A. E. Corey

1.1k total citations
13 papers, 627 citations indexed

About

A. E. Corey is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, A. E. Corey has authored 13 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 6 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in A. E. Corey's work include Wheat and Barley Genetics and Pathology (12 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Genetics and Plant Breeding (5 papers). A. E. Corey is often cited by papers focused on Wheat and Barley Genetics and Pathology (12 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Genetics and Plant Breeding (5 papers). A. E. Corey collaborates with scholars based in United States, Mexico and Spain. A. E. Corey's co-authors include Patrick M. Hayes, M. Isabel Vales, Kelley L. Richardson, F. Capettini, H. Vivar, Kazuhiro Sato, Christopher C. Mundt, Oscar Riera‐Lizarazu, A. Kleinhofs and David Kudrna and has published in prestigious journals such as Theoretical and Applied Genetics, Crop Science and Genome.

In The Last Decade

A. E. Corey

13 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. E. Corey United States 9 596 298 112 52 28 13 627
Piotr Masojć Poland 15 809 1.4× 343 1.2× 145 1.3× 103 2.0× 29 1.0× 44 841
Hanna Bolibok-Brągoszewska Poland 15 558 0.9× 275 0.9× 165 1.5× 52 1.0× 10 0.4× 26 623
Sandra Cristina Kothe Milach Brazil 13 429 0.7× 135 0.5× 80 0.7× 57 1.1× 8 0.3× 45 458
Stéphanie Bolot France 12 815 1.4× 175 0.6× 333 3.0× 31 0.6× 15 0.5× 21 881
C. J. Liu Australia 15 484 0.8× 130 0.4× 51 0.5× 53 1.0× 27 1.0× 19 522
Joachim Eder Germany 12 469 0.8× 246 0.8× 256 2.3× 64 1.2× 22 0.8× 25 588
Cong Tan China 16 480 0.8× 228 0.8× 233 2.1× 41 0.8× 13 0.5× 32 607
Zhongdong Dong China 14 694 1.2× 327 1.1× 153 1.4× 111 2.1× 8 0.3× 35 756
S. R. McCouch United States 9 1.0k 1.7× 727 2.4× 140 1.3× 51 1.0× 5 0.2× 16 1.1k
A. R. Schlatter United States 8 931 1.6× 385 1.3× 79 0.7× 114 2.2× 5 0.2× 9 962

Countries citing papers authored by A. E. Corey

Since Specialization
Citations

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

Fields of papers citing papers by A. E. Corey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. E. Corey

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

All Works

13 of 13 papers shown
1.
Cistué, L., Alfonso Cuesta‐Marcos, Shiaoman Chao, et al.. (2011). Comparative mapping of the Oregon Wolfe Barley using doubled haploid lines derived from female and male gametes. Theoretical and Applied Genetics. 122(7). 1399–1410. 6 indexed citations
2.
3.
Bonman, J. M., Phil Bregitzer, B. Cooper, et al.. (2010). Registration of the BISON Genetic Stocks in Hordeum vulgare L.. Journal of Plant Registrations. 5(1). 135–140. 12 indexed citations
4.
Hayes, Patrick M., S. E. Petrie, A. E. Corey, et al.. (2009). Production of Dryland Barley for Human Food: Quality and Agronomic Performance. Crop Science. 49(1). 347–355. 20 indexed citations
5.
Vales, M. Isabel, Chris‐Carolin Schön, F. Capettini, et al.. (2005). Effect of population size on the estimation of QTL: a test using resistance to barley stripe rust. Theoretical and Applied Genetics. 111(7). 1260–1270. 167 indexed citations
6.
Castro, Ariel, F. Capettini, A. E. Corey, et al.. (2003). Mapping and pyramiding of qualitative and quantitative resistance to stripe rust in barley. Theoretical and Applied Genetics. 107(5). 922–930. 66 indexed citations
7.
8.
Hayes, Patrick M., A. E. Corey, Christopher C. Mundt, T. Toojinda, & H. Vivar. (2003). Registration of ‘Tango’ Barley. Crop Science. 43(2). 729–731. 6 indexed citations
9.
Costa, José, A. E. Corey, Patrick M. Hayes, et al.. (2001). Molecular mapping of the Oregon Wolfe Barleys: a phenotypically polymorphic doubled-haploid population. Theoretical and Applied Genetics. 103(2-3). 415–424. 152 indexed citations
10.
Hayes, P. M., et al.. (2000). Registration of 'Orca' barley.. Crop Science. 40(3). 849–851. 15 indexed citations
11.
Hayes, Patrick M., et al.. (1995). Registration of ‘Maranna’ Barley. Crop Science. 35(5). 1504–1504. 1 indexed citations
12.
Hayes, Patrick M., et al.. (1995). Registration of ‘Kold’ Barley. Crop Science. 35(5). 1503–1503. 1 indexed citations
13.
Hayes, Patrick M., et al.. (1994). Mapping genes for resistance to barley stripe rust (Puccinia striiformis f. sp. hordei). Theoretical and Applied Genetics. 88(2). 215–219. 69 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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