Anne-Kathrin Classen

1.7k total citations
27 papers, 1.2k citations indexed

About

Anne-Kathrin Classen is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Anne-Kathrin Classen has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Cell Biology and 8 papers in Immunology. Recurrent topics in Anne-Kathrin Classen's work include Hippo pathway signaling and YAP/TAZ (10 papers), Invertebrate Immune Response Mechanisms (8 papers) and Developmental Biology and Gene Regulation (8 papers). Anne-Kathrin Classen is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (10 papers), Invertebrate Immune Response Mechanisms (8 papers) and Developmental Biology and Gene Regulation (8 papers). Anne-Kathrin Classen collaborates with scholars based in Germany, United States and United Kingdom. Anne-Kathrin Classen's co-authors include Suzanne Eaton, Éric Marois, Kurt I. Anderson, David Bilder, Marco La Fortezza, Isabelle Grass, Kieran F. Harvey, Thomas Vaccari, Andrea Cosolo and Hartmann Harz and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Anne-Kathrin Classen

26 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne-Kathrin Classen Germany 13 758 624 139 139 80 27 1.2k
Juliette Mathieu France 15 788 1.0× 611 1.0× 140 1.0× 120 0.9× 99 1.2× 24 1.2k
Luis Alberto Baena-López United Kingdom 17 861 1.1× 617 1.0× 179 1.3× 149 1.1× 88 1.1× 30 1.2k
Christian Bökel Germany 17 883 1.2× 479 0.8× 238 1.7× 216 1.6× 129 1.6× 23 1.3k
Sol Sotillos Spain 16 640 0.8× 417 0.7× 201 1.4× 155 1.1× 99 1.2× 26 961
Irinka Castanon Switzerland 13 870 1.1× 573 0.9× 127 0.9× 109 0.8× 151 1.9× 18 1.3k
Erika R. Geisbrecht United States 17 803 1.1× 478 0.8× 208 1.5× 167 1.2× 72 0.9× 38 1.2k
Jessica K. Sawyer United States 10 500 0.7× 703 1.1× 131 0.9× 70 0.5× 44 0.6× 16 965
Frieder Schöck Canada 23 987 1.3× 555 0.9× 283 2.0× 180 1.3× 171 2.1× 40 1.5k
Romain Levayer France 16 646 0.9× 1.0k 1.7× 134 1.0× 119 0.9× 42 0.5× 27 1.4k
Michelle Starz‐Gaiano United States 17 713 0.9× 466 0.7× 285 2.1× 274 2.0× 164 2.0× 36 1.2k

Countries citing papers authored by Anne-Kathrin Classen

Since Specialization
Citations

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

Fields of papers citing papers by Anne-Kathrin Classen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne-Kathrin Classen. 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 Anne-Kathrin Classen. The network helps show where Anne-Kathrin Classen may publish in the future.

Co-authorship network of co-authors of Anne-Kathrin Classen

This figure shows the co-authorship network connecting the top 25 collaborators of Anne-Kathrin Classen. A scholar is included among the top collaborators of Anne-Kathrin Classen 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 Anne-Kathrin Classen. Anne-Kathrin Classen 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.
Grass, Isabelle, et al.. (2025). A JAK/STAT-Pdk1-S6K axis bypasses systemic growth restrictions to promote regeneration. Nature Communications. 16(1). 10944–10944.
2.
Classen, Anne-Kathrin. (2024). Tumours form without genetic mutations. Nature. 629(8012). 534–535. 2 indexed citations
3.
Chhatbar, Chintan, Gianni Monaco, Marc Dionne, et al.. (2024). DNA damage signaling in Drosophila macrophages modulates systemic cytokine levels in response to oxidative stress. eLife. 12. 2 indexed citations
4.
Classen, Anne-Kathrin, et al.. (2024). A mismatch in the expression of cell surface molecules induces tissue-intrinsic defense against aberrant cells. Current Biology. 34(5). 980–996.e6. 4 indexed citations
5.
Chhatbar, Chintan, Gianni Monaco, Marc Dionne, et al.. (2023). DNA damage signaling in Drosophila macrophages modulates systemic cytokine levels in response to oxidative stress. eLife. 12. 5 indexed citations
6.
Floc’hlay, Swann, Valerie Christiaens, Carmen Bravo González‐Blas, et al.. (2023). Shared enhancer gene regulatory networks between wound and oncogenic programs. eLife. 12. 8 indexed citations
7.
Classen, Anne-Kathrin, et al.. (2023). Bilateral JNK activation is a hallmark of interface surveillance and promotes elimination of aberrant cells. eLife. 12. 6 indexed citations
8.
Engesser, Raphael, et al.. (2023). Mutual repression between JNK/AP-1 and JAK/STAT stratifies senescent and proliferative cell behaviors during tissue regeneration. PLoS Biology. 21(5). e3001665–e3001665. 18 indexed citations
9.
Cosolo, Andrea, et al.. (2022). Distinct signaling signatures drive compensatory proliferation via S-phase acceleration. PLoS Genetics. 18(12). e1010516–e1010516. 5 indexed citations
10.
Dondl, Patrick, et al.. (2022). Eya-controlled affinity between cell lineages drives tissue self-organization during Drosophila oogenesis. Nature Communications. 13(1). 6377–6377. 4 indexed citations
11.
Classen, Anne-Kathrin, et al.. (2019). Response of epithelial cell and tissue shape to external forces in vivo. Development. 146(17). 12 indexed citations
12.
Fortezza, Marco La, Andrea Cosolo, Alexey V. Pindyurin, et al.. (2018). DamID profiling of dynamic Polycomb-binding sites in Drosophila imaginal disc development and tumorigenesis. Epigenetics & Chromatin. 11(1). 27–27. 7 indexed citations
13.
Harz, Hartmann, et al.. (2017). Calcium spikes, waves and oscillations in a large, patterned epithelial tissue. Scientific Reports. 7(1). 42786–42786. 57 indexed citations
14.
Villa, Raffaella, et al.. (2017). Ubiquitylation of the acetyltransferase MOF in Drosophila melanogaster. PLoS ONE. 12(5). e0177408–e0177408. 12 indexed citations
15.
Classen, Anne-Kathrin, et al.. (2014). Sensing cellular states—signaling to chromatin pathways targeting Polycomb and Trithorax group function. Cell and Tissue Research. 356(3). 477–493. 9 indexed citations
16.
Classen, Anne-Kathrin, et al.. (2009). A tumor suppressor activity of Drosophila Polycomb genes mediated by JAK-STAT signaling. Nature Genetics. 41(10). 1150–1155. 109 indexed citations
17.
Kolahi, Kevin S., et al.. (2009). Quantitative analysis of epithelial morphogenesis in Drosophila oogenesis: New insights based on morphometric analysis and mechanical modeling. Developmental Biology. 331(2). 129–139. 54 indexed citations
18.
Classen, Anne-Kathrin, Benoît Aigouy, Angela Giangrande, & Suzanne Eaton. (2008). Imaging Drosophila Pupal Wing Morphogenesis. Methods in molecular biology. 420. 265–275. 38 indexed citations
19.
Vogel, Maartje J., Lars Guelen, Elzo de Wit, et al.. (2006). Human heterochromatin proteins form large domains containing KRAB-ZNF genes. Genome Research. 16(12). 1493–1504. 124 indexed citations
20.
Classen, Anne-Kathrin, Kurt I. Anderson, Éric Marois, & Suzanne Eaton. (2005). Hexagonal Packing of Drosophila Wing Epithelial Cells by the Planar Cell Polarity Pathway. Developmental Cell. 9(6). 805–817. 335 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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2026