John K. VanDyk

8 papers receiving 556 citations

John K. VanDyk's Hit Papers

TAL Effector-Nucleotide Targeter (TALE-NT) 2.0: tools for TAL effector design and target prediction 2012 · 471 citations
4710+4+9Years since publication100200300400

Peers

John K. VanDyk
Comparison fields: 5 of 88
  • Aging 14
  • Ecological Modeling 27
  • Business and International Management 12
  • Molecular Biology 373
  • Plant Science 147
Replace David S. Conant with:
David S. Conant United States
Jessica Alföldi United States
Shaohua Xu China
Timothy Daley United States
Kin Chung Lam Germany
Raghuvir Viswanatha United States
Matthew McNeill United States
Ji-Ping Wang United States
Daniel Standage United States
Daniel A. Pollard United States
John K. VanDyk relative to David S. Conant United States David S. Conant's profile →
Citations per field
00.5×3.9×
David S. Conant · 1×
Citations per year

Countries citing papers authored by John K. VanDyk

Since Specialization
Citations

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

Fields of papers citing papers by John K. VanDyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John K. VanDyk. 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 John K. VanDyk. The network helps show where John K. VanDyk may publish in the future.

Co-authors

The 15 scholars most cited alongside John K. VanDyk, 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 John K. VanDyk Line = papers co-authored together John K. VanDyk links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
TAL Effector-Nucleotide Targeter (TALE-NT) 2.0: tools for TAL effector design and target prediction
Hit paper breakdown →
2012471
2 201353
3 199525
4 20086
5 20005
6 20105
7 20071
8
Pro Drupal Development, Second Edition
20091
9 19950

About John K. VanDyk

John K. VanDyk is a scholar working on Molecular Biology, Ecological Modeling, Plant Science, Computer Networks and Communications and Sociology and Political Science, having authored 9 papers that have together received 567 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (2 papers), Date Palm Research Studies (1 paper), Forensic Entomology and Diptera Studies (1 paper), Plant and animal studies (1 paper), Hemiptera Insect Studies (1 paper), Computational Physics and Python Applications (1 paper), Insect Pest Control Strategies (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Aging (14 citations), Ecological Modeling (27 citations), Business and International Management (12 citations), Molecular Biology (373 citations) and Plant Science (147 citations). John K. VanDyk has collaborated with scholars based in United States, France and Costa Rica. Frequent co-authors include Erin Doyle, Daniel Standage, Adam J. Bogdanove, Nicholas J. Booher, Volker Brendel, Daniel F. Voytas, G. F. Vance, Wayne A. Rowley, R. D. Stevenson and Gregory W. Courtney. Their work appears in journals such as Nucleic Acids Research, Annual Review of Entomology, Journal of Forensic Sciences, BioScience and American Entomologist.

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.

Explore authors with similar magnitude of impact