Tim Künne
Impact in
-
- Innovation and Socioeconomic Development
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
-
- CRISPR and Genetic Engineering 8
- RNA and protein synthesis mechanisms 2
- Advanced biosensing and bioanalysis techniques 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)Sander Bollen (1 shared paper)Ekaterina Semenova (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 KingdomUnited States
In The Last Decade
Tim Künne
8 papers receiving 893 citations
Tim Künne's Hit Papers
Peers
Comparison fields: 5 of 37
- Business and International Management 92
- Endocrinology 116
- Aging 35
- Insect Science 206
- Molecular Biology 867
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 | 410 |
| 2 | 2014 | 191 | |
| 3 | 2016 | 88 | |
| 4 | 2015 | 76 | |
| 5 | 2014 | 62 | |
| 6 | 2017 | 55 | |
| 7 | 2018 | 10 | |
| 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 897 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Insect symbiosis and bacterial influences (4 papers), Evolution and Genetic Dynamics (4 papers), RNA and protein synthesis mechanisms (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Bacteriophages and microbial interactions (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Business and International Management (92 citations), Endocrinology (116 citations), Aging (35 citations), Insect Science (206 citations) and Molecular Biology (867 citations). Tim Künne has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Stan J. J. Brouns, Raymond H.J. Staals, Edze R. Westra, María Suárez‐Diez, John van der Oost, Sander Bollen, Ekaterina Semenova, Willem M. de Vos, Renko de Vries and Remus T. Dame. 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.