Katrin E. Wiese

2.5k total citations · 1 hit paper
11 papers, 1.5k citations indexed

About

Katrin E. Wiese is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Katrin E. Wiese has authored 11 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Katrin E. Wiese's work include Hippo pathway signaling and YAP/TAZ (3 papers), Cancer-related gene regulation (3 papers) and RNA Research and Splicing (3 papers). Katrin E. Wiese is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (3 papers), Cancer-related gene regulation (3 papers) and RNA Research and Splicing (3 papers). Katrin E. Wiese collaborates with scholars based in Germany, Netherlands and United Kingdom. Katrin E. Wiese's co-authors include Marten Postma, Laura van Weeren, Antoine Royant, Sylvain Aumonier, Guillaume Gotthard, Daphne S. Bindels, Mark A. Hink, Marieke Mastop, Theodorus W. J. Gadella and Lindsay Haarbosch and has published in prestigious journals such as Nature, The EMBO Journal and Development.

In The Last Decade

Katrin E. Wiese

10 papers receiving 1.5k citations

Hit Papers

mScarlet: a bright monomeric red fluorescent protein for ... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katrin E. Wiese Germany 7 1.2k 232 205 174 158 11 1.5k
Penelope Hayward United Kingdom 17 1.6k 1.4× 186 0.8× 113 0.6× 67 0.4× 110 0.7× 20 1.8k
Martin Stöter Germany 15 2.2k 1.9× 482 2.1× 253 1.2× 125 0.7× 196 1.2× 20 2.8k
Marion Peter France 23 1.7k 1.5× 740 3.2× 249 1.2× 257 1.5× 113 0.7× 38 2.2k
Mike Lorenz Germany 18 1.5k 1.3× 726 3.1× 170 0.8× 137 0.8× 223 1.4× 23 2.2k
Susan M. Janicki United States 21 2.6k 2.3× 244 1.1× 346 1.7× 180 1.0× 152 1.0× 29 3.0k
Chiao-Chain Huang United States 10 1.3k 1.1× 198 0.9× 141 0.7× 110 0.6× 76 0.5× 15 1.7k
Yoosik Kim South Korea 23 1.5k 1.2× 245 1.1× 84 0.4× 67 0.4× 300 1.9× 61 1.9k
Andrea M. Femino United States 9 1.5k 1.3× 157 0.7× 117 0.6× 195 1.1× 148 0.9× 12 2.0k
Patrick Steigemann Germany 14 947 0.8× 724 3.1× 224 1.1× 74 0.4× 97 0.6× 18 1.4k
Dara J. Dunican United Kingdom 11 731 0.6× 191 0.8× 99 0.5× 72 0.4× 65 0.4× 13 1.0k

Countries citing papers authored by Katrin E. Wiese

Since Specialization
Citations

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

Fields of papers citing papers by Katrin E. Wiese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katrin E. Wiese. 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 Katrin E. Wiese. The network helps show where Katrin E. Wiese may publish in the future.

Co-authorship network of co-authors of Katrin E. Wiese

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

All Works

11 of 11 papers shown
1.
Wiese, Katrin E., et al.. (2024). Transcriptomic Analysis of Pubertal and Adult Virgin Mouse Mammary Epithelial and Stromal Cell Populations. Journal of Mammary Gland Biology and Neoplasia. 29(1). 13–13. 2 indexed citations
2.
3.
Wiese, Katrin E., Roel Nusse, & Renée van Amerongen. (2018). Wnt signalling: conquering complexity. Development. 145(12). 167 indexed citations
4.
Bindels, Daphne S., Lindsay Haarbosch, Laura van Weeren, et al.. (2016). mScarlet: a bright monomeric red fluorescent protein for cellular imaging. Nature Methods. 14(1). 53–56. 739 indexed citations breakdown →
5.
Haikala, Heidi M., Juha Klefström, Martin Eilers, & Katrin E. Wiese. (2016). MYC-induced apoptosis in mammary epithelial cells is associated with repression of lineage-specific gene signatures. Cell Cycle. 15(3). 316–323. 3 indexed citations
6.
Eyß, Björn von, Laura A. Jaenicke, Roderik M. Kortlever, et al.. (2015). A MYC-Driven Change in Mitochondrial Dynamics Limits YAP/TAZ Function in Mammary Epithelial Cells and Breast Cancer. Cancer Cell. 28(6). 743–757. 107 indexed citations
7.
Wiese, Katrin E., Heidi M. Haikala, Björn von Eyß, et al.. (2015). Repression of SRF target genes is critical for M yc‐dependent apoptosis of epithelial cells. The EMBO Journal. 34(11). 1554–1571. 28 indexed citations
8.
Muthalagu, Nathiya, Melissa R. Junttila, Katrin E. Wiese, et al.. (2014). BIM Is the Primary Mediator of MYC-Induced Apoptosis in Multiple Solid Tissues. Cell Reports. 8(5). 1347–1353. 57 indexed citations
9.
Walz, Susanne, Francesca Lorenzin, Jennifer P. Morton, et al.. (2014). Activation and repression by oncogenic MYC shape tumour-specific gene expression profiles. Nature. 511(7510). 483–487. 348 indexed citations
10.
Wiese, Katrin E., Susanne Walz, Björn von Eyß, et al.. (2013). The Role of MIZ-1 in MYC-Dependent Tumorigenesis. Cold Spring Harbor Perspectives in Medicine. 3(12). a014290–a014290. 77 indexed citations
11.
Wiese, Katrin E. & Martin Eilers. (2011). Pluripotency without Max. Cell stem cell. 9(1). 4–6. 1 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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