Laura Steenpaß

475 total citations
28 papers, 279 citations indexed

About

Laura Steenpaß is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Laura Steenpaß has authored 28 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Laura Steenpaß's work include Genetic Syndromes and Imprinting (9 papers), Epigenetics and DNA Methylation (9 papers) and CRISPR and Genetic Engineering (7 papers). Laura Steenpaß is often cited by papers focused on Genetic Syndromes and Imprinting (9 papers), Epigenetics and DNA Methylation (9 papers) and CRISPR and Genetic Engineering (7 papers). Laura Steenpaß collaborates with scholars based in Germany, Austria and Australia. Laura Steenpaß's co-authors include Florian M. Pauler, Paulina A. Latos, Katarzyna E. Warczok, Denise P. Barlow, Martha V. Koerner, Ru Huang, Stefan H. Stricker, Christine Unger, Roman Goetzke and Kakkad Regha and has published in prestigious journals such as The EMBO Journal, PLoS ONE and Development.

In The Last Decade

Laura Steenpaß

24 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Steenpaß Germany 9 205 112 53 45 42 28 279
Katelin N. Townsend Canada 11 221 1.1× 94 0.8× 52 1.0× 48 1.1× 36 0.9× 12 413
Julien Tarabeux France 8 89 0.4× 73 0.7× 46 0.9× 56 1.2× 8 0.2× 10 195
Lama AlAbdi Saudi Arabia 12 203 1.0× 64 0.6× 32 0.6× 7 0.2× 14 0.3× 26 318
Hubert Smeets Netherlands 6 255 1.2× 47 0.4× 33 0.6× 14 0.3× 11 0.3× 9 304
A.E. MacKenzie Canada 7 271 1.3× 65 0.6× 17 0.3× 26 0.6× 24 0.6× 7 363
Natsue Omi Japan 8 143 0.7× 38 0.3× 18 0.3× 16 0.4× 7 0.2× 12 295
Isabelle Rouvet France 11 250 1.2× 27 0.2× 14 0.3× 31 0.7× 15 0.4× 13 371
Fatimah Rahman United Kingdom 7 278 1.4× 209 1.9× 12 0.2× 19 0.4× 132 3.1× 9 439
Mohammed E. El‐Asrag United Kingdom 10 153 0.7× 58 0.5× 14 0.3× 17 0.4× 7 0.2× 17 211
Gaoen Ma China 9 275 1.3× 61 0.5× 29 0.5× 22 0.5× 5 0.1× 19 357

Countries citing papers authored by Laura Steenpaß

Since Specialization
Citations

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

Fields of papers citing papers by Laura Steenpaß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Steenpaß

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Steenpaß. A scholar is included among the top collaborators of Laura Steenpaß 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 Laura Steenpaß. Laura Steenpaß 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.
2.
Eberth, Sonja, Julia Koblitz, Laura Steenpaß, & Claudia Pommerenke. (2025). Refined variant calling pipeline on RNA-seq data of breast cancer cell lines without matched-normal samples. BMC Research Notes. 18(1). 67–67.
3.
Steenpaß, Laura, et al.. (2025). Chromosomal quality control in hPSCs: A practical guide to SNP array analysis with GenomeStudio. Frontiers in Cell and Developmental Biology. 13. 1599923–1599923. 1 indexed citations
4.
Afanasyeva, Elena, M. Schneider, Christopher Schröder, et al.. (2024). A MYCN-driven de-differentiation profile identifies a subgroup of aggressive retinoblastoma. Communications Biology. 7(1). 919–919. 2 indexed citations
5.
Pommerenke, Claudia, et al.. (2024). Molecular Characterization and Subtyping of Breast Cancer Cell Lines Provide Novel Insights into Cancer Relevant Genes. Cells. 13(4). 301–301. 10 indexed citations
6.
Kaufmann, Maren, et al.. (2024). Generation of three iPSC lines with inducible systems to be used in Angelman syndrome research. Stem Cell Research. 78. 103454–103454. 1 indexed citations
7.
Steenpaß, Laura, et al.. (2024). Optimized for routine: highly sensitive fluorescent Telomeric Repeat Amplification Protocol (f-TRAP). BioTechniques. 76(10). 517–522.
8.
Kanber, Deniz, Alexandra Brenzel, Janine Altmüller, et al.. (2022). RB1-Negative Retinal Organoids Display Proliferation of Cone Photoreceptors and Loss of Retinal Differentiation. Cancers. 14(9). 2166–2166. 8 indexed citations
9.
Pommerenke, Claudia, Ulfert Rand, Cord C. Uphoff, et al.. (2021). Identification of cell lines CL-14, CL-40 and CAL-51 as suitable models for SARS-CoV-2 infection studies. PLoS ONE. 16(8). e0255622–e0255622. 15 indexed citations
10.
Steenpaß, Laura, Wiebke Hansen, Michael Zeschnigk, et al.. (2021). CRISPR/Cas9-mediated demethylation of FOXP3-TSDR toward Treg-characteristic programming of Jurkat T cells. Cellular Immunology. 371. 104471–104471. 11 indexed citations
11.
Dirks, Wilhelm G., Amanda Capes‐Davis, Sonja Eberth, et al.. (2021). Cross contamination meets misclassification: Awakening of CHP‐100 from sleeping beauty sleep—A reviewed model for Ewing's sarcoma. International Journal of Cancer. 148(10). 2608–2613. 3 indexed citations
12.
Kanber, Deniz, et al.. (2020). Biallelic and monoallelic deletion of the RB1 promoter in six isogenic clonal H9 hESC lines. Stem Cell Research. 45. 101779–101779. 2 indexed citations
13.
Tandon, Rashmi, Björn Brändl, Alexandro Landshammer, et al.. (2018). Generation of two human isogenic iPSC lines from fetal dermal fibroblasts. Stem Cell Research. 33. 120–124. 12 indexed citations
14.
Brändl, Björn, et al.. (2018). Generation of an iPSC line of a patient with Angelman syndrome due to an imprinting defect. Stem Cell Research. 33. 20–24. 7 indexed citations
15.
Theißen, Jessica, et al.. (2018). Comprehensive characterization of RB1 mutant and MYCN amplified retinoblastoma cell lines. Experimental Cell Research. 375(2). 92–99. 23 indexed citations
16.
Steenpaß, Laura. (2017). Generation of two H1 hESC sublines carrying a heterozygous and homozygous knock-out of RB1. Stem Cell Research. 25. 270–273. 2 indexed citations
17.
Goetzke, Roman, et al.. (2016). Angelman syndrome-derived neurons display late onset of paternal UBE3A silencing. Scientific Reports. 6(1). 30792–30792. 51 indexed citations
18.
Steenpaß, Laura, et al.. (2015). A Mouse Model for Imprinting of the Human Retinoblastoma Gene. PLoS ONE. 10(8). e0134672–e0134672. 5 indexed citations
19.
Latos, Paulina A., Stefan H. Stricker, Laura Steenpaß, et al.. (2009). An in vitro ES cell imprinting model shows that imprinted expression of the Igf2r gene arises from an allele-specific expression bias. Journal of Cell Science. 122(3). 4 indexed citations
20.
Stricker, Stefan H., Laura Steenpaß, Florian M. Pauler, et al.. (2008). Silencing and transcriptional properties of the imprinted Airn ncRNA are independent of the endogenous promoter. The EMBO Journal. 27(23). 3116–3128. 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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