Christian Tönsing

681 total citations
8 papers, 394 citations indexed

About

Christian Tönsing is a scholar working on Molecular Biology, Statistics and Probability and Infectious Diseases. According to data from OpenAlex, Christian Tönsing has authored 8 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Statistics and Probability and 1 paper in Infectious Diseases. Recurrent topics in Christian Tönsing's work include Gene Regulatory Network Analysis (4 papers), Protein Structure and Dynamics (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Christian Tönsing is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), Protein Structure and Dynamics (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Christian Tönsing collaborates with scholars based in Germany and United States. Christian Tönsing's co-authors include Jens Timmer, Marcus Rosenblatt, Adrian L. Hauber, Franz-Georg Wieland, Clemens Kreutz, Ursula Klingmüller, Jan Hasenauer, Marcel Schilling, Lorenz Adlung and Joep Vanlier and has published in prestigious journals such as Bioinformatics, Cell Reports and PLoS Computational Biology.

In The Last Decade

Christian Tönsing

8 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Tönsing Germany 6 215 46 36 35 33 8 394
Marcus Rosenblatt Germany 9 160 0.7× 32 0.7× 23 0.6× 21 0.6× 22 0.7× 13 339
Helge Hass Germany 10 269 1.3× 30 0.7× 24 0.7× 36 1.0× 37 1.1× 11 403
Franz-Georg Wieland Germany 6 236 1.1× 31 0.7× 21 0.6× 18 0.5× 12 0.4× 7 425
Oliver J. Maclaren New Zealand 13 192 0.9× 93 2.0× 11 0.3× 68 1.9× 11 0.3× 37 499
Adrian L. Hauber Germany 3 75 0.3× 33 0.7× 22 0.6× 16 0.5× 13 0.4× 5 188
Alexander P. Browning Australia 13 153 0.7× 133 2.9× 13 0.4× 59 1.7× 13 0.4× 29 397
Tom Quaiser Germany 9 128 0.6× 58 1.3× 36 1.0× 10 0.3× 20 0.6× 11 284
Christian Tiemann Netherlands 11 429 2.0× 14 0.3× 32 0.9× 91 2.6× 41 1.2× 14 623
L. D’Angiò Italy 7 146 0.7× 32 0.7× 120 3.3× 32 0.9× 51 1.5× 11 418
Thomas Ligon Germany 7 219 1.0× 12 0.3× 20 0.6× 58 1.7× 15 0.5× 10 314

Countries citing papers authored by Christian Tönsing

Since Specialization
Citations

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

Fields of papers citing papers by Christian Tönsing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Tönsing

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

All Works

8 of 8 papers shown
1.
Tönsing, Christian, Bernhard Steiert, Jens Timmer, & Clemens Kreutz. (2023). Likelihood-ratio test statistic for the finite-sample case in nonlinear ordinary differential equation models. PLoS Computational Biology. 19(9). e1011417–e1011417. 3 indexed citations
2.
Adlung, Lorenz, Paul Stapor, Christian Tönsing, et al.. (2021). Cell-to-cell variability in JAK2/STAT5 pathway components and cytoplasmic volumes defines survival threshold in erythroid progenitor cells. Cell Reports. 36(6). 109507–109507. 11 indexed citations
3.
Wieland, Franz-Georg, Adrian L. Hauber, Marcus Rosenblatt, Christian Tönsing, & Jens Timmer. (2021). On structural and practical identifiability. Current Opinion in Systems Biology. 25. 60–69. 176 indexed citations
4.
Bernhardt, Stephan, Christian Tönsing, Karin Müller‐Decker, et al.. (2019). Functional Proteomics of Breast Cancer Metabolism Identifies GLUL as Responder during Hypoxic Adaptation. Journal of Proteome Research. 18(3). 1352–1362. 7 indexed citations
5.
Tönsing, Christian, Jens Timmer, & Clemens Kreutz. (2019). Optimal Paths Between Parameter Estimates in Non-linear ODE Systems Using the Nudged Elastic Band Method. Frontiers in Physics. 7. 5 indexed citations
6.
Tönsing, Christian, Jens Timmer, & Clemens Kreutz. (2018). Profile likelihood-based analyses of infectious disease models. Statistical Methods in Medical Research. 27(7). 1979–1998. 14 indexed citations
7.
Raue, Andreas, Bernhard Steiert, Max Schelker, et al.. (2015). Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems. Bioinformatics. 31(21). 3558–3560. 153 indexed citations
8.
Tönsing, Christian, Jens Timmer, & Clemens Kreutz. (2014). Cause and cure of sloppiness in ordinary differential equation models. Physical Review E. 90(2). 23303–23303. 25 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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