Ulrich Blache

1.4k total citations · 1 hit paper
25 papers, 902 citations indexed

About

Ulrich Blache is a scholar working on Biomedical Engineering, Surgery and Molecular Biology. According to data from OpenAlex, Ulrich Blache has authored 25 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 7 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Ulrich Blache's work include CAR-T cell therapy research (6 papers), Cellular Mechanics and Interactions (6 papers) and 3D Printing in Biomedical Research (6 papers). Ulrich Blache is often cited by papers focused on CAR-T cell therapy research (6 papers), Cellular Mechanics and Interactions (6 papers) and 3D Printing in Biomedical Research (6 papers). Ulrich Blache collaborates with scholars based in Switzerland, Germany and Denmark. Ulrich Blache's co-authors include Jess G. Snedeker, Martin Ehrbar, Eileen Gentleman, Stephan Fricke, Ulrike Koehl, Molly M. Stevens, Iván Martín, Queralt Vallmajó-Martín, April M. Kloxin and Ovijit Chaudhuri and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Cell Science.

In The Last Decade

Ulrich Blache

25 papers receiving 893 citations

Hit Papers

Engineered hydrogels for mechanobiology 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrich Blache Switzerland 17 370 204 185 178 166 25 902
Brian J. Kwee United States 13 510 1.4× 144 0.7× 301 1.6× 211 1.2× 158 1.0× 20 966
Jonathan J. Campbell United Kingdom 14 511 1.4× 157 0.8× 211 1.1× 166 0.9× 212 1.3× 25 993
Kristin Andreas Germany 13 257 0.7× 146 0.7× 211 1.1× 177 1.0× 103 0.6× 15 1.0k
Woojin M. Han United States 21 503 1.4× 136 0.7× 377 2.0× 482 2.7× 202 1.2× 38 1.3k
Zophia X.H. Lim Singapore 15 340 0.9× 123 0.6× 288 1.6× 200 1.1× 194 1.2× 15 1.0k
Ankit Salhotra United States 8 378 1.0× 142 0.7× 530 2.9× 172 1.0× 67 0.4× 15 1.2k
Karen E. Martin United States 11 452 1.2× 171 0.8× 256 1.4× 300 1.7× 186 1.1× 15 1.1k
Elizabeth A. Aisenbrey United States 13 678 1.8× 234 1.1× 325 1.8× 273 1.5× 184 1.1× 17 1.2k
Asma Sharif United States 8 290 0.8× 131 0.6× 262 1.4× 154 0.9× 434 2.6× 14 1.1k
Estelle Collin Ireland 18 358 1.0× 80 0.4× 251 1.4× 262 1.5× 147 0.9× 30 1.2k

