The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Bacterial Adhesion to Target Cells Enhanced by Shear Force
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Citations
Cites
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Energy landscapes of receptor–ligand bonds explored with dynamic force spectroscopy
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Steered molecular dynamics and mechanical functions of proteins
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X-ray Structure of the FimC-FimH Chaperone-Adhesin Complex from Uropathogenic Escherichia coli
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Adhesion through L-selectin requires a threshold hydrodynamic shear
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Cited by
Local force and geometry sensing regulate cell functions
Vogel, V., & Sheetz, M. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1890 · Cited by 2,328
Micro- and Nanotopography Sensitive Bacterial Attachment Mechanisms: A Review
Cheng, Y., Feng, G., & Moraru, C. I. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00191 · Cited by 367
Jain, N., Moeller, J., & Vogel, V. (2019) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-062117-121224 · Cited by 237
Grassart, A., Malardé, V., Gobaa, S., Sartori-Rupp, A., Kerns, J., Karalis, K., Marteyn, B., Sansonetti, P., & Sauvonnet, N. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.08.007 · Cited by 206
Metadata
- Authors
- Thomas, W. E., Trintchina, E., Forero, M., Vogel, V., & Sokurenko, E. V.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2002-06
- Volume
- 109
- Issue
- 7
- Pages
- 913-923
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2084677920
- Cited by
- 600
- References
- 35
- FWCI
- 4.86
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Thomas, W. E., Trintchina, E., Forero, M., Vogel, V., & Sokurenko, E. V. (2002). Bacterial Adhesion to Target Cells Enhanced by Shear Force. Cell. https://doi.org/10.1016/s0092-8674(02)00796-1
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.