Stephan Sauer

6.2k total citations · 4 hit papers
18 papers, 4.7k citations indexed

About

Stephan Sauer is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Stephan Sauer has authored 18 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Plant Science. Recurrent topics in Stephan Sauer's work include Genomics and Chromatin Dynamics (11 papers), Epigenetics and DNA Methylation (7 papers) and Pluripotent Stem Cells Research (5 papers). Stephan Sauer is often cited by papers focused on Genomics and Chromatin Dynamics (11 papers), Epigenetics and DNA Methylation (7 papers) and Pluripotent Stem Cells Research (5 papers). Stephan Sauer collaborates with scholars based in United Kingdom, United States and Austria. Stephan Sauer's co-authors include Amanda G. Fisher, Matthias Merkenschlager, Mikhail Spivakov, Véronique Azuara, Helle F. Jørgensen, Thomas Jenuwein, Antoine H.F.M. Peters, Gary Warnes, Marion Leleu and Bradley S. Cobb and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Stephan Sauer

17 papers receiving 4.6k citations

Hit Papers

Loss of the Suv39h Histone Methyltransferases Impairs Mam... 2001 2026 2009 2017 2001 2006 2008 2008 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephan Sauer United Kingdom 14 3.8k 832 656 544 271 18 4.7k
Mikhail Spivakov United Kingdom 29 4.1k 1.1× 1.1k 1.3× 700 1.1× 579 1.1× 286 1.1× 39 5.1k
Dmitri Loukinov United States 28 3.1k 0.8× 515 0.6× 1.1k 1.6× 284 0.5× 281 1.0× 44 3.6k
Dana J. Huebert United States 8 5.0k 1.3× 313 0.4× 833 1.3× 427 0.8× 221 0.8× 8 5.5k
Saı̈d Sif United States 36 5.4k 1.4× 563 0.7× 549 0.8× 164 0.3× 542 2.0× 58 6.0k
Michael H. Kagey United States 15 5.1k 1.3× 505 0.6× 549 0.8× 457 0.8× 591 2.2× 34 5.8k
N. C. Tolga Emre United States 10 3.1k 0.8× 374 0.4× 273 0.4× 364 0.7× 347 1.3× 13 3.6k
Karen Brown United Kingdom 16 2.0k 0.5× 703 0.8× 372 0.6× 310 0.6× 236 0.9× 22 2.6k
Yoichiro Shibata United States 24 2.4k 0.6× 417 0.5× 276 0.4× 321 0.6× 208 0.8× 36 3.0k
Dominique Leprince France 32 3.2k 0.8× 879 1.1× 552 0.8× 175 0.3× 781 2.9× 81 4.3k
Marek Bartkuhn Germany 28 2.5k 0.7× 244 0.3× 515 0.8× 551 1.0× 234 0.9× 65 3.0k

Countries citing papers authored by Stephan Sauer

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Sauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Sauer

