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 India. Carl A. Griffey's co-authors include Shuyu Liu, Anne L. McKendry, W. S. Brooks, 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Carl A. Griffey 2.2k 612 443 374 169 118 2.4k
Clay Sneller 2.6k 1.2× 841 1.4× 151 0.3× 445 1.2× 214 1.3× 99 2.8k
Yuanfeng Hao 2.0k 0.9× 552 0.9× 219 0.5× 275 0.7× 268 1.6× 69 2.2k
Hans Peter Maurer 3.2k 1.5× 2.1k 3.5× 135 0.3× 511 1.4× 366 2.2× 93 3.5k
E. A. Carbonell 1.9k 0.9× 410 0.7× 244 0.6× 82 0.2× 520 3.1× 84 2.2k
Wolfgang Schipprack 2.1k 1.0× 1.5k 2.4× 78 0.2× 292 0.8× 472 2.8× 52 2.4k
A. Mujeeb‐Kazi 3.6k 1.6× 858 1.4× 78 0.2× 736 2.0× 589 3.5× 136 3.7k
Aluízio Borém 1.5k 0.7× 362 0.6× 80 0.2× 262 0.7× 238 1.4× 130 1.8k
K. K. Kidwell 2.2k 1.0× 671 1.1× 107 0.2× 475 1.3× 436 2.6× 68 2.5k
Fernando Irajá Félix de Carvalho 1.7k 0.8× 286 0.5× 54 0.1× 489 1.3× 276 1.6× 204 1.9k
O. Argillier 1.2k 0.5× 681 1.1× 74 0.2× 440 1.2× 303 1.8× 36 1.5k

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.
Murphy, J. Paul, Priyanka Tyagi, James B. Holland, et al.. (2019). Training population selection and use of fixed effects to optimize genomic predictions in a historical USA winter wheat panel. Theoretical and Applied Genetics. 132(4). 1247–1261. 85 indexed citations
4.
Ward, Brian, Gina Brown‐Guedira, F. L. Kolb, et al.. (2019). Genome-wide association studies for yield-related traits in soft red winter wheat grown in Virginia. PLoS ONE. 14(2). e0208217–e0208217. 68 indexed citations
6.
Ferreira, Gonzalo, et al.. (2018). Technical note: In situ ruminal starch disappearance kinetics of hull-less barley, hulled barley, and corn grains. Journal of Dairy Science. 101(7). 6150–6154. 5 indexed citations
7.
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
8.
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
9.
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
10.
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
11.
Mason, R. Esten, Nithya Subramanian, Edward E. Gbur, et al.. (2014). Tolerance of wheat to vegetative stage soil waterlogging is conditioned by both constitutive and adaptive QTL. Euphytica. 201(3). 329–343. 33 indexed citations
12.
Liu, Shuyu, Carl A. Griffey, M. D. Hall, et al.. (2013). Molecular characterization of field resistance to Fusarium head blight in two US soft red winter wheat cultivars. Theoretical and Applied Genetics. 126(10). 2485–2498. 63 indexed citations
13.
Tamburic-Ilincic, Lily, et al.. (2012). OAC Amber winter durum wheat. Canadian Journal of Plant Science. 92(5). 973–975. 1 indexed citations
14.
Berger, Grégory, Shuyu Liu, M. D. Hall, et al.. (2012). Marker-trait associations in Virginia Tech winter barley identified using genome-wide mapping. Theoretical and Applied Genetics. 126(3). 693–710. 54 indexed citations
15.
Khatibi, Piyum A., Nhuan P. Nghiem, Kevin G. Hicks, et al.. (2011). Conversion of deoxynivalenol to 3-acetyldeoxynivalenol in barley-derived fuel ethanol co-products with yeast expressing trichothecene 3-O-acetyltransferases. Biotechnology for Biofuels. 4(1). 26–26. 17 indexed citations
16.
Clark, Anthony, David A. Van Sanford, Carl A. Griffey, et al.. (2011). Exotic Scab Resistance Quantitative Trait Loci Effects on Soft Red Winter Wheat. Crop Science. 51(3). 924–933. 22 indexed citations
17.
Costa, José, Carl A. Griffey, Harold E. Bockelman, et al.. (2006). Registration of ‘Choptank’ Wheat. Crop Science. 46(1). 474–476. 3 indexed citations
18.
Griffey, Carl A., et al.. (2003). Registration of ‘Sisson’ Wheat. Crop Science. 43(3). 1134–1135. 7 indexed citations
19.
Mammadov, Jafar, John C. Zwonitzer, R. M. Biyashev, et al.. (2003). Molecular Mapping of Leaf Rust Resistance Gene 5 in Barley. Crop Science. 43(1). 388–388. 11 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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