Martin Cake

61 papers receiving 1.9k citations

Peers

Martin Cake
Comparison fields: 5 of 138
  • Rheumatology 894
  • Speech and Hearing 316
  • Equine 65
  • Orthopedics and Sports Medicine 180
  • Surgery 474
Replace Sanaa Zaki with:
Sanaa Zaki Australia
Janny C. de Grauw Netherlands
Rustin M. Moore United States
Florien Jenner Austria
Harold Brommer Netherlands
Nicholas C. Avery United Kingdom
J. S. Price United Kingdom
Christine L. Theoret Canada
A. J. Palfrey United Kingdom
Annette M. McCoy United States
Martin Cake relative to Sanaa Zaki Australia Sanaa Zaki's profile →
Citations per field
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Sanaa Zaki · 1×
Citations per year

Countries citing papers authored by Martin Cake

Since Specialization
Citations

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

Fields of papers citing papers by Martin Cake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010174
2 2011157
3 2002150
4 2006135
5 2005115
6 200093
7 200882
8 201681
9 200571
10 201565
11 201562
12 201752
13 201251
14 201446
15 200741
16 200739
17 200538
18 201238
19 200936
20 200536

About Martin Cake

Martin Cake is a scholar working on Speech and Hearing, Rheumatology, Genetics, Public Health, Environmental and Occupational Health and Surgery, having authored 63 papers that have together received 2.0k indexed citations. Recurring topics across this work include Veterinary Practice and Education Studies (19 papers), Osteoarthritis Treatment and Mechanisms (16 papers), Innovations in Medical Education (10 papers), Human-Animal Interaction Studies (5 papers), Genetic and phenotypic traits in livestock (5 papers), Veterinary Orthopedics and Neurology (5 papers), Meat and Animal Product Quality (5 papers) and Knee injuries and reconstruction techniques (3 papers). The work is most often cited by research in Rheumatology (894 citations), Speech and Hearing (316 citations), Equine (65 citations), Orthopedics and Sports Medicine (180 citations) and Surgery (474 citations). Martin Cake has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include R. A. Read, Christopher B. Little, Margaret M. Smith, P. Ghosh, Susan M. Smith, R. W. READ, James Melrose, Caroline Mansfield, Daniel B. Burkhardt and Richard Appleyard. Their work appears in journals such as Osteoarthritis and Cartilage, Journal of Veterinary Medical Education, Veterinary Record, Frontiers in Veterinary Science and Histochemistry and Cell Biology.

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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