Daniel C. Brown

4.9k citations
186 papers · 4.1k · h-index 36

Impact in

  • Plant Science top 0.5%
    • Plant Molecular Biology Research
    • Seed Germination and Physiology
    • Plant Genetic and Mutation Studies
    • Plant Stress Responses and Tolerance
    • Plant tissue culture and regeneration
    • Plant Reproductive Biology
    • Plant Gene Expression Analysis

Papers in

    • Plant Genetic and Mutation Studies 23
    • Plant Molecular Biology Research 20
    • Seed Germination and Physiology 19
    • Plant tissue culture and regeneration 57
    • Plant Gene Expression Analysis 10

Daniel C. Brown

175 papers receiving 3.7k citations

Peers

Daniel C. Brown
Comparison fields: 5 of 146
  • Plant Science 3.0k
  • Molecular Biology 2.6k
  • Biotechnology 335
  • Oceanography 207
  • Physiology 72
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Citations per field
00.5×2×3×4.1×
Tingting Liu · 1×
Citations per year

Countries citing papers authored by Daniel C. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel C. 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 Daniel C. Brown Line = papers co-authored together Daniel C. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005290
2 1997283
3 2000148
4 1985143
5 2004122
6 1979116
7 1984111
8 199597
9 199196
10 200093
11 200283
12 198981
13 199581
14 200778
15 198075
16 198669
17 200367
18 198661
19 200859
20
Biotechnology and the improvement of forage legumes
199756

About Daniel C. Brown

Daniel C. Brown is a scholar working on Plant Science, Molecular Biology, Oceanography, Ocean Engineering and Aerospace Engineering, having authored 186 papers that have together received 4.1k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (57 papers), Underwater Acoustics Research (44 papers), Plant Genetic and Mutation Studies (23 papers), Plant Molecular Biology Research (20 papers), Seed Germination and Physiology (19 papers), Underwater Vehicles and Communication Systems (17 papers), Advanced SAR Imaging Techniques (15 papers) and Plant Gene Expression Analysis (10 papers). The work is most often cited by research in Plant Science (3.0k citations), Molecular Biology (2.6k citations), Biotechnology (335 citations), Oceanography (207 citations) and Physiology (72 citations). Daniel C. Brown has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Lining Tian, Trevor A. Thorpe, Keqiang Wu, A. Atanassov, Brian Miki, Bryan D. McKersie, Marysia Latoszek‐Green, E. G. M. Meijer, Zhen Yang and Paul Pechan. Their work appears in journals such as The Journal of the Acoustical Society of America, Plant Cell Tissue and Organ Culture (PCTOC), IEEE Journal of Oceanic Engineering, Plant Cell Reports and Physiologia Plantarum.

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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