David D. Dickey

960 citations
15 papers · 703 · h-index 10

Impact in

    • Wnt/β-catenin signaling in development and cancer
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering
    • Developmental Biology and Gene Regulation
    • Cancer-related gene regulation
    • Virus-based gene therapy research

Papers in

    • RNA Interference and Gene Delivery 6
    • Advanced biosensing and bioanalysis techniques 6
    • RNA and protein synthesis mechanisms 3
    • Virus-based gene therapy research 4

David D. Dickey

15 papers receiving 671 citations

Peers

David D. Dickey
Comparison fields: 5 of 81
  • Molecular Biology 424
  • Genetics 159
  • Soil Science 53
  • Cell Biology 69
  • Infectious Diseases 57
Replace RJ Davis with:
RJ Davis United States
Indriķis Muižnieks Latvia
Michael Spohn Germany
Alexandre Brunet Canada
Rebecca Andersen United States
Rong Yan China
Stephanie L. Murphy United States
Quinn D. Gunst Netherlands
Maria Teresa Divizia Italy
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Citations per field
00.5×6.9×
RJ Davis · 1×
Citations per year

Countries citing papers authored by David D. Dickey

Since Specialization
Citations

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

Fields of papers citing papers by David D. Dickey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David D. Dickey. 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 David D. Dickey. The network helps show where David D. Dickey may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1990209
2 2009138
3 201679
4 197069
5 201554
6 196433
7 201732
8 201126
9 201626
10 201618
11 20156
12 20125
13 20165
14 19642
15 20151

About David D. Dickey

David D. Dickey is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Civil and Structural Engineering and Epidemiology, having authored 15 papers that have together received 703 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Virus-based gene therapy research (4 papers), RNA and protein synthesis mechanisms (3 papers), Soil and Unsaturated Flow (2 papers), Respiratory viral infections research (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Crop Yield and Soil Fertility (1 paper). The work is most often cited by research in Molecular Biology (424 citations), Genetics (159 citations), Soil Science (53 citations), Cell Biology (69 citations) and Infectious Diseases (57 citations). David D. Dickey has collaborated with scholars based in United States, Italy and Hungary. Frequent co-authors include Chris Kintner, Paul L. Brown, Paloma H. Giangrande, Katherine J. D. A. Excoffon, Joseph Zabner, David V. Schaffer, James T. Koerber, Brian K. Kaspar, Shaf Keshavjee and Matthew Murtha. Their work appears in journals such as Molecular Therapy, Soil Science Society of America Journal, Methods, Journal of Virology and Molecular Therapy — Nucleic Acids.

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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