Brian T. Scully

2.6k total citations
88 papers, 1.7k citations indexed

About

Brian T. Scully is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Brian T. Scully has authored 88 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Plant Science, 15 papers in Agronomy and Crop Science and 13 papers in Molecular Biology. Recurrent topics in Brian T. Scully's work include Mycotoxins in Agriculture and Food (30 papers), Wheat and Barley Genetics and Pathology (23 papers) and Genetics and Plant Breeding (15 papers). Brian T. Scully is often cited by papers focused on Mycotoxins in Agriculture and Food (30 papers), Wheat and Barley Genetics and Pathology (23 papers) and Genetics and Plant Breeding (15 papers). Brian T. Scully collaborates with scholars based in United States, China and Chile. Brian T. Scully's co-authors include Baozhu Guo, Jake C. Fountain, R. Dewey Lee, Robert C. Kemerait, Xinzhi Ni, Don Wallace, Robert D. Lee, Zhi-yuan Chen, Allen M. Samarel and Maria C. Heidkamp and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Brian T. Scully

86 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian T. Scully United States 24 1.3k 399 193 166 165 88 1.7k
Michal Shoresh Israel 13 2.0k 1.6× 515 1.3× 133 0.7× 57 0.3× 526 3.2× 13 2.3k
Fabien Porée Germany 13 1.9k 1.5× 1.0k 2.6× 58 0.3× 51 0.3× 105 0.6× 15 2.3k
Harmeet Kaur India 22 1.2k 1.0× 541 1.4× 62 0.3× 45 0.3× 121 0.7× 45 1.7k
M. Carmen De Vicente Spain 21 1.9k 1.5× 1.2k 2.9× 65 0.3× 75 0.5× 147 0.9× 50 2.7k
Linda J. Johnson New Zealand 27 1.2k 0.9× 719 1.8× 162 0.8× 70 0.4× 631 3.8× 66 2.5k
Ruth C. Martin United States 24 1.5k 1.2× 1.2k 3.1× 75 0.4× 32 0.2× 69 0.4× 70 2.0k
Guiling Sun China 27 1.5k 1.1× 1.2k 3.1× 175 0.9× 83 0.5× 101 0.6× 55 2.3k
Dulal Borthakur United States 23 1.2k 0.9× 602 1.5× 127 0.7× 215 1.3× 57 0.3× 93 1.6k
C. Gerard van der Linden Netherlands 31 2.0k 1.5× 687 1.7× 42 0.2× 138 0.8× 148 0.9× 60 2.6k
Long Yang China 26 1.1k 0.8× 907 2.3× 40 0.2× 71 0.4× 146 0.9× 128 1.9k

Countries citing papers authored by Brian T. Scully

Since Specialization
Citations

This map shows the geographic impact of Brian T. Scully'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 T. Scully with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian T. Scully more than expected).