Countries citing papers authored by Ulrich Blache

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Blache

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Blache

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Blache. A scholar is included among the top collaborators of Ulrich Blache 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 Ulrich Blache. Ulrich Blache 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.
Kitte, Reni, Robert Serfling, Ulrich Blache, et al.. (2025). Optimal Chimeric Antigen Receptor (CAR)-mRNA for Transient CAR T Cell Generation. International Journal of Molecular Sciences. 26(3). 965–965. 4 indexed citations
2.
Kläs, Michael, et al.. (2025). A User‐Centric Approach to Reliable Automated Flow Cytometry Data Analysis for Biomedical Applications. Cytometry Part A. 107(2). 111–125. 1 indexed citations
3.
Tretbar, Sandy, Joel G. Rurik, Even H Rustad, et al.. (2024). Non-viral vectors for chimeric antigen receptor immunotherapy. Nature Reviews Methods Primers. 4(1). 5 indexed citations
4.
Blache, Ulrich, Sandy Tretbar, Ulrike Koehl, Dimitrios Mougiakakos, & Stephan Fricke. (2023). CAR T cells for treating autoimmune diseases. RMD Open. 9(4). e002907–e002907. 50 indexed citations
5.
Blache, Ulrich, Eden M. Ford, Byung Hang Ha, et al.. (2022). Engineered hydrogels for mechanobiology. Nature Reviews Methods Primers. 2(1). 98–98. 140 indexed citations breakdown →
6.
Blache, Ulrich, et al.. (2022). Potential solutions for manufacture of CAR T cells in cancer immunotherapy. Nature Communications. 13(1). 5225–5225. 80 indexed citations
7.
Blache, Ulrich, Andreas Boldt, Michael Kapinsky, et al.. (2021). Advanced Flow Cytometry Assays for Immune Monitoring of CAR-T Cell Applications. Frontiers in Immunology. 12. 658314–658314. 39 indexed citations
8.
Blache, Ulrich, et al.. (2021). Inhibition of ERK 1/2 kinases prevents tendon matrix breakdown. Scientific Reports. 11(1). 6838–6838. 16 indexed citations
9.
Schwarz, Thomas, Robert Schmitt, Ulrich Blache, et al.. (2021). From Single Batch to Mass Production–Automated Platform Design Concept for a Phase II Clinical Trial Tissue Engineered Cartilage Product. Frontiers in Medicine. 8. 712917–712917. 10 indexed citations
10.
Blache, Ulrich, Molly M. Stevens, & Eileen Gentleman. (2020). Harnessing the secreted extracellular matrix to engineer tissues. Nature Biomedical Engineering. 4(4). 357–363. 77 indexed citations
11.
Horton, Edward R., Queralt Vallmajó-Martín, Iván Martín, et al.. (2020). Extracellular Matrix Production by Mesenchymal Stromal Cells in Hydrogels Facilitates Cell Spreading and Is Inhibited by FGF‐2. Advanced Healthcare Materials. 9(7). e1901669–e1901669. 35 indexed citations
12.
Blache, Ulrich, Barbara Niederöst, Fabian S. Passini, et al.. (2020). Tendon response to matrix unloading is determined by the patho-physiological niche. Matrix Biology. 89. 11–26. 43 indexed citations
13.
Lienemann, Philipp S., Queralt Vallmajó-Martín, Ulrich Blache, et al.. (2020). Smart Hydrogels for the Augmentation of Bone Regeneration by Endogenous Mesenchymal Progenitor Cell Recruitment. Advanced Science. 7(7). 1903395–1903395. 59 indexed citations
14.
Blache, Ulrich, et al.. (2019). Tendon tissue microdamage and the limits of intrinsic repair. Matrix Biology. 85-86. 68–79. 46 indexed citations
15.
Blache, Ulrich, Edward R. Horton, Erwin M. Schoof, et al.. (2019). Mesenchymal stromal cell activation by breast cancer secretomes in bioengineered 3D microenvironments. Life Science Alliance. 2(3). e201900304–e201900304. 38 indexed citations
16.
Blache, Ulrich, Queralt Vallmajó-Martín, Edward R. Horton, et al.. (2018). Notch‐inducing hydrogels reveal a perivascular switch of mesenchymal stem cell fate. EMBO Reports. 19(8). 40 indexed citations
17.
Blache, Ulrich, et al.. (2017). A dual phenotype of MDA-MB-468 cancer cells reveals mutual regulation of tensin3 and adhesion plasticity. Journal of Cell Science. 130(13). 2172–2184. 12 indexed citations
18.
Blache, Ulrich & Martin Ehrbar. (2017). Inspired by Nature: Hydrogels as Versatile Tools for Vascular Engineering. Advances in Wound Care. 7(7). 232–246. 47 indexed citations
19.
Metzger, Stéphanie, Ulrich Blache, Philipp S. Lienemann, et al.. (2016). Cell-Mediated Proteolytic Release of Growth Factors from Poly(Ethylene Glycol) Matrices. Macromolecular Bioscience. 16(11). 1703–1713. 18 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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