Ulrike Burk

4.4k total citations · 2 hit papers
14 papers, 3.6k citations indexed

About

Ulrike Burk is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ulrike Burk has authored 14 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Ulrike Burk's work include MicroRNA in disease regulation (5 papers), Cancer Cells and Metastasis (3 papers) and Cancer-related molecular mechanisms research (2 papers). Ulrike Burk is often cited by papers focused on MicroRNA in disease regulation (5 papers), Cancer Cells and Metastasis (3 papers) and Cancer-related molecular mechanisms research (2 papers). Ulrike Burk collaborates with scholars based in Germany, United Kingdom and United States. Ulrike Burk's co-authors include Thomas Brabletz, Ulrich F. Wellner, Jörg Schubert, Otto Schmalhofer, Simone Spaderna, Elizabeth Vincan, Simone Brabletz, Ulrich T. Hopt, Julia Schüler and Tobias Keck and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Nature Cell Biology.

In The Last Decade

Ulrike Burk

14 papers receiving 3.6k citations

Hit Papers

A reciprocal repression between ZEB1 and members of the m... 2008 2026 2014 2020 2008 2009 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A reciprocal repression between ZEB1 and members of the miR‐200 family promotes EMT and invasion in cancer cells
    2008 1.4k citations Ulrike Burk, Jörg Schubert et al. EMBO Reports profile →
  2. The EMT-activator ZEB1 promotes tumorigenicity by repressing stemness-inhibiting microRNAs
    2009 1.4k citations Ulrich F. Wellner, Jörg Schubert et al. Nature Cell Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrike Burk Germany 11 2.7k 1.9k 1.4k 236 230 14 3.6k
Arti Gaur United States 14 2.8k 1.0× 2.4k 1.3× 717 0.5× 171 0.7× 214 0.9× 28 3.8k
Qiongqing Wang United States 5 2.2k 0.8× 1.7k 0.9× 1.2k 0.8× 106 0.4× 267 1.2× 6 3.2k
Michael E. Mullendore United States 17 2.9k 1.1× 2.0k 1.0× 1.2k 0.8× 239 1.0× 131 0.6× 21 3.7k
Baocun Sun China 38 2.1k 0.8× 1.3k 0.7× 974 0.7× 127 0.5× 294 1.3× 64 2.9k
Pierlorenzo Pallante Italy 34 2.9k 1.1× 2.1k 1.1× 577 0.4× 229 1.0× 293 1.3× 83 3.9k
Kyle W. Jackson United States 7 2.4k 0.9× 906 0.5× 2.6k 1.8× 125 0.5× 307 1.3× 10 3.7k
Greg H. Enders United States 19 1.8k 0.7× 938 0.5× 979 0.7× 128 0.5× 169 0.7× 31 2.4k
Wissam Abdallah United States 7 1.8k 0.7× 792 0.4× 2.2k 1.6× 155 0.7× 239 1.0× 15 3.1k
Xiaofeng Zheng United States 22 1.7k 0.6× 917 0.5× 1.6k 1.1× 165 0.7× 300 1.3× 52 2.9k
Pedro A. Pérez–Mancera United Kingdom 24 2.1k 0.8× 935 0.5× 1.0k 0.7× 161 0.7× 225 1.0× 38 3.1k

Countries citing papers authored by Ulrike Burk

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Burk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrike Burk

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

All Works

14 of 14 papers shown
1.
Sundararajan, Vignesh, Ulrike Burk, & Karolina Bajdak-Rusinek. (2022). Revisiting the miR-200 Family: A Clan of Five Siblings with Essential Roles in Development and Disease. Biomolecules. 12(6). 781–781. 18 indexed citations
2.
Hertel, Brigitte, Christopher R. Schvarcz, Andrea Saponaro, et al.. (2020). A Functional K+ Channel from Tetraselmis Virus 1, a Member of the Mimiviridae. Viruses. 12(10). 1107–1107. 3 indexed citations
3.
Köhler, M., Sebastian Halbach, Ulrike Burk, et al.. (2019). B-Raf deficiency impairs tumor initiation and progression in a murine breast cancer model. Oncogene. 38(8). 1324–1339. 11 indexed citations
4.
Mitschke, Julia, Ulrike Burk, & Thomas Reinheckel. (2019). The role of proteases in epithelial-to-mesenchymal cell transitions in cancer. Cancer and Metastasis Reviews. 38(3). 431–444. 34 indexed citations
5.
Sigloch, Florian Christoph, Ulrike Burk, Martin L. Biniossek, Thomas Brabletz, & Oliver Schilling. (2015). miR-200c dampens cancer cell migration via regulation of protein kinase a subunits. Oncotarget. 6(27). 23874–23889. 22 indexed citations
6.
Brabletz, Simone, Bogdan‐Tiberius Preca, Manuel Ruh, et al.. (2015). ZEB 1‐associated drug resistance in cancer cells is reversed by the class I HDAC inhibitor mocetinostat. EMBO Molecular Medicine. 7(6). 831–847. 188 indexed citations
7.
Brabletz, Simone, Karolina Bajdak-Rusinek, Ulrike Burk, et al.. (2011). The ZEB1/miR‐200 feedback loop controls Notch signalling in cancer cells. The EMBO Journal. 30(4). 770–782. 300 indexed citations
8.
Sass, Steffen, Sabine Dietmann, Ulrike Burk, et al.. (2011). MicroRNAs coordinately regulate protein complexes. BMC Systems Biology. 5(1). 136–136. 49 indexed citations
9.
Wellner, Ulrich F., Jörg Schubert, Ulrike Burk, et al.. (2009). The EMT-activator ZEB1 promotes tumorigenicity by repressing stemness-inhibiting microRNAs. Nature Cell Biology. 11(12). 1487–1495. 1380 indexed citations breakdown →
10.
Burk, Ulrike, Jörg Schubert, Ulrich F. Wellner, et al.. (2008). A reciprocal repression between ZEB1 and members of the miR‐200 family promotes EMT and invasion in cancer cells. EMBO Reports. 9(6). 582–589. 1432 indexed citations breakdown →
11.
Mußmann, Rainer, Marcus Geese, Yoan Ferandin, et al.. (2008). 9-Cyano-1-azapaullone (Cazpaullone), a Glycogen Synthase Kinase-3 (GSK-3) Inhibitor Activating Pancreatic β Cell Protection and Replication. Journal of Medicinal Chemistry. 51(7). 2196–2207. 78 indexed citations
12.
Mußmann, Rainer, Marcus Geese, Uwe Andag, et al.. (2007). Inhibition of GSK3 Promotes Replication and Survival of Pancreatic Beta Cells. Journal of Biological Chemistry. 282(16). 12030–12037. 124 indexed citations
13.
Burk, Ulrike, et al.. (1995). DIFFERENT SUBNUCLEAR LOCALIZATION OF WILD-TYPE AND MUTANT P53 IN HUMAN PROSTATE-CANCER CELLS. International Journal of Oncology. 7(6). 1355–60. 6 indexed citations
14.
Zwergel, T, et al.. (1995). PHENOTYPIC CHARACTERIZATION OF ANDROGEN RECEPTOR-RELATED PROLIFERATION IN PROSTATIC-CARCINOMA DERIVED CELL-CULTURES. International Journal of Oncology. 7(6). 1339–47. 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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