G.A. Cullen

27 papers receiving 488 citations

Peers

G.A. Cullen
Comparison fields: 5 of 54
  • Endocrinology 93
  • Microbiology 103
  • Food Science 251
  • Animal Science and Zoology 128
  • Small Animals 89
Replace Karin Sandstedt with:
Karin Sandstedt Sweden
Alphons J.A.M. van Asten Netherlands
N. Smart Canada
D. Thiagarajan India
P. D. Claxton Australia
B Hurvell Sweden
Robert J. Eckroade United States
Tobias Schlapp Germany
J. K. Skeeles United States
William C. Stoffregen United States
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Citations per field
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Citations per year

Countries citing papers authored by G.A. Cullen

Since Specialization
Citations

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

Fields of papers citing papers by G.A. Cullen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside G.A. Cullen, 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.A. Cullen Line = papers co-authored together G.A. Cullen 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 199176
2 197271
3 197653
4 199052
5 199252
6 197049
7 196635
8 199330
9 196725
10 198118
11 197817
12
Serological response of turkey hens to vaccination with Salmonella hadar and its effect on their subsequently challenged embryos and poults.
198417
13 197217
14 197614
15 198414
16 197210
17 19747
18
Oxidative enzymes in milk and their value as indicators of sub-clinical mastitis in the cow.
19697
19 19676
20 19745

About G.A. Cullen

G.A. Cullen is a scholar working on Microbiology, Epidemiology, Animal Science and Zoology, Food Science and Infectious Diseases, having authored 28 papers that have together received 597 indexed citations. Recurring topics across this work include Microbial infections and disease research (10 papers), Animal Virus Infections Studies (6 papers), Salmonella and Campylobacter epidemiology (6 papers), Herpesvirus Infections and Treatments (5 papers), Livestock and Poultry Management (3 papers), Bacteriophages and microbial interactions (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Milk Quality and Mastitis in Dairy Cows (3 papers). The work is most often cited by research in Endocrinology (93 citations), Microbiology (103 citations), Food Science (251 citations), Animal Science and Zoology (128 citations) and Small Animals (89 citations). G.A. Cullen has collaborated with scholars based in United Arab Emirates, United Kingdom and Canada. Frequent co-authors include R. A. J. Nicholas, P. Wyeth, Carlos E. Hormaeche, M.J. Corbel, J.T. Faragher, W.H. Allan, L.M. Timms, G L Cooper, C. Nancy Hebert and Robin A.J. Nicholas. Their work appears in journals such as Avian Pathology, Research in Veterinary Science, Veterinary Record, Avian Diseases and Microbial Pathogenesis.

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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