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Cited by 300

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Hemostatic strategies for traumatic and surgical bleeding

Open access
Behrens, Adam M., Sikorski, Michael J., Kofinas, Peter·2014·Journal of Biomedical Materials Research Part A

Abstract

Wide interest in new hemostatic approaches has stemmed from unmet needs in the hospital and on the battlefield. Many current commercial hemostatic agents fail to fulfill the design requirements of safety, efficacy, cost, and storage. Academic focus has led to the improvement of existing strategies as well as new developments. This review will identify and discuss the three major classes of hemostatic approaches: biologically derived materials, synthetically derived materials, and intravenously administered hemostatic agents. The general class is first discussed, then specific approaches discussed in detail, including the hemostatic mechanisms and the advancement of the method. As hemostatic strategies evolve and synthetic-biologic interactions are more fully understood, current clinical methodologies will be replaced.

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Registry

Crossref · 10.1002/jbm.a.35052

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Metadata

Authors
Behrens, A. M., Sikorski, M. J., & Kofinas, P.
Venue
Journal of Biomedical Materials Research Part A
Publisher
Wiley
Published
2013-12-12
Volume
102
Issue
11
Pages
4182-4194
ISSN
1549-3296 (ISSN-L)
OpenAlex
W1573351815
Cited by
300
References
4
FWCI
1.71
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Hemostatic strategies for traumatic and surgical bleeding. https://app.cochat.ai/papers/10.1002/jbm.a.35052
The paper
Behrens, A. M., Sikorski, M. J., & Kofinas, P. (2014). Hemostatic strategies for traumatic and surgical bleeding. Journal of Biomedical Materials Research Part A. https://doi.org/10.1002/jbm.a.35052

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.