K. Quinn

979 citations
18 papers · 762 · h-index 13

Impact in

Papers in

K. Quinn

18 papers receiving 732 citations

Peers

K. Quinn
Comparison fields: 5 of 60
  • Agronomy and Crop Science 327
  • Reproductive Medicine 157
  • Public Health, Environmental and Occupational Health 305
  • Genetics 271
  • Animal Science and Zoology 94
Replace Curtis R. Youngs with:
Curtis R. Youngs United States
A. García-Guerra United States
Renée Båge Sweden
A. Karagiannidis Greece
T. Janowski Poland
Joanna Maria Gonçalves Souza‐Fabjan Brazil
V. L. Barile Italy
H. Feitsma Netherlands
Jairo Pereira Neves Brazil
Bénédicte Grimard France
K. Quinn relative to Curtis R. Youngs United States Curtis R. Youngs's profile →
Citations per field
00.5×6.5×
Curtis R. Youngs · 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-authors

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 2011133
2 2001119
3 1997110
4 200771
5 200262
6 200153
7 200140
8 200839
9 201330
10 201023
11 200121
12 200917
13 200412
14 201211
15 201210
16 20138
17
Global gene expression profiling of Angus cattle selected for low and high net feed intake.
20092
18 20081

About K. Quinn

K. Quinn is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 762 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), Meat and Animal Product Quality (3 papers), Ovarian function and disorders (3 papers), Birth, Development, and Health (3 papers) and Gestational Diabetes Research and Management (2 papers). The work is most often cited by research in Agronomy and Crop Science (327 citations), Reproductive Medicine (157 citations), Public Health, Environmental and Occupational Health (305 citations), Genetics (271 citations) and Animal Science and Zoology (94 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, R. M. Herd, Yizhou Chen, Cedric Gondro, F. Ward, S. HUM and P. Parnell. Their work appears in journals such as Theriogenology, Animal Production Science, Animal Reproduction Science, Animal Genetics 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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