Daniel Standage
Impact in
- Insect Science top 10%
- Insect symbiosis and bacterial influences
Papers in
-
- Genomics and Phylogenetic Studies 4
- Molecular Biology Techniques and Applications 2
- Gene expression and cancer classification 2
- Machine Learning in Bioinformatics 1
- Genetics 4
- Forensic and Genetic Research 2
- Genetic Associations and Epidemiology 1
- Insect and Arachnid Ecology and Behavior 1
- Co-authors
- Volker Brendel (4 shared papers)John K. VanDyk (1 shared paper)Adam J. Bogdanove (1 shared paper)Daniel F. Voytas (1 shared paper)Erin Doyle (1 shared paper)Nicholas J. Booher (1 shared paper)Karl M. Glastad (1 shared paper)Ali J. Berens (1 shared paper)
- Journals
- iScience (1 paper)Molecular Ecology (1 paper)Frontiers in Genetics (1 paper)The Plant Cell (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Daniel Standage
8 papers receiving 621 citations
Daniel Standage's Hit Papers
Peers
Comparison fields: 5 of 71
- Aging 16
- Insect Science 82
- Genetics 179
- Molecular Biology 426
- Business and International Management 12
Countries citing papers authored by Daniel Standage
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | TAL Effector-Nucleotide Targeter (TALE-NT) 2.0: tools for TAL effector design and target prediction Hit paper breakdown → | 2012 | 468 |
| 2 | 2016 | 103 | |
| 3 | 2020 | 22 | |
| 4 | 2012 | 15 | |
| 5 | 2019 | 12 | |
| 6 | 2017 | 3 | |
| 7 | 2022 | 1 | |
| 8 | 2016 | 1 | |
| 9 | 2026 | 0 |
About Daniel Standage
Daniel Standage is a scholar working on Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics, Information Systems and Management and Insect Science, having authored 9 papers that have together received 625 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Forensic and Genetic Research (2 papers), Molecular Biology Techniques and Applications (2 papers), Gene expression and cancer classification (2 papers), Machine Learning in Bioinformatics (1 paper), Genetic Associations and Epidemiology (1 paper), Plant and animal studies (1 paper) and Insect and Arachnid Ecology and Behavior (1 paper). The work is most often cited by research in Aging (16 citations), Insect Science (82 citations), Genetics (179 citations), Molecular Biology (426 citations) and Business and International Management (12 citations). Daniel Standage has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Volker Brendel, John K. VanDyk, Adam J. Bogdanove, Daniel F. Voytas, Erin Doyle, Nicholas J. Booher, Karl M. Glastad, Ali J. Berens, Andrew Severin and Amy L. Toth. Their work appears in journals such as iScience, Molecular Ecology, Frontiers in Genetics, The Plant Cell and BMC Bioinformatics.
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.