Christina Kuttler

2.6k total citations
71 papers, 1.9k citations indexed

About

Christina Kuttler is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Christina Kuttler has authored 71 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 19 papers in Genetics and 13 papers in Biomedical Engineering. Recurrent topics in Christina Kuttler's work include Bacterial biofilms and quorum sensing (30 papers), Bacterial Genetics and Biotechnology (13 papers) and Gene Regulatory Network Analysis (9 papers). Christina Kuttler is often cited by papers focused on Bacterial biofilms and quorum sensing (30 papers), Bacterial Genetics and Biotechnology (13 papers) and Gene Regulatory Network Analysis (9 papers). Christina Kuttler collaborates with scholars based in Germany, United States and Russia. Christina Kuttler's 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 and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Christina Kuttler

64 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christina Kuttler Germany 22 1.2k 375 307 301 226 71 1.9k
Hiroshi Fujikawa Japan 26 520 0.4× 234 0.6× 300 1.0× 315 1.0× 128 0.6× 106 2.3k
Jack Merrin Austria 16 1.8k 1.5× 1.1k 2.9× 277 0.9× 502 1.7× 356 1.6× 26 3.4k
R. R. Watson United States 9 1.5k 1.3× 379 1.0× 183 0.6× 346 1.1× 357 1.6× 21 2.8k
Shuai Cheng Li China 26 1.3k 1.1× 169 0.5× 186 0.6× 111 0.4× 165 0.7× 205 2.5k
Francesc Gòdia Spain 28 1.7k 1.4× 491 1.3× 125 0.4× 395 1.3× 208 0.9× 96 2.5k
Timothy D. Minogue United States 21 1.1k 0.9× 438 1.2× 72 0.2× 129 0.4× 229 1.0× 60 2.0k
Matthew Loose United Kingdom 23 1.6k 1.4× 420 1.1× 89 0.3× 140 0.5× 158 0.7× 62 2.2k
Jiang Du China 28 1.3k 1.1× 380 1.0× 223 0.7× 78 0.3× 126 0.6× 130 2.9k
John Yin United States 29 1.1k 0.9× 906 2.4× 247 0.8× 162 0.5× 852 3.8× 97 2.6k
Shuling Yan China 23 381 0.3× 165 0.4× 482 1.6× 72 0.2× 363 1.6× 66 1.6k

Countries citing papers authored by Christina Kuttler

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Kuttler, Christina, et al.. (2025). Modeling bacterial growth and Allee effect via Allen-Cahn theoretical framework. Scientific Reports. 15(1). 30521–30521.
2.
Liao, Jieren, Umar F. Shahul Hameed, Timothy D. Hoffmann, et al.. (2025). β-Carotene alleviates substrate inhibition caused by asymmetric cooperativity. Nature Communications. 16(1). 3065–3065. 2 indexed citations
3.
4.
Kuttler, Christina, et al.. (2024). A general deterministic model of ordinary differential equations for a broad variety of different diseases. Chaos Solitons & Fractals. 188. 115475–115475.
5.
Kuttler, Christina, et al.. (2024). Quorum sensing model for nutrient-dependent evolution of cultured bacteria: theoretical framework and in silico study. Nonlinear Dynamics. 113(7). 7519–7534. 1 indexed citations
6.
Schuster, Martín, Christina Li, Parker Smith, & Christina Kuttler. (2023). Parameters, architecture and emergent properties of the Pseudomonas aeruginosa LasI/LasR quorum-sensing circuit. Journal of The Royal Society Interface. 20(200). 20220825–20220825. 10 indexed citations
7.
Kuttler, Christina, et al.. (2022). Optimal multiplicative control of bacterial quorum sensing under external enzyme impact. Mathematical Modelling of Natural Phenomena. 17. 29–29. 5 indexed citations
8.
Kuttler, Christina, et al.. (2021). How mathematical modeling could contribute to the quantification of metastatic tumor burden under therapy: insights in immunotherapeutic treatment of non-small cell lung cancer. Theoretical Biology and Medical Modelling. 18(1). 11–11. 10 indexed citations
9.
Goñi‐Moreno, Ángel, Melanie Schott, Malvika Sharan, et al.. (2017). Cell differentiation defines acute and chronic infection cell types in Staphylococcus aureus. eLife. 6. 61 indexed citations
10.
Kuttler, Christina, et al.. (2016). An age-dependent model to analyse the evolutionary stability of bacterial quorum sensing. Journal of Theoretical Biology. 405. 104–115. 6 indexed citations
11.
Kuttler, Christina, et al.. (2015). Methods and Models in Mathematical Biology: Deterministic and Stochastic Approaches. CERN Document Server (European Organization for Nuclear Research). 7 indexed citations
12.
Hense, Burkhard A., et al.. (2015). A Mathematical Model of Quorum Sensing Induced Biofilm Detachment. PLoS ONE. 10(7). e0132385–e0132385. 63 indexed citations
13.
Pérez-Velázquez, Judith, Beatriz Quiñones, Burkhard A. Hense, & Christina Kuttler. (2015). A mathematical model to investigate quorum sensing regulation and its heterogeneity in Pseudomonas syringae on leaves. Ecological Complexity. 21. 128–141. 15 indexed citations
14.
Barbarossa, Maria Vittoria, et al.. (2012). Delay equations modeling the effects of phase-specific drugs and immunotherapy on proliferating tumor cells. Mathematical Biosciences & Engineering. 9(2). 241–257. 7 indexed citations
15.
Kuttler, Christina, et al.. (2010). A mathematical model of quorum sensing in patchy biofilm communities with slow background flow. Site cant be reached. 18(3). 267–298. 26 indexed citations
16.
Fekete, Ágnes, Christina Kuttler, Michael Rothballer, et al.. (2009). Dynamic regulation ofN-acyl-homoserine lactone production and degradation inPseudomonas putidaIsoF. FEMS Microbiology Ecology. 72(1). 22–34. 65 indexed citations
17.
Kuttler, Christina. (2009). Mathematical Models in Biology. 3 indexed citations
18.
Müller, Johannes, et al.. (2006). Cell–cell communication by quorum sensing and dimension-reduction. Journal of Mathematical Biology. 53(4). 672–702. 88 indexed citations
19.
Kuttler, Christina, Alexander K. Nussbaum, Tobias P. Dick, et al.. (2000). An algorithm for the prediction of proteasomal cleavages. Journal of Molecular Biology. 301(1). 251–251. 7 indexed citations
20.
Kuttler, Christina, Alexander K. Nussbaum, Tobias P. Dick, et al.. (2000). An algorithm for the prediction of proteasomal cleavages. Journal of Molecular Biology. 298(3). 417–429. 128 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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Rankless by CCL
2026