Ryan T. Leenay

1.7k total citations
12 papers, 1.1k citations indexed

About

Ryan T. Leenay is a scholar working on Molecular Biology, Genetics and Insect Science. According to data from OpenAlex, Ryan T. Leenay has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Insect Science. Recurrent topics in Ryan T. Leenay's work include CRISPR and Genetic Engineering (11 papers), RNA and protein synthesis mechanisms (6 papers) and Insect symbiosis and bacterial influences (3 papers). Ryan T. Leenay is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), RNA and protein synthesis mechanisms (6 papers) and Insect symbiosis and bacterial influences (3 papers). Ryan T. Leenay collaborates with scholars based in United States, Germany and France. Ryan T. Leenay's co-authors include Chase L. Beisel, Michelle L. Luo, Adam S. Mullis, Rebecca Slotkowski, Kenneth R. Maksimchuk, Alexandra E. Briner, Rodolphe Barrangou, Maria Elena Martino, François Leulier and Thorsten Bischler and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Biotechnology.

In The Last Decade

Ryan T. Leenay

12 papers receiving 1.1k citations

Peers

Ryan T. Leenay

GENET

ECOLO

BIM

Frank Hille Germany

Michelle L. Luo United States

Gregory W. Goldberg United States

Anton Tikhonov Russia

César Díez‐Villaseñor Spain

Rafael Pinilla‐Redondo Denmark

Nadja Heidrich Germany

Lun Cui France

Marnix Vlot Netherlands

Ruth Kiro Israel

Frank Hille Germany

Ryan T. Leenay

897 ×0.9

167 ×0.6

GENET

94 ×0.5

183 ×1.6

ECOLO

94 ×0.9

BIM

Citations per year, relative to Ryan T. Leenay Ryan T. Leenay (= 1×) peers Frank Hille

Countries citing papers authored by Ryan T. Leenay

Since Specialization

Citations

This map shows the geographic impact of Ryan T. Leenay'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 Ryan T. Leenay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Leenay more than expected).

Fields of papers citing papers by Ryan T. Leenay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan T. Leenay. 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 Ryan T. Leenay. The network helps show where Ryan T. Leenay may publish in the future.

Co-authorship network of co-authors of Ryan T. Leenay

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan T. Leenay. A scholar is included among the top collaborators of Ryan T. Leenay 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 Ryan T. Leenay. Ryan T. Leenay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Collias, Daphne, Ryan T. Leenay, Rebecca Slotkowski, et al.. (2020). A positive, growth-based PAM screen identifies noncanonical motifs recognized by the S. pyogenes Cas9. Science Advances. 6(29). eabb4054–eabb4054. 22 indexed citations

Leenay, Ryan T., Amirali Aghazadeh, Joseph Hiatt, et al.. (2019). Large dataset enables prediction of repair after CRISPR–Cas9 editing in primary T cells. Nature Biotechnology. 37(9). 1034–1037. 82 indexed citations

Liao, Chunyu, Rebecca Slotkowski, Steven R. Denny, et al.. (2019). Modular one-pot assembly of CRISPR arrays enables library generation and reveals factors influencing crRNA biogenesis. Nature Communications. 10(1). 2948–2948. 69 indexed citations

Smith, Olivia, Shayan Hosseinzadeh, Weilun Tan, et al.. (2019). Fast-Seq, a simple method for rapid and inexpensive validation of packaged ssAAV genomes in academic settings. Human Gene Therapy Methods. 1 indexed citations

Smith, Olivia, Shayan Hosseinzadeh, Weilun Tan, et al.. (2019). Fast-Seq: A Simple Method for Rapid and Inexpensive Validation of Packaged Single-Stranded Adeno-Associated Viral Genomes in Academic Settings. Human Gene Therapy Methods. 30(6). 195–205. 17 indexed citations

Martino, Maria Elena, Pauline Joncour, Ryan T. Leenay, et al.. (2018). Bacterial Adaptation to the Host's Diet Is a Key Evolutionary Force Shaping Drosophila-Lactobacillus Symbiosis. Cell Host & Microbe. 24(1). 109–119.e6. 91 indexed citations

Leenay, Ryan T., et al.. (2018). Genome Editing with CRISPR‐Cas9 in Lactobacillus plantarum Revealed That Editing Outcomes Can Vary Across Strains and Between Methods. Biotechnology Journal. 14(3). 1700583–1700583. 83 indexed citations

Dugar, Gaurav, et al.. (2018). CRISPR RNA-Dependent Binding and Cleavage of Endogenous RNAs by the Campylobacter jejuni Cas9. Molecular Cell. 69(5). 893–905.e7. 105 indexed citations

Leenay, Ryan T. & Chase L. Beisel. (2016). Deciphering, Communicating, and Engineering the CRISPR PAM. Journal of Molecular Biology. 429(2). 177–191. 122 indexed citations

10.

Leenay, Ryan T., Kenneth R. Maksimchuk, Rebecca Slotkowski, et al.. (2016). Identifying and Visualizing Functional PAM Diversity across CRISPR-Cas Systems. Molecular Cell. 62(1). 137–147. 240 indexed citations

11.

Luo, Michelle L., Ryan T. Leenay, & Chase L. Beisel. (2015). Current and future prospects for CRISPR‐based tools in bacteria. Biotechnology and Bioengineering. 113(5). 930–943. 86 indexed citations

12.

Luo, Michelle L., Adam S. Mullis, Ryan T. Leenay, & Chase L. Beisel. (2014). Repurposing endogenous type I CRISPR-Cas systems for programmable gene repression. Nucleic Acids Research. 43(1). 674–681. 195 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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