Christina Kuttler
- Molecular Biology top 10%
- Genetics top 5%
- Immunology top 10%
- Biomedical Engineering top 10%
- Ecology top 10%
- Co-authors
- Burkhard A. HenseJohannes MüllerAnton HartmannMichael RothballerAlexander K. NussbaumJan‐Ulrich KreftKarl-Peter HadelerHermann J. Eberl
- Topics
- Bacterial biofilms and quorum sensing (30 papers)Bacterial Genetics and Biotechnology (13 papers)Gene Regulatory Network Analysis (9 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaBlood
- Partner nations
- GermanyUnited StatesRussia
In The Last Decade
Christina Kuttler
64 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 1.2k
- Genetics 375
- Immunology 307
- Biomedical Engineering 301
- Ecology 226
Countries citing papers authored by Christina Kuttler
This map shows the geographic impact of Christina Kuttler'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 Christina Kuttler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Kuttler more than expected).
Fields of papers citing papers by Christina Kuttler
This network shows the impact of papers produced by Christina Kuttler. 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 Christina Kuttler. The network helps show where Christina Kuttler may publish in the future.
Co-authorship network of co-authors of Christina Kuttler
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Kuttler. A scholar is included among the top collaborators of Christina Kuttler 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 Christina Kuttler. Christina Kuttler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 56 | |
| 8 | 61 | |
| 9 | 6 | |
| 10 | 35 | |
| 11 | 7 | |
| 12 | A mathematical model of quorum sensing in patchy biofilm communities with slow background flow | 26 |
| 13 | 13 | |
| 14 | 65 | |
| 15 | 33 | |
| 16 | 33 | |
| 17 | 88 | |
| 18 | 1 | |
| 19 | 154 | |
| 20 | 128 |
About Christina Kuttler
Christina Kuttler is a scholar working on Modeling and Simulation, Genetics and Molecular Biology, having authored 71 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (30 papers), Bacterial Genetics and Biotechnology (13 papers) and Gene Regulatory Network Analysis (9 papers). The work is most often cited by research in Modeling and Simulation (93 citations), Molecular Biology (1.2k citations) and Endocrinology (87 citations). Christina Kuttler has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Burkhard A. Hense, Johannes Müller, Anton Hartmann, Michael Rothballer, Alexander K. Nussbaum, Jan‐Ulrich Kreft, Karl-Peter Hadeler, Hermann J. Eberl, K. P. Hadeler and Hansjörg Schild. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.
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.