Carl A. Griffey

3.4k total citations
118 papers, 2.4k citations indexed

About

Carl A. Griffey is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Carl A. Griffey has authored 118 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Plant Science, 37 papers in Agronomy and Crop Science and 17 papers in Genetics. Recurrent topics in Carl A. Griffey's work include Wheat and Barley Genetics and Pathology (98 papers), Genetics and Plant Breeding (33 papers) and Crop Yield and Soil Fertility (30 papers). Carl A. Griffey is often cited by papers focused on Wheat and Barley Genetics and Pathology (98 papers), Genetics and Plant Breeding (33 papers) and Crop Yield and Soil Fertility (30 papers). Carl A. Griffey collaborates with scholars based in United States, France and Japan. Carl A. Griffey's co-authors include Shuyu Liu, W. S. Brooks, Anne L. McKendry, M. D. Hall, Wade E. Thomason, Gina Brown‐Guedira, M. A. Saghai Maroof, David A. Van Sanford, Clay Sneller and Manisha Das and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Journal of Dairy Science.

In The Last Decade

Carl A. Griffey

117 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carl A. Griffey United States 27 2.2k 612 443 374 169 118 2.4k
Clay Sneller United States 33 2.6k 1.2× 841 1.4× 151 0.3× 445 1.2× 214 1.3× 99 2.8k
Hans Peter Maurer Germany 32 3.2k 1.5× 2.1k 3.5× 135 0.3× 511 1.4× 366 2.2× 93 3.5k
Yuanfeng Hao China 24 2.0k 0.9× 552 0.9× 219 0.5× 275 0.7× 268 1.6× 69 2.2k
E. A. Carbonell Spain 30 1.9k 0.9× 410 0.7× 244 0.6× 82 0.2× 520 3.1× 84 2.2k
Wolfgang Schipprack Germany 29 2.1k 1.0× 1.5k 2.4× 78 0.2× 292 0.8× 472 2.8× 52 2.4k
A. Mujeeb‐Kazi Mexico 34 3.6k 1.6× 858 1.4× 78 0.2× 736 2.0× 589 3.5× 136 3.7k
K. K. Kidwell United States 29 2.2k 1.0× 671 1.1× 107 0.2× 475 1.3× 436 2.6× 68 2.5k
Fernando Irajá Félix de Carvalho Brazil 20 1.7k 0.8× 286 0.5× 54 0.1× 489 1.3× 276 1.6× 204 1.9k
O. Argillier France 22 1.2k 0.5× 681 1.1× 74 0.2× 440 1.2× 303 1.8× 36 1.5k
Chuanxi Ma China 26 1.8k 0.8× 371 0.6× 105 0.2× 440 1.2× 288 1.7× 93 2.0k

Countries citing papers authored by Carl A. Griffey

Since Specialization
Citations

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

Fields of papers citing papers by Carl A. Griffey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl A. Griffey

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

All Works

20 of 20 papers shown
1.
Ballén‐Taborda, Carolina, Jeanette Lyerly, Gina Brown‐Guedira, et al.. (2022). Utilizing genomics and historical data to optimize gene pools for new breeding programs: A case study in winter wheat. Frontiers in Genetics. 13. 964684–964684. 5 indexed citations
2.
Ward, Brian, Maria Balota, Paul H. Davis, et al.. (2020). Identification of quantitative trait loci associated with nitrogen use efficiency in winter wheat. PLoS ONE. 15(2). e0228775–e0228775. 22 indexed citations
3.
Ward, Brian, Gina Brown‐Guedira, Priyanka Tyagi, et al.. (2019). Multienvironment and Multitrait Genomic Selection Models in Unbalanced Early‐Generation Wheat Yield Trials. Crop Science. 59(2). 491–507. 46 indexed citations
4.
Ferreira, Gonzalo, et al.. (2017). Effects of feeding hull-less barley on production performance, milk fatty acid composition, and nutrient digestibility of lactating dairy cows. Journal of Dairy Science. 100(5). 3576–3583. 11 indexed citations
5.
Nghiem, Nhuan P., et al.. (2016). Production of Ethanol From Newly Developed and Improved Winter Barley Cultivars. Applied Biochemistry and Biotechnology. 182(1). 400–410. 6 indexed citations
6.
Huang, Mao Fang, Antonio Cabrera, Carl A. Griffey, et al.. (2016). Genomic selection for wheat traits and trait stability. Theoretical and Applied Genetics. 129(9). 1697–1710. 57 indexed citations
7.
Cabrera, Antonio, Mary J. Guttieri, Edward Souza, et al.. (2015). Identification of milling and baking quality QTL in multiple soft wheat mapping populations. Theoretical and Applied Genetics. 128(11). 2227–2242. 19 indexed citations
8.
Clark, Anthony, José Costa, Carl A. Griffey, et al.. (2014). Registration of Scab-Resistant KY06C-11-3-10 Soft Red Winter Wheat Germplasm. Journal of Plant Registrations. 8(2). 211–216. 5 indexed citations
9.
Tamburic-Ilincic, Lily, et al.. (2012). OAC Amber winter durum wheat. Canadian Journal of Plant Science. 92(5). 973–975. 1 indexed citations
10.
Souza, Edward, Clay Sneller, Mary J. Guttieri, et al.. (2011). Basis for Selecting Soft Wheat for End‐Use Quality. Crop Science. 52(1). 21–31. 32 indexed citations
11.
Mammadov, Jafar, W. S. Brooks, Carl A. Griffey, & M. A. Saghai Maroof. (2007). Validating molecular markers for barley leaf rust resistance genes Rph5 and Rph7. Plant Breeding. 126(5). 458–463. 8 indexed citations
12.
Zhou, Kequan, Junjie Hao, Carl A. Griffey, et al.. (2007). Antioxidant Properties of Fusarium Head Blight-Resistant and -Susceptible Soft Red Winter Wheat Grains Grown in Virginia. Journal of Agricultural and Food Chemistry. 55(9). 3729–3736. 28 indexed citations
13.
Costa, José, Carl A. Griffey, Harold E. Bockelman, et al.. (2006). Registration of ‘Choptank’ Wheat. Crop Science. 46(1). 474–476. 3 indexed citations
14.
Brooks, W. S., Carl A. Griffey, Andrew Price, et al.. (2005). Registration of ‘Price’ Barley. Crop Science. 45(2). 791–792. 6 indexed citations
15.
Bailey, William A., et al.. (2004). Wheat Cultivar Tolerance to AE F130060 03. Weed Technology. 18(4). 881–886. 13 indexed citations
16.
Abaye, A. O., et al.. (2003). Adaptation and Performance of Winter Durum Wheat in Virginia. Agronomy Journal. 95(3). 642–642. 1 indexed citations
17.
Griffey, Carl A., et al.. (2003). Registration of ‘Sisson’ Wheat. Crop Science. 43(3). 1134–1135. 7 indexed citations
18.
Sanford, David A. Van, James A. Anderson, Kim Campbell, et al.. (2001). Discovery and Deployment of Molecular Markers Linked to Fusarium Head Blight Resistance: An Integrated System for Wheat and Barley. Crop Science. 41(3). 638–644. 44 indexed citations
19.
Griffey, Carl A., et al.. (2001). Registration of ‘Roane’ Wheat. Crop Science. 41(4). 1359–1360. 30 indexed citations
20.
Murphy, J. Paul, Carl A. Griffey, P. L. Finney, & S. Leath. (1997). Agronomic and Grain Quality Evaluations of Triticum aestivum × Aegilops tauschii Backcross Populations. Crop Science. 37(6). 1960–1965. 9 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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