David Wright

56 papers receiving 1.3k citations

Peers

David Wright
Comparison fields: 5 of 119
  • Geriatrics and Gerontology 35
  • Health Informatics 14
  • General Health Professions 223
  • Oncology 234
  • Statistics and Probability 71
Replace Milensu Shanyinde with:
Milensu Shanyinde United Kingdom
Isabella Locatelli Switzerland
John Dennis United Kingdom
Denis Agniel United States
Paul Chan Hong Kong
Giacomo Scaioli Italy
Chodziwadziwa Kabudula South Africa
David I. Shalowitz United States
Rafael Dal‐Ré Spain
Michael L. Green United States
David Wright relative to Milensu Shanyinde United Kingdom Milensu Shanyinde's profile →
Citations per field
00.5×1.5×2.4×
Milensu Shanyinde · 1×
Citations per year

Countries citing papers authored by David Wright

Since Specialization
Citations

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

Fields of papers citing papers by David Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009187
2 1990113
3 2006104
4 200675
5 200671
6 201070
7 201056
8 200754
9 200547
10 200639
11 200337
12 202035
13 200830
14 201729
15 201427
16 202021
17 201321
18 199021
19 202119
20 202318

About David Wright

David Wright is a scholar working on General Health Professions, Economics and Econometrics, Oncology, Pediatrics, Perinatology and Child Health and Sociology and Political Science, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (11 papers), Childhood Cancer Survivors' Quality of Life (7 papers), Cancer survivorship and care (6 papers), Statistical Methods in Clinical Trials (6 papers), Advanced Causal Inference Techniques (4 papers), COVID-19 and healthcare impacts (4 papers), Mental Health and Patient Involvement (4 papers) and Nutrition and Health in Aging (3 papers). The work is most often cited by research in Geriatrics and Gerontology (35 citations), Health Informatics (14 citations), General Health Professions (223 citations), Oncology (234 citations) and Statistics and Probability (71 citations). David Wright has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Jane B. Hopkinson, Claire Foster, Jessica Corner, Liz Roffe, Holly A. Hill, Richard F. Lockey, John W. McDonald, Dennis K. Ledford, Robert P. Nelson and Walter L. Trudeau. Their work appears in journals such as BMJ Open, Palliative Medicine, Pharmaceutical Statistics, Health Expectations and Trials.

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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