William Dunn

92 papers receiving 2.2k citations

Hit Papers

Educational strategies in curriculum development: the SPICES model 1984 · 536 citations
5361984202619982012100200300400500

Peers

William Dunn
Comparison fields: 5 of 174
  • Family Practice 153
  • Endocrine and Autonomic Systems 196
  • Physiology 122
  • Obstetrics and Gynecology 184
  • Biochemistry 167
Replace Alexandre Vallée with:
Alexandre Vallée France
John J. Nolan Ireland
Ronald N. Cortright United States
Robert H. McDonald United States
Robert Walton United Kingdom
Maria Hägglund Sweden
D. Scott Lind United States
Jia Guo China
Petra J. Lewis United States
William L. Clarke United States
William Dunn relative to Alexandre Vallée France Alexandre Vallée's profile →
Citations per field
00.5×10×20×30×43.5×
Alexandre Vallée · 1×
Citations per year

Countries citing papers authored by William Dunn

Since Specialization
Citations

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

Fields of papers citing papers by William Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Educational strategies in curriculum development: the SPICES model
Hit paper breakdown →
1984536
2 200290
3 198586
4 201778
5 201564
6 200262
7 199460
8 199958
9 199757
10 198651
11 200749
12 201049
13 201549
14 199647
15 200344
16 200543
17 201242
18 199841
19 199939
20 201539

About William Dunn

William Dunn is a scholar working on Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine, Education and Surgery, having authored 95 papers that have together received 2.4k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (23 papers), Receptor Mechanisms and Signaling (12 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (10 papers), Neuroscience of respiration and sleep (9 papers), Renin-Angiotensin System Studies (8 papers), Innovations in Medical Education (8 papers), Eicosanoids and Hypertension Pharmacology (7 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Family Practice (153 citations), Endocrine and Autonomic Systems (196 citations), Physiology (122 citations), Obstetrics and Gynecology (184 citations) and Biochemistry (167 citations). William Dunn has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include R. M. Harden, Vera Ralevic, V.G. Wilson, David Hamilton, Philip N. Baker, Ronald M. Harden, J.C. McGrath, Sheila M. Gardiner, Michael D. Randall and James A. Brock. Their work appears in journals such as British Journal of Pharmacology, European Journal of Pharmacology, Medical Education, Medical Teacher and Journal of Hypertension.

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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