Ben Canny

443 citations
22 papers · 300 · h-index 9

Impact in

Papers in

Ben Canny

21 papers receiving 289 citations

Peers

Ben Canny
Comparison fields: 5 of 90
  • Behavioral Neuroscience 34
  • Reproductive Medicine 52
  • Health Informatics 6
  • Health, Toxicology and Mutagenesis 59
  • Family Practice 9
Replace Marianne O'Neill Rasor with:
Marianne O'Neill Rasor United States
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Heather Jean Taylor United States
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Citations per field
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Citations per year

Countries citing papers authored by Ben Canny

Since Specialization
Citations

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

Fields of papers citing papers by Ben Canny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200546
2 201743
3 202035
4 202032
5 199027
6 201024
7 199721
8 201920
9 199611
10 20056
11 20186
12 20156
13 20185
14 20214
15
The Australian Medical Assessment Collaboration: developing the foundations for a national assessment of medical student learning outcomes
20124
16
Securing an interprofessional future for Australian health professional education and practice
20203
17 20242
18
High doses of leptin can reduce food intake in sheep whilst not affecting the secretion of pituitary hormones
19982
19 20241
20
Governance models for collaborations involving assessment
20141

About Ben Canny

Ben Canny is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Health, Toxicology and Mutagenesis, Behavioral Neuroscience and Reproductive Medicine, having authored 22 papers that have together received 300 indexed citations. Recurring topics across this work include Medical Education and Admissions (5 papers), Innovations in Medical Education (5 papers), Healthcare cost, quality, practices (5 papers), Climate Change and Health Impacts (5 papers), Stress Responses and Cortisol (4 papers), Global Health Care Issues (3 papers), Global Health Workforce Issues (2 papers) and Hypothalamic control of reproductive hormones (2 papers). The work is most often cited by research in Behavioral Neuroscience (34 citations), Reproductive Medicine (52 citations), Health Informatics (6 citations), Health, Toxicology and Mutagenesis (59 citations) and Family Practice (9 citations). Ben Canny has collaborated with scholars based in Australia, United States and South Africa. Frequent co-authors include Martin Hensher, Craig Zimitat, Glenn K. McConell, Robert S. Lee, Glenn D. Wadley, Robert P. Millar, Andrew Palmer, Iain J. Clarke, Julie A. Campbell and Vicky Tobin. Their work appears in journals such as Medical Teacher, Endocrinology, Health Economics Policy and Law, Endocrine Connections and Medical Education.

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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