Patrick Steigemann

2.3k total citations
18 papers, 1.4k citations indexed

About

Patrick Steigemann is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Patrick Steigemann has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cell Biology and 4 papers in Oncology. Recurrent topics in Patrick Steigemann's work include Microtubule and mitosis dynamics (6 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Epigenetics and DNA Methylation (3 papers). Patrick Steigemann is often cited by papers focused on Microtubule and mitosis dynamics (6 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Epigenetics and DNA Methylation (3 papers). Patrick Steigemann collaborates with scholars based in Germany, Switzerland and United States. Patrick Steigemann's co-authors include Daniel W. Gerlich, Julien Guizetti, Claudia Wurzenberger, Michael Held, Michael H. A. Schmitz, Herbert Jäckle, Gerd Vorbrüggen, Sonja Fellert, Karsten Parczyk and Stefan Prechtl and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Patrick Steigemann

18 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Steigemann Germany 14 947 724 224 146 144 18 1.4k
Yoichiro Kamimura Japan 19 2.0k 2.1× 921 1.3× 188 0.8× 124 0.8× 130 0.9× 30 2.3k
Andreas Ettinger Germany 16 668 0.7× 451 0.6× 94 0.4× 108 0.7× 88 0.6× 23 1.2k
Reina E. Itoh Japan 9 1.1k 1.2× 887 1.2× 132 0.6× 128 0.9× 186 1.3× 10 1.7k
Xiaoyan Song China 12 559 0.6× 753 1.0× 108 0.5× 118 0.8× 135 0.9× 14 1.3k
Andrea Palamidessi Italy 21 994 1.0× 989 1.4× 209 0.9× 113 0.8× 94 0.7× 31 1.7k
Myrto Raftopoulou United Kingdom 5 1.0k 1.1× 609 0.8× 199 0.9× 64 0.4× 136 0.9× 10 1.5k
Emily M. Hatch United States 14 1.7k 1.7× 622 0.9× 151 0.7× 77 0.5× 142 1.0× 20 2.0k
Delquin Gong United States 11 858 0.9× 218 0.3× 197 0.9× 93 0.6× 175 1.2× 12 1.1k
Toru Hiratsuka Japan 12 527 0.6× 308 0.4× 140 0.6× 110 0.8× 107 0.7× 21 990
Mazen Sidani United States 13 843 0.9× 1.1k 1.5× 364 1.6× 252 1.7× 139 1.0× 16 1.9k

Countries citing papers authored by Patrick Steigemann

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Steigemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Steigemann

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Steigemann. A scholar is included among the top collaborators of Patrick Steigemann 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 Patrick Steigemann. Patrick Steigemann 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.
Garaizar, Adiran, Sami Rissanen, Johannes Köbberling, et al.. (2024). Toward understanding lipid reorganization in RNA lipid nanoparticles in acidic environments. Proceedings of the National Academy of Sciences. 121(45). e2404555121–e2404555121. 11 indexed citations
2.
Farack, Lydia, Jan Krämer, Duy Nguyen, et al.. (2023). High Throughput FISH Screening Identifies Small Molecules That Modulate Oncogenic lncRNA MALAT1 via GSK3B and hnRNPs. Non-Coding RNA. 9(1). 2–2. 3 indexed citations
3.
Mortier, Jérémie, Anders Friberg, Volker Badock, et al.. (2020). Computationally Empowered Workflow Identifies Novel Covalent Allosteric Binders for KRASG12C. ChemMedChem. 15(10). 827–832. 22 indexed citations
4.
Nicke, Barbara, et al.. (2018). PDE5 inhibition eliminates cancer stem cells via induction of PKA signaling. Cell Death and Disease. 9(2). 192–192. 32 indexed citations
5.
Lesche, Ralf, Matthias Keck, Stefan Kaulfuß, et al.. (2017). Functional inhibition of acid sphingomyelinase by Fluphenazine triggers hypoxia-specific tumor cell death. Cell Death and Disease. 8(3). e2709–e2709. 33 indexed citations
6.
Hernando, Henar, Kathy A. Gelato, Ralf Lesche, et al.. (2015). EZH2 Inhibition Blocks Multiple Myeloma Cell Growth through Upregulation of Epithelial Tumor Suppressor Genes. Molecular Cancer Therapeutics. 15(2). 287–298. 52 indexed citations
7.
Otto, Saskia A., et al.. (2015). A novel 3D high-content assay identifies compounds that prevent fibroblast invasion into tissue surrogates. Experimental Cell Research. 339(1). 35–43. 19 indexed citations
8.
Gentili, Christian, Dennis Castor, Patrick Steigemann, et al.. (2015). Chromosome Missegregation Associated with RUVBL1 Deficiency. PLoS ONE. 10(7). e0133576–e0133576. 27 indexed citations
9.
Christian, Sven, Carolyn Algire, Wolfgang Schwede, et al.. (2015). Abstract 317: 3D high-content screening for the identification of compounds that target cells in dormant tumor spheroid regions. Cancer Research. 75(15_Supplement). 317–317. 1 indexed citations
10.
Rennefahrt, Ulrike, Sandra González Maldonado, Alexander M. Walter, et al.. (2015). Abstract 1164: Metabolic responses in cancer cells with differential susceptibility to GLUT1 inhibition. Cancer Research. 75(15_Supplement). 1164–1164. 1 indexed citations
11.
Riefke, Björn, Stephan Gründemann, A. T. Krebs, et al.. (2014). 3D high-content screening for the identification of compounds that target cells in dormant tumor spheroid regions. Experimental Cell Research. 323(1). 131–143. 193 indexed citations
12.
Steigemann, Patrick, et al.. (2009). Reception of Slit requires only the chondroitin–sulphate-modified extracellular domain of Syndecan at the target cell surface. Proceedings of the National Academy of Sciences. 106(29). 11984–11988. 37 indexed citations
13.
Steigemann, Patrick, Claudia Wurzenberger, Michael H. A. Schmitz, et al.. (2009). Aurora B-Mediated Abscission Checkpoint Protects against Tetraploidization. Cell. 136(3). 473–484. 481 indexed citations
14.
Steigemann, Patrick & Daniel W. Gerlich. (2009). Cytokinetic abscission: cellular dynamics at the midbody. Trends in Cell Biology. 19(11). 606–616. 125 indexed citations
15.
Olma, Michael H., Patrick Steigemann, Daniel W. Gerlich, et al.. (2009). The Cul3–KLHL21 E3 ubiquitin ligase targets Aurora B to midzone microtubules in anaphase and is required for cytokinesis. The Journal of Cell Biology. 187(6). 791–800. 106 indexed citations
16.
Steigemann, Patrick, et al.. (2004). Heparan Sulfate Proteoglycan Syndecan Promotes Axonal and Myotube Guidance by Slit/Robo Signaling. Current Biology. 14(3). 225–230. 169 indexed citations
17.
Steigemann, Patrick, et al.. (2002). Inhibition of APC-mediated proteolysis by the meiosis-specific protein kinase Ime2. Proceedings of the National Academy of Sciences. 99(7). 4385–4390. 36 indexed citations
18.
Künzler, Markus, et al.. (2000). Yeast Ran-binding Protein Yrb1p Is Required for Efficient Proteolysis of Cell Cycle Regulatory Proteins Pds1p and Sic1p. Journal of Biological Chemistry. 275(49). 38929–38937. 21 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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