Tamás Schauer

1.2k total citations
36 papers, 751 citations indexed

About

Tamás Schauer is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Tamás Schauer has authored 36 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 9 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Tamás Schauer's work include Genomics and Chromatin Dynamics (23 papers), RNA Research and Splicing (13 papers) and DNA Repair Mechanisms (8 papers). Tamás Schauer is often cited by papers focused on Genomics and Chromatin Dynamics (23 papers), RNA Research and Splicing (13 papers) and DNA Repair Mechanisms (8 papers). Tamás Schauer collaborates with scholars based in Germany, United States and France. Tamás Schauer's co-authors include Peter B. Becker, Tobias Straub, Andreas G. Ladurner, Maria‐Elena Torres‐Padilla, Raffaella Villa, Carla Margulies, Catherine Regnard, Máté Borsos, Jop Kind and Elias R. Ruiz-Morales and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Tamás Schauer

33 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamás Schauer Germany 15 642 112 100 76 45 36 751
Christian Feller Germany 10 660 1.0× 105 0.9× 117 1.2× 39 0.5× 51 1.1× 12 780
Lori A. Pile United States 19 602 0.9× 96 0.9× 85 0.8× 26 0.3× 21 0.5× 30 702
Elisabeth Simboeck Austria 9 775 1.2× 143 1.3× 102 1.0× 82 1.1× 69 1.5× 11 872
David Yao United States 10 479 0.7× 56 0.5× 95 0.9× 44 0.6× 27 0.6× 12 642
Herbert Holz Germany 12 875 1.4× 127 1.1× 204 2.0× 47 0.6× 49 1.1× 15 963
Maria Lluı̈sa Espinás Spain 15 557 0.9× 131 1.2× 119 1.2× 38 0.5× 38 0.8× 21 663
Nicholas J. McGlincy United Kingdom 8 843 1.3× 89 0.8× 54 0.5× 25 0.3× 76 1.7× 9 949
Anna V. Kotrys Poland 9 917 1.4× 67 0.6× 114 1.1× 19 0.3× 63 1.4× 11 1.0k
Andrew Seeber Switzerland 20 1.2k 1.9× 166 1.5× 94 0.9× 106 1.4× 64 1.4× 23 1.3k
Hana Hall United States 12 1.0k 1.6× 130 1.2× 65 0.7× 37 0.5× 82 1.8× 19 1.1k

Countries citing papers authored by Tamás Schauer

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Schauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamás Schauer

This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Schauer. A scholar is included among the top collaborators of Tamás Schauer 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 Tamás Schauer. Tamás Schauer 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.
Schauer, Tamás, Jianfeng Sun, Jonas J. Funke, et al.. (2025). H4K16 acylations destabilize chromatin architecture and facilitate transcriptional response during metabolic perturbations. Molecular Cell. 86(1). 24–40.e10.
2.
3.
Nakatani, Tsunetoshi, Tamás Schauer, Mrinmoy Pal, et al.. (2025). RIF1 controls replication timing in early mouse embryos independently of lamina-associated nuclear organization. Developmental Cell. 60(16). 2149–2162.e7.
4.
Pal, Mrinmoy, Tamás Schauer, Adam Burton, et al.. (2025). The establishment of nuclear organization in mouse embryos is orchestrated by multiple epigenetic pathways. Cell. 188(13). 3583–3602.e21. 3 indexed citations
5.
Apostolou, Zivkos, et al.. (2025). The Tip60 acetylome is a hallmark of the proliferative state in Drosophila. Nucleic Acids Research. 53(20).
6.
Masserdotti, Giacomo, Tatiana Simon, Tamás Schauer, et al.. (2024). Direct neuronal reprogramming of mouse astrocytes is associated with multiscale epigenome remodeling and requires Yy1. Nature Neuroscience. 27(7). 1260–1273. 14 indexed citations
7.
Nakatani, Tsunetoshi, Tamás Schauer, Kyle N. Klein, et al.. (2023). Emergence of replication timing during early mammalian development. Nature. 625(7994). 401–409. 28 indexed citations
8.
Shcherbakova, Irina, et al.. (2023). The histone H4K20 methyltransferase SUV4-20H1/KMT5B is required for multiciliated cell differentiation in Xenopus. Life Science Alliance. 6(7). e202302023–e202302023. 1 indexed citations
9.
Nakatani, Tsunetoshi, Andreas Ettinger, Tamás Schauer, et al.. (2023). A change in biophysical properties accompanies heterochromatin formation in mouse embryos. Genes & Development. 37(7-8). 336–350. 10 indexed citations
10.
Schauer, Tamás, Andrey Tvardovskiy, Stefan Meiser, et al.. (2023). Single-copy locus proteomics of early- and late-firing DNA replication origins identifies a role of Ask1/DASH complex in replication timing control. Cell Reports. 42(2). 112045–112045. 3 indexed citations
11.
Pal, Mrinmoy, et al.. (2023). Reorganization of lamina-associated domains in early mouse embryos is regulated by RNA polymerase II activity. Genes & Development. 37(19-20). 901–912. 11 indexed citations
12.
Thomae, Andreas W., P. Krueger, Tamás Schauer, et al.. (2021). The Integrity of the HMR complex is necessary for centromeric binding and reproductive isolation in Drosophila. PLoS Genetics. 17(8). e1009744–e1009744. 5 indexed citations
13.
Müller, Marisa, Tamás Schauer, & Peter B. Becker. (2021). Identification of Intrinsic RNA Binding Specificity of Purified Proteins by in vitro RNA Immunoprecipitation (vitRIP). BIO-PROTOCOL. 11(5). e3946–e3946. 1 indexed citations
14.
Murawska, Magdalena, et al.. (2021). The histone chaperone FACT facilitates heterochromatin spreading by regulating histone turnover and H3K9 methylation states. Cell Reports. 37(5). 109944–109944. 24 indexed citations
15.
Juhász, Szilvia, Rebecca Smith, Tamás Schauer, et al.. (2020). The chromatin remodeler ALC1 underlies resistance to PARP inhibitor treatment. Science Advances. 6(51). 83 indexed citations
16.
Schauer, Tamás, et al.. (2019). Altered Localization of Hybrid Incompatibility Proteins in Drosophila. Molecular Biology and Evolution. 36(8). 1783–1792. 10 indexed citations
17.
Wang, Chao, Geoffrey P. Dann, Felix Wojcik, et al.. (2019). JASPer controls interphase histone H3S10 phosphorylation by chromosomal kinase JIL-1 in Drosophila. Nature Communications. 10(1). 5343–5343. 13 indexed citations
18.
Villa, Raffaella, Tamás Schauer, Pawel Smialowski, Tobias Straub, & Peter B. Becker. (2016). PionX sites mark the X chromosome for dosage compensation. Nature. 537(7619). 244–248. 54 indexed citations
19.
Scholz, Claus Jürgen, Tobias Müller, Marcus Dittrich, et al.. (2015). Genome-Wide Association Analyses Point to Candidate Genes for Electric Shock Avoidance in Drosophila melanogaster. PLoS ONE. 10(5). e0126986–e0126986. 11 indexed citations
20.
Schauer, Tamás, et al.. (2009). Misregulated RNA Pol II C-terminal domain phosphorylation results in apoptosis. Cellular and Molecular Life Sciences. 66(5). 909–918. 8 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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