Daniel Pollard

736 citations
26 papers · 253 · h-index 9

Impact in

Papers in

Daniel Pollard

24 papers receiving 248 citations

Peers

Daniel Pollard
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 141
  • Internal Medicine 14
  • Applied Psychology 13
  • Family Practice 5
  • General Health Professions 56
Replace Shalleen Barendse with:
Shalleen Barendse United Kingdom
Karianne Fjeld Løvaas Norway
Joël Cogneau France
Elaine Massaro United States
Monique A.M. Jacobs-van der Bruggen Netherlands
Tania Toma United Kingdom
Leslie Eiland United States
Sandra Serrano Martínez Spain
Mike Baxter United Kingdom
Anthony Pease Australia
Daniel Pollard relative to Shalleen Barendse United Kingdom Shalleen Barendse's profile →
Citations per field
00.5×
Shalleen Barendse · 1×
Citations per year

Countries citing papers authored by Daniel Pollard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pollard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202068
2 201828
3 202027
4 202023
5 202121
6 202118
7 201814
8 202113
9 202213
10 20245
11 20144
12 20163
13 20153
14 20172
15 20182
16 20191
17 20191
18 20231
19 20221
20
Pre-read document 1 : challenges in valuing and paying for combination regimens in oncology
20191

About Daniel Pollard

Daniel Pollard is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions, Economics and Econometrics, Physiology and Surgery, having authored 26 papers that have together received 253 indexed citations. Recurring topics across this work include Diabetes Management and Research (10 papers), Diabetes Management and Education (7 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Diabetes Treatment and Management (6 papers), Economic and Financial Impacts of Cancer (3 papers), Mobile Health and mHealth Applications (3 papers), Primary Care and Health Outcomes (3 papers) and Pharmaceutical Economics and Policy (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (141 citations), Internal Medicine (14 citations), Applied Psychology (13 citations), Family Practice (5 citations) and General Health Professions (56 citations). Daniel Pollard has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Alan Brennan, Simon Heller, Rebecca Upsher, Kirsty Winkley, Khalida Ismail, Daniel Ståhl, Hasan Basarir, Nicholas Latimer, Robyn L. Ward and Norman Waugh. Their work appears in journals such as Value in Health, Health Technology Assessment, BMJ Open, PharmacoEconomics and BMJ Open Diabetes Research & Care.

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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