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

All Works

18 of 18 papers shown
1.
Irastorza-Azcárate, Ibai, Alexander Kukalev, Rieke Kempfer, et al.. (2025). Extensive folding variability between homologous chromosomes in mammalian cells. Molecular Systems Biology. 21(7). 735–775.
2.
Bruno, Ludovica, Vijendra Ramlall, Romain A. Studer, et al.. (2019). Selective deployment of transcription factor paralogs with submaximal strength facilitates gene regulation in the immune system. Nature Immunology. 20(10). 1372–1380. 15 indexed citations
3.
Sauer, Stephan, Sandra Burkett, Mark Lewandoski, & Amar J. S. Klar. (2013). A CO-FISH assay to assess sister chromatid segregation patterns in mitosis of mouse embryonic stem cells. Chromosome Research. 21(3). 311–328. 8 indexed citations
4.
Sauer, Stephan & Amar J. S. Klar. (2012). Left-right symmetry breaking in mice by left-right dynein may occur via a biased chromatid segregation mechanism, without directly involving the Nodal gene. SHILAP Revista de lepidopterología. 2. 166–166. 24 indexed citations
5.
Pereira, Carlos‐Filipe, Francesco M. Piccolo, Tomomi Tsubouchi, et al.. (2010). ESCs Require PRC2 to Direct the Successful Reprogramming of Differentiated Cells toward Pluripotency. Cell stem cell. 6(6). 547–556. 130 indexed citations
6.
Bruno, Ludovica, Luca Mazzarella, Maarten Hoogenkamp, et al.. (2009). Runx proteins regulate Foxp3 expression. The Journal of Cell Biology. 187(3). i3–i3. 3 indexed citations
7.
Bruno, Ludovica, Luca Mazzarella, Maarten Hoogenkamp, et al.. (2009). Runx proteins regulate Foxp3 expression. The Journal of Experimental Medicine. 206(11). 2329–2337. 82 indexed citations
8.
Hadjur, Suzana, Mikhail Spivakov, Marion Leleu, et al.. (2008). Cohesins Functionally Associate with CTCF on Mammalian Chromosome Arms. Cell. 132(3). 422–433. 699 indexed citations breakdown →
9.
Sauer, Stephan, Ludovica Bruno, Arnulf Hertweck, et al.. (2008). T cell receptor signaling controls Foxp3 expression via PI3K, Akt, and mTOR. Proceedings of the National Academy of Sciences. 105(22). 7797–7802. 699 indexed citations breakdown →
10.
Azuara, Véronique, Stephan Sauer, Mikhail Spivakov, et al.. (2006). Chromatin signatures of pluripotent cell lines. Nature Cell Biology. 8(5). 532–538. 1029 indexed citations breakdown →
11.
Williams, Ruth, Véronique Azuara, Stephan Sauer, et al.. (2005). Neural induction promotes large-scale chromatin reorganisation of theMash1locus. Journal of Cell Science. 119(1). 132–140. 236 indexed citations
12.
Terranova, Rémi, Stephan Sauer, Matthias Merkenschlager, & Amanda G. Fisher. (2005). The reorganisation of constitutive heterochromatin in differentiating muscle requires HDAC activity. Experimental Cell Research. 310(2). 344–356. 69 indexed citations
13.
Sauer, Stephan, Nathalie Billon, William D. Richardson, et al.. (2004). A dynamic switch in the replication timing of key regulator genes in embryonic stem cells upon neural induction.. PubMed. 3(12). 1645–50. 87 indexed citations
14.
Baxter, Jonathan, Stephan Sauer, Antoine H.F.M. Peters, et al.. (2004). Histone hypomethylation is an indicator of epigenetic plasticity in quiescent lymphocytes. The EMBO Journal. 23(22). 4462–4472. 93 indexed citations
15.
Sauer, Stephan, Nathalie Billon, William D. Richardson, et al.. (2004). A Dynamic Switch in the Replication Timing of Key Regulator Genes in Embryonic Stem Cells upon Neural Induction. Cell Cycle. 3(12). 1619–1624. 75 indexed citations
16.
Peters, Antoine H.F.M., Dónal O’Carroll, Harry Scherthan, et al.. (2001). Loss of the Suv39h Histone Methyltransferases Impairs Mammalian Heterochromatin and Genome Stability. Cell. 107(3). 323–337. 1356 indexed citations breakdown →
17.
Sauer, Stephan, Antoine H.F.M. Peters, Andrea Wolf, et al.. (2001). Over-expression of the SUV39H1 histone methyltransferase induces altered proliferation and differentiation in transgenic mice. Mechanisms of Development. 107(1-2). 141–153. 52 indexed citations
18.
Sauer, Stephan, et al.. (1997). Selective Photocyclization of Amino Acids in Dipeptides. CHIMIA International Journal for Chemistry. 51(1-2). 23–23. 3 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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