David R. Matthews

98.3k total citations · 20 hit papers
272 papers, 75.4k citations indexed

About

David R. Matthews is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, David R. Matthews has authored 272 papers receiving a total of 75.4k indexed citations (citations by other indexed papers that have themselves been cited), including 202 papers in Endocrinology, Diabetes and Metabolism, 76 papers in Surgery and 76 papers in Molecular Biology. Recurrent topics in David R. Matthews's work include Diabetes Treatment and Management (105 papers), Diabetes Management and Research (97 papers) and Metabolism, Diabetes, and Cancer (69 papers). David R. Matthews is often cited by papers focused on Diabetes Treatment and Management (105 papers), Diabetes Management and Research (97 papers) and Metabolism, Diabetes, and Cancer (69 papers). David R. Matthews collaborates with scholars based in United Kingdom, United States and Australia. David R. Matthews's co-authors include R. C. Turner, A. Rudenski, B A Naylor, J P Hosker, DF Treacher, Rury R. Holman, T. M. Wallace, J Lévy, H. A. W. Neil and M. Angelyn Bethel and has published in prestigious journals such as Nature, New England Journal of Medicine and The Lancet.

In The Last Decade

David R. Matthews

265 papers receiving 72.9k citations

Hit Papers

Homeostasis model assessment: insulin resistance and?-cel... 1985 2026 1998 2012 1985 2008 2017 2004 2012 5.0k 10.0k 15.0k 20.0k 25.0k

Peers

David R. Matthews
Comparison fields: 5 of 216
  • Endocrinology, Diabetes and Metabolism 44.0k
  • Molecular Biology 18.3k
  • Surgery 16.3k
  • Physiology 13.9k
  • Epidemiology 12.8k
Replace Steven M. Haffner with:
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Ele Ferrannini Italy
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Citations per field, relative to David R. Matthews
David R. Matthews · 1×
Citations per year, relative to David R. Matthews
David R. Matthews · 1×

Countries citing papers authored by David R. Matthews

Since Specialization
Citations

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

Fields of papers citing papers by David R. Matthews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David R. Matthews

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Matthews. A scholar is included among the top collaborators of David R. Matthews based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David R. Matthews. David R. Matthews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 22
3 27
4 53
5 115
6 29
7 56
8 59
9 101
10 1
11
Canagliflozin for Primary and Secondary Prevention of Cardiovascular Events breakdown →
375
12
The prevalence, predictors and associations of hypertension in Sri Lanka: A cross-sectional population based national survey
4
13 88
14 71
15 96
16 346
17 24
18 4
19 32
20 7

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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2026