Brian Gardunia

501 total citations
10 papers, 300 citations indexed

About

Brian Gardunia is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Brian Gardunia has authored 10 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 2 papers in Molecular Biology and 2 papers in Agronomy and Crop Science. Recurrent topics in Brian Gardunia's work include Chromosomal and Genetic Variations (3 papers), Genetics and Plant Breeding (3 papers) and Seed and Plant Biochemistry (2 papers). Brian Gardunia is often cited by papers focused on Chromosomal and Genetic Variations (3 papers), Genetics and Plant Breeding (3 papers) and Seed and Plant Biochemistry (2 papers). Brian Gardunia collaborates with scholars based in United States, Nigeria and United Arab Emirates. Brian Gardunia's co-authors include Douglas D. Cook, Daniel J. Robertson, Margaret Julias, Mikel R. Stevens, Eric N. Jellen, Craig E. Coleman, Peter J. Maughan, Daniel J. Fairbanks, Alejandro Bonifacio and Gregor Gorjanc and has published in prestigious journals such as Theoretical and Applied Genetics, Crop Science and Plant Cell Reports.

In The Last Decade

Brian Gardunia

10 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Gardunia United States	7	183	111	68	63	33	10	300
Francisco E. Gomez United States	10	202 1.1×	100 0.9×	29 0.4×	62 1.0×	38 1.2×	22	332
S. M. Dofing United States	11	378 2.1×	226 2.0×	28 0.4×	67 1.1×	13 0.4×	25	481
S.M. Abrams United States	14	70 0.4×	330 3.0×	26 0.4×	94 1.5×	16 0.5×	20	439
LaDon Johnson United States	9	90 0.5×	378 3.4×	24 0.4×	92 1.5×	17 0.5×	13	431
J.T. Dickerson United States	5	81 0.4×	294 2.6×	61 0.9×	28 0.4×	8 0.2×	15	351
Yao Jinbao China	11	281 1.5×	52 0.5×	8 0.1×	17 0.3×	32 1.0×	37	355
I. S. Khairwal India	12	305 1.7×	79 0.7×	53 0.8×	82 1.3×	5 0.2×	25	364
Ch Ravinder Reddy India	10	122 0.7×	69 0.6×	23 0.3×	16 0.3×	5 0.2×	36	236
V. P. Rao India	11	265 1.4×	64 0.6×	19 0.3×	46 0.7×	10 0.3×	46	345
Thiago Carvalho da Silva Brazil	11	116 0.6×	341 3.1×	59 0.9×	28 0.4×	17 0.5×	53	447

Countries citing papers authored by Brian Gardunia

Since Specialization

Citations

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

Fields of papers citing papers by Brian Gardunia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Gardunia

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

All Works

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10 of 10 papers shown

Dieng, Ibnou, Brian Gardunia, Giovanny Covarrubias‐Pazaran, et al.. (2024). Q&A: Methods for estimating genetic gain in sub‐Saharan Africa and achieving improved gains. The Plant Genome. 17(2). e20471–e20471. 6 indexed citations

Fatokun, Christian, Abou Togola, Ibnou Dieng, et al.. (2024). Genetic progress in cowpea [ Vigna unguiculata (L.) Walp.] stemming from breeding modernization efforts at the International Institute of Tropical Agriculture. The Plant Genome. 17(2). e20462–e20462. 3 indexed citations

Gaynor, R. Chris, et al.. (2022). Genomic selection using random regressions on known and latent environmental covariates. Theoretical and Applied Genetics. 135(10). 3393–3415. 33 indexed citations

Nagy, É., Julia L. Stevens, Brian Gardunia, et al.. (2021). Novel disease resistance gene paralogs created by CRISPR/Cas9 in soy. Plant Cell Reports. 40(6). 1047–1058. 25 indexed citations

Robertson, Daniel J., et al.. (2015). Corn Stalk Lodging: A Forensic Engineering Approach Provides Insights into Failure Patterns and Mechanisms. Crop Science. 55(6). 2833–2841. 70 indexed citations

Robertson, Daniel J., et al.. (2014). An Improved Method for Accurate Phenotyping of Corn Stalk Strength. Crop Science. 54(5). 2038–2044. 67 indexed citations

Kolano, Bożena, Brian Gardunia, Magdalena Michalska, et al.. (2011). Chromosomal localization of two novel repetitive sequences isolated from the Chenopodium quinoa Willd. genome. Genome. 54(9). 710–717. 27 indexed citations

Gardunia, Brian. (2009). Introgression from Gossypium mustelinum and G. tomentosum into upland cotton, G. hirusutum. OakTrust (Texas A&M University Libraries). 1 indexed citations

Durrant, Jacob D., Brian Gardunia, Kevin Livingstone, Mikel R. Stevens, & Eric N. Jellen. (2006). An Algorithm for Analyzing Linkages Affected by Heterozygous Translocations: QuadMap. Journal of Heredity. 97(1). 62–66. 6 indexed citations

10.

Maughan, Peter J., Alejandro Bonifacio, Eric N. Jellen, et al.. (2004). A genetic linkage map of quinoa (Chenopodium quinoa) based on AFLP, RAPD, and SSR markers. Theoretical and Applied Genetics. 109(6). 1188–1195. 62 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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