W.S. Dingwall

915 citations
28 papers · 745 · h-index 13

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 17
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Reproductive Physiology in Livestock 11

W.S. Dingwall

27 papers receiving 699 citations

Peers

W.S. Dingwall
Comparison fields: 5 of 60
  • Agronomy and Crop Science 237
  • Animal Science and Zoology 155
  • Neurology 103
  • Genetics 305
  • Small Animals 73
Replace W. C. Foote with:
W. C. Foote United States
J.P. Poivey France
W.A.C. McKelvey United Kingdom
Olivier Andréoletti France
G Ricordeau France
Xunping Jiang China
Attila Zsolnai Hungary
Nigel P. Jay New Zealand
Bjørn Bratberg Norway
Lirong Hu China
W.S. Dingwall relative to W. C. Foote United States W. C. Foote's profile →
Citations per field
00.5×3.6×
W. C. Foote · 1×
Citations per year

Countries citing papers authored by W.S. Dingwall

Since Specialization
Citations

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

Fields of papers citing papers by W.S. Dingwall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.S. Dingwall. 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 W.S. Dingwall. The network helps show where W.S. Dingwall may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997153
2 2001109
3 198985
4 200471
5 200265
6 200257
7 199633
8 200233
9 200226
10 201124
11 199919
12
Scrapie genotype: a correlation with lean growth rate?
200213
13 198613
14 19977
15 19986
16 19936
17
Selection for improved carcass composition in Suffolk sheep.
19905
18 19985
19 19992
20 19972

About W.S. Dingwall

W.S. Dingwall is a scholar working on Genetics, Agronomy and Crop Science, Animal Science and Zoology, Public Health, Environmental and Occupational Health and Small Animals, having authored 28 papers that have together received 745 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (17 papers), Reproductive Physiology in Livestock (11 papers), Reproductive Biology and Fertility (7 papers), Animal Behavior and Welfare Studies (4 papers), Meat and Animal Product Quality (3 papers), Effects of Environmental Stressors on Livestock (3 papers), Prion Diseases and Protein Misfolding (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). The work is most often cited by research in Agronomy and Crop Science (237 citations), Animal Science and Zoology (155 citations), Neurology (103 citations), Genetics (305 citations) and Small Animals (73 citations). W.S. Dingwall has collaborated with scholars based in United Kingdom, Hungary and Australia. Frequent co-authors include G. Simm, R. M. Lewis, Nora Hunter, A. S. Greig, B. Hosie, G. C. Emmans, С. Мартин, Jill R. Thomson, M. Jeffrey and L. González. Their work appears in journals such as Animal Science, Theriogenology, Veterinary Record, Epidemiology and Infection and Animal Reproduction Science.

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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