Dan Brown

783 total citations
20 papers, 596 citations indexed

About

Dan Brown is a scholar working on Plant Science, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Dan Brown has authored 20 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 10 papers in Molecular Biology and 4 papers in Nutrition and Dietetics. Recurrent topics in Dan Brown's work include Wheat and Barley Genetics and Pathology (8 papers), Plant tissue culture and regeneration (6 papers) and Food composition and properties (4 papers). Dan Brown is often cited by papers focused on Wheat and Barley Genetics and Pathology (8 papers), Plant tissue culture and regeneration (6 papers) and Food composition and properties (4 papers). Dan Brown collaborates with scholars based in Canada, Ireland and United States. Dan Brown's co-authors include Brian Miki, O. M. Lukow, John Simmonds, Dwayne D. Hegedus, J. E. Brandle, Grant N. Pierce, Kirk Brown, Stephanie P. B. Caligiuri, Lindsay Brown and Nancy Ames and has published in prestigious journals such as International Journal of Molecular Sciences, Theoretical and Applied Genetics and Plant Molecular Biology.

In The Last Decade

Dan Brown

20 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Brown Canada	14	408	301	85	70	62	20	596
Greg Tanner Australia	7	545 1.3×	400 1.3×	74 0.9×	34 0.5×	118 1.9×	8	788
Jinxi Huo China	11	383 0.9×	277 0.9×	24 0.3×	17 0.2×	70 1.1×	20	605
Kateřina Vaculová Czechia	14	336 0.8×	85 0.3×	220 2.6×	39 0.6×	158 2.5×	53	586
Sonia Gómez‐Galera Spain	8	550 1.3×	355 1.2×	78 0.9×	139 2.0×	44 0.7×	9	778
Jochen U. Ziegler Germany	9	208 0.5×	75 0.2×	158 1.9×	13 0.2×	82 1.3×	10	452
Karthiyaini Damodharan South Korea	14	200 0.5×	230 0.8×	105 1.2×	33 0.5×	213 3.4×	15	524
Alojzije Lalić Croatia	13	411 1.0×	61 0.2×	112 1.3×	19 0.3×	82 1.3×	50	546
Edwige Gaby Nkouaya Mbanjo Nigeria	12	400 1.0×	88 0.3×	86 1.0×	32 0.5×	73 1.2×	24	515
P. C. G. Bandaranayake Sri Lanka	13	472 1.2×	183 0.6×	46 0.5×	16 0.2×	36 0.6×	45	587
Muhammad Amjad Pakistan	13	460 1.1×	164 0.5×	45 0.5×	19 0.3×	75 1.2×	49	574

Countries citing papers authored by Dan Brown

Since Specialization

Citations

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

Fields of papers citing papers by Dan Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Brown

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

All Works

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20 of 20 papers shown

Parikh, Mihir, Pema Raj, Liping Yu, et al.. (2019). Ginseng Berry Extract Rich in Phenolic Compounds Attenuates Oxidative Stress but not Cardiac Remodeling post Myocardial Infarction. International Journal of Molecular Sciences. 20(4). 983–983. 12 indexed citations

Brown, Lindsay, Stephanie P. B. Caligiuri, Dan Brown, & Grant N. Pierce. (2018). Clinical trials using functional foods provide unique challenges. Journal of Functional Foods. 45. 233–238. 69 indexed citations

Elhiti, Mohamed, et al.. (2017). Adventitious root formation of in vitro peach shoots is regulated by auxin and ethylene. Scientia Horticulturae. 226. 250–260. 36 indexed citations

Elhiti, Mohamed, Huaiyu Wang, Ryan S. Austin, et al.. (2015). Generation of chemically induced mutations using in vitro propagated shoot tip tissues for genetic improvement of fruit trees. Plant Cell Tissue and Organ Culture (PCTOC). 124(2). 447–452. 5 indexed citations

Thomas, J. B., S. L. Fox, Brent McCallum, et al.. (2013). Vesper hard red spring wheat. Canadian Journal of Plant Science. 93(2). 315–321. 9 indexed citations

Wu, Di, et al.. (2013). The root transcriptome for North American ginseng assembled and profiled across seasonal development. BMC Genomics. 14(1). 564–564. 32 indexed citations

Thomas, J. B., S. L. Fox, Brent McCallum, et al.. (2013). Vesper hard red spring wheat. Canadian Journal of Plant Science. 93(2). 315–321. 13 indexed citations

Murray, Struan C., et al.. (2012). Non-coding RNA as an epigenetic regulator in yeast. FEBS Journal. 279. 13–13. 1 indexed citations

Yuk, Jimmy, et al.. (2012). Distinguishing Ontario ginseng landraces and ginseng species using NMR-based metabolomics. Analytical and Bioanalytical Chemistry. 405(13). 4499–4509. 24 indexed citations

10.

Humphreys, D. G., T. F. Townley‐Smith, E. Czarnecki, et al.. (2012). Snowstar hard white spring wheat. Canadian Journal of Plant Science. 93(1). 143–148. 3 indexed citations

11.

Uchendu, Esther E., Gopinadhan Paliyath, Dan Brown, & Praveen K. Saxena. (2011). In vitro propagation of North American ginseng (Panax quinquefolius L.). In Vitro Cellular & Developmental Biology - Plant. 47(6). 710–718. 39 indexed citations

12.

Humphreys, D. G., T. F. Townley‐Smith, O. M. Lukow, et al.. (2010). Burnside extra strong hard red spring wheat. Canadian Journal of Plant Science. 90(1). 79–84. 11 indexed citations

13.

Brandle, J. E., Dan Brown, Kirk Brown, et al.. (2007). pORE: a modular binary vector series suited for both monocot and dicot plant transformation. Transgenic Research. 16(6). 771–781. 129 indexed citations

14.

Lukow, O. M., et al.. (2007). Rapid Assessment of Glutenin and Gliadin in Wheat by UV Spectrophotometer. Crop Science. 47(1). 91–99. 24 indexed citations

15.

Ames, Nancy, et al.. (2005). Effects of Genotype and Environment on the Starch Properties and End‐Product Quality of Oats. Cereal Chemistry. 82(2). 197–203. 34 indexed citations

16.

Wu, Keqiang, Ming Hu, Teresa Martin, et al.. (2003). The cryptic enhancer elements of the tCUP promoter. Plant Molecular Biology. 51(3). 351–362. 16 indexed citations

17.

Malik, K. A., Keqiang Wu, Xiu‐Qing Li, et al.. (2002). A constitutive gene expression system derived from the tCUP cryptic promoter elements. Theoretical and Applied Genetics. 105(4). 505–514. 52 indexed citations

18.

Radovanović, N., Sylvie Cloutier, Dan Brown, D. G. Humphreys, & O. M. Lukow. (2002). Genetic Variance for Gluten Strength Contributed by High Molecular Weight Glutenin Proteins. Cereal Chemistry. 79(6). 843–849. 51 indexed citations

19.

Wesley, Annie S., O. M. Lukow, R. I. H. McKenzie, Nancy Ames, & Dan Brown. (2001). Effect of Multiple Substitution of Glutenin and Gliadin Proteins on Flour Quality of Canada Prairie Spring Wheat. Cereal Chemistry. 78(1). 69–73. 14 indexed citations

20.

Wesley, Annie S., O. M. Lukow, Nancy Ames, et al.. (1999). Effect of Single Substitution of Glutenin or Gliadin Proteins on Flour Quality of Alpha 16, a Canada Prairie Spring Wheat Breeders' Line. Cereal Chemistry. 76(5). 743–747. 22 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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