Stefan Krauß

16.7k total citations · 7 hit papers
163 papers, 13.6k citations indexed

About

Stefan Krauß is a scholar working on Molecular Biology, Biomedical Engineering and Physiology. According to data from OpenAlex, Stefan Krauß has authored 163 papers receiving a total of 13.6k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Molecular Biology, 25 papers in Biomedical Engineering and 20 papers in Physiology. Recurrent topics in Stefan Krauß's work include Wnt/β-catenin signaling in development and cancer (37 papers), Cancer-related gene regulation (25 papers) and Developmental Biology and Gene Regulation (23 papers). Stefan Krauß is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (37 papers), Cancer-related gene regulation (25 papers) and Developmental Biology and Gene Regulation (23 papers). Stefan Krauß collaborates with scholars based in Norway, United States and Germany. Stefan Krauß's co-authors include Bradford B. Lowell, Chen‐Yu Zhang, Jean‐Paul Concordet, Philip W. Ingham, Ondřej Machoň, Anders Fjose, Terje Johansen, Vladimir Korzh, Chenyu Zhang and Julie St‐Pierre and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Stefan Krauß

160 papers receiving 13.4k citations

Hit Papers

A functionally conserved homolog of the Drosophila segmen... 1993 2026 2004 2015 1993 2004 2001 2001 2003 250 500 750

Peers

Stefan Krauß
Linda Hu United States
Markus A. Rüegg Switzerland
Ruth T. Yu United States
En Li United States
Sidney Strickland United States
Sebastian Brandner United Kingdom
Stefan Krauß
Citations per year, relative to Stefan Krauß Stefan Krauß (= 1×) peers Thomas E. Willnow

Countries citing papers authored by Stefan Krauß

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Krauß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Krauß

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Krauß. A scholar is included among the top collaborators of Stefan Krauß 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 Krauß. Stefan Krauß 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.
Louch, William E., et al.. (2025). Bioimpedance and electrophysiology measurements of engineered heart tissues outside the culture medium. Biosensors and Bioelectronics. 287. 117634–117634.
2.
Delon, Ludivine, et al.. (2025). Placental Syncytium‐on‐Chip (PSoC)–Comparison of Forskolin or Mechanical Induced‐Syncytialization. Advanced Healthcare Materials. 14(21). e2404462–e2404462.
3.
Sowa, Sven T., Murat Kücükdisli, David Schaller, et al.. (2025). Deconstruction of Dual-Site Tankyrase Inhibitors Provides Insights into Binding Energetics and Suggests Critical Hotspots for Ligand Optimization. Journal of Medicinal Chemistry. 68(7). 7263–7279.
4.
Shoji, Jun‐ya, Richard P. Davis, Christine L. Mummery, & Stefan Krauß. (2025). Global Literature Analysis of Tumor Organoid and Tumor-on-Chip Research. Cancers. 17(1). 108–108. 1 indexed citations
5.
Aizenshtadt, Aleksandra, Chencheng Wang, Hanne Røberg‐Larsen, et al.. (2024). Pump‐Less, Recirculating Organ‐on‐Chip (rOoC) Platform to Model the Metabolic Crosstalk between Islets and Liver. Advanced Healthcare Materials. 13(13). e2303785–e2303785. 16 indexed citations
6.
Hunter, A., et al.. (2024). Scalable, Transparent, and Micro: 3D‐Printed Rapid Tooling for Injection Molded Microfluidics. Advanced Engineering Materials. 26(20). 2 indexed citations
7.
Aizenshtadt, Aleksandra, Hege G. Bakke, Stefan Krauß, et al.. (2023). Development of three-dimensional primary human myospheres as culture model of skeletal muscle cells for metabolic studies. Frontiers in Bioengineering and Biotechnology. 11. 1130693–1130693. 10 indexed citations
8.
Aizenshtadt, Aleksandra, Minzhi Yu, Anna Schwendeman, et al.. (2023). Quantitative chemometric phenotyping of three-dimensional liver organoids by Raman spectral imaging. Cell Reports Methods. 3(4). 100440–100440. 18 indexed citations
9.
Shoji, Jun‐ya, Richard P. Davis, Christine L. Mummery, & Stefan Krauß. (2023). Global Literature Analysis of Organoid and Organ‐on‐Chip Research. Advanced Healthcare Materials. 13(21). e2301067–e2301067. 33 indexed citations
10.
Busek, Mathias, Aleksandra Aizenshtadt, Timo Koch, et al.. (2022). Pump-less, recirculating organ-on-a-chip (rOoC) platform. Lab on a Chip. 23(4). 591–608. 27 indexed citations
11.
Espada, Sandra, Clara Hammarström, Aleksandra Aizenshtadt, et al.. (2022). The Tankyrase Inhibitor OM-153 Demonstrates Antitumor Efficacy and a Therapeutic Window in Mouse Models. Cancer Research Communications. 2(4). 233–245. 11 indexed citations
12.
Waaler, Jo, Ruben G.G. Leenders, Sven T. Sowa, et al.. (2020). Preclinical Lead Optimization of a 1,2,4-Triazole Based Tankyrase Inhibitor. Journal of Medicinal Chemistry. 63(13). 6834–6846. 24 indexed citations
13.
Solberg, Nina Therese, et al.. (2017). TANKYRASE Inhibition Enhances the Antiproliferative Effect of PI3K and EGFR Inhibition, Mutually Affecting β-CATENIN and AKT Signaling in Colorectal Cancer. Molecular Cancer Research. 16(3). 543–553. 41 indexed citations
14.
Waaler, Jo, Alexander Ignatev, Katina Lazarow, et al.. (2017). Discovery of a Novel Series of Tankyrase Inhibitors by a Hybridization Approach. Journal of Medicinal Chemistry. 60(24). 10013–10025. 28 indexed citations
15.
Pedersen, Nina Marie, Eva M. Wenzel, Sebastian W. Schultz, et al.. (2015). Structure, Dynamics, and Functionality of Tankyrase Inhibitor-Induced Degradasomes. Molecular Cancer Research. 13(11). 1487–1501. 36 indexed citations
16.
Lau, Ted, Emily Chan, Marinella Callow, et al.. (2013). A Novel Tankyrase Small-Molecule Inhibitor Suppresses APC Mutation–Driven Colorectal Tumor Growth. Cancer Research. 73(10). 3132–3144. 256 indexed citations
17.
Waaler, Jo, Ondřej Machoň, Lucie Tůmová, et al.. (2012). A Novel Tankyrase Inhibitor Decreases Canonical Wnt Signaling in Colon Carcinoma Cells and Reduces Tumor Growth in Conditional APC Mutant Mice. Cancer Research. 72(11). 2822–2832. 278 indexed citations
18.
Waaler, Jo, Ondřej Machoň, Jens Peter von Kries, et al.. (2011). Novel Synthetic Antagonists of Canonical Wnt Signaling Inhibit Colorectal Cancer Cell Growth. Cancer Research. 71(1). 197–205. 144 indexed citations
19.
Krauß, Stefan, Chenyu Zhang, Luca Scorrano, et al.. (2003). Superoxide-mediated activation of uncoupling protein 2 causes pancreatic β cell dysfunction. Journal of Clinical Investigation. 112(12). 1831–1842. 296 indexed citations
20.
Krauß, Stefan, Chenyu Zhang, Luca Scorrano, et al.. (2003). Superoxide-mediated activation of uncoupling protein 2 causes pancreatic β cell dysfunction. Journal of Clinical Investigation. 112(12). 1831–1842. 272 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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