Markus Kretz

4.7k total citations · 2 hit papers
30 papers, 3.7k citations indexed

About

Markus Kretz is a scholar working on Molecular Biology, Cancer Research and Endocrinology. According to data from OpenAlex, Markus Kretz has authored 30 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 17 papers in Cancer Research and 6 papers in Endocrinology. Recurrent topics in Markus Kretz's work include Cancer-related molecular mechanisms research (17 papers), RNA Research and Splicing (11 papers) and Connexins and lens biology (8 papers). Markus Kretz is often cited by papers focused on Cancer-related molecular mechanisms research (17 papers), RNA Research and Splicing (11 papers) and Connexins and lens biology (8 papers). Markus Kretz collaborates with scholars based in Germany, United States and Netherlands. Markus Kretz's co-authors include Sonja Hombach, Paul A. Khavari, Dan E. Webster, Kun Qu, Ross J. Flockhart, Amy Truong, Robin A. Kimmel, Todd W. Ridky, Zurab Siprashvili and Howard Y. Chang and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Markus Kretz

30 papers receiving 3.6k citations

Hit Papers

Control of somatic tissue differentiation by the long non... 2012 2026 2016 2021 2012 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
Markus Kretz Germany 22 2.9k 2.1k 320 268 206 30 3.7k
Éric Gabison France 26 946 0.3× 361 0.2× 384 1.2× 192 0.7× 342 1.7× 94 4.0k
Luisa Statello Italy 14 3.1k 1.1× 2.8k 1.3× 180 0.6× 256 1.0× 287 1.4× 18 4.0k
Lan Lin United States 23 2.4k 0.8× 668 0.3× 100 0.3× 110 0.4× 207 1.0× 39 3.2k
Justin Wong Australia 30 2.4k 0.8× 889 0.4× 463 1.4× 113 0.4× 664 3.2× 72 3.5k
Linda D. Siracusa United States 36 2.7k 0.9× 704 0.3× 435 1.4× 168 0.6× 370 1.8× 86 4.2k
Jia Yu China 36 3.8k 1.3× 3.1k 1.5× 359 1.1× 181 0.7× 319 1.5× 103 4.7k
Gerrit J.P. Dijkgraaf United States 20 2.4k 0.8× 359 0.2× 918 2.9× 247 0.9× 131 0.6× 21 3.0k
Jesús Pérez‐Losada Spain 27 1.6k 0.6× 496 0.2× 1.1k 3.6× 329 1.2× 254 1.2× 71 2.7k
Caterina Missero Italy 31 2.4k 0.8× 374 0.2× 1.1k 3.5× 160 0.6× 206 1.0× 68 3.5k
I-hsin Su Singapore 21 2.4k 0.8× 447 0.2× 321 1.0× 133 0.5× 1.1k 5.4× 30 3.6k

Countries citing papers authored by Markus Kretz

Since Specialization
Citations

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

Fields of papers citing papers by Markus Kretz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Kretz

