Dan Brown

783 citations
20 papers · 596 · h-index 14

Impact in

    • Wheat and Barley Genetics and Pathology
    • Plant Molecular Biology Research
    • Genetics and Plant Breeding
    • Plant Virus Research Studies
    • Transgenic Plants and Applications

Papers in

    • Wheat and Barley Genetics and Pathology 8
    • Plant Molecular Biology Research 3
    • Phytase and its Applications 3
    • Plant tissue culture and regeneration 6
    • Ginseng Biological Effects and Applications 4

Dan Brown

20 papers receiving 575 citations

Peers

Dan Brown
Comparison fields: 5 of 69
  • Plant Science 408
  • Biotechnology 70
  • Nutrition and Dietetics 85
  • Molecular Biology 301
  • Agronomy and Crop Science 42
Replace Greg Tanner with:
Greg Tanner Australia
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Edwige Gaby Nkouaya Mbanjo Nigeria
Kateřina Vaculová Czechia
Jinxi Huo China
Annika Wilhelmson Finland
Karthiyaini Damodharan South Korea
Lee Chae United States
Vita Krunglevičiūtė Lithuania
Walter De Man Belgium
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Citations per field
00.5×1.5×2.1×
Greg Tanner · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dan Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Brown Line = papers co-authored together Dan Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2007129
2 201869
3 200252
4 200251
5 201139
6 201736
7 200534
8 201332
9 201224
10 200724
11 199922
12 200316
13 200114
14 201313
15 201912
16 201011
17 20139
18 20155
19 20123
20
Non-coding RNA as an epigenetic regulator in yeast
20121

About Dan Brown

Dan Brown is a scholar working on Plant Science, Molecular Biology, Nutrition and Dietetics, Agronomy and Crop Science and Complementary and alternative medicine, having authored 20 papers that have together received 596 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (8 papers), Plant tissue culture and regeneration (6 papers), Food composition and properties (4 papers), Ginseng Biological Effects and Applications (4 papers), Plant Molecular Biology Research (3 papers), Crop Yield and Soil Fertility (3 papers), Phytase and its Applications (3 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Plant Science (408 citations), Biotechnology (70 citations), Nutrition and Dietetics (85 citations), Molecular Biology (301 citations) and Agronomy and Crop Science (42 citations). Dan Brown has collaborated with scholars based in Canada, Ireland and United States. Frequent co-authors include Brian Miki, O. M. Lukow, John Simmonds, Dwayne D. Hegedus, J. E. Brandle, Kirk Brown, Grant N. Pierce, Stephanie P. B. Caligiuri, Lindsay Brown and Nancy Ames. Their work appears in journals such as Cereal Chemistry, Analytical and Bioanalytical Chemistry, Theoretical and Applied Genetics, BMC Genomics and Journal of Functional Foods.

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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