Daniel F. Voytas

39.6k total citations · 19 hit papers
191 papers, 25.8k citations indexed

About

Daniel F. Voytas is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Daniel F. Voytas has authored 191 papers receiving a total of 25.8k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Molecular Biology, 129 papers in Plant Science and 17 papers in Biotechnology. Recurrent topics in Daniel F. Voytas's work include CRISPR and Genetic Engineering (115 papers), Plant Virus Research Studies (73 papers) and Chromosomal and Genetic Variations (72 papers). Daniel F. Voytas is often cited by papers focused on CRISPR and Genetic Engineering (115 papers), Plant Virus Research Studies (73 papers) and Chromosomal and Genetic Variations (72 papers). Daniel F. Voytas collaborates with scholars based in United States, China and France. Daniel F. Voytas's co-authors include Adam J. Bogdanove, Tomáš Čermák, Colby G. Starker, Nicholas J. Baltes, Michelle Christian, Erin Doyle, Yong Zhang, Clarice Schmidt, Feng Zhang and J. Keith Joung and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel F. Voytas

189 papers receiving 25.1k citations

Hit Papers

Efficient design and assembly of custom TALEN and other T... 2009 2026 2014 2020 2011 2017 2010 2011 2012 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel F. Voytas United States 79 21.2k 13.2k 3.6k 1.7k 1.6k 191 25.8k
Jin‐Soo Kim South Korea 73 21.0k 1.0× 4.0k 0.3× 4.8k 1.3× 1.5k 0.8× 628 0.4× 333 24.2k
Luciano A. Marraffini United States 49 25.4k 1.2× 2.8k 0.2× 6.0k 1.7× 2.4k 1.4× 813 0.5× 88 28.1k
F. Ann Ran United States 19 29.0k 1.4× 3.0k 0.2× 6.5k 1.8× 1.5k 0.9× 608 0.4× 25 32.3k
Le Cong United States 34 17.5k 0.8× 2.1k 0.2× 4.1k 1.1× 881 0.5× 385 0.2× 60 20.7k
Xuebing Wu United States 25 18.8k 0.9× 2.1k 0.2× 4.4k 1.2× 1000 0.6× 368 0.2× 35 20.7k
Jeffry D. Sander United States 31 12.6k 0.6× 2.0k 0.1× 3.1k 0.9× 839 0.5× 319 0.2× 41 14.2k
Wenyan Jiang China 19 13.7k 0.6× 1.6k 0.1× 3.3k 0.9× 1.1k 0.6× 396 0.3× 39 15.5k
David Scott United States 34 20.7k 1.0× 2.1k 0.2× 4.0k 1.1× 980 0.6× 381 0.2× 53 24.2k
Krzysztof Chylinski Sweden 8 13.3k 0.6× 2.1k 0.2× 2.9k 0.8× 1.3k 0.7× 427 0.3× 9 14.4k
Ines Fonfara Germany 9 11.8k 0.6× 2.0k 0.1× 2.5k 0.7× 1.1k 0.6× 382 0.2× 9 12.8k

Countries citing papers authored by Daniel F. Voytas

Since Specialization
Citations

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

Fields of papers citing papers by Daniel F. Voytas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel F. Voytas

