Tim Künne
Impact in
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- Innovation and Socioeconomic Development
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
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- CRISPR and Genetic Engineering 8
- RNA and protein synthesis mechanisms 2
- Advanced biosensing and bioanalysis techniques 1
- RNA modifications and cancer 1
- Genetics 4
- Evolution and Genetic Dynamics 4
- Co-authors
- Stan J. J. Brouns (8 shared papers)Raymond H.J. Staals (2 shared papers)Edze R. Westra (3 shared papers)María Suárez‐Diez (2 shared papers)John van der Oost (2 shared papers)Renko de Vries (1 shared paper)Sander Bollen (1 shared paper)Willem M. de Vos (1 shared paper)
- Journals
- Molecular Cell (3 papers)Nucleic Acids Research (2 papers)Proceedings of the National Academy of Sciences (1 paper)Trends in Microbiology (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Tim Künne
8 papers receiving 933 citations
Tim Künne's Hit Papers
Peers
Comparison fields: 5 of 37
- Business and International Management 99
- Endocrinology 118
- Aging 37
- Insect Science 207
- Molecular Biology 901
Countries citing papers authored by Tim Künne
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
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-authors
The 25 scholars most cited alongside Tim Künne, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | CRISPR Immunity Relies on the Consecutive Binding and Degradation of Negatively Supercoiled Invader DNA by Cascade and Cas3 Hit paper breakdown → | 2012 | 429 |
| 2 | 2014 | 204 | |
| 3 | 2016 | 94 | |
| 4 | 2015 | 79 | |
| 5 | 2014 | 62 | |
| 6 | 2017 | 56 | |
| 7 | 2018 | 11 | |
| 8 | 2015 | 5 |
About Tim Künne
Tim Künne is a scholar working on Molecular Biology, Genetics, Insect Science, Ecology and Epidemiology, having authored 8 papers that have together received 940 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Evolution and Genetic Dynamics (4 papers), Insect symbiosis and bacterial influences (4 papers), RNA and protein synthesis mechanisms (2 papers), Mosquito-borne diseases and control (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Bacteriophages and microbial interactions (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Business and International Management (99 citations), Endocrinology (118 citations), Aging (37 citations), Insect Science (207 citations) and Molecular Biology (901 citations). Tim Künne has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Stan J. J. Brouns, Raymond H.J. Staals, Edze R. Westra, María Suárez‐Diez, John van der Oost, Renko de Vries, Sander Bollen, Willem M. de Vos, Matthijs M. Jore and Ekaterina Semenova. Their work appears in journals such as Molecular Cell, Nucleic Acids Research, Proceedings of the National Academy of Sciences, Trends in Microbiology and Methods in molecular biology.
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.