Level Cost-Effectiveness Thresholds: Initial Esti... 2016 2026 2019 2022 2016 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. Country-Level Cost-Effectiveness Thresholds: Initial Estimates and the Need for Further Research
    2016 574 citations Beth Woods, Paul Revill et al. Value in Health profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beth Woods United Kingdom 15 370 233 225 191 187 59 1.5k
Kaan Tunceli United States 23 445 1.2× 244 1.0× 245 1.1× 297 1.6× 336 1.8× 61 2.1k
Ewa Orlewska Poland 11 697 1.9× 136 0.6× 158 0.7× 161 0.8× 331 1.8× 51 1.7k
Simon Walker United Kingdom 22 593 1.6× 148 0.6× 104 0.5× 224 1.2× 410 2.2× 100 1.7k
Nicola Magrini Italy 19 410 1.1× 164 0.7× 147 0.7× 301 1.6× 298 1.6× 51 2.0k
Yu‐Tung Huang Taiwan 21 159 0.4× 192 0.8× 108 0.5× 246 1.3× 163 0.9× 144 1.6k
Pablo Lázaro Spain 28 308 0.8× 144 0.6× 325 1.4× 378 2.0× 179 1.0× 127 2.4k
Kamal Sud Australia 26 197 0.5× 340 1.5× 151 0.7× 377 2.0× 236 1.3× 143 2.6k
Sudeep Karve United States 20 243 0.7× 154 0.7× 125 0.6× 106 0.6× 82 0.4× 63 1.5k
Stephanie Earnshaw United States 23 394 1.1× 129 0.6× 79 0.4× 243 1.3× 124 0.7× 66 1.4k
Chloe Morozoff United States 10 194 0.5× 137 0.6× 202 0.9× 81 0.4× 406 2.2× 18 1.3k

Countries citing papers authored by Beth Woods

Since Specialization
Citations

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

Fields of papers citing papers by Beth Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beth Woods

This figure shows the co-authorship network connecting the top 25 collaborators of Beth Woods. A scholar is included among the top collaborators of Beth Woods 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 Beth Woods. Beth Woods 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
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Nikolaidis, Georgios F., Beth Woods, Stephen Palmer, Sylwia Bujkiewicz, & Marta Soares. (2025). Methods for information-sharing in network meta-analysis: Implications for inference and policy. Research Synthesis Methods. 16(2). 291–307.
3.
Woods, Beth, Renske M.T. ten Ham, & Karl Claxton. (2025). Equitable access to costly new drugs. BMJ. 391. r2292–r2292.
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Woods, Beth, Dina Janković, Benjamin Kearns, et al.. (2024). Cefiderocol for treating severe aerobic Gram-negative bacterial infections: technology evaluation to inform a novel subscription-style payment model. Health Technology Assessment. 28(28). 1–238. 3 indexed citations
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Cox, Edward, Rita Faria, Pedro Saramago, et al.. (2024). Challenges and opportunities for identifying people with familial hypercholesterolemia in the UK: Evidence from the National FH PASS database. Journal of clinical lipidology. 18(6). e1046–e1054. 2 indexed citations
8.
Howard, Alex, Stephen Aston, Beth Woods, et al.. (2023). Antimicrobial treatment imprecision: an outcome-based model to close the data-to-action loop. The Lancet Infectious Diseases. 24(1). e47–e58. 3 indexed citations
9.
Qureshi, Nadeem, Beth Woods, Rita Faria, et al.. (2023). Alternative cascade-testing protocols for identifying and managing patients with familial hypercholesterolaemia: systematic reviews, qualitative study and cost-effectiveness analysis. Health Technology Assessment. 27(16). 1–140. 2 indexed citations
10.
Woods, Beth, E.G. Sideris, Stephen Palmer, Nicholas Latimer, & Marta Soares. (2020). Partitioned Survival and State Transition Models for Healthcare Decision Making in Oncology: Where Are We Now?. Value in Health. 23(12). 1613–1621. 88 indexed citations
11.
Woods, Beth. (2016). PARTITIONED SURVIVAL ANALYSIS: A CRITICAL REVIEW OF THE APPROACH AND APPLICATION TO DECISION MODELLING IN HEALTH CARE. 2 indexed citations
12.
Bryden, Peter, et al.. (2016). Cost-Effectiveness of Eltrombopag versus Romiplostim for the Treatment of Chronic Immune Thrombocytopenia in England and Wales. Value in Health. 19(5). 614–622. 15 indexed citations
13.
Woods, Beth, Paul Revill, Mark Sculpher, & Karl Claxton. (2016). Country-Level Cost-Effectiveness Thresholds: Initial Estimates and the Need for Further Research. Value in Health. 19(8). 929–935. 574 indexed citations breakdown →
14.
Hawkins, Neil, David A. Scott, & Beth Woods. (2015). ‘Arm‐based’ parameterization for network meta‐analysis. Research Synthesis Methods. 7(3). 306–313. 22 indexed citations
15.
Woods, Beth, Lisa M. Hess, Joseph Treat, et al.. (2015). Cost-effectiveness of first-line induction and maintenance treatment sequences in non-squamous non-small cell lung cancer (NSCLC) in the U.S.. Lung Cancer. 89(3). 294–300. 17 indexed citations
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Quigley, Joan, Beth Woods, J.C. Thompson, Peter Bryden, & David A. Scott. (2013). Confronting Heterogeneity: Using Systematic Review Effectively for Meta-Analysis. Value in Health. 16(7). A612–A612. 7 indexed citations
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Woods, Beth, David L. Veenstra, & Neil Hawkins. (2011). Prioritizing Pharmacogenetic Research: A Value of Information Analysis of CYP2D6 Testing to Guide Breast Cancer Treatment. Value in Health. 14(8). 989–1001. 12 indexed citations
20.
Hawkins, Neil, David A. Scott, Beth Woods, & Nicholas Thatcher. (2009). No Study Left Behind: A Network Meta-Analysis in Non–Small-Cell Lung Cancer Demonstrating the Importance of Considering All Relevant Data. Value in Health. 12(6). 996–1003. 35 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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