Daniel Standage

1.4k citations
10 papers · 976 · 1 hit paper · h-index 7

Impact in

Papers in

    • Forensic and Genetic Research 2
    • Insect and Arachnid Ecology and Behavior 1
    • Genomics and Phylogenetic Studies 5
    • Gene expression and cancer classification 3
    • Molecular Biology Techniques and Applications 2
    • CRISPR and Genetic Engineering 1

Daniel Standage

10 papers receiving 966 citations

Daniel Standage's Hit Papers

TAL Effector-Nucleotide Targeter (TALE-NT) 2.0: tools for TAL effector design and target prediction 2012 · 500 citations
5000+4+9Years since publication100200300400500

Peers

Daniel Standage
Comparison fields: 5 of 97
  • Aging 19
  • Molecular Biology 608
  • Genetics 224
  • Insect Science 99
  • Business and International Management 14
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Daniel Standage relative to Arun Somwarpet Seetharam United States Arun Somwarpet Seetharam's profile →
Citations per field
00.5×2×3×4.1×
Arun Somwarpet Seetharam · 1×
Citations per year

Countries citing papers authored by Daniel Standage

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Standage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
TAL Effector-Nucleotide Targeter (TALE-NT) 2.0: tools for TAL effector design and target prediction
Hit paper breakdown →
2012500
2 2015275
3 2016118
4 202025
5 202423
6 201217
7 201914
8 20162
9 20221
10 20261

About Daniel Standage

Daniel Standage is a scholar working on Genetics, Molecular Biology, Information Systems and Management, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 10 papers that have together received 976 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Gene expression and cancer classification (3 papers), Forensic and Genetic Research (2 papers), Molecular Biology Techniques and Applications (2 papers), CRISPR and Genetic Engineering (1 paper), Insect and Arachnid Ecology and Behavior (1 paper), Plant and animal studies (1 paper) and Insect symbiosis and bacterial influences (1 paper). The work is most often cited by research in Aging (19 citations), Molecular Biology (608 citations), Genetics (224 citations), Insect Science (99 citations) and Business and International Management (14 citations). Daniel Standage has collaborated with scholars based in United States, France and Denmark. Frequent co-authors include Volker Brendel, Nicholas J. Booher, John K. VanDyk, Adam Joseph Bogdanove, Erin Doyle, Daniel F. Voytas, Ali J. Berens, Amy L. Toth, Karl M. Glastad and Andrew Josef Severin. Their work appears in journals such as BMC Bioinformatics, Molecular Ecology, Frontiers in Genetics, Forensic Science International Genetics and Nucleic Acids Research.

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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