Brian K. Dalley

1.4k total citations
22 papers, 697 citations indexed

About

Brian K. Dalley is a scholar working on Molecular Biology, Cell Biology and Ecology. According to data from OpenAlex, Brian K. Dalley has authored 22 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Ecology. Recurrent topics in Brian K. Dalley's work include Genomics, phytochemicals, and oxidative stress (3 papers), Epigenetics and DNA Methylation (3 papers) and Molecular Biology Techniques and Applications (3 papers). Brian K. Dalley is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (3 papers), Epigenetics and DNA Methylation (3 papers) and Molecular Biology Techniques and Applications (3 papers). Brian K. Dalley collaborates with scholars based in United States, Israel and Poland. Brian K. Dalley's co-authors include Miriam Golomb, Peter Peterson, Qian Yang, David A. Jones, Brett Milash, Adam R. Karpf, Hans Albertsen, David A. Nix, Bradley R. Cairns and Timothy J. Parnell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Brian K. Dalley

22 papers receiving 688 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 K. Dalley United States 12 458 81 68 68 63 22 697
Seweryn Mroczek Poland 15 871 1.9× 27 0.3× 28 0.4× 93 1.4× 30 0.5× 27 985
Shuhao Zhu Austria 15 662 1.4× 113 1.4× 19 0.3× 25 0.4× 22 0.3× 23 903
Alexander Watson United Kingdom 8 355 0.8× 67 0.8× 22 0.3× 67 1.0× 76 1.2× 17 870
Veronica G. Beaudry United States 11 510 1.1× 28 0.3× 13 0.2× 43 0.6× 159 2.5× 11 733
Samuel Lessard United States 7 651 1.4× 148 1.8× 17 0.3× 67 1.0× 42 0.7× 19 911
Justin S. Becker United States 11 975 2.1× 23 0.3× 19 0.3× 70 1.0× 59 0.9× 12 1.2k
Christian Schuberth Germany 12 533 1.2× 30 0.4× 11 0.2× 28 0.4× 29 0.5× 17 793
Victoria E. Brown United States 13 934 2.0× 49 0.6× 18 0.3× 186 2.7× 210 3.3× 14 1.3k
Glòria Mas Martín United States 20 1.7k 3.7× 67 0.8× 26 0.4× 114 1.7× 82 1.3× 31 1.8k

Countries citing papers authored by Brian K. Dalley

Since Specialization
Citations

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

Fields of papers citing papers by Brian K. Dalley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian K. Dalley

