K. Quinn

976 total citations
18 papers, 754 citations indexed

About

K. Quinn is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, K. Quinn has authored 18 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Agronomy and Crop Science, 8 papers in Public Health, Environmental and Occupational Health and 7 papers in Genetics. Recurrent topics in K. Quinn's work include Reproductive Biology and Fertility (8 papers), Reproductive Physiology in Livestock (8 papers) and Genetic and phenotypic traits in livestock (7 papers). K. Quinn is often cited by papers focused on Reproductive Biology and Fertility (8 papers), Reproductive Physiology in Livestock (8 papers) and Genetic and phenotypic traits in livestock (7 papers). K. Quinn collaborates with scholars based in Ireland, Australia and United Kingdom. K. Quinn's co-authors include P. Lonergan, D. Rizos, M.P. Boland, A.C.O. Evans, Yizhou Chen, R. M. Herd, Cedric Gondro, F. Ward, S. HUM and P. Parnell and has published in prestigious journals such as BJOG An International Journal of Obstetrics & Gynaecology, Theriogenology and Proceedings of The Nutrition Society.

In The Last Decade

K. Quinn

18 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Quinn Ireland 13 340 315 305 164 112 18 754
A. García-Guerra United States 16 676 2.0× 357 1.1× 387 1.3× 125 0.8× 81 0.7× 67 930
Renée Båge Sweden 17 693 2.0× 277 0.9× 381 1.2× 141 0.9× 100 0.9× 73 963
Curtis R. Youngs United States 16 222 0.7× 350 1.1× 229 0.8× 197 1.2× 164 1.5× 59 728
E. Milanesi Italy 13 125 0.4× 353 1.1× 339 1.1× 237 1.4× 261 2.3× 37 809
A.P.W. de Roos Netherlands 13 688 2.0× 386 1.2× 1.5k 5.0× 166 1.0× 158 1.4× 20 2.0k
C. Rajkhowa India 15 312 0.9× 123 0.4× 239 0.8× 179 1.1× 63 0.6× 98 666
H. Feitsma Netherlands 16 246 0.7× 375 1.2× 261 0.9× 466 2.8× 59 0.5× 26 935
Juan E. Romano United States 21 771 2.3× 329 1.0× 729 2.4× 145 0.9× 250 2.2× 57 1.2k
V. L. Barile Italy 15 505 1.5× 111 0.4× 420 1.4× 75 0.5× 56 0.5× 127 761
Bart Mateusen Belgium 17 381 1.1× 597 1.9× 353 1.2× 364 2.2× 262 2.3× 38 1.2k

Countries citing papers authored by K. Quinn

Since Specialization
Citations

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

Fields of papers citing papers by K. Quinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Quinn

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

All Works

18 of 18 papers shown
1.
Gondro, Cedric, K. Quinn, L. M. Cafe, et al.. (2013). Hormonal growth implants affect feed efficiency and expression of residual feed intake-associated genes in beef cattle. Animal Production Science. 54(5). 550–556. 8 indexed citations
2.
Gondro, Cedric, et al.. (2013). Expression of candidate genes for residual feed intake in Angus cattle. Animal Genetics. 45(1). 12–19. 29 indexed citations
3.
Chen, Yizhou, P. F. Arthur, R. M. Herd, K. Quinn, & I. Barchia. (2012). Using genes differentially expressed in bulls to classify steers divergently selected for high and low residual feed intake. Animal Production Science. 52(7). 608–612. 10 indexed citations
4.
Chen, Yizhou, P. F. Arthur, I. Barchia, et al.. (2012). Using gene expression information obtained by quantitative real-time PCR to evaluate Angus bulls divergently selected for feed efficiency. Animal Production Science. 52(11). 1058–1067. 11 indexed citations
5.
Chen, Yizhou, Cedric Gondro, K. Quinn, et al.. (2011). Global gene expression profiling reveals genes expressed differentially in cattle with high and low residual feed intake. Animal Genetics. 42(5). 475–490. 132 indexed citations
6.
McAuliffe, Fionnuala M., et al.. (2010). The negative effects of a short period of maternal undernutrition at conception on the glucose–insulin system of offspring in sheep. Animal Reproduction Science. 121(1-2). 94–100. 22 indexed citations
7.
McAuliffe, Fionnuala M., et al.. (2009). Transient high glycaemic intake in the last trimester of pregnancy increases offspring birthweight and postnatal growth rate in sheep: a randomised control trial. BJOG An International Journal of Obstetrics & Gynaecology. 116(7). 975–983. 16 indexed citations
8.
Gondro, Cedric, et al.. (2009). Global gene expression profiling of Angus cattle selected for low and high net feed intake.. RUNE (Research UNE). 171–174. 2 indexed citations
9.
Rizos, D., D.A. Kenny, K. Quinn, et al.. (2008). The effect of feeding propylene glycol to dairy cows during the early postpartum period on follicular dynamics and on metabolic parameters related to fertility. Theriogenology. 69(6). 688–699. 39 indexed citations
10.
McAuliffe, Fionnuala M., et al.. (2008). Effect of high-glycaemic meals in the last trimester of pregnancy on offspring birth weight and postnatal growth in sheep. Proceedings of The Nutrition Society. 67(OCE9). 1 indexed citations
11.
Lonergan, P., Andy Woods, Trudee Fair, et al.. (2007). Effect of embryo source and recipient progesterone environment on embryo development in cattle. Reproduction Fertility and Development. 19(7). 861–868. 70 indexed citations
12.
Hawken, P.A.R., A.P. Beard, C.M. O’Meara, et al.. (2004). The effects of ram exposure during progestagen oestrus synchronisation and time of ram introduction post progestagen withdrawal on fertility in ewes. Theriogenology. 63(3). 860–871. 12 indexed citations
13.
Papadopoulos, Serafeim, D. Rizos, P. Duffy, et al.. (2002). Embryo survival and recipient pregnancy rates after transfer of fresh or vitrified, in vivo or in vitro produced ovine blastocysts. Animal Reproduction Science. 74(1-2). 35–44. 61 indexed citations
15.
Papadopoulos, Serafeim, P. Lonergan, Vivian Gath, et al.. (2001). Effect of diet quantity and urea supplementation on oocyte and embryo quality in sheep. Theriogenology. 55(5). 1059–1069. 53 indexed citations
16.
Evans, A.C.O., Jeremy D. Flynn, K. Quinn, et al.. (2001). Ovulation of aged follicles does not affect embryo quality or fertility after a 14-day progestagen estrus synchronization protocol in ewes. Theriogenology. 56(5). 923–936. 40 indexed citations
17.
Evans, A.C.O., Patrick E. Duffy, K. Quinn, P. G. Knight, & M.P. Boland. (2001). Follicular waves are associated with transient fluctuations in FSH but not oestradiol or inhibin-A concentrations in anoestrous ewes. Animal Science. 72(3). 547–554. 21 indexed citations
18.
HUM, S., et al.. (1997). Evaluation of a PCR assay for identification and differentiation of Campylobacter fetus subspecies. Australian Veterinary Journal. 75(11). 827–831. 109 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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