Fields of papers citing papers by Brian T. Scully

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian T. Scully

This figure shows the co-authorship network connecting the top 25 collaborators of Brian T. Scully. A scholar is included among the top collaborators of Brian T. Scully 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 T. Scully. Brian T. Scully 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.
Davis, Richard F., Karen R. Harris‐Shultz, J. Knoll, Matthew D. Krakowsky, & Brian T. Scully. (2024). A Quantitative Trait Locus on Maize Chromosome 5 Is Associated with Root-Knot Nematode Resistance. Phytopathology. 114(7). 1657–1663. 2 indexed citations
2.
Fountain, Jake C., Josh Clevenger, Hui Wang, et al.. (2020). Draft Genome Sequences of One Aspergillus parasiticus Isolate and Nine Aspergillus flavus Isolates with Varying Stress Tolerance and Aflatoxin Production. Microbiology Resource Announcements. 9(37). 10 indexed citations
3.
Fountain, Jake C., Prasad Bajaj, Manish K. Pandey, et al.. (2016). Oxidative stress and carbon metabolism influence Aspergillus flavus transcriptome composition and secondary metabolite production. Scientific Reports. 6(1). 38747–38747. 78 indexed citations
4.
Kerry, Ruth, Brenda V. Ortiz, Ben Ingram, & Brian T. Scully. (2016). A Spatio–Temporal investigation of risk factors for aflatoxin contamination of corn in southern Georgia, USA using geostatistical methods. Crop Protection. 94. 144–158. 13 indexed citations
5.
Scully, Brian T., et al.. (2015). Registration of Maize Inbred Line GT888. Journal of Plant Registrations. 10(1). 87–92. 8 indexed citations
6.
7.
Scully, Brian T., Russell T. Nagata, Ronald H. Cherry, et al.. (2011). Registration of ‘Ultimate’ Zoysiagrass. Journal of Plant Registrations. 6(1). 71–74. 4 indexed citations
8.
Fountain, Jake C., et al.. (2010). Pathogenesis-related gene expressions in different maize genotypes under drought stressed conditions. African Journal of Plant Science. 4(11). 433–440. 17 indexed citations
9.
Ni, Xinzhi, G. David Buntin, Ted E. Cottrell, et al.. (2010). Impact of Brown Stink Bug (Heteroptera: Pentatomidae) Feeding on Corn Grain Yield Components and Quality. Journal of Economic Entomology. 103(6). 2072–2079. 42 indexed citations
10.
Luo, Meng, Jia Liu, R. Dewey Lee, Brian T. Scully, & Baozhu Guo. (2010). Monitoring the Expression of Maize Genes in Developing Kernels under Drought Stress using Oligo‐microarray. Journal of Integrative Plant Biology. 52(12). 1059–1074. 56 indexed citations
11.
Guo, Baozhu, Zhi-yuan Chen, R. Dewey Lee, & Brian T. Scully. (2008). Drought Stress and Preharvest Aflatoxin Contamination in Agricultural Commodity: Genetics, Genomics and Proteomics. Journal of Integrative Plant Biology. 50(10). 1281–1291. 90 indexed citations
12.
13.
Smith, R. L., et al.. (2005). Developmental changes in abundance of the VSPβ protein following nuclear transformation of maize with the Soybean vspβ cDNA. BMC Plant Biology. 5(1). 3–3. 8 indexed citations
14.
Porter, Michael, et al.. (2003). Isoenzyme-selective regulation of SERCA2 gene expression by protein kinase C in neonatal rat ventricular myocytes. American Journal of Physiology-Cell Physiology. 285(1). C39–C47. 36 indexed citations
15.
Scully, Brian T., J. L. Brewbaker, J. K. Pataky, William F. Tracy, & Margaret E. Smith. (2001). 'NE-EDR sh2': A Yellow shrunken2 Sweet Corn Population with Disease Resistance from Exotic Sources. HortScience. 36(6). 1149–1151. 1 indexed citations
16.
Scully, Brian T., et al.. (2000). Registration of the Maize Population Shrunken Zapalote Chico. Crop Science. 40(6). 1837–1838. 3 indexed citations
17.
Scully, Brian T., et al.. (1995). `Wolf-249' and FBL 5-2M: An Autumn Celery Cultivar and Breeding Line for Florida. HortScience. 30(5). 1104–1105. 1 indexed citations
18.
Fédérer, Walter T. & Brian T. Scully. (1993). A parsimonious statistical design and breeding procedure for evaluating and selecting desirable characteristics over environments. Theoretical and Applied Genetics. 86(5). 612–620. 15 indexed citations
19.
Wiedenfeld, R. P., et al.. (1990). FOLIAR NITROGEN EFFECTS ON ONION PRODUCTION AND DAMAGE BY THRIPS AND PURPLE BLOTCH. HortScience. 25(8). 864a–864. 2 indexed citations
20.
Provvidenti, R., Brian T. Scully, D. E. Halseth, & Don Wallace. (1989). B-21: A Dry Black Bean Breeding Line with Multiple Virus Resistance. HortScience. 24(6). 1049–1049. 4 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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