A. R. Sayers

2.5k citations
54 papers · 1.9k indexed · h-index 27

A. R. Sayers

54 papers receiving 1.8k citations

Peers

A. R. Sayers
Comparison fields: 5 of 92
  • Endocrinology 275
  • Food Science 947
  • Animal Science and Zoology 371
  • Agronomy and Crop Science 334
  • Biotechnology 274
Replace Robert J. Eckroade with:
Robert J. Eckroade United States
Alex Bossers Netherlands
L.T. Gama Portugal
Jiřı́ Volf Czechia
Brian W. Brunelle United States
Kazumi Sasai Japan
P.S. Holt United States
Peter S. Holt United States
Philippe Velge France
Nancy M. C. Bleumink‐Pluym Netherlands
A. R. Sayers relative to Robert J. Eckroade United States Robert J. Eckroade's profile →
Citations per field
00.5×3.7×
Robert J. Eckroade · 1×
Citations per year

Countries citing papers authored by A. R. Sayers

Since Specialization
Citations

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

Fields of papers citing papers by A. R. Sayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. R. Sayers. 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 A. R. Sayers. The network helps show where A. R. Sayers may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20139
2 201115
3 20109
4 200926
5 200919
6 200930
7 200926
8 200865
9 2007107
10 200514
11 200511
12 200440
13 200329
14 2001154
15 200112
16 200069
17 2000212
18 199951
19 199841
20
Evaluation of Shugor, Dubasi and Watish subtypes of Sudan Desert sheep at the El-Huda National Sheep Research Station, Gezira Province, Sudan.
199013

About A. R. Sayers

A. R. Sayers is a scholar working on Endocrinology, Agronomy and Crop Science, Food Science, Animal Science and Zoology and Management, Monitoring, Policy and Law, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (18 papers), Animal Disease Management and Epidemiology (10 papers), Viral gastroenteritis research and epidemiology (7 papers), Prion Diseases and Protein Misfolding (7 papers), Rangeland Management and Livestock Ecology (7 papers), Escherichia coli research studies (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Trace Elements in Health (6 papers). The work is most often cited by research in Endocrinology (275 citations), Food Science (947 citations), Animal Science and Zoology (371 citations), Agronomy and Crop Science (334 citations) and Biotechnology (274 citations). A. R. Sayers has collaborated with scholars based in United Kingdom, United States and Kenya. Frequent co-authors include S. J. Evans, M.J. Woodward, R. H. Davies, S. J. S. Pascoe, Robert Davies, Roberto M. La Ragione, Juan Carrique‐Mas, J. C. Gibbens, Martin J. Woodward and Christie Peacock. Their work appears in journals such as Veterinary Record, Epidemiology and Infection, BMC Veterinary Research, Journal of Applied Microbiology and Veterinary Microbiology.

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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