Stefan Semrau

3.0k total citations
32 papers, 1.2k citations indexed

About

Stefan Semrau is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Biophysics. According to data from OpenAlex, Stefan Semrau has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Atomic and Molecular Physics, and Optics and 6 papers in Biophysics. Recurrent topics in Stefan Semrau's work include Single-cell and spatial transcriptomics (8 papers), Lipid Membrane Structure and Behavior (8 papers) and Pluripotent Stem Cells Research (7 papers). Stefan Semrau is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Lipid Membrane Structure and Behavior (8 papers) and Pluripotent Stem Cells Research (7 papers). Stefan Semrau collaborates with scholars based in Netherlands, United States and Germany. Stefan Semrau's co-authors include Thomas Schmidt, Alexander van Oudenaarden, Timon Idema, Cornelis Storm, Nikolai Slavov, Bogdan Budnik, Rudolf Jaenisch, Edoardo M. Airoldi, Laurent Holtzer and Mazène Hochane and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Stefan Semrau

31 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefan Semrau Netherlands	19	989	164	124	123	82	32	1.2k
Anna Alemany Spain	16	1.2k 1.2×	213 1.3×	83 0.7×	135 1.1×	171 2.1×	32	1.6k
Hiroshi Ueno Japan	25	1.2k 1.2×	330 2.0×	145 1.2×	175 1.4×	44 0.5×	72	1.7k
Changjiang You Germany	24	1.1k 1.1×	330 2.0×	137 1.1×	55 0.4×	53 0.6×	91	1.7k
Shuo‐Xing Dou China	28	1.6k 1.7×	144 0.9×	62 0.5×	225 1.8×	140 1.7×	129	2.5k
Vincent Mercier Switzerland	17	872 0.9×	148 0.9×	133 1.1×	106 0.9×	199 2.4×	32	1.5k
Stefan Wennmalm Sweden	19	755 0.8×	168 1.0×	307 2.5×	134 1.1×	61 0.7×	43	1.2k
Juntao Gao China	19	764 0.8×	136 0.8×	176 1.4×	58 0.5×	63 0.8×	44	1.1k
Paul L. Appleton United Kingdom	21	814 0.8×	172 1.0×	150 1.2×	49 0.4×	111 1.4×	33	1.4k
Hernán E. Grecco Argentina	17	1.4k 1.4×	280 1.7×	292 2.4×	88 0.7×	62 0.8×	50	2.1k

Countries citing papers authored by Stefan Semrau

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Semrau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Semrau

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Semrau. A scholar is included among the top collaborators of Stefan Semrau 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 Stefan Semrau. Stefan Semrau 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

1.

Scheben, Armin, William J. Sullivan, Maria L. Sapar, et al.. (2025). Large scale quantification of natural killer cell-induced apoptosis in patient-derived organoids reveals intratumoral response heterogeneity. npj Precision Oncology. 10(1). 48–48.

2.

Mircea, Maria, et al.. (2024). The shapes of elongating gastruloids are consistent with convergent extension driven by a combination of active cell crawling and differential adhesion. PLoS Computational Biology. 20(2). e1011825–e1011825. 12 indexed citations

3.

Berg, Patrick R. van den, et al.. (2023). Integration of a multi-omics stem cell differentiation dataset using a dynamical model. PLoS Genetics. 19(5). e1010744–e1010744. 8 indexed citations

4.

Cao, Xu, Maria Mircea, Gopala Krishna Yakala, et al.. (2022). ETV2 Upregulation Marks the Specification of Early Cardiomyocytes and Endothelial Cells During Co-differentiation. Stem Cells. 41(2). 140–152. 1 indexed citations

5.

Mircea, Maria, Mazène Hochane, Xueying Fan, et al.. (2022). Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations. Genome biology. 23(1). 18–18. 7 indexed citations

6.

Berg, Patrick R. van den, Styliani Markoulaki, Frank Soldner, et al.. (2019). Dynamic Enhancer DNA Methylation as Basis for Transcriptional and Cellular Heterogeneity of ESCs. Molecular Cell. 75(5). 905–920.e6. 68 indexed citations

7.

Hochane, Mazène, Patrick R. van den Berg, Xueying Fan, et al.. (2019). Single-cell transcriptomics reveals gene expression dynamics of human fetal kidney development. PLoS Biology. 17(2). e3000152–e3000152. 95 indexed citations

8.

Messemaker, Tobias, Patrick R. van den Berg, Robert‐Jan Palstra, et al.. (2018). Allele-specific repression of Sox2 through the long non-coding RNA Sox2ot. Scientific Reports. 8(1). 386–386. 23 indexed citations

9.

Semrau, Stefan, Johanna Goldmann, Magali Soumillon, et al.. (2017). Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells. Nature. 4 indexed citations

10.

Semrau, Stefan, Johanna Goldmann, Magali Soumillon, et al.. (2017). Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells. Nature Communications. 8(1). 1096–1096. 122 indexed citations

11.

Dries, Ruben, Matthias S. Roost, Stefan Semrau, et al.. (2015). BMP-SMAD Signaling Regulates Lineage Priming, but Is Dispensable for Self-Renewal in Mouse Embryonic Stem Cells. Stem Cell Reports. 6(1). 85–94. 23 indexed citations

12.

Semrau, Stefan, Nicola Crosetto, Magda Bienko, et al.. (2014). FuseFISH: Robust Detection of Transcribed Gene Fusions in Single Cells. Cell Reports. 6(1). 18–23. 34 indexed citations

13.

Meckel, Tobias, Stefan Semrau, Marcel J. M. Schaaf, & Thomas Schmidt. (2011). Robust assessment of protein complex formation in vivo via single-molecule intensity distributions of autofluorescent proteins. Journal of Biomedical Optics. 16(7). 76016–76016. 9 indexed citations

14.

Semrau, Stefan, et al.. (2010). Membrane lysis by gramicidin S visualized in red blood cells and giant vesicles. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1798(11). 2033–2039. 19 indexed citations

15.

Semrau, Stefan, Timon Idema, Cornelis Storm, & Thomas Schmidt. (2009). How Membrane Curvature Can Sort Proteins. Biophysical Journal. 96(3). 364a–364a. 1 indexed citations

16.

Semrau, Stefan, Timon Idema, Thomas Schmidt, & Cornelis Storm. (2009). Membrane-Mediated Interactions Measured Using Membrane Domains. Biophysical Journal. 96(12). 4906–4915. 69 indexed citations

17.

Semrau, Stefan, et al.. (2009). Protein Incorporation in Giant Lipid Vesicles under Physiological Conditions. ChemBioChem. 11(2). 175–179. 39 indexed citations

18.

Semrau, Stefan, Timon Idema, Laurent Holtzer, Thomas Schmidt, & Cornelis Storm. (2008). Accurate Determination of Elastic Parameters for Multicomponent Membranes. Physical Review Letters. 100(8). 88101–88101. 99 indexed citations

19.

Meckel, Tobias, et al.. (2006). Guard Cells Elongate: Relationship of Volume and Surface Area during Stomatal Movement. Biophysical Journal. 92(3). 1072–1080. 72 indexed citations

20.

Semrau, Stefan & Thomas Schmidt. (2006). Particle Image Correlation Spectroscopy (PICS): Retrieving Nanometer-Scale Correlations from High-Density Single-Molecule Position Data. Biophysical Journal. 92(2). 613–621. 53 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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