Stephen Bishop

4.4k total citations
97 papers, 3.1k citations indexed

About

Stephen Bishop is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Stephen Bishop has authored 97 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Genetics, 25 papers in Animal Science and Zoology and 22 papers in Agronomy and Crop Science. Recurrent topics in Stephen Bishop's work include Genetic and phenotypic traits in livestock (46 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers) and Helminth infection and control (15 papers). Stephen Bishop is often cited by papers focused on Genetic and phenotypic traits in livestock (46 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers) and Helminth infection and control (15 papers). Stephen Bishop collaborates with scholars based in United Kingdom, Italy and Australia. Stephen Bishop's co-authors include John Woolliams, Ross D. Houston, D. R. Guy, Alastair Hamilton, John B. Taggart, A. E. Tinch, Alan Archibald, Natalie R Lowe, Oswald Matika and I. Kyriazakis and has published in prestigious journals such as PLoS ONE, Scientific Reports and Genetics.

In The Last Decade

Stephen Bishop

94 papers receiving 3.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephen Bishop 1.7k 779 647 529 509 97 3.1k
Oswald Matika 1.4k 0.8× 553 0.7× 433 0.7× 268 0.5× 363 0.7× 77 2.3k
Herman W. Raadsma 2.9k 1.7× 586 0.8× 689 1.1× 265 0.5× 702 1.4× 117 4.5k
Peer Berg 1.6k 0.9× 744 1.0× 541 0.8× 243 0.5× 592 1.2× 112 2.6k
S.C. Bishop 1.9k 1.1× 1.2k 1.5× 877 1.4× 280 0.5× 1.7k 3.3× 103 3.8k
Steve Bishop 1.5k 0.9× 905 1.2× 487 0.8× 188 0.4× 1.2k 2.4× 93 3.0k
Jørgen Ødegård 1.8k 1.0× 525 0.7× 506 0.8× 1.1k 2.0× 207 0.4× 123 3.2k
J.J. van der Poel 1.8k 1.0× 1.1k 1.4× 270 0.4× 671 1.3× 295 0.6× 91 3.2k
Steffen Weigend 2.4k 1.4× 2.4k 3.1× 411 0.6× 263 0.5× 198 0.4× 137 4.5k
Beatriz Villanueva 3.0k 1.7× 331 0.4× 442 0.7× 131 0.2× 139 0.3× 89 3.5k
B. L. Munday 592 0.3× 656 0.8× 169 0.3× 1.9k 3.6× 191 0.4× 142 4.2k

Countries citing papers authored by Stephen Bishop

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Bishop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Bishop

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

All Works

20 of 20 papers shown
2.
Pooley, C. M., Glenn Marion, Stephen Bishop, Richard I. Bailey, & Andrea Doeschl‐Wilson. (2020). Estimating individuals’ genetic and non-genetic effects underlying infectious disease transmission from temporal epidemic data. PLoS Computational Biology. 16(12). e1008447–e1008447. 14 indexed citations
3.
Pugh, Carys, Lindsay Farrell, Ailsa J Carlisle, et al.. (2019). Arginine to Glutamine Variant in Olfactomedin Like 3 ( OLFML3 ) Is a Candidate for Severe Goniodysgenesis and Glaucoma in the Border Collie Dog Breed. G3 Genes Genomes Genetics. 9(3). 943–954. 12 indexed citations
4.
5.
Bishop, Stephen. (2014). Disease Genetics: Successes, Challenges and Lessons Learnt. 1 indexed citations
6.
Bishop, Stephen & John Woolliams. (2014). Genomics and disease resistance studies in livestock. Livestock Science. 166. 190–198. 146 indexed citations
7.
Kemper, Kathryn E., Michael E. Goddard, & Stephen Bishop. (2013). Adaptation of gastrointestinal nematode parasites to host genotype: single locus simulation models. Genetics Selection Evolution. 45(1). 14–14. 15 indexed citations
8.
Goddard, Michael E., et al.. (2010). A simple model of worm adaption to livestock bred for improved worm resistance. Proceedings of the World Congress on Genetics Applied to Livestock Production. 164. 2 indexed citations
9.
Corbin, Laura J., Sarah Blott, June Swinburne, et al.. (2010). The impact of method on the estimated effective population size of a Thoroughbred population using genotype data. Bristol Research (University of Bristol). 456. 2 indexed citations
10.
Gubbins, Simon, et al.. (2009). Associations between lamb survival and prion protein genotype: analysis of data for ten sheep breeds in Great Britain. BMC Veterinary Research. 5(1). 3–3. 10 indexed citations
11.
Bishop, Stephen. (2007). Encyclopedia of Animal Science. 11 indexed citations
12.
Aït-Ali, Tahar, David G. Westcott, Martin Waterfall, et al.. (2007). Innate Immune Responses to Replication of Porcine Reproductive And Respiratory Syndrome Virus in Isolated Swine Alveolar Macrophages. Viral Immunology. 20(1). 105–118. 84 indexed citations
13.
Lewis, Craig, et al.. (2007). Genetic Perspectives on Host Responses to Porcine Reproductive and Respiratory Syndrome (PRRS). Viral Immunology. 20(3). 343–358. 61 indexed citations
14.
Matika, Oswald, et al.. (2006). Verifying quantitative trait loci for muscle depth in commercial terminal sire sheeep. 4 indexed citations
15.
Bishop, Stephen, et al.. (2006). Developing genetic epidemiological models for bacterial infections with environmental contamination.. 15–23. 1 indexed citations
16.
Houston, Ross D., D. R. Guy, Alastair Hamilton, et al.. (2006). Detection of major QTL affecting resistance to Infectious Pancreatic Necrosis (IPN) in a commercial atlantic salmon population.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 6 indexed citations
17.
Conington, J., N.R. Lambe, L. Bünger, et al.. (2006). Evaluation of responses to multi-trait selection indexes and genetic parameters for Computer Tomography-derived carcass traits in UK hill sheep.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 4–19. 2 indexed citations
18.
Bishop, Stephen, et al.. (2003). Genetic management strategies for controlling infectious diseases in livestock populations. Genetics Selection Evolution. 35(Suppl. 1). S3–S17. 2 indexed citations
19.
Bishop, Stephen. (1994). Strain comparisons and genetic parameters for cashmere goats.. Proceedings of the World Congress on Genetics applied to Livestock Production. 401–408. 1 indexed citations
20.
Hill, William G. & Stephen Bishop. (1986). Genetic control of growth, carcass composition and food utilization in laboratory animals.. Proceedings of the World Congress on Genetics applied to Livestock Production. 355–366. 3 indexed citations

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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