David Dewhurst

1.0k citations
66 papers · 753 · h-index 15

Impact in

Papers in

David Dewhurst

58 papers receiving 651 citations

Peers

David Dewhurst
Comparison fields: 5 of 140
  • Computer Science Applications 68
  • Education 334
  • Small Animals 83
  • Developmental and Educational Psychology 111
  • Family Practice 15
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Citations per field
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Citations per year

Countries citing papers authored by David Dewhurst

Since Specialization
Citations

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

Fields of papers citing papers by David Dewhurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199490
2 200074
3
Game-Informed Learning: Applying Computer Game Processes to Higher Education
200552
4 200332
5 199929
6 199820
7 200720
8
Transforming Professional Healthcare Narratives into Structured Game-Informed-Learning Activities
200716
9 200916
10
Alternatives to animal experimentation in biomedical education.
200416
11 197816
12 198816
13 200615
14 199415
15 198814
16 201113
17 199213
18
Is it possible to meet the learning objectives of undergraduate pharmacology classes with non-animal models?
200813
19
The value of 6-phosphogluconate dehydrogenase (6-PGDH) activity as a marker of tumour cellularity and prognostic indicator in primary breast cancer.
198613
20 199513

About David Dewhurst

David Dewhurst is a scholar working on Education, Biomedical Engineering, Developmental and Educational Psychology, Small Animals and Molecular Biology, having authored 66 papers that have together received 753 indexed citations. Recurring topics across this work include Innovative Teaching Methods (13 papers), Biomedical and Engineering Education (9 papers), Problem and Project Based Learning (8 papers), Innovative Teaching and Learning Methods (8 papers), Animal testing and alternatives (7 papers), Animal and Plant Science Education (6 papers), Innovations in Medical Education (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Computer Science Applications (68 citations), Education (334 citations), Small Animals (83 citations), Developmental and Educational Psychology (111 citations) and Family Practice (15 citations). David Dewhurst has collaborated with scholars based in United Kingdom, United States and Serbia. Frequent co-authors include Hamish Macleod, Rachel Ellaway, Michael Begg, J Hardcastle, P T Hardcastle, Anthony Meehan, Guy J. Brown, Allan D. Cumming, Franz Gruber and Susan D. Brain. Their work appears in journals such as Alternatives to Laboratory Animals, Journal of Biological Education, British Journal of Pharmacology, Computers & Education and Research in Learning Technology.

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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