Tim Künne

1.4k total citations · 1 hit paper
8 papers, 897 citations indexed

About

Tim Künne is a scholar working on Molecular Biology, Genetics and Insect Science. According to data from OpenAlex, Tim Künne has authored 8 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Insect Science. Recurrent topics in Tim Künne's work include CRISPR and Genetic Engineering (8 papers), Insect symbiosis and bacterial influences (4 papers) and Evolution and Genetic Dynamics (4 papers). Tim Künne is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), Insect symbiosis and bacterial influences (4 papers) and Evolution and Genetic Dynamics (4 papers). Tim Künne collaborates with scholars based in Netherlands, United Kingdom and United States. Tim Künne's co-authors include Stan J. J. Brouns, Raymond H.J. Staals, Edze R. Westra, María Suárez‐Diez, John van der Oost, Matthijs M. Jore, Ekaterina Semenova, Remus T. Dame, Renko de Vries and Sander Bollen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Molecular Cell.

In The Last Decade

Tim Künne

8 papers receiving 893 citations

Hit Papers

align trajectories

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.

CRISPR Immunity Relies on the Consecutive Binding and Degradation of Negatively Supercoiled Invader DNA by Cascade and Cas3

2012 410 citations Edze R. Westra, Tim Künne et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Künne Netherlands	7	867	266	216	206	116	8	897
Rebecca E. McKenzie Netherlands	8	572 0.7×	138 0.5×	127 0.6×	161 0.8×	81 0.7×	9	603
Yibei Xiao United States	10	915 1.1×	207 0.8×	66 0.3×	181 0.9×	49 0.4×	12	935
Chantal K. Guegler United States	7	583 0.7×	179 0.7×	151 0.7×	87 0.4×	81 0.7×	8	674
Sebastian N. Kieper Netherlands	8	546 0.6×	128 0.5×	110 0.5×	157 0.8×	64 0.6×	8	590
Nora C. Pyenson United States	6	776 0.9×	174 0.7×	113 0.5×	94 0.5×	42 0.4×	8	806
Lina M León United States	5	469 0.5×	90 0.3×	233 1.1×	85 0.4×	50 0.4×	5	540
Jon McGinn United States	7	502 0.6×	105 0.4×	98 0.5×	83 0.4×	33 0.3×	8	556
Gary E. Heussler United States	7	427 0.5×	144 0.5×	171 0.8×	66 0.3×	106 0.9×	9	513
Cas Mosterd Canada	5	329 0.4×	87 0.3×	97 0.4×	81 0.4×	58 0.5×	7	351
Olga Musharova Russia	12	345 0.4×	125 0.5×	101 0.5×	79 0.4×	57 0.5×	21	396

Countries citing papers authored by Tim Künne

Since Specialization

Citations

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

Fields of papers citing papers by Tim Künne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Künne

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

All Works

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8 of 8 papers shown

1.

Künne, Tim, et al.. (2018). Role of nucleotide identity in effective CRISPR target escape mutations. Nucleic Acids Research. 46(19). 10395–10404. 10 indexed citations

2.

Vlot, Marnix, Daan C. Swarts, Tim Künne, et al.. (2017). Bacteriophage DNA glucosylation impairs target DNA binding by type I and II but not by type V CRISPR–Cas effector complexes. Nucleic Acids Research. 46(2). 873–885. 55 indexed citations

3.

Künne, Tim, Sebastian N. Kieper, Willem R. Miellet, et al.. (2016). Cas3-Derived Target DNA Degradation Fragments Fuel Primed CRISPR Adaptation. Molecular Cell. 63(5). 852–864. 88 indexed citations

4.

Blosser, Timothy R., Luuk Loeff, Edze R. Westra, et al.. (2015). Two Distinct DNA Binding Modes Guide Dual Roles of a CRISPR-Cas Protein Complex. Molecular Cell. 58(1). 60–70. 76 indexed citations

5.

Künne, Tim, Edze R. Westra, & Stan J. J. Brouns. (2015). Electrophoretic Mobility Shift Assay of DNA and CRISPR-Cas Ribonucleoprotein Complexes. Methods in molecular biology. 1311. 171–184. 5 indexed citations

6.

Künne, Tim, Daan C. Swarts, & Stan J. J. Brouns. (2014). Planting the seed: target recognition of short guide RNAs. Trends in Microbiology. 22(2). 74–83. 62 indexed citations

7.

Fineran, Peter C., Matthias J. H. Gerritzen, María Suárez‐Diez, et al.. (2014). Degenerate target sites mediate rapid primed CRISPR adaptation. Proceedings of the National Academy of Sciences. 111(16). E1629–38. 191 indexed citations

8.

Westra, Edze R., Tim Künne, Raymond H.J. Staals, et al.. (2012). CRISPR Immunity Relies on the Consecutive Binding and Degradation of Negatively Supercoiled Invader DNA by Cascade and Cas3. Molecular Cell. 46(5). 595–605. 410 indexed citations breakdown →

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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