Keith Tolley

2.1k citations
98 papers · 1.6k · h-index 26

Impact in

Papers in

Keith Tolley

94 papers receiving 1.5k citations

Peers

Keith Tolley
Comparison fields: 5 of 120
  • Hematology 283
  • Infectious Diseases 227
  • Economics and Econometrics 330
  • Genetics 90
  • General Health Professions 207
Replace Arjun Gupta with:
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Lisa K. Hicks Canada
Leon E. Cosler United States
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Marie Paule Schneider Switzerland
J. Craig Longenecker United States
Beth Woods United Kingdom
Elizabeth A. Middleton United States
Tido von Schoen-Angerer Switzerland
Kassam Mahomed Australia
Keith Tolley relative to Arjun Gupta United States Arjun Gupta's profile →
Citations per field
00.5×6.0×
Arjun Gupta · 1×
Citations per year

Countries citing papers authored by Keith Tolley

Since Specialization
Citations

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

Fields of papers citing papers by Keith Tolley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201486
2 199686
3 201273
4 199865
5 200265
6 200164
7 201349
8 201448
9 199245
10 201542
11 200840
12 201536
13 200432
14 199832
15 201531
16 199931
17 201329
18 199229
19 199129
20 201328

About Keith Tolley

Keith Tolley is a scholar working on Economics and Econometrics, General Health Professions, Endocrinology, Diabetes and Metabolism, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 98 papers that have together received 1.6k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (22 papers), Diabetes Treatment and Management (11 papers), Pharmaceutical Economics and Policy (10 papers), Healthcare Policy and Management (9 papers), Hemophilia Treatment and Research (8 papers), Pharmaceutical studies and practices (8 papers), HIV/AIDS Impact and Responses (7 papers) and Primary Care and Health Outcomes (6 papers). The work is most often cited by research in Hematology (283 citations), Infectious Diseases (227 citations), Economics and Econometrics (330 citations), Genetics (90 citations) and General Health Professions (207 citations). Keith Tolley has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Stefan Vegter, David K. Whynes, Caroline Sabin, Maarten J. Postma, Jane Wolstenholme, Eduard J. Beck, A Miners, Pam Gillies, Darrin Baines and Doug Coyle. Their work appears in journals such as Value in Health, PharmacoEconomics, AIDS, Health Policy and Clinical Therapeutics.

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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