Steffen Jaensch

1.3k total citations
17 papers, 737 citations indexed

About

Steffen Jaensch is a scholar working on Molecular Biology, Biophysics and Cell Biology. According to data from OpenAlex, Steffen Jaensch has authored 17 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Biophysics and 5 papers in Cell Biology. Recurrent topics in Steffen Jaensch's work include Cell Image Analysis Techniques (6 papers), Microtubule and mitosis dynamics (5 papers) and Photosynthetic Processes and Mechanisms (3 papers). Steffen Jaensch is often cited by papers focused on Cell Image Analysis Techniques (6 papers), Microtubule and mitosis dynamics (5 papers) and Photosynthetic Processes and Mechanisms (3 papers). Steffen Jaensch collaborates with scholars based in Belgium, United States and Germany. Steffen Jaensch's co-authors include Anthony A. Hyman, Markus Decker, Frank Jülicher, David Zwicker, Eugene W. Myers, Andrei Pozniakovsky, Wolfgang Zachariae, Kevin O‘Connell, Garrett Greenan and Clifford P. Brangwynne and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Steffen Jaensch

16 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steffen Jaensch Belgium 9 496 262 102 65 60 17 737
André Schönichen Germany 14 591 1.2× 383 1.5× 26 0.3× 22 0.3× 44 0.7× 17 906
Zhen-Yuan Lin United States 6 1.2k 2.4× 422 1.6× 101 1.0× 38 0.6× 8 0.1× 8 1.4k
Timothy J. Ragan United Kingdom 16 854 1.7× 70 0.3× 61 0.6× 32 0.5× 10 0.2× 26 1.1k
Mohit Kumar United States 15 587 1.2× 113 0.4× 58 0.6× 15 0.2× 23 0.4× 33 977
Swasti Raychaudhuri India 11 709 1.4× 264 1.0× 54 0.5× 87 1.3× 8 0.1× 26 933
Carl Co United States 9 859 1.7× 664 2.5× 24 0.2× 16 0.2× 79 1.3× 14 1.2k
Stephanie Heinrich Switzerland 14 912 1.8× 209 0.8× 35 0.3× 9 0.1× 27 0.5× 25 1.1k
Stephanie A. Bueler Canada 17 1.1k 2.2× 204 0.8× 106 1.0× 9 0.1× 14 0.2× 25 1.3k
Julie Ménétrey France 18 954 1.9× 719 2.7× 41 0.4× 13 0.2× 11 0.2× 27 1.4k

Countries citing papers authored by Steffen Jaensch

Since Specialization
Citations

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

Fields of papers citing papers by Steffen Jaensch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steffen Jaensch

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

All Works

17 of 17 papers shown
1.
2.
Herman, Dorota, Lê Vǎn Thành, Natalie Mesens, et al.. (2023). Leveraging Cell Painting Images to Expand the Applicability Domain and Actively Improve Deep Learning Quantitative Structure–Activity Relationship Models. Chemical Research in Toxicology. 36(7). 1028–1036. 7 indexed citations
3.
Doijen, Jordi, Inha Heo, Koen Temmerman, et al.. (2023). A flexible, image-based, high-throughput platform encompassing in-depth cell profiling to identify broad-spectrum coronavirus antivirals with limited off-target effects. Antiviral Research. 222. 105789–105789. 1 indexed citations
4.
Kathman, Stefan G., Seong Joo Koo, Hsuan-Lin Her, et al.. (2023). Remodeling oncogenic transcriptomes by small molecules targeting NONO. Nature Chemical Biology. 19(7). 825–836. 49 indexed citations
5.
Branch, Jonathan R., Tammy L. Bush, Vineet Pande, et al.. (2021). Discovery of JNJ-63576253, a Next-Generation Androgen Receptor Antagonist Active Against Wild-Type and Clinically Relevant Ligand Binding Domain Mutations in Metastatic Castration-Resistant Prostate Cancer. Molecular Cancer Therapeutics. 20(5). 763–774. 5 indexed citations
6.
Vergauwen, Karen, Steffen Jaensch, Emmanuel Gustin, et al.. (2021). Development of a cellular high-content, immunofluorescent HBV core assay to identify novel capsid assembly modulators that induce the formation of aberrant HBV core structures. Journal of Virological Methods. 293. 114150–114150. 6 indexed citations
7.
Cox, Michael J., Steffen Jaensch, Seong Joo Koo, et al.. (2020). Tales of 1,008 small molecules: phenomic profiling through live-cell imaging in a panel of reporter cell lines. Scientific Reports. 10(1). 13262–13262. 36 indexed citations
8.
Verheyen, An, Annick Diels, Joke Reumers, et al.. (2018). Genetically Engineered iPSC-Derived FTDP-17 MAPT Neurons Display Mutation-Specific Neurodegenerative and Neurodevelopmental Phenotypes. Stem Cell Reports. 11(2). 363–379. 43 indexed citations
9.
Barbier, Michaël, Steffen Jaensch, Frans W. Cornelissen, et al.. (2016). Ellipsoid Segmentation Model for Analyzing Light-Attenuated 3D Confocal Image Stacks of Fluorescent Multi-Cellular Spheroids. PLoS ONE. 11(6). e0156942–e0156942. 8 indexed citations
10.
Battles, Michael B., Johannes P. M. Langedijk, Supranee Chaiwatpongsakorn, et al.. (2015). Molecular mechanism of respiratory syncytial virus fusion inhibitors. Nature Chemical Biology. 12(2). 87–93. 120 indexed citations
11.
Verbist, Bie, Geert R. Verheyen, Marjolein Crabbe, et al.. (2015). Integrating High-Dimensional Transcriptomics and Image Analysis Tools into Early Safety Screening: Proof of Concept for a New Early Drug Development Strategy. Chemical Research in Toxicology. 28(10). 1914–1925. 7 indexed citations
12.
Zwicker, David, et al.. (2014). Centrosomes are autocatalytic droplets of pericentriolar material organized by centrioles. Max Planck Institute for Plasma Physics. 2014. 2 indexed citations
13.
Zwicker, David, Markus Decker, Steffen Jaensch, Anthony A. Hyman, & Frank Jülicher. (2014). Centrosomes are autocatalytic droplets of pericentriolar material organized by centrioles. Proceedings of the National Academy of Sciences. 111(26). E2636–45. 159 indexed citations
14.
Decker, Markus, Steffen Jaensch, Andrei Pozniakovsky, et al.. (2011). Limiting Amounts of Centrosome Material Set Centrosome Size in C. elegans Embryos. Current Biology. 21(15). 1259–1267. 161 indexed citations
15.
Greenan, Garrett, et al.. (2010). Centrosome Size Sets Mitotic Spindle Length in Caenorhabditis elegans Embryos. Current Biology. 20(4). 353–358. 105 indexed citations
16.
Jaensch, Steffen, Markus Decker, Anthony A. Hyman, & Eugene W. Myers. (2010). Automated tracking and analysis of centrosomes in early Caenorhabditis elegans embryos. Bioinformatics. 26(12). i13–i20. 27 indexed citations
17.
Jaensch, Steffen, Hartmut Schmidt, & Marius Grundmann. (2006). Quantitative scanning capacitance microscopy. Physica B Condensed Matter. 376-377. 913–915. 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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