Elizabeth Corey

1.2k total citations · 1 hit paper
10 papers, 600 citations indexed

About

Elizabeth Corey is a scholar working on Genetics, Small Animals and Equine. According to data from OpenAlex, Elizabeth Corey has authored 10 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Small Animals and 3 papers in Equine. Recurrent topics in Elizabeth Corey's work include Veterinary Orthopedics and Neurology (6 papers), Genetic and phenotypic traits in livestock (4 papers) and Veterinary Equine Medical Research (3 papers). Elizabeth Corey is often cited by papers focused on Veterinary Orthopedics and Neurology (6 papers), Genetic and phenotypic traits in livestock (4 papers) and Veterinary Equine Medical Research (3 papers). Elizabeth Corey collaborates with scholars based in United States, France and Germany. Elizabeth Corey's co-authors include Johanna S. Archer, Rory J. Todhunter, Marta G. Castelhano, Adam R. Boyko, Kyle C. Oliveira, Zhiwu Zhang, Jessica J. Hayward, Michael I. Kotlikoff, George Lust and Margret L. Casal and has published in prestigious journals such as Nature Communications, PLoS ONE and Obstetrics and Gynecology.

In The Last Decade

Elizabeth Corey

10 papers receiving 594 citations

Hit Papers

Primary Dysmenorrhea 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth Corey United States 10 219 163 160 131 111 10 600
Angela Polisca Italy 19 80 0.4× 295 1.8× 97 0.6× 64 0.5× 109 1.0× 50 819
Mirja Huhtinen Finland 16 161 0.7× 267 1.6× 202 1.3× 56 0.4× 256 2.3× 38 809
Ayako Imai United States 15 61 0.3× 189 1.2× 62 0.4× 127 1.0× 83 0.7× 52 572
Thomas J. Reimers United States 15 162 0.7× 203 1.2× 53 0.3× 44 0.3× 45 0.4× 22 610
D. Groppetti Italy 16 161 0.7× 225 1.4× 58 0.4× 145 1.1× 34 0.3× 52 603
George H. Stabenfeldt United States 19 210 1.0× 339 2.1× 233 1.5× 66 0.5× 303 2.7× 35 1.1k
Alessandro Troisi Italy 13 48 0.2× 187 1.1× 61 0.4× 41 0.3× 83 0.7× 42 449
Stéfan Deleuze Belgium 15 80 0.4× 45 0.3× 241 1.5× 110 0.8× 100 0.9× 75 653
R. J. Fitzpatrick United Kingdom 16 157 0.7× 103 0.6× 208 1.3× 49 0.4× 28 0.3× 33 792
Marco Cunto Italy 14 89 0.4× 227 1.4× 200 1.3× 47 0.4× 65 0.6× 39 579

Countries citing papers authored by Elizabeth Corey

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Corey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Corey

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

All Works

10 of 10 papers shown
1.
Corey, Elizabeth, et al.. (2020). Primary Dysmenorrhea. Obstetrics and Gynecology. 136(5). 1047–1058. 187 indexed citations breakdown →
2.
Huang, Meng, Jessica J. Hayward, Elizabeth Corey, et al.. (2017). A novel iterative mixed model to remap three complex orthopedic traits in dogs. PLoS ONE. 12(6). e0176932–e0176932. 16 indexed citations
3.
Hayward, Jessica J., Marta G. Castelhano, Kyle C. Oliveira, et al.. (2016). Complex disease and phenotype mapping in the domestic dog. Nature Communications. 7(1). 10460–10460. 197 indexed citations
4.
Boyko, Adam R., Samantha A. Brooks, Marta G. Castelhano, et al.. (2014). Genomic analysis establishes correlation between growth and laryngeal neuropathy in Thoroughbreds. BMC Genomics. 15(1). 259–259. 34 indexed citations
5.
Friedenberg, Steven G., Lan Zhu, Zhiwu Zhang, et al.. (2011). Evaluation of a fibrillin 2 gene haplotype associated with hip dysplasia and incipient osteoarthritis in dogs. American Journal of Veterinary Research. 72(4). 530–540. 35 indexed citations
6.
Mateescu, Raluca G., Kate L. Tsai, Peter A. Schweitzer, et al.. (2009). Evaluation of quantitative trait loci for hip dysplasia in Labrador Retrievers. American Journal of Veterinary Research. 70(9). 1094–1101. 13 indexed citations
7.
Zhu, Lan, Zhiwu Zhang, Steven G. Friedenberg, et al.. (2009). The long (and winding) road to gene discovery for canine hip dysplasia. The Veterinary Journal. 181(2). 97–110. 37 indexed citations
8.
Castelhano, Marta G., Gregory M. Acland, Elizabeth Corey, et al.. (2009). Development and use of DNA archives at veterinary teaching hospitals to investigate the genetic basis of disease in dogs. Journal of the American Veterinary Medical Association. 234(1). 75–80. 9 indexed citations
9.
Zhu, Lan, Zhiwu Zhang, Fan Feng, et al.. (2008). Single nucleotide polymorphisms refine QTL intervals for hip joint laxity in dogs. Animal Genetics. 39(2). 141–146. 17 indexed citations
10.
Todhunter, Rory J., Raluca G. Mateescu, George Lust, et al.. (2005). Quantitative trait loci for hip dysplasia in a crossbreed canine pedigree. Mammalian Genome. 16(9). 720–730. 55 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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