Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Fatty acid composition, including conjugated linoleic acid, of intramuscular fat from steers offered grazed grass, grass silage, or concentrate-based diets.
2000539 citationsPatrick Caffrey, A.P. Moloney et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Patrick Caffrey
Since
Specialization
Citations
This map shows the geographic impact of Patrick Caffrey'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 Patrick Caffrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Caffrey more than expected).
This network shows the impact of papers produced by Patrick Caffrey. 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 Patrick Caffrey. The network helps show where Patrick Caffrey may publish in the future.
Co-authorship network of co-authors of Patrick Caffrey
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Caffrey.
A scholar is included among the top collaborators of Patrick Caffrey 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 Patrick Caffrey. Patrick Caffrey is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
McGee, Mark, et al.. (2007). Body and carcass measurements, carcass conformation and tissue distribution of high dairy genetic merit Holstein, standard dairy genetic merit Friesian and Charolais x Holstein-Friesian male cattle. Irish Journal of Agricultural and Food Research. 46(2). 129–147.8 indexed citations
6.
Lawlor, Peadar G., P.B. Lynch, & Patrick Caffrey. (2006). Effect of fumaric acid, calcium formate and mineral levels in diets on the intake and growth performance of newly weaned pigs. Irish Journal of Agricultural and Food Research. 45(1). 61–71.21 indexed citations
7.
McGee, Mark, M. J. Drennan, & Patrick Caffrey. (2006). Effect of age and nutrient restriction pre partum on beef suckler cow serum immunoglobulin concentrations, colostrum yield, composition and immunoglobulin concentration and immune status of their progeny. Irish Journal of Agricultural and Food Research. 45(2). 157–171.30 indexed citations
8.
McGee, Mark, et al.. (2005). Production and carcass traits of high dairy genetic merit Holstein, standard dairy genetic merit Friesian and Charolais × Holstein- Friesian male cattle. Irish Journal of Agricultural and Food Research. 44(2). 215–231.27 indexed citations
9.
McGee, Mark, M. J. Drennan, & Patrick Caffrey. (2005). Effect of suckler cow genotype on cow serum immunoglobulin (Ig) levels, colostrum yield, composition and Ig concentration and subsequent immune status of their progeny. Irish Journal of Agricultural and Food Research. 44(2). 173–183.18 indexed citations
10.
Lawlor, Peadar G., P.B. Lynch, & Patrick Caffrey. (2005). Effect of creep feeding, dietary fumaric acid and level of dairy product in the diet on post-weaning pig performance. Irish Journal of Agricultural and Food Research. 44(1). 45–55.13 indexed citations
11.
McGee, Mark, M. J. Drennan, & Patrick Caffrey. (2005). Effect of suckler cow genotype on milk yield and pre-weaning calf performance. Irish Journal of Agricultural and Food Research. 44(2). 185–194.30 indexed citations
Drennan, M. J., et al.. (2001). Influence of concentrate level during winter and date of turnout to pasture on the performance of cattle and the effect of grazing of silage ground on grass yield and quality. Irish Journal of Agricultural and Food Research. 40(1). 23–32.7 indexed citations
14.
Caffrey, Patrick, et al.. (1991). Twinning in a suckler herd 2. effects on cow and calf immunoglobulin status. Irish journal of agricultural research. 30(1). 11–18.3 indexed citations
15.
Kennedy, Joseph, F. X. AHERNE, Dennis Kelleher, & Patrick Caffrey. (1974). An evaluation of the nutritive value of meat-and-bone meal. 1. Effects of level of meat-and-bone meal and collagen on pig and rat performance. Irish journal of agricultural research. 13(1). 1–10.4 indexed citations
16.
Kennedy, Joseph, F. X. AHERNE, Dennis Kelleher, & Patrick Caffrey. (1974). An evaluation of the nutritive value of meat-and-bone meal. 2. Effects of protein, ash and available lysine content on pig performance and nitrogen retention. Irish journal of agricultural research. 13(1). 11–19.2 indexed citations
17.
Caffrey, Patrick, et al.. (1971). Effect of amino acid supplementation of milo- and barley-based diets on the performance of pigs and rats.. Irish journal of agricultural research. 10(3). 255–268.3 indexed citations
18.
Lynch, P.B., W.J. O'Connell, & Patrick Caffrey. (1970). Nutritional evaluation of Irish meat- and - bone meals. 1. Utilisation of meat-and-bone meal protein by rats.. Irish journal of agricultural research. 9. 1–9.1 indexed citations
19.
Caffrey, Patrick, et al.. (1970). Effect of protein level in miloand barley-based diets on the performance of pigs and rats.. Irish journal of agricultural research. 9. 345–355.1 indexed citations
20.
Caffrey, Patrick, et al.. (1967). Intensive beef production, with and without pasture.. 64. 20–37.
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.