K. Quinn

976 citations
18 papers · 754 indexed · h-index 13

K. Quinn

18 papers receiving 722 citations

Peers

K. Quinn
Comparison fields: 5 of 60
  • Agronomy and Crop Science 340
  • Reproductive Medicine 164
  • Genetics 305
  • Public Health, Environmental and Occupational Health 315
  • Animal Science and Zoology 104
Replace A. García-Guerra with:
A. García-Guerra United States
Curtis R. Youngs United States
Renée Båge Sweden
Bart Mateusen Belgium
V. L. Barile Italy
H. Feitsma Netherlands
Bénédicte Grimard France
G. Vanroose Belgium
C. J. H. de Souza United Kingdom
A.P.W. de Roos Netherlands
K. Quinn relative to A. García-Guerra United States A. García-Guerra's profile →
Citations per field
00.5×1.7×
A. García-Guerra · 1×
Citations per year

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

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

All Works

18 of 18 papers shown
#Work
1 20138
2 201329
3 201210
4 201211
5 2011132
6 201022
7 200916
8
Global gene expression profiling of Angus cattle selected for low and high net feed intake.
20092
9 200839
10 20081
11 200770
12 200412
13 200261
14 2001118
15 200153
16 200140
17 200121
18 1997109

About K. Quinn

K. Quinn is a scholar working on Agronomy and Crop Science, Reproductive Medicine, Obstetrics and Gynecology, Animal Science and Zoology and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 754 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (8 papers), Reproductive Physiology in Livestock (8 papers), Genetic and phenotypic traits in livestock (7 papers), Molecular Biology Techniques and Applications (4 papers), Ovarian function and disorders (3 papers), Birth, Development, and Health (3 papers), Meat and Animal Product Quality (3 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Agronomy and Crop Science (340 citations), Reproductive Medicine (164 citations), Genetics (305 citations), Public Health, Environmental and Occupational Health (315 citations) and Animal Science and Zoology (104 citations). K. Quinn has collaborated with scholars based in Ireland, Australia and United Kingdom. Frequent 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. Their work appears in journals such as Theriogenology, Animal Production Science, Animal Genetics, Animal Reproduction Science and Reproduction Fertility and Development.

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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