H. M. Gunn

609 citations
19 papers · 496 indexed · h-index 11
Topics
Veterinary Equine Medical Research (8 papers)Muscle metabolism and nutrition (6 papers)Sports Performance and Training (3 papers)

In The Last Decade

H. M. Gunn

19 papers receiving 445 citations

Peers

H. M. Gunn
Comparison fields: 5 of 73
  • Molecular Biology 179
  • Equine 102
  • Cell Biology 83
  • Agronomy and Crop Science 69
  • Biomedical Engineering 65
Replace F. J. Derksen with:
F. J. Derksen United States
Caroline Hahn United Kingdom
Keren E. Dittmer New Zealand
Ioana M. Sonea United States
A. S. Davies New Zealand
B. Vollmerhaus Germany
S. A. McKANE United Kingdom
Tim Greet United Kingdom
Anna M. Firshman United States
W. R. Cook United States
H. M. Gunn relative to F. J. Derksen United States F. J. Derksen's profile →
Citations per field
00.5×10×20×32.5×
F. J. Derksen · 1×
Citations per year

Countries citing papers authored by H. M. Gunn

Since Specialization
Citations

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

Fields of papers citing papers by H. M. Gunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. M. Gunn. 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 H. M. Gunn. The network helps show where H. M. Gunn may publish in the future.

Co-authorship network of co-authors of H. M. Gunn

This figure shows the co-authorship network connecting the top 25 collaborators of H. M. Gunn. A scholar is included among the top collaborators of H. M. Gunn 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 H. M. Gunn. H. M. Gunn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 47
2 62
3 5
4 7
5 18
6 8
7 11
8 4
9
Total fibre numbers in cross sections of the semitendinosus in athletic and non-athletic horses and dogs.
15
10 3
11
The mean fibre area of the semitendinosus, diaphragm and pectoralis transversus muscles in differing types of horse and dog.
11
12
Differences in the histochemical properties of skeletal muscles of different breeds of horses and dogs.
66
13 29
14 4
15 10
16 23
17
Histochemical fibre types in the mammalian diaphragm.
120
18 51
19 2

About H. M. Gunn

H. M. Gunn is a scholar working on Equine, Animal Science and Zoology and Developmental Biology, having authored 19 papers that have together received 496 indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (8 papers), Muscle metabolism and nutrition (6 papers) and Sports Performance and Training (3 papers). The work is most often cited by research in Equine (102 citations), Small Animals (56 citations) and Agronomy and Crop Science (69 citations). H. M. Gunn has collaborated with scholars based in Ireland, United Kingdom and New Zealand. Frequent co-authors include A. S. Davies, H. Bassett, Sylvie L. Benestad, Bernard Bradshaw, Damien Barrett, Michael L. Doherty, Simon J. More, D. A. Graham, John Fraher and J.D. Collins. Their work appears in journals such as Veterinary Parasitology, Veterinary Record and American Journal of Veterinary Research.

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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