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Kretz. A scholar is included among the top collaborators of Markus Kretz 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 Markus Kretz. Markus Kretz 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.
Schwartz, Uwe, et al.. (2024). lncRNA LINC00941 modulates MTA2/NuRD occupancy to suppress premature human epidermal differentiation. Life Science Alliance. 7(7). e202302475–e202302475. 4 indexed citations
2.
Kretz, Markus, et al.. (2023). The human long non-coding RNA LINC00941 and its modes of action in health and disease. Biological Chemistry. 404(11-12). 1025–1036. 4 indexed citations
3.
Ziegler, Christian, Stefan Faderl, Jessica L. Schedlbauer, et al.. (2019). The long non‐coding RNA LINC 00941 and SPRR 5 are novel regulators of human epidermal homeostasis. EMBO Reports. 20(2). 39 indexed citations
4.
Lindenmeyer, Maja T., Sebastian Beck, Panagiotis Politis, et al.. (2019). Glomerular expression pattern of long non-coding RNAs in the type 2 diabetes mellitus BTBR mouse model. Scientific Reports. 9(1). 9765–9765. 6 indexed citations
5.
Tanis, Sabine E.J., Pascal W.T.C. Jansen, Huiqing Zhou, et al.. (2018). Splicing and Chromatin Factors Jointly Regulate Epidermal Differentiation. Cell Reports. 25(5). 1292–1303.e5. 18 indexed citations
6.
Ziegler, Christian & Markus Kretz. (2017). The More the Merrier—Complexity in Long Non-Coding RNA Loci. Frontiers in Endocrinology. 8. 90–90. 30 indexed citations
7.
Hombach, Sonja & Markus Kretz. (2016). Non-coding RNAs: Classification, Biology and Functioning. Advances in experimental medicine and biology. 937. 3–17. 673 indexed citations breakdown →
8.
Thorenoor, Nithyananda, Petra Vychytilova‐Faltejskova, Sonja Hombach, et al.. (2015). Long non-coding RNA ZFAS1 interacts with CDK1 and is involved in p53-dependent cell cycle control and apoptosis in colorectal cancer. Oncotarget. 7(1). 622–637. 158 indexed citations
9.
Lopez-Pajares, Vanessa, Kun Qu, Jiajing Zhang, et al.. (2015). A LncRNA-MAF:MAFB Transcription Factor Network Regulates Epidermal Differentiation. Developmental Cell. 32(6). 693–706. 143 indexed citations
10.
Kretz, Markus. (2013). TINCR, staufen1, and cellular differentiation. RNA Biology. 10(10). 1597–1601. 61 indexed citations
11.
Hombach, Sonja & Markus Kretz. (2013). The non‐coding skin: Exploring the roles of long non‐coding RNAs in epidermal homeostasis and disease. BioEssays. 35(12). 1093–1100. 46 indexed citations
12.
Kretz, Markus, Zurab Siprashvili, Ci Chu, et al.. (2012). Control of somatic tissue differentiation by the long non-coding RNA TINCR. Nature. 493(7431). 231–235. 742 indexed citations breakdown →
13.
Kretz, Markus, Dan E. Webster, Ross J. Flockhart, et al.. (2012). Suppression of progenitor differentiation requires the long noncoding RNA ANCR. Genes & Development. 26(4). 338–343. 365 indexed citations
14.
Reuter, Jason, Susana Ortiz‐Urda, Markus Kretz, et al.. (2009). Modeling Inducible Human Tissue Neoplasia Identifies an Extracellular Matrix Interaction Network Involved in Cancer Progression. Cancer Cell. 15(6). 477–488. 68 indexed citations
15.
Zheng‐Fischhöfer, Qingyi, Mark Kibschull, Markus Kretz, et al.. (2007). Characterization of Connexin31.1-deficient mice reveals impaired placental development. Developmental Biology. 312(1). 258–271. 42 indexed citations
16.
Zheng‐Fischhöfer, Qingyi, Ekrem Dere, Jörg Strotmann, et al.. (2007). Characterization of connexin30.3-deficient mice suggests a possible role of connexin30.3 in olfaction. European Journal of Cell Biology. 86(11-12). 683–700. 22 indexed citations
17.
Truong, Amy, Markus Kretz, Todd W. Ridky, Robin A. Kimmel, & Paul A. Khavari. (2006). p63 regulates proliferation and differentiation of developmentally mature keratinocytes. Genes & Development. 20(22). 3185–3197. 402 indexed citations
18.
Kretz, Markus, Dominik Eckardt, Olaf Krüger, et al.. (2006). Normal embryonic development and cardiac morphogenesis in mice with Wnt1‐Cre‐mediated deletion of connexin43. genesis. 44(6). 269–276. 9 indexed citations
19.
Bedner, Peter, et al.. (2005). Selective Permeability of Different Connexin Channels to the Second Messenger Cyclic AMP. Journal of Biological Chemistry. 281(10). 6673–6681. 76 indexed citations
20.
Maass, Karen, Alexander Ghanem, Jung-Sun Kim, et al.. (2004). Defective Epidermal Barrier in Neonatal Mice Lacking the C-Terminal Region of Connexin43. Molecular Biology of the Cell. 15(10). 4597–4608. 110 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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