G. Sayers

1.1k total citations
30 papers, 748 citations indexed

About

G. Sayers is a scholar working on Small Animals, Animal Science and Zoology and Parasitology. According to data from OpenAlex, G. Sayers has authored 30 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Small Animals, 14 papers in Animal Science and Zoology and 10 papers in Parasitology. Recurrent topics in G. Sayers's work include Helminth infection and control (16 papers), Coccidia and coccidiosis research (8 papers) and Parasite Biology and Host Interactions (8 papers). G. Sayers is often cited by papers focused on Helminth infection and control (16 papers), Coccidia and coccidiosis research (8 papers) and Parasite Biology and Host Interactions (8 papers). G. Sayers collaborates with scholars based in Ireland, Türkiye and United Kingdom. G. Sayers's co-authors include Torres Sweeney, R. Sayers, Orçun Haçarız, Margaret Good, Grace Mulcahy, J. P. Hanrahan, Barbara Good, Marion T. Ryan, Ahmet Tarık Baykal and Mairead L. Bermingham and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Dairy Science.

In The Last Decade

G. Sayers

27 papers receiving 738 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Sayers Ireland 17 441 232 190 187 150 30 748
Stewart T. G. Burgess United Kingdom 18 288 0.7× 263 1.1× 68 0.4× 76 0.4× 99 0.7× 67 968
S.J. McClure Australia 19 452 1.0× 228 1.0× 199 1.0× 74 0.4× 200 1.3× 48 929
M. McElroy Ireland 18 152 0.3× 108 0.5× 133 0.7× 158 0.8× 60 0.4× 55 770
J. González Spain 17 512 1.2× 377 1.6× 211 1.1× 60 0.3× 232 1.5× 46 923
Klaudiusz Szczepaniak Poland 12 184 0.4× 138 0.6× 173 0.9× 56 0.3× 83 0.6× 52 470
R.H. Dwinger Austria 18 200 0.5× 201 0.9× 131 0.7× 114 0.6× 33 0.2× 53 786
M. Fuertes Spain 18 163 0.4× 249 1.1× 52 0.3× 124 0.7× 60 0.4× 49 806
Katarina Gustafsson Sweden 14 182 0.4× 185 0.8× 83 0.4× 69 0.4× 131 0.9× 25 522
Susumu Makimura Japan 16 244 0.6× 315 1.4× 132 0.7× 145 0.8× 26 0.2× 52 849
Cláudio Estêvão Farias Cruz Brazil 17 146 0.3× 155 0.7× 128 0.7× 129 0.7× 31 0.2× 63 781

Countries citing papers authored by G. Sayers

Since Specialization
Citations

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

Fields of papers citing papers by G. Sayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Sayers

This figure shows the co-authorship network connecting the top 25 collaborators of G. Sayers. A scholar is included among the top collaborators of G. Sayers 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 G. Sayers. G. Sayers 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
1.
2.
Sayers, R., et al.. (2023). The effect of slow-release milk replacer feeding on health and behaviour parameters in dairy breed calves. Journal of Dairy Research. 90(3). 227–233.
3.
Reenen, C.G. van, et al.. (2023). Effect of source and journey on physiological variables in calves transported by road and ferry between Ireland and the Netherlands. Frontiers in Veterinary Science. 10. 1238734–1238734. 3 indexed citations
4.
O’Mahony, Niall, et al.. (2022). Two- and Three-Dimensional Computer Vision Techniques for More Reliable Body Condition Scoring. SHILAP Revista de lepidopterología. 4(1). 1–25. 3 indexed citations
5.
6.
Sayers, R., et al.. (2018). Establishing blood gas ranges in healthy bovine neonates differentiated by age, sex, and breed type. Journal of Dairy Science. 101(4). 3205–3212. 47 indexed citations
7.
Haçarız, Orçun & G. Sayers. (2017). Genererating a core cluster of Fasciola hepatica virulence and immunomodulation-related genes using a comparative in silico approach. Research in Veterinary Science. 117. 271–276. 3 indexed citations
8.
Haçarız, Orçun & G. Sayers. (2016). The omic approach to parasitic trematode research—a review of techniques and developments within the past 5 years. Parasitology Research. 115(7). 2523–2543. 7 indexed citations
9.
10.
Sayers, R., G. Sayers, D. A. Graham, & Seán Arkins. (2015). Impact of three inactivated bovine viral diarrhoea virus vaccines on bulk milk p80 (NS3) ELISA test results in dairy herds. The Veterinary Journal. 205(1). 56–61. 13 indexed citations
11.
Haçarız, Orçun & G. Sayers. (2013). Fasciola hepatica – Where is 28S ribosomal RNA?. Experimental Parasitology. 135(2). 426–429. 6 indexed citations
12.
Hassan, Musa A., Barbara Good, J. P. Hanrahan, et al.. (2011). The dynamic influence of the DRB1*1101 allele on the resistance of sheep to experimental Teladorsagia circumcincta infection. SHILAP Revista de lepidopterología. 29 indexed citations
13.
Hassan, Musa A., Barbara Good, J. P. Hanrahan, et al.. (2011). The dynamic influence of the DRB1*1101 allele on the resistance of sheep to experimental Teladorsagia circumcincta infection. Veterinary Research. 42(1). 46–46. 2 indexed citations
14.
Haçarız, Orçun, G. Sayers, & Grace Mulcahy. (2010). A preliminary study to understand the effect of Fasciola hepatica tegument on naïve macrophages and humoral responses in an ovine model. Veterinary Immunology and Immunopathology. 139(2-4). 245–249. 20 indexed citations
15.
Haçarız, Orçun, et al.. (2009). IL‐10 and TGF‐β1 are associated with variations in fluke burdens following experimental fasciolosis in sheep. Parasite Immunology. 31(10). 613–622. 41 indexed citations
16.
Sayers, G., Barbara Good, J. P. Hanrahan, et al.. (2007). Breed differences in mucosal and systemic antibody response to nematode infection in sheep: an important role for IgE?. Parasitology. 135(1). 71–80. 19 indexed citations
17.
Stear, M.J., Katarzyna Donskow‐Łysoniewska, Giles Innocent, et al.. (2007). Detection of genes with moderate effects on disease resistance using ovine mhc and resistance to nematodes as an example. Veterinary Immunology and Immunopathology. 120(1-2). 3–9. 18 indexed citations
18.
Murray, Kristy O., Joseph Barry, Sarah Reagan, et al.. (2005). Epidemiological findings and medical, legal, and public health challenges of an investigation of severe soft tissue infections and deaths among injecting drug users – Ireland, 2000. Epidemiology and Infection. 134(4). 894–901. 9 indexed citations
19.
Sayers, G. & Torres Sweeney. (2005). Gastrointestinal nematode infection in sheep – a review of the alternatives to anthelmintics in parasite control. Animal Health Research Reviews. 6(2). 159–171. 65 indexed citations
20.
Sayers, G., et al.. (2004). Analysis of DRB1 exon 2 genotyping by STR size analysis in Suffolk and Texel sheep breeds. Irish Journal of Agricultural and Food Research. 43(2). 177–183. 1 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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