Beth Woods

51 papers receiving 1.5k citations

Hit Papers

Country-Level Cost-Effectiveness Thresholds: Initial Estimates and the Need for Further Research 2016 · 574 citations
5742016202620192022100200300400500

Peers

Beth Woods
Comparison fields: 5 of 137
  • Economics and Econometrics 370
  • Statistics, Probability and Uncertainty 73
  • Statistics and Probability 82
  • Applied Microbiology and Biotechnology 20
  • Genetics 91
Replace Sarah Edwards with:
Sarah Edwards United Kingdom
Chantal Quinten Netherlands
Chris McCabe United Kingdom
Aliza K. Fink United States
Gord Blackhouse Canada
Sonja Sorensen United States
Daniel Grima Canada
Murtuza Bharmal United States
Leon Gordis United States
William Murk United States
Beth Woods relative to Sarah Edwards United Kingdom Sarah Edwards's profile →
Citations per field
00.5×4.5×
Sarah Edwards · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Beth Woods, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beth Woods Line = papers co-authored together Beth Woods links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Country-Level Cost-Effectiveness Thresholds: Initial Estimates and the Need for Further Research
Hit paper breakdown →
2016574
2 2010230
3 202088
4 201579
5 201756
6 201739
7 201438
8 200935
9 200928
10 201626
11 201522
12 202120
13 201219
14 201517
15 201615
16 201114
17 201314
18 201514
19 202114
20
New paradigms for medical decision support and education: the Stanford Health Information Network for Education.
199913

About Beth Woods

Beth Woods is a scholar working on Applied Microbiology and Biotechnology, Statistics, Probability and Uncertainty, Economics and Econometrics, Statistics and Probability and Genetics, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (19 papers), Meta-analysis and systematic reviews (9 papers), Antibiotic Use and Resistance (8 papers), Pharmaceutical Economics and Policy (8 papers), Global Maternal and Child Health (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Statistical Methods in Clinical Trials (5 papers). The work is most often cited by research in Economics and Econometrics (370 citations), Statistics, Probability and Uncertainty (73 citations), Statistics and Probability (82 citations), Applied Microbiology and Biotechnology (20 citations) and Genetics (91 citations). Beth Woods has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent 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. Their work appears in journals such as Value in Health, PharmacoEconomics, Health Technology Assessment, BMJ Global Health and BMC Medical Research Methodology.

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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