Pippa Evans

416 citations
4 papers · 339 indexed · 1 hit paper · h-index 2

Pippa Evans

4 papers receiving 333 citations

Hit Papers

Use of generic and condition-specific measures of health-...3352014202620182022100200300

Peers

Pippa Evans
Comparison fields: 5 of 70
  • Economics and Econometrics 225
  • Geriatrics and Gerontology 15
  • General Health Professions 79
  • Ophthalmology 26
  • Statistics and Probability 16
Replace Javier Soto with:
Javier Soto Spain
Diane St. Germain United States
Bonny Parkinson Australia
Daniele Civello Germany
Stacey Fisher Canada
Costel Chirila United States
P. Hopwood United Kingdom
Helen Duffy United Kingdom
Sheela Upadhyaya United Kingdom
Anne Heyes United States
Pippa Evans relative to Javier Soto Spain Javier Soto's profile →
Citations per field
00.5×3.6×
Javier Soto · 1×
Citations per year

Countries citing papers authored by Pippa Evans

Since Specialization
Citations

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

Fields of papers citing papers by Pippa Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside Pippa Evans, 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 Pippa Evans Line = papers co-authored together Pippa Evans links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Use of generic and condition-specific measures of health-related quality of life in NICE decision-making: a systematic review, statistical modelling and surveybreakdown →
2014335
2
Mapping to EQ-5D
20141
3
Developing ‘bolt-on’ items to EQ-5D
20142
4 19551

About Pippa Evans

Pippa Evans is a scholar working on Management of Technology and Innovation, Reproductive Medicine, Industrial and Manufacturing Engineering, Rheumatology and Economics and Econometrics, having authored 4 papers that have together received 339 indexed citations. Recurring topics across this work include Sperm and Testicular Function (1 paper), Urologic and reproductive health conditions (1 paper), Economic and Environmental Valuation (1 paper), Product Development and Customization (1 paper), Manufacturing Process and Optimization (1 paper), Testicular diseases and treatments (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Economics and Econometrics (225 citations), Geriatrics and Gerontology (15 citations), General Health Professions (79 citations), Ophthalmology (26 citations) and Statistics and Probability (16 citations). Pippa Evans has collaborated with scholars based in United Kingdom. Frequent co-authors include Brendan Mulhern, Jonathan Tosh, Louise Longworth, Mónica Hernández Alava, Anju Keetharuth, Donna Rowen, Tracey Young, John Brazier, Yaling Yang and Clara Mukuria. Their work appears in journals such as Health Technology Assessment and The Lancet.

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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