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Cited by 2,070

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Hydroxychloroquine, a less toxic derivative of chloroquine, is effective in inhibiting SARS-CoV-2 infection in vitro

Open access
Liu, Jia, Cao, Ruiyuan, Xu, Mingyue, Wang, Xi, Zhang, Huanyu, Hu, Hengrui, Li, Yufeng, Hu, Zhihong, Zhong, Wu, Wang, Manli·2020·Cell Discovery

Abstract

The outbreak of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2/2019-nCoV) poses a serious threat to global public health and local economies. As of March 3, 2020, over 80,000 cases have been confirmed in China, including 2946 deaths as well as over 10,566 confirmed cases in 72 other countries. Such huge numbers of infected and dead people call for an urgent demand of effective, available, and affordable drugs to control and diminish the epidemic.

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Registry

Crossref · 10.1038/s41421-020-0156-0

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Metadata

Authors
Liu, J., Cao, R., Xu, M., Wang, X., Zhang, H., Hu, H., Li, Y., Hu, Z., Zhong, W., & Wang, M.
Venue
Cell Discovery
Published
2020-03-18
Volume
6
Issue
1
Pages
16-16
ISSN
2056-5968 (ISSN-L)
OpenAlex
W3010673910
Cited by
2,070
References
3
FWCI
59.39
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Hydroxychloroquine, a less toxic derivative of chloroquine, is effective in inhibiting SARS-CoV-2 infection in vitro. https://app.cochat.ai/papers/10.1038/s41421-020-0156-0
The paper
Liu, J., Cao, R., Xu, M., Wang, X., Zhang, H., Hu, H., Li, Y., Hu, Z., Zhong, W., & Wang, M. (2020). Hydroxychloroquine, a less toxic derivative of chloroquine, is effective in inhibiting SARS-CoV-2 infection in vitro. Cell Discovery. https://doi.org/10.1038/s41421-020-0156-0

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.