Dan Brown

792 citations
21 papers · 638 · h-index 13

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
    • Phytase and its Applications 3
    • Plant Molecular Biology Research 2
    • Food composition and properties 4

Dan Brown

21 papers receiving 616 citations

Peers

Dan Brown
Comparison fields: 5 of 67
  • Plant Science 420
  • Biotechnology 67
  • Nutrition and Dietetics 94
  • Gastroenterology 23
  • Molecular Biology 301
Replace Greg J. Tanner with:
Greg J. Tanner Australia
Petra Hlásná Čepková Czechia
Annika Wilhelmson Finland
M. Múzquiz Spain
D.D. Kuzmicky United States
Liqun Li China
Jinxi Huo China
Pasqualina Colasuonno Italy
Kateřina Vaculová Czechia
Hazım Özkaya Türkiye
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Citations per field
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Greg J. 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

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007133
2 201878
3 200256
4 200254
5 201142
6 201740
7 200535
8 201335
9 201225
10 200724
11 199922
12 200316
13 201016
14 201313
15 201913
16 200113
17 20139
18 20156
19 20125
20 20102

About Dan Brown

Dan Brown is a scholar working on Plant Science, Nutrition and Dietetics, Agronomy and Crop Science, Molecular Biology and Gastroenterology, having authored 21 papers that have together received 638 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (8 papers), Ginseng Biological Effects and Applications (5 papers), Plant tissue culture and regeneration (5 papers), Food composition and properties (4 papers), Crop Yield and Soil Fertility (3 papers), Phytase and its Applications (3 papers), Plant Molecular Biology Research (2 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Plant Science (420 citations), Biotechnology (67 citations), Nutrition and Dietetics (94 citations), Gastroenterology (23 citations) and Molecular Biology (301 citations). Dan Brown has collaborated with scholars based in Canada, Ireland and United States. Frequent co-authors include Brian L. A. Miki, O. M. Lukow, Grant N. Pierce, Stephanie P. B. Caligiuri, Lindsay Brown, Dwayne D. Hegedus, John A. Simmonds, Kirk M. Brown, James E. Brandle and D. G. Humphreys. Their work appears in journals such as Cereal Chemistry, Plant Molecular Biology, Analytical and Bioanalytical Chemistry, Theoretical and Applied Genetics and FEBS Journal.

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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