The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Engineering a highly elastic human protein–based sealant for surgical applications
Open accessAbstract
A highly elastic and adhesive photocrosslinkable surgical sealant using a modified human protein controls liquid leakages without the need for suturing.
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Citations
Cites
Hydrogel: Preparation, characterization, and applications: A review
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Self-citationControlling the Porosity and Microarchitecture of Hydrogels for Tissue Engineering
Annabi, N., Nichol, J. W., Zhong, X., Ji, C., Koshy, S., Khademhosseini, A., & Dehghani, F. (2010) · Tissue Engineering Part B: Reviews · doi:10.1089/ten.teb.2009.0639 · Cited by 1,308
Self-citationSoft biological materials and their impact on cell function
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Moving from static to dynamic complexity in hydrogel design
Burdick, J. A., & Murphy, W. L. (2012) · Nature Communications · doi:10.1038/ncomms2271 · Cited by 561
Annabi, N., Rana, D., Shirzaei Sani, E., Portillo-Lara, R., Gifford, J. L., Fares, M. M., Mithieux, S. M., & Weiss, A. S. (2017) · Biomaterials · doi:10.1016/j.biomaterials.2017.05.011 · Cited by 542
Self-citationStructure of Human Pro-Matrix Metalloproteinase-2: Activation Mechanism Revealed
Morgunova, E., Tuuttila, A., Bergmann, U., Isupov, M., Lindqvist, Y., Schneider, G., & Tryggvason, K. (1999) · Science · doi:10.1126/science.284.5420.1667 · Cited by 540
Design Strategies and Applications of Tissue Bioadhesives
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Bouten, P. J. M., Zonjee, M., Bender, J., Yauw, S. T. K., van Goor, H., van Hest, J. C. M., & Hoogenboom, R. (2014) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2014.02.001 · Cited by 448
Surgical adhesives: Systematic review of the main types and development forecast
Duarte, A. P., Coelho, J. F., Bordado, J. C., Cidade, M. T., & Gil, M. H. (2012) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2011.12.003 · Cited by 365
Cited by
Liu, X., Liu, J., Lin, S., & Zhao, X. (2020) · Materials Today · doi:10.1016/j.mattod.2019.12.026 · Cited by 1,023
A strongly adhesive hemostatic hydrogel for the repair of arterial and heart bleeds
Hong, Y., Zhou, F., Hua, Y., Zhang, X., Ni, C., Pan, D., Zhang, Y., Jiang, D., Yang, L., Lin, Q., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10004-7 · Cited by 836
Self-citationNam, S., & Mooney, D. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00798 · Cited by 764
Cui, C., Fan, C., Wu, Y., Xiao, M., Wu, T., Zhang, D., Chen, X., Liu, B., Xu, Z., Qu, B., et al. (2019) · Advanced Materials · doi:10.1002/adma.201905761 · Cited by 542
Overcoming the translational barriers of tissue adhesives
Taboada, G. M., Yang, K., Pereira, M. J. N., Liu, S. S., Hu, Y., Karp, J. M., Artzi, N., & Lee, Y. (2020) · Nature Reviews Materials · doi:10.1038/s41578-019-0171-7 · Cited by 449
Metadata
- Authors
- Annabi, N., Zhang, Y.-N., Assmann, A., Sani, E. S., Cheng, G., Lassaletta, A. D., Vegh, A., Dehghani, B., Ruiz-Esparza, G. U., Wang, X., Gangadharan, S., Weiss, A. S., & Khademhosseini, A.
- Venue
- Science Translational Medicine
- Published
- 2017-10-04
- Volume
- 9
- Issue
- 410
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- OpenAlex
- W2763362808
- Cited by
- 367
- References
- 48
- FWCI
- 8.41
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Engineering a highly elastic human protein–based sealant for surgical applications. https://app.cochat.ai/papers/10.1126/scitranslmed.aai7466
- The paper
- Annabi, N., Zhang, Y.-N., Assmann, A., Sani, E. S., Cheng, G., Lassaletta, A. D., Vegh, A., Dehghani, B., Ruiz-Esparza, G. U., Wang, X., Gangadharan, S., Weiss, A. S., & Khademhosseini, A. (2017). Engineering a highly elastic human protein–based sealant for surgical applications. Science Translational Medicine. https://doi.org/10.1126/scitranslmed.aai7466
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.
