Peter J Chilton

2.4k citations
18 papers · 1.5k · 2 hit papers · h-index 10

Impact in

Papers in

Peter J Chilton

18 papers receiving 1.4k citations

Peter J Chilton's Hit Papers

Use of traditional medicine in middle-income countries: a WHO-SAGE study 2016 · 259 citations
2590+3+7Years since publication250500750

Peers

Peter J Chilton
Comparison fields: 5 of 157
  • General Health Professions 399
  • Geriatrics and Gerontology 55
  • Emergency Medicine 127
  • Statistics and Probability 97
  • Statistics, Probability and Uncertainty 78
Replace O. Dale Williams with:
O. Dale Williams United States
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M P Eccles United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Peter J Chilton

Since Specialization
Citations

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

Fields of papers citing papers by Peter J Chilton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J Chilton. 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 Peter J Chilton. The network helps show where Peter J Chilton may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter J Chilton, 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 Peter J Chilton Line = papers co-authored together Peter J Chilton links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
The stepped wedge cluster randomised trial: rationale, design, analysis, and reporting
Hit paper breakdown →
2015828
2
Use of traditional medicine in middle-income countries: a WHO-SAGE study
Hit paper breakdown →
2016259
3 201084
4 201778
5 201356
6 201239
7 201224
8 201420
9 201417
10 201911
11 20129
12 20149
13 20169
14 20158
15 20194
16 20213
17 20203
18
Ambu aScope2 in unexpected difficult airways management. External Assessment Report
20121

About Peter J Chilton

Peter J Chilton is a scholar working on Economics and Econometrics, General Health Professions, Medical Laboratory Technology, Statistics, Probability and Uncertainty and Surgery, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (9 papers), Healthcare Policy and Management (7 papers), Healthcare cost, quality, practices (6 papers), Meta-analysis and systematic reviews (2 papers), Quality and Safety in Healthcare (2 papers), Renal Diseases and Glomerulopathies (1 paper), Endometriosis Research and Treatment (1 paper) and Trauma and Emergency Care Studies (1 paper). The work is most often cited by research in General Health Professions (399 citations), Geriatrics and Gerontology (55 citations), Emergency Medicine (127 citations), Statistics and Probability (97 citations) and Statistics, Probability and Uncertainty (78 citations). Peter J Chilton has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Richard Lilford, Alan Girling, Karla Hemming, Terry Haines, Ngianga‐Bakwin Kandala, Oyinlola Oyebode, Jemma Mytton, Felicity Evison, Paul Barach and Yen‐Fu Chen. Their work appears in journals such as BMJ Quality & Safety, BMJ, Health Technology Assessment, BMJ Global Health and Journal of Medical Ethics.

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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