G. Sayers

1.1k citations
30 papers · 769 · h-index 17

Impact in

  • Small Animals top 0.5%
    • Helminth infection and control
    • Animal health and immunology
    • Parasites and Host Interactions

Papers in

G. Sayers

29 papers receiving 756 citations

Peers

G. Sayers
Comparison fields: 5 of 77
  • Small Animals 432
  • Parasitology 219
  • Agronomy and Crop Science 187
  • Animal Science and Zoology 171
  • Infectious Diseases 101
Replace C. D. Penny with:
C. D. Penny United Kingdom
S.J. McClure Australia
Fernanda Silveira Flôres Vogel Brazil
Stewart T. G. Burgess United Kingdom
F.J. Martínez-Moreno Spain
Synnøve Vatn Norway
J. González Spain
DS Beggs Australia
Klaudiusz Szczepaniak Poland
M. Fuertes Spain
G. Sayers relative to C. D. Penny United Kingdom C. D. Penny's profile →
Citations per field
00.5×5.7×
C. D. Penny · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201295
2 200570
3 200564
4 201462
5 201849
6 200848
7 200942
8 201642
9 201240
10 200537
11 200430
12 201129
13 201423
14 201020
15
Oxygen radical release by adherent cell populations during the initial stages of a lethal rodent malarial infection.
198520
16 200719
17 200718
18 201513
19 202010
20 200510

About G. Sayers

G. Sayers is a scholar working on Small Animals, Animal Science and Zoology, Parasitology, Ecology and Agronomy and Crop Science, having authored 30 papers that have together received 769 indexed citations. Recurring topics across this work include Helminth infection and control (16 papers), Coccidia and coccidiosis research (8 papers), Parasite Biology and Host Interactions (8 papers), Animal health and immunology (7 papers), Parasites and Host Interactions (5 papers), Effects of Environmental Stressors on Livestock (5 papers), Parasitic Infections and Diagnostics (4 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Small Animals (432 citations), Parasitology (219 citations), Agronomy and Crop Science (187 citations), Animal Science and Zoology (171 citations) and Infectious Diseases (101 citations). G. Sayers has collaborated with scholars based in Ireland, Türkiye and United Kingdom. Frequent 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 John F. Mee. Their work appears in journals such as The Veterinary Journal, Journal of Dairy Science, Parasitology, Veterinary Immunology and Immunopathology and Epidemiology and Infection.

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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