The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Three-dimensional force microscopy of cells in biopolymer networks
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Citations
Cites
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Lämmermann, T., Bader, B. L., Monkley, S. J., Worbs, T., Wedlich-Söldner, R., Hirsch, K., Keller, M., Förster, R., Critchley, D. R., Fässler, R., et al. (2008) · Nature · doi:10.1038/nature06887 · Cited by 1,397
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Effects of extracellular matrix viscoelasticity on cellular behaviour
Chaudhuri, O., Cooper-White, J., Janmey, P. A., Mooney, D. J., & Shenoy, V. B. (2020) · Nature · doi:10.1038/s41586-020-2612-2 · Cited by 2,224
Modeling physiological events in 2D vs. 3D cell culture
Duval, K., Grover, H., Han, L.-H., Mou, Y., Pegoraro, A. F., Fredberg, J., & Chen, Z. (2017) · Physiology · doi:10.1152/physiol.00036.2016 · Cited by 1,849
Integrin-mediated mechanotransduction
Sun, Z., Guo, S. S., & Fässler, R. (2016) · Journal of Cell Biology · doi:10.1083/jcb.201609037 · Cited by 1,079
Measuring cell-generated forces: a guide to the available tools
Polacheck, W. J., & Chen, C. S. (2016) · Nature Methods · doi:10.1038/nmeth.3834 · Cited by 489
The soft mechanical signature of glial scars in the central nervous system
Moeendarbary, E., Weber, I. P., Sheridan, G. K., Koser, D. E., Soleman, S., Haenzi, B., Bradbury, E. J., Fawcett, J., & Franze, K. (2017) · Nature Communications · doi:10.1038/ncomms14787 · Cited by 406
Fibrous nonlinear elasticity enables positive mechanical feedback between cells and ECMs
Hall, M. S., Alisafaei, F., Ban, E., Feng, X., Hui, C.-Y., Shenoy, V. B., & Wu, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1613058113 · Cited by 360
Cell contraction induces long-ranged stress stiffening in the extracellular matrix
Han, Y. L., Ronceray, P., Xu, G., Malandrino, A., Kamm, R. D., Lenz, M., Broedersz, C. P., & Guo, M. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1722619115 · Cited by 300
Complex mechanics of the heterogeneous extracellular matrix in cancer
Malandrino, A., Mak, M., Kamm, R. D., & Moeendarbary, E. (2018) · Extreme Mechanics Letters · doi:10.1016/j.eml.2018.02.003 · Cited by 192
Extracellular Matrix Cues Regulate Mechanosensing and Mechanotransduction of Cancer Cells
Mierke, C. T. (2024) · Cells · doi:10.3390/cells13010096 · Cited by 146
García-García, D. E., Marques, D., Amaveda, H., Mora, M., Asín, J., Villaoslada, I., Baptista, P. M., Pérez, M. A., & García-Aznar, J. M. (2026) · Cellular and Molecular Bioengineering · doi:10.1007/s12195-026-00913-1
Metadata
- Authors
- Steinwachs, J., Metzner, C., Skodzek, K., Lang, N., Thievessen, I., Mark, C., Münster, S., Aifantis, K. E., & Fabry, B.
- Venue
- Nature Methods
- Published
- 2015-12-07
- Volume
- 13
- Issue
- 2
- Pages
- 171-176
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2260168908
- Cited by
- 334
- References
- 37
- FWCI
- 11.41
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
