Oliver Mücke

743 total citations
11 papers, 269 citations indexed

About

Oliver Mücke is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Oliver Mücke has authored 11 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Genetics. Recurrent topics in Oliver Mücke's work include Epigenetics and DNA Methylation (7 papers), Acute Myeloid Leukemia Research (4 papers) and Viral Infections and Immunology Research (1 paper). Oliver Mücke is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Acute Myeloid Leukemia Research (4 papers) and Viral Infections and Immunology Research (1 paper). Oliver Mücke collaborates with scholars based in Germany, Norway and Italy. Oliver Mücke's co-authors include Christoph Plass, Dieter Weichenhan, Christian Flotho, Charlotte M. Niemeyer, Rainer Claus, Daniel B. Lipka, Evgeny A. Moskalev, William Greenhalf, Jörg D. Hoheisel and Matthias M. Gaida and has published in prestigious journals such as Cancer Research, International Journal of Molecular Sciences and PLoS Computational Biology.

In The Last Decade

Oliver Mücke

11 papers receiving 262 citations

Peers

Oliver Mücke

HEMAT

ONCOL

GENET

Martijn A. van der Ent United States

Felicia Hernandez United States

Man Chun John United States

Christian Kaehler Germany

Kevin Watanabe‐Smith United States

Renata Scopim‐Ribeiro Brazil

Ilse Zondervan Netherlands

Danika Di Giacomo Italy

Amal Arachiche United States

Abigail Knecht United States

Martijn A. van der Ent United States

Oliver Mücke

93 ×0.5

25 ×0.4

46 ×0.8

HEMAT

20 ×0.4

ONCOL

18 ×0.5

GENET

Citations per year, relative to Oliver Mücke Oliver Mücke (= 1×) peers Martijn A. van der Ent

Countries citing papers authored by Oliver Mücke

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Mücke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Mücke

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

All Works

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11 of 11 papers shown

Goyal, Ashish, Dieter Weichenhan, Eric Allemand, et al.. (2023). TAL1 activation in T-cell acute lymphoblastic leukemia: a novel oncogenic 3’ neo-enhancer. Haematologica. 108(5). 1259–1271. 9 indexed citations

Zucknick, Manuela, Richard F. Schlenk, Daniel Mertens, et al.. (2023). Predictive value of DNA methylation patterns in AML patients treated with an azacytidine containing induction regimen. Clinical Epigenetics. 15(1). 171–171. 2 indexed citations

Pacholewska, Alicja, Christina Grimm, Carmen Herling, et al.. (2021). Altered DNA Methylation Profiles in SF3B1 Mutated CLL Patients. International Journal of Molecular Sciences. 22(17). 9337–9337. 4 indexed citations

Epting, Thomas, et al.. (2017). Epigenetic dysregulation of the erythropoietic transcription factor KLF1 and the β-like globin locus in juvenile myelomonocytic leukemia. Epigenetics. 12(8). 715–723. 15 indexed citations

Botla, Sandeep K., Soniya Savant, Pouria Jandaghi, et al.. (2016). Early Epigenetic Downregulation of microRNA-192 Expression Promotes Pancreatic Cancer Progression. Cancer Research. 76(14). 4149–4159. 67 indexed citations

Steiert, Bernhard, Sofia Depner, Andreas Raue, et al.. (2016). Identification of Cell Type-Specific Differences in Erythropoietin Receptor Signaling in Primary Erythroid and Lung Cancer Cells. PLoS Computational Biology. 12(8). e1005049–e1005049. 30 indexed citations

Boerries, Melanie, Hauke Busch, Aikaterini Symeonidi, et al.. (2016). CREBBP is a target of epigenetic, but not genetic, modification in juvenile myelomonocytic leukemia. Clinical Epigenetics. 8(1). 50–50. 19 indexed citations

Kostareli, Efterpi, Thomas Hielscher, Manuela Zucknick, et al.. (2016). Gene promoter methylation signature predicts survival of head and neck squamous cell carcinoma patients. Epigenetics. 11(1). 61–73. 31 indexed citations

Lipka, Daniel B., Tania Witte, Oliver Mücke, et al.. (2016). Epigenetic silencing of AKAP12 in juvenile myelomonocytic leukemia. Epigenetics. 11(2). 110–119. 27 indexed citations

10.

Claus, Rainer, Oliver Mücke, Kristin Rentzsch, et al.. (2013). Promoter DNA methylation regulates progranulin expression and is altered in FTLD. Acta Neuropathologica Communications. 1(1). 16–16. 35 indexed citations

11.

Ivandic, Boris, Philipp Ehlermann, Oliver Mücke, et al.. (2006). Large-scale mutation screening in patients with dilated or hypertrophic cardiomyopathy: a pilot study using DGGE. Journal of Molecular Medicine. 84(8). 682–691. 30 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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