Christoph Zechner

2.4k total citations · 2 hit papers
41 papers, 1.4k citations indexed

About

Christoph Zechner is a scholar working on Molecular Biology, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Christoph Zechner has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 5 papers in Biomedical Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Christoph Zechner's work include Gene Regulatory Network Analysis (28 papers), Single-cell and spatial transcriptomics (16 papers) and Bioinformatics and Genomic Networks (6 papers). Christoph Zechner is often cited by papers focused on Gene Regulatory Network Analysis (28 papers), Single-cell and spatial transcriptomics (16 papers) and Bioinformatics and Genomic Networks (6 papers). Christoph Zechner collaborates with scholars based in Germany, Switzerland and United States. Christoph Zechner's co-authors include Heinz Koeppl, Mustafa Khammash, Matthias Peter, Serge Pelet, Anders S. Hansen, Frank Jülicher, Tyler S. Harmon, Adam Kłosin, Alf Honigmann and Anthony A. Hyman and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Chemical Physics.

In The Last Decade

Christoph Zechner

40 papers receiving 1.4k citations

Hit Papers

Dynamics of CTCF- and coh... 2020 2026 2022 2024 2022 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christoph Zechner Germany 15 1.2k 141 136 126 103 41 1.4k
Derek N. Macklin United States 7 1.1k 0.9× 188 1.3× 173 1.3× 322 2.6× 51 0.5× 8 1.5k
Jian Shu United States 9 1.5k 1.2× 101 0.7× 269 2.0× 101 0.8× 63 0.6× 9 1.8k
Jonathan R. Karr United States 14 1.4k 1.1× 207 1.5× 228 1.7× 111 0.9× 51 0.5× 33 1.6k
Lucia Marucci United Kingdom 19 805 0.7× 203 1.4× 138 1.0× 85 0.7× 40 0.4× 51 1.0k
Florian Heigwer Germany 13 629 0.5× 86 0.6× 81 0.6× 230 1.8× 65 0.6× 21 894
Jayodita C. Sanghvi United States 5 905 0.7× 123 0.9× 188 1.4× 80 0.6× 42 0.4× 8 1.1k
Benjamin Bolival United States 8 1.1k 0.9× 112 0.8× 292 2.1× 64 0.5× 99 1.0× 8 1.3k
Juntao Gao China 19 764 0.6× 136 1.0× 80 0.6× 176 1.4× 172 1.7× 44 1.1k
Thomas Stoeger United States 16 1.0k 0.9× 50 0.4× 133 1.0× 136 1.1× 66 0.6× 27 1.4k
Lacramioara Bintu United States 15 2.1k 1.7× 74 0.5× 487 3.6× 118 0.9× 153 1.5× 29 2.3k

Countries citing papers authored by Christoph Zechner

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Zechner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Zechner

This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Zechner. A scholar is included among the top collaborators of Christoph Zechner 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 Christoph Zechner. Christoph Zechner 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.
Zechner, Christoph & Frank Jülicher. (2025). Concentration buffering and noise reduction in non-equilibrium phase-separating systems. Cell Systems. 16(2). 101168–101168. 2 indexed citations
2.
Bailles, Anaïs, et al.. (2025). Anisotropic stretch biases the self-organization of actin fibers in multicellular Hydra aggregates. Proceedings of the National Academy of Sciences. 122(32). e2423437122–e2423437122. 2 indexed citations
3.
Rocha-Martins, Maurício, et al.. (2023). Deterministic and probabilistic fate decisions co‐exist in a single retinal lineage. The EMBO Journal. 42(14). e112657–e112657. 7 indexed citations
4.
Gonzales, David T., Surased Suraritdechachai, Christoph Zechner, & T.‐Y. Dora Tang. (2023). Bidirectional Communication between Droplet Interface Bilayers Driven by Cell‐Free Quorum Sensing Gene Circuits**. ChemSystemsChem. 5(6). 5 indexed citations
5.
Zechner, Christoph, et al.. (2023). Dynamic information transfer in stochastic biochemical networks. Physical Review Research. 5(1). 11 indexed citations
6.
Gabriele, Michele, Hugo B. Brandão, Simon Grosse‐Holz, et al.. (2022). Dynamics of CTCF- and cohesin-mediated chromatin looping revealed by live-cell imaging. Science. 376(6592). 496–501. 287 indexed citations breakdown →
7.
Hansen, Anders S. & Christoph Zechner. (2021). Promoters adopt distinct dynamic manifestations depending on transcription factor context. Molecular Systems Biology. 17(2). e9821–e9821. 6 indexed citations
8.
Pietzsch, Tobias, et al.. (2021). Compartor: a toolbox for the automatic generation of moment equations for dynamic compartment populations. Bioinformatics. 37(17). 2782–2784. 1 indexed citations
9.
Kłosin, Adam, Tyler S. Harmon, Alf Honigmann, et al.. (2020). Phase separation provides a mechanism to reduce noise in cells. Science. 367(6476). 464–468. 216 indexed citations breakdown →
10.
Gonzales, David T., Christoph Zechner, & T.‐Y. Dora Tang. (2020). Building synthetic multicellular systems using bottom–up approaches. Current Opinion in Systems Biology. 24. 56–63. 14 indexed citations
11.
Zechner, Christoph, et al.. (2020). Stochasticity and determinism in cell fate decisions. Development. 147(14). 33 indexed citations
12.
Papadopoulos, Dimitrios K., Kassiani Skouloudaki, Ylva Engström, et al.. (2019). Control of Hox transcription factor concentration and cell-to-cell variability by an auto-regulatory switch. Development. 146(12). 18 indexed citations
13.
Milias‐Argeitis, Andreas, et al.. (2017). Parameter inference for stochastic single-cell dynamics from lineage tree data. BMC Systems Biology. 11(1). 52–52. 9 indexed citations
14.
Ruess, Jakob, Heinz Koeppl, & Christoph Zechner. (2017). Sensitivity estimation for stochastic models of biochemical reaction networks in the presence of extrinsic variability. The Journal of Chemical Physics. 146(12). 124122–124122. 2 indexed citations
15.
Stapel, L. Carine, Christoph Zechner, & Nadine L. Vastenhouw. (2017). Uniform gene expression in embryos is achieved by temporal averaging of transcription noise. Genes & Development. 31(16). 1635–1640. 19 indexed citations
16.
Albayrak, Cem, Christian Jordi, Christoph Zechner, et al.. (2016). Digital Quantification of Proteins and mRNA in Single Mammalian Cells. Molecular Cell. 61(6). 914–924. 138 indexed citations
17.
Zechner, Christoph, et al.. (2015). Bayesian inference of reaction kinetics from single-cell recordings across a heterogeneous cell population. Methods. 85. 22–35. 9 indexed citations
18.
Zechner, Christoph & Heinz Koeppl. (2014). Uncoupled Analysis of Stochastic Reaction Networks in Fluctuating Environments. PLoS Computational Biology. 10(12). e1003942–e1003942. 30 indexed citations
19.
Zechner, Christoph, et al.. (2012). Optimal variational perturbations for the inference of stochastic reaction dynamics. 5336–5341. 5 indexed citations
20.
Shutin, Dmitriy, Christoph Zechner, Sanjeev R. Kulkarni, & H. Vincent Poor. (2011). Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout. Neural Computation. 24(4). 967–995. 12 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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