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Voytas. A scholar is included among the top collaborators of Daniel F. Voytas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel F. Voytas. Daniel F. Voytas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Voytas, Daniel F., et al.. (2025). Viral delivery of recombinases activates heritable genetic switches in plants. PLANT PHYSIOLOGY. 197(3). 1 indexed citations
2.
Butler, Nathaniel, et al.. (2025). Viral‐mediated delivery of morphogenic regulators enables leaf transformation in Sorghum bicolor (L.). Plant Biotechnology Journal. 23(10). 4491–4499. 2 indexed citations
3.
Kumar, Jitesh, Redeat Tibebu, Maria Elena Gamo, et al.. (2023). An extensible vector toolkit and parts library for advanced engineering of plant genomes. The Plant Genome. 16(2). e20312–e20312. 14 indexed citations
4.
Nasti, Ryan A., et al.. (2022). Direct delivery and fast-treated Agrobacterium co-culture (Fast-TrACC) plant transformation methods for Nicotiana benthamiana. Nature Protocols. 18(1). 81–107. 43 indexed citations
5.
Liu, Degao, Changtian Pan, Ugrappa Nagalakshmi, et al.. (2022). Heritable base-editing in Arabidopsis using RNA viral vectors. PLANT PHYSIOLOGY. 189(4). 1920–1924. 30 indexed citations
6.
Nasti, Ryan A., et al.. (2021). Fast-TrACC: A Rapid Method for Delivering and Testing Gene Editing Reagents in Somatic Plant Cells. SHILAP Revista de lepidopterología. 2. 6 indexed citations
7.
Weiss, Trevor, Xiaojun Kang, Hui Zhao, et al.. (2020). Optimization of multiplexed CRISPR/Cas9 system for highly efficient genome editing in Setaria viridis. The Plant Journal. 104(3). 828–838. 45 indexed citations
8.
Nasti, Ryan A., et al.. (2019). Plant gene editing through de novo induction of meristems. Nature Biotechnology. 38(1). 84–89. 356 indexed citations breakdown →
9.
Zsögön, Agustín, Tomáš Čermák, Emmanuel Rezende Naves, et al.. (2018). De novo domestication of wild tomato using genome editing. Nature Biotechnology. 36(12). 1211–1216. 535 indexed citations breakdown →
10.
Čermák, Tomáš, Shaun J. Curtin, Javier Gil‐Humanes, et al.. (2017). A Multipurpose Toolkit to Enable Advanced Genome Engineering in Plants. The Plant Cell. 29(6). 1196–1217. 454 indexed citations breakdown →
11.
Etten, Jamie L. Van, Michael D. Nyquist, Yingming Li, et al.. (2017). Targeting a Single Alternative Polyadenylation Site Coordinately Blocks Expression of Androgen Receptor mRNA Splice Variants in Prostate Cancer. Cancer Research. 77(19). 5228–5235. 51 indexed citations
12.
Wilson, Mark C., Andrew M. Mutka, Aaron W. Hummel, et al.. (2017). Gene expression atlas for the food security crop cassava. New Phytologist. 213(4). 1632–1641. 82 indexed citations
13.
Gil‐Humanes, Javier, Yanpeng Wang, Zhen Liang, et al.. (2016). High‐efficiency gene targeting in hexaploid wheat using DNA replicons and CRISPR /Cas9. The Plant Journal. 89(6). 1251–1262. 252 indexed citations
14.
Osborn, Mark J., Richard Gabriel, Beau R. Webber, et al.. (2014). Fanconi Anemia Gene Editing by the CRISPR/Cas9 System. Human Gene Therapy. 26(2). 114–126. 91 indexed citations
15.
Baltes, Nicholas J., Javier Gil‐Humanes, Tomáš Čermák, Paul Atkins, & Daniel F. Voytas. (2014). DNA Replicons for Plant Genome Engineering  . The Plant Cell. 26(1). 151–163. 367 indexed citations breakdown →
16.
Haun, William J., Benjamin M. Clasen, Zachary L. Demorest, et al.. (2014). Improved soybean oil quality by targeted mutagenesis of the fatty acid desaturase 2 gene family. Plant Biotechnology Journal. 12(7). 934–940. 359 indexed citations breakdown →
17.
Voytas, Daniel F.. (2014). Precise engineering of plant genomes with sequence specific nucleases. 1 indexed citations
18.
Clark, Karl J., Daniel F. Voytas, & Stephen C. Ekker. (2011). A TALE of Two Nucleases: Gene Targeting for the Masses?. Zebrafish. 8(3). 147–149. 53 indexed citations
19.
Sander, Jeffry D., Morgan L. Maeder, Deepak Reyon, et al.. (2010). ZiFiT (Zinc Finger Targeter): an updated zinc finger engineering tool. Nucleic Acids Research. 38(Web Server). W462–W468. 269 indexed citations
20.
Keeney, Jill B., Karen Chapman, Daniel F. Voytas, et al.. (1995). Multiple Molecular Determinants for Retrotransposition in a Primer tRNA. Molecular and Cellular Biology. 15(1). 217–226. 58 indexed citations

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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