Stefan Kubicek

14.9k total citations · 4 hit papers
185 papers, 8.6k citations indexed

About

Stefan Kubicek is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Stefan Kubicek has authored 185 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Electrical and Electronic Engineering, 57 papers in Molecular Biology and 35 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Stefan Kubicek's work include Semiconductor materials and devices (79 papers), Advancements in Semiconductor Devices and Circuit Design (78 papers) and Integrated Circuits and Semiconductor Failure Analysis (37 papers). Stefan Kubicek is often cited by papers focused on Semiconductor materials and devices (79 papers), Advancements in Semiconductor Devices and Circuit Design (78 papers) and Integrated Circuits and Semiconductor Failure Analysis (37 papers). Stefan Kubicek collaborates with scholars based in Belgium, Austria and United States. Stefan Kubicek's co-authors include Thomas Jenuwein, Laura Perez-Burgos, Roderick J. O’Sullivan, Karl Mechtler, Susanne Opravil, Antoine H.F.M. Peters, Alwin A.H.A. Derijck, Stuart L. Schreiber, Roopsha Sengupta and En Li and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Stefan Kubicek

180 papers receiving 8.5k citations

Hit Papers

Suv39h-Mediated Histone H3 Lysine 9 Methylation Directs D... 2003 2026 2010 2018 2003 2003 2007 2006 250 500 750

Peers

Stefan Kubicek
Stephen J. Kron United States
Mark Skehel United Kingdom
Frank J. Steemers United States
John F. Eccleston United Kingdom
Stefan Kubicek
Citations per year, relative to Stefan Kubicek Stefan Kubicek (= 1×) peers Aaron Bensimon

Countries citing papers authored by Stefan Kubicek

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Kubicek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Kubicek

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Kubicek. A scholar is included among the top collaborators of Stefan Kubicek 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 Kubicek. Stefan Kubicek 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.
Godfrin, Clément, Stefan Kubicek, Ruoyu Li, et al.. (2025). Industrial 300 mm wafer processed spin qubits in natural silicon/silicon-germanium. npj Quantum Information. 11(1). 3 indexed citations
2.
Godfrin, Clément, George Simion, Julien Jussot, et al.. (2025). Statistical analysis of spurious dot formation in silicon metal-oxide-semiconductor single electron transistors. Physical review. B.. 111(12).
3.
Buganim, Yosef, Yotam Drier, Vincent Mouly, et al.. (2024). Differentiation shifts from a reversible to an irreversible heterochromatin state at the DM1 locus. Nature Communications. 15(1). 3270–3270. 4 indexed citations
4.
Ciobanu, Maria, et al.. (2024). Pooled multicolour tagging for visualizing subcellular protein dynamics. Nature Cell Biology. 26(5). 745–756. 15 indexed citations
5.
Colas, Claire, Anna Koren, Fabian Offensperger, et al.. (2023). Paralog-dependent isogenic cell assay cascade generates highly selective SLC16A3 inhibitors. Cell chemical biology. 30(8). 953–964.e9. 4 indexed citations
6.
Godfrin, Clément, Stefan Kubicek, Julien Jussot, et al.. (2023). Comprehensive 300 mm process for Silicon spin qubits with modular integration. 1–2. 2 indexed citations
7.
Mohiyaddin, Fahd A., Stefan Kubicek, Julien Jussot, et al.. (2021). High mobility SiMOSFETs fabricated in a full 300 mm CMOS process. edoc (University of Basel). 1(4). 41001–41001. 10 indexed citations
8.
Staber, Philipp B., Marco Herling, Mar Bellido, et al.. (2019). Consensus criteria for diagnosis, staging, and treatment response assessment of T-cell prolymphocytic leukemia. Blood. 134(14). 1132–1143. 67 indexed citations
9.
Schick, Sandra, André F. Rendeiro, Anna Ringler, et al.. (2019). Systematic characterization of BAF mutations provides insights into intracomplex synthetic lethalities in human cancers. Nature Genetics. 51(9). 1399–1410. 91 indexed citations
10.
Mohiyaddin, Fahd A., A. Spessot, B. Govoreanu, et al.. (2019). Multiphysics Simulation & Design of Silicon Quantum Dot Qubit Devices. IEEE Conference Proceedings. 2019. 1–39. 3 indexed citations
11.
Maleńczyk, Katarzyna, Fatima Girach, Petter Storm, et al.. (2017). A TRPV 1‐to‐secretagogin regulatory axis controls pancreatic β‐cell survival by modulating protein turnover. The EMBO Journal. 36(14). 2107–2125. 48 indexed citations
12.
Fomina‐Yadlin, Dina, Stefan Kubicek, Amedeo Vetere, et al.. (2012). Correction: GW8510 Increases Insulin Expression in Pancreatic Alpha Cells through Activation of p53 Transcriptional Activity. PLoS ONE. 7(3). 1 indexed citations
13.
Winter, Georg, Uwe Rix, Andrej Lissat, et al.. (2011). An Integrated Chemical Biology Approach Identifies Specific Vulnerability of Ewing's Sarcoma to Combined Inhibition of Aurora Kinases A and B. Molecular Cancer Therapeutics. 10(10). 1846–1856. 32 indexed citations
14.
Goux, L., R. Degraeve, B. Govoreanu, et al.. (2011). Evidences of anodic-oxidation reset mechanism in TiN\NiO\Ni RRAM cells. Symposium on VLSI Technology. 24–25. 4 indexed citations
15.
Fomina‐Yadlin, Dina, Stefan Kubicek, Deepika Walpita, et al.. (2010). Small-molecule inducers of insulin expression in pancreatic α-cells. Proceedings of the National Academy of Sciences. 107(34). 15099–15104. 58 indexed citations
16.
Ortolland, C., T. Chiarella, Stefan Kubicek, et al.. (2008). Laser-annealed junctions with advanced CMOS gate stacks for 32nm node: perspectives on device performance and manufacturability. 186–187. 4 indexed citations
17.
Lehnertz, Bernhard, Yoshihide Ueda, Alwin A.H.A. Derijck, et al.. (2003). Suv39h-Mediated Histone H3 Lysine 9 Methylation Directs DNA Methylation to Major Satellite Repeats at Pericentric Heterochromatin. Current Biology. 13(14). 1192–1200. 949 indexed citations breakdown →
18.
Meer, H. van, et al.. (1999). High performance raised Gate/Source/Drain transistors for sub-0.15 um CMOS technologies. European Solid-State Device Research Conference. 1. 388–391. 2 indexed citations
19.
Waite, A.M., et al.. (1998). A Novel Deep Submicron Elevated Source/Drain MOSFET. ePrints Soton (University of Southampton). 2 indexed citations
20.
Kubicek, Stefan, et al.. (1998). Explanation of the "long distance" Vt roll-off in deep submicron nMOS transistors with Indium channel. European Solid-State Device Research Conference. 368–371. 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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