Matthias Becker

5.6k total citations
60 papers, 1.6k citations indexed

About

Matthias Becker is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Matthias Becker has authored 60 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Surgery. Recurrent topics in Matthias Becker's work include Epigenetics and DNA Methylation (10 papers), Single-cell and spatial transcriptomics (9 papers) and Genomics and Chromatin Dynamics (8 papers). Matthias Becker is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Single-cell and spatial transcriptomics (9 papers) and Genomics and Chromatin Dynamics (8 papers). Matthias Becker collaborates with scholars based in Germany, United States and Switzerland. Matthias Becker's co-authors include Gordon L. Hager, Andrew C.B. Cato, Helmut Klocker, Heike Peterziel, Sam John, Sigrun Mink, Marc Vigneron, Christopher T. Baumann, James G. McNally and Dawn A. Walker and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Matthias Becker

59 papers receiving 1.6k citations

Peers

Matthias Becker

GENET

PRM

GENET

SURGE

Andreas Massouras Switzerland

Ilse Wieland Germany

Anne‐Françoise Roux France

Tomasz Gambin Poland

Stephen C.J. Parker United States

Megan G. Davey United Kingdom

A.H.M. Geurts van Kessel Netherlands

Dierk Ingelfinger Germany

Yang Hong United States

Mia MacCollin United States

Andreas Massouras Switzerland

Matthias Becker

746 ×0.8

571 ×1.6

GENET

102 ×0.7

PRM

103 ×0.8

GENET

90 ×0.7

SURGE

Citations per year, relative to Matthias Becker Matthias Becker (= 1×) peers Andreas Massouras

Countries citing papers authored by Matthias Becker

Since Specialization

Citations

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

Fields of papers citing papers by Matthias Becker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Becker

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

All Works

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20 of 20 papers shown

Oestreich, Marie, Erinç Merdivan, Michael Lee, et al.. (2025). DrugDiff: small molecule diffusion model with flexible guidance towards molecular properties. Journal of Cheminformatics. 17(1). 23–23. 6 indexed citations

Holsten, Lisa, K. Dahm, Marie Oestreich, Matthias Becker, & Thomas Ulas. (2024). hCoCena: A toolbox for network-based co-expression analysis and horizontal integration of transcriptomic datasets. STAR Protocols. 5(1). 102922–102922. 1 indexed citations

Oestreich, Marie, et al.. (2024). Small molecule autoencoders: architecture engineering to optimize latent space utility and sustainability. Journal of Cheminformatics. 16(1). 5 indexed citations

Sauer, Mark V., et al.. (2022). lncRNAMalat1and miR-26 cooperate in the regulation of neuronal progenitor cell proliferation and differentiation. RNA. 29(1). 69–81. 5 indexed citations

Fernández, Lucia Torres, Sibylle Mitschka, Thomas Ulas, et al.. (2021). The stem cell–specific protein TRIM71 inhibits maturation and activity of the prodifferentiation miRNA let-7 via two independent molecular mechanisms. RNA. 27(7). 805–828. 16 indexed citations

Winnefeld, Marc, et al.. (2020). Human Adipose-Derived Mesenchymal Stromal/Stem Cell Spheroids Possess High Adipogenic Capacity and Acquire an Adipose Tissue-like Extracellular Matrix Pattern. Tissue Engineering Part A. 26(15-16). 915–926. 34 indexed citations

Becker, Matthias, et al.. (2020). A novel computational architecture for large-scale genomics. Nature Biotechnology. 38(11). 1239–1241. 3 indexed citations

Knoll, Rainer, et al.. (2019). Shiny-Seq: advanced guided transcriptome analysis. BMC Research Notes. 12(1). 432–432. 20 indexed citations

Warnat‐Herresthal, Stefanie, Konstantinos Perrakis, Bernd Taschler, et al.. (2019). Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics. iScience. 23(1). 100780–100780. 60 indexed citations

10.

Becker, Matthias, et al.. (2016). Polycomb Protein BMI1 Regulates Osteogenic Differentiation of Human Adipose Tissue-Derived Mesenchymal Stem Cells Downstream of GSK3. Stem Cells and Development. 25(12). 922–933. 7 indexed citations

11.

Wagner, Maximilian E.H., Nils‐Claudius Gellrich, Matthias Becker, et al.. (2015). Model-based segmentation in orbital volume measurement with cone beam computed tomography and evaluation against current concepts. International Journal of Computer Assisted Radiology and Surgery. 11(1). 1–9. 71 indexed citations

12.

Becker, Matthias, et al.. (2015). A computational approach to calculate personalized pennation angle based on MRI: effect on motion analysis. International Journal of Computer Assisted Radiology and Surgery. 11(5). 683–693. 5 indexed citations

13.

Obier, Nadine, Qiong Lin, Pierre Cauchy, et al.. (2014). Polycomb Protein EED is Required for Silencing of Pluripotency Genes upon ESC Differentiation. Stem Cell Reviews and Reports. 11(1). 50–61. 25 indexed citations

14.

Tran, Tram Anh T., Ruili Huang, Wenwei Huang, et al.. (2014). Identification of Small Molecule Modulators of Gene Transcription with Anticancer Activity. ACS Chemical Biology. 9(11). 2603–2611. 2 indexed citations

15.

Becker, Matthias & Pengfei Yu. (2013). What Makes Protein Indigestible from Tissue, Cellular and Molecular Structure Aspects?. Molecular Nutrition & Food Research. 57(10). 9 indexed citations

16.

Bieback, Karen, Patrick Wuchter, Daniel Besser, et al.. (2012). Mesenchymal stromal cells (MSCs): science and f(r)iction. Journal of Molecular Medicine. 90(7). 773–782. 46 indexed citations

17.

Becker, Matthias, et al.. (2008). C-RAF activation promotes BAD poly-ubiquitylation and turn-over by the proteasome. Biochemical and Biophysical Research Communications. 370(4). 552–556. 19 indexed citations

18.

Sheldon, Lynn A., Matthias Becker, & Catharine L. Smith. (2001). Steroid Hormone Receptor-mediated Histone Deacetylation and Transcription at the Mouse Mammary Tumor Virus Promoter. Journal of Biological Chemistry. 276(35). 32423–32426. 35 indexed citations

19.

Becker, Matthias, Andreas Bräuninger, Georg Wolf, Manfred Kaufmann, & Klaus Strebhardt. (2000). Identification and Functional Characterization of the Human and Murine Fibroblast Growth Factor Receptor 4 Promoters. Biochemical and Biophysical Research Communications. 276(2). 493–501. 10 indexed citations

20.

Becker, Matthias, et al.. (1961). Efficiency of simple and complex diets, with high or low protein content, in rations for lactating cows.. 19. 13–21. 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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