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Cited by 284

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Hypofibrinolytic state and high thrombin generation may play a major role in SARS‐COV2 associated thrombosis

Open access
Nougier, Christophe, Benoit, Remi, Simon, Marie, Desmurs‐Clavel, Helene, Marcotte, Guillaume, Argaud, Laurent, David, Jean Stephane, Bonnet, Aurelie, Negrier, Claude, Dargaud, Yesim·2020·Journal of Thrombosis and Haemostasis

Abstract

Thirty percent of Covid‐19 patients admitted to intensive care units present with thrombotic complications despite thromboprophylaxis. Bed rest, obesity, hypoxia, coagulopathy, and acute excessive inflammation are potential mechanisms reported by previous studies. Better understanding of the underlying mechanisms leading to thrombosis is crucial for developing more appropriate prophylaxis and treatment strategies.

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Registry

Crossref · 10.1111/jth.15016

Cites

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Metadata

Authors
Nougier, C., Benoit, R., Simon, M., Desmurs‐Clavel, H., Marcotte, G., Argaud, L., David, J. S., Bonnet, A., Negrier, C., & Dargaud, Y.
Venue
Journal of Thrombosis and Haemostasis
Publisher
Elsevier BV
Published
2020-09
Volume
18
Issue
9
Pages
2215-2219
ISSN
1538-7836 (ISSN-L)
OpenAlex
W3043483784
Cited by
284
References
16
FWCI
30.92
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Hypofibrinolytic state and high thrombin generation may play a major role in SARS‐COV2 associated thrombosis. https://app.cochat.ai/papers/10.1111/jth.15016
The paper
Nougier, C., Benoit, R., Simon, M., Desmurs‐Clavel, H., Marcotte, G., Argaud, L., David, J. S., Bonnet, A., Negrier, C., & Dargaud, Y. (2020). Hypofibrinolytic state and high thrombin generation may play a major role in SARS‐COV2 associated thrombosis. Journal of Thrombosis and Haemostasis. https://doi.org/10.1111/jth.15016

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.