Dagmar Iber

3.4k total citations
79 papers, 2.1k citations indexed

About

Dagmar Iber is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Dagmar Iber has authored 79 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 24 papers in Cell Biology and 14 papers in Genetics. Recurrent topics in Dagmar Iber's work include Developmental Biology and Gene Regulation (25 papers), Cellular Mechanics and Interactions (16 papers) and Cancer Cells and Metastasis (11 papers). Dagmar Iber is often cited by papers focused on Developmental Biology and Gene Regulation (25 papers), Cellular Mechanics and Interactions (16 papers) and Cancer Cells and Metastasis (11 papers). Dagmar Iber collaborates with scholars based in Switzerland, United Kingdom and United States. Dagmar Iber's co-authors include Facundo D. Batista, Michael S. Neuberger, Denis Menshykau, Philip K. Maini, Conradin Kraemer, Roman Vetter, Michael Meyer‐Hermann, Marcelo Boareto, Verdon Taylor and Fernando Casares and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Dagmar Iber

77 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dagmar Iber Switzerland 24 1.1k 541 411 227 181 79 2.1k
Timo Zimmermann Germany 19 1.7k 1.6× 315 0.6× 571 1.4× 265 1.2× 304 1.7× 45 3.0k
Toshifumi Morimura Japan 20 1.6k 1.4× 443 0.8× 456 1.1× 210 0.9× 158 0.9× 32 2.6k
Le A. Trinh United States 22 1.7k 1.5× 220 0.4× 539 1.3× 168 0.7× 298 1.6× 42 2.3k
Bing‐Hao Luo United States 18 1.4k 1.3× 817 1.5× 872 2.1× 145 0.6× 102 0.6× 38 3.3k
Winfried Wiegraebe United States 9 1.1k 1.0× 236 0.4× 269 0.7× 174 0.8× 187 1.0× 11 2.1k
Nadine Peyriéras France 26 1.3k 1.2× 314 0.6× 573 1.4× 185 0.8× 242 1.3× 71 2.3k
Wiggert A. van Cappellen Netherlands 30 2.5k 2.3× 534 1.0× 911 2.2× 410 1.8× 227 1.3× 86 4.1k
Alexandre R. Gingras United Kingdom 33 1.1k 1.0× 905 1.7× 1.5k 3.6× 98 0.4× 152 0.8× 51 3.3k
Teng‐Leong Chew United States 26 884 0.8× 238 0.4× 551 1.3× 72 0.3× 268 1.5× 57 2.0k
Jun Allard United States 18 1.2k 1.1× 215 0.4× 1.1k 2.7× 113 0.5× 253 1.4× 53 2.2k

Countries citing papers authored by Dagmar Iber

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Iber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Iber

This figure shows the co-authorship network connecting the top 25 collaborators of Dagmar Iber. A scholar is included among the top collaborators of Dagmar Iber 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 Dagmar Iber. Dagmar Iber 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.
Vetter, Roman, Kevin A. Yamauchi, Yifan Wang, et al.. (2025). Morphometry and mechanical instability at the onset of epithelial bladder cancer. Nature Physics. 21(2). 279–288. 3 indexed citations
2.
Iber, Dagmar, et al.. (2025). Coordination of nephrogenesis with branching of the urinary collecting system, the vasculature and the nervous system. Current topics in developmental biology. 163. 45–82.
3.
Vetter, Roman, et al.. (2023). The impact of cell size on morphogen gradient precision. Development. 150(10). 6 indexed citations
4.
Iber, Dagmar, et al.. (2023). Organoids in high-throughput and high-content screenings. SHILAP Revista de lepidopterología. 5. 25 indexed citations
5.
Sapala, Aleksandra, Manon Moulis, Christine Lang, et al.. (2022). Development of a 3D atlas of the embryonic pancreas for topological and quantitative analysis of heterologous cell interactions. Development. 149(3). 14 indexed citations
6.
Mukhtar, Tanzila, Marcelo Boareto, Alice Grison, et al.. (2022). Temporal and sequential transcriptional dynamics define lineage shifts in corticogenesis. The EMBO Journal. 41(24). e111132–e111132. 8 indexed citations
7.
Kuure, Satu, et al.. (2022). FGF8 induces chemokinesis and regulates condensation of mouse nephron progenitor cells. Development. 149(21). 5 indexed citations
8.
Moulis, Manon, Nicolas Dauguet, Christophe Vanderaa, et al.. (2022). Identification and implication of tissue-enriched ligands in epithelial–endothelial crosstalk during pancreas development. Scientific Reports. 12(1). 12498–12498. 3 indexed citations
9.
Iber, Dagmar, et al.. (2022). Tracheal Ring Formation. Frontiers in Cell and Developmental Biology. 10. 900447–900447. 4 indexed citations
10.
Conrad, Lisa, Christine Lang, Mathilde Dumond, et al.. (2021). The biomechanical basis of biased epithelial tube elongation in lung and kidney development. Development. 148(9). 22 indexed citations
11.
Boareto, Marcelo, et al.. (2021). Positional information encoded in the dynamic differences between neighboring oscillators during vertebrate segmentation. PubMed. 168. 203737–203737. 6 indexed citations
12.
Menshykau, Denis, Odyssé Michos, Christine Lang, et al.. (2019). Image-based modeling of kidney branching morphogenesis reveals GDNF-RET based Turing-type mechanism and pattern-modulating WNT11 feedback. Nature Communications. 10(1). 53 indexed citations
13.
Iber, Dagmar, et al.. (2018). Global optimization using Gaussian processes to estimate biological parameters from image data. Journal of Theoretical Biology. 481. 233–248. 2 indexed citations
14.
Casares, Fernando, et al.. (2016). A Model of the Spatio-temporal Dynamics of Drosophila Eye Disc Development. PLoS Computational Biology. 12(9). e1005052–e1005052. 25 indexed citations
15.
Iber, Dagmar & Christian De Geyter. (2013). Computational modelling of bovine ovarian follicle development. BMC Systems Biology. 7(1). 60–60. 12 indexed citations
16.
Fengos, Georgios & Dagmar Iber. (2013). Prediction stability in a data-based, mechanistic model of σF regulation during sporulation in Bacillus subtilis. Scientific Reports. 3(1). 2755–2755. 3 indexed citations
17.
Kraemer, Conradin, et al.. (2012). Digit patterning during limb development as a result of the BMP-receptor interaction. Scientific Reports. 2(1). 991–991. 57 indexed citations
18.
Menshykau, Denis, Conradin Kraemer, & Dagmar Iber. (2012). Branch Mode Selection during Early Lung Development. PLoS Computational Biology. 8(2). e1002377–e1002377. 80 indexed citations
19.
Fengos, Georgios, et al.. (2011). A Computational Analysis of the Dynamic Roles of Talin, Dok1, and PIPKI for Integrin Activation. PLoS ONE. 6(11). e24808–e24808. 13 indexed citations
20.
Iber, Dagmar, Joanna Clarkson, Michael D. Yudkin, & Iain D. Campbell. (2006). The mechanism of cell differentiation in Bacillus subtilis. Nature. 441(7091). 371–374. 43 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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