Jonathan Strecker

2.8k total citations · 2 hit papers
18 papers, 1.6k citations indexed

About

Jonathan Strecker is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Jonathan Strecker has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Plant Science and 3 papers in Cell Biology. Recurrent topics in Jonathan Strecker's work include CRISPR and Genetic Engineering (10 papers), RNA and protein synthesis mechanisms (5 papers) and Chromosomal and Genetic Variations (4 papers). Jonathan Strecker is often cited by papers focused on CRISPR and Genetic Engineering (10 papers), RNA and protein synthesis mechanisms (5 papers) and Chromosomal and Genetic Variations (4 papers). Jonathan Strecker collaborates with scholars based in United States, Canada and Denmark. Jonathan Strecker's co-authors include Feng Zhang, Eugene V. Koonin, Kira S. Makarova, Jonathan L. Schmid‐Burgk, Zachary Gardner, Alim Ladha, Linyi Gao, Rhiannon K. Macrae, Balwina Koopal and Sara R. Jones and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Jonathan Strecker

17 papers receiving 1.5k citations

Hit Papers

RNA-guided DNA insertion ... 2019 2026 2021 2023 2019 2022 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. RNA-guided DNA insertion with CRISPR-associated transposases
    2019 455 citations Jonathan Strecker, Alim Ladha et al. Science profile →
  2. Prokaryotic innate immunity through pattern recognition of conserved viral proteins
    2022 138 citations Linyi Gao, Max E. Wilkinson et al. Science profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jonathan Strecker 1.4k 292 211 119 105 18 1.6k
Patrick Pausch 1.3k 0.9× 256 0.9× 206 1.0× 127 1.1× 166 1.6× 21 1.4k
Iana Fedorova 1.4k 0.9× 206 0.7× 194 0.9× 170 1.4× 72 0.7× 11 1.4k
Russell T. Walton 1.5k 1.0× 298 1.0× 218 1.0× 161 1.4× 74 0.7× 8 1.5k
Aaron A. Smargon 1.2k 0.9× 182 0.6× 151 0.7× 176 1.5× 86 0.8× 8 1.3k
David R. Cheng 882 0.6× 177 0.6× 104 0.5× 118 1.0× 99 0.9× 6 1.0k
Matias Kaplan 1.9k 1.3× 298 1.0× 186 0.9× 214 1.8× 42 0.4× 7 2.0k
Satomi Banno 1.1k 0.8× 331 1.1× 188 0.9× 92 0.8× 47 0.4× 8 1.2k
Ole Niewoehner 1.5k 1.1× 305 1.0× 125 0.6× 179 1.5× 115 1.1× 7 1.6k
Hisato Hirano 1.2k 0.9× 179 0.6× 136 0.6× 183 1.5× 34 0.3× 14 1.3k
Kathleen A. Christie 1.1k 0.7× 276 0.9× 142 0.7× 99 0.8× 46 0.4× 15 1.2k

Countries citing papers authored by Jonathan Strecker

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Strecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Strecker

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

All Works

18 of 18 papers shown
1.
Frangieh, Chris J., Max E. Wilkinson, Daniel Strebinger, et al.. (2024). Internal initiation of reverse transcription in a Penelope-like retrotransposon. Mobile DNA. 15(1). 12–12.
2.
Faure, Guilhem, Makoto Saito, Sean Benler, et al.. (2023). Modularity and diversity of target selectors in Tn7 transposons. Molecular Cell. 83(12). 2122–2136.e10. 21 indexed citations
3.
Strecker, Jonathan, F. Esra Demircioglu, David Li, et al.. (2022). RNA-activated protein cleavage with a CRISPR-associated endopeptidase. Science. 378(6622). 874–881. 48 indexed citations
4.
Tkach, Johnny M., et al.. (2022). Global cellular response to chemical perturbation of PLK4 activity and abnormal centrosome number. eLife. 11. 5 indexed citations
5.
Gao, Linyi, Max E. Wilkinson, Jonathan Strecker, et al.. (2022). Prokaryotic innate immunity through pattern recognition of conserved viral proteins. Science. 377(6607). eabm4096–eabm4096. 138 indexed citations breakdown →
6.
Saito, Makoto, Alim Ladha, Jonathan Strecker, et al.. (2021). Dual modes of CRISPR-associated transposon homing. Cell. 184(9). 2441–2453.e18. 91 indexed citations
7.
Priore, Isabella Del, Sai Ma, Jonathan Strecker, et al.. (2021). Protocol for single-cell ATAC sequencing using combinatorial indexing in mouse lung adenocarcinoma. STAR Protocols. 2(2). 100583–100583. 9 indexed citations
8.
Slaymaker, Ian M., Pablo Mesa, Max J. Kellner, et al.. (2021). High-resolution structure of cas13b and biochemical characterization of RNA targeting and cleavage. Cell Reports. 34(10). 108865–108865. 13 indexed citations
9.
Schmid‐Burgk, Jonathan L., Linyi Gao, David Li, et al.. (2020). Highly Parallel Profiling of Cas9 Variant Specificity. Molecular Cell. 78(4). 794–800.e8. 145 indexed citations
10.
Strecker, Jonathan, Alim Ladha, Zachary Gardner, et al.. (2019). RNA-guided DNA insertion with CRISPR-associated transposases. Science. 365(6448). 48–53. 455 indexed citations breakdown →
11.
Strecker, Jonathan, Sara R. Jones, Balwina Koopal, et al.. (2019). Engineering of CRISPR-Cas12b for human genome editing. Nature Communications. 10(1). 212–212. 266 indexed citations
12.
Slaymaker, Ian M., Pablo Mesa, Max J. Kellner, et al.. (2019). High-Resolution Structure of Cas13b and Biochemical Characterization of RNA Targeting and Cleavage. Cell Reports. 26(13). 3741–3751.e5. 89 indexed citations
13.
Oshidari, Roxanne, Jonathan Strecker, Karan Joshua Abraham, et al.. (2018). Nuclear microtubule filaments mediate non-linear directional motion of chromatin and promote DNA repair. Nature Communications. 9(1). 2567–2567. 69 indexed citations
14.
Strecker, Jonathan, et al.. (2017). A sharp Pif1-dependent threshold separates DNA double-strand breaks from critically short telomeres. eLife. 6. 18 indexed citations
15.
Strecker, Jonathan, Gagan D. Gupta, Wei Zhang, et al.. (2016). DNA damage signalling targets the kinetochore to promote chromatin mobility. Nature Cell Biology. 18(3). 281–290. 63 indexed citations
16.
Chan, Janet N.Y., Jonathan Strecker, Wei Zhang, et al.. (2015). Perinuclear tethers license telomeric DSBs for a broad kinesin- and NPC-dependent DNA repair process. Nature Communications. 6(1). 7742–7742. 74 indexed citations
17.
Wan, Leo C. K., Daniel Y.L. Mao, Dante Neculai, et al.. (2013). Reconstitution and characterization of eukaryotic N6-threonylcarbamoylation of tRNA using a minimal enzyme system. Nucleic Acids Research. 41(12). 6332–6346. 61 indexed citations
18.
Humphries, Romney M., Michael S. Donnenberg, Jonathan Strecker, et al.. (2009). From alpha to beta: identification of amino acids required for the N‐acetyllactosamine‐specific lectin‐like activity of bundlin. Molecular Microbiology. 72(4). 859–868. 9 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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