This figure shows the co-authorship network connecting the top 25 collaborators of Brian K. Dalley. A scholar is included among the top collaborators of Brian K. Dalley 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 K. Dalley. Brian K. Dalley 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.
Davidson, Natalie R., Mollie E. Barnard, Amy Campbell, et al.. (2024). Molecular Subtypes of High-Grade Serous Ovarian Cancer across Racial Groups and Gene Expression Platforms. Cancer Epidemiology Biomarkers & Prevention. 33(8). 1114–1125. 4 indexed citations
2.
Devarajan, Asokan, Brian K. Dalley, Vivek Nanda, et al.. (2024). Exercise mitigates reductive stress-induced cardiac remodeling in mice. Redox Biology. 75. 103263–103263. 4 indexed citations
3.
Quiles, Justin M., et al.. (2022). Transgenic Expression of Nrf2 Induces a Pro-Reductive Stress and Adaptive Cardiac Remodeling in the Mouse. Genes. 13(9). 1514–1514. 11 indexed citations
4.
Quiles, Justin M., Mark E. Pepin, Sandeep B. Shelar, et al.. (2021). Identification of Nrf2-responsive microRNA networks as putative mediators of myocardial reductive stress. Scientific Reports. 11(1). 11977–11977. 18 indexed citations
5.
Gupta, Sumati, Timothy J. Parnell, Andrew Butterfield, et al.. (2018). Histone Deacetylase Inhibition Has Targeted Clinical Benefit in ARID1A -Mutated Advanced Urothelial Carcinoma. Molecular Cancer Therapeutics. 18(1). 185–195. 17 indexed citations
6.
Drummond, Micah J., Paul T. Reidy, Lisa Baird, Brian K. Dalley, & Michael Howard. (2017). Leucine Differentially Regulates Gene-Specific Translation in Mouse Skeletal Muscle. Journal of Nutrition. 147(9). 1616–1623. 11 indexed citations
7.
Dalley, Brian K., Lisa Baird, & Michael Howard. (2017). Studying Selenoprotein mRNA Translation Using RNA-Seq and Ribosome Profiling. Methods in molecular biology. 1661. 103–123. 8 indexed citations
8.
Grady, Sarah L., Stephanie Malfatti, Thusitha S. Gunasekera, et al.. (2017). A comprehensive multi-omics approach uncovers adaptations for growth and survival of Pseudomonas aeruginosa on n-alkanes. BMC Genomics. 18(1). 334–334. 22 indexed citations
9.
Mason, Clinton C., Jamshid S. Khorashad, Srinivas K. Tantravahi, et al.. (2015). Age-related mutations and chronic myelomonocytic leukemia. Leukemia. 30(4). 906–913. 95 indexed citations
10.
Wiles, Travis J., et al.. (2013). Combining Quantitative Genetic Footprinting and Trait Enrichment Analysis to Identify Fitness Determinants of a Bacterial Pathogen. PLoS Genetics. 9(8). e1003716–e1003716. 31 indexed citations
11.
12.
Corkins, Mark E., Cole Anderson, Bradley R. Cairns, et al.. (2012). Zinc-dependent Regulation of the adh1 Antisense Transcript in Fission Yeast. Journal of Biological Chemistry. 288(2). 759–769. 20 indexed citations
13.
Luo, Wen, Brett Milash, Brian K. Dalley, et al.. (2012). Antibody detection of translocations in Ewing sarcoma. EMBO Molecular Medicine. 4(6). 453–461. 4 indexed citations
14.
Hunt, Steven C., Sandra J. Hasstedt, Yuanpei Xin, et al.. (2011). Polymorphisms in the NPY2R Gene Show Significant Associations With BMI That Are Additive to FTO, MC4R, and NPFFR2 Gene Effects. Obesity. 19(11). 2241–2247. 34 indexed citations
15.
Nix, David A., et al.. (2010). Next generation tools for genomic data generation, distribution, and visualization. SHILAP Revista de lepidopterología. 37 indexed citations
16.
Nix, David A., Derick G. Holt, Brett Milash, et al.. (2008). Dynamic transcriptome of Schizosaccharomyces pombe shown by RNA-DNA hybrid mapping. Nature Genetics. 40(8). 977–986. 79 indexed citations
17.
Adey, Nils B., et al.. (2002). Gains in Sensitivity with a Device that Mixes Microarray Hybridization Solution in a 25-μm-Thick Chamber. Analytical Chemistry. 74(24). 6413–6417. 54 indexed citations
18.
Dalley, Brian K., et al.. (1998). Analysis of Protein Interactions Between Protein Phosphatase 1 and Noncatalytic Subunits Using the Yeast Two-Hybrid Assay. Humana Press eBooks. 93. 251–261. 4 indexed citations
19.
Dalley, Brian K., T M Rogalski, Gregory E. Tullis, Donald L Riddle, & Miriam Golomb. (1993). Post-transcriptional regulation of RNA polymerase II levels in Caenorhabditis elegans.. Genetics. 133(2). 237–245. 4 indexed citations
20.
Dalley, Brian K. & Miriam Golomb. (1992). Gene expression in the Caenorhabditis elegans dauer larva: Developmental regulation of Hsp90 and other genes. Developmental Biology. 151(1). 80–90. 80 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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