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Cited by 1,015

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Loop-mediated isothermal amplification (LAMP): a rapid, accurate, and cost-effective diagnostic method for infectious diseases

Open access
Mori, Yasuyoshi, Notomi, Tsugunori·2009·Journal of Infection and Chemotherapy

Abstract

Loop-mediated isothermal amplification (LAMP) is an established nucleic acid amplification method offering rapid, accurate, and cost-effective diagnosis of infectious diseases. This technology has been developed into commercially available detection kits for a variety of pathogens including bacteria and viruses. The current focus on LAMP methodology is as a diagnostic system to be employed in resource-limited laboratories in developing countries, where many fatal tropical diseases are endemic. The combination of LAMP and novel microfluidic technologies such as Lab-on-a-chip may facilitate the realization of genetic point-of-care testing systems to be used by both developed and developing countries in the near future. This review will describe the historical, current, and future developments of such technologies.

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Metadata

Authors
Mori, Y., & Notomi, T.
Venue
Journal of Infection and Chemotherapy
Publisher
Elsevier BV
Published
2009
Volume
15
Issue
2
Pages
62-69
ISSN
1341-321X (ISSN-L)
OpenAlex
W2057876450
Cited by
1,015
References
2
FWCI
21.16
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Loop-mediated isothermal amplification (LAMP): a rapid, accurate, and cost-effective diagnostic method for infectious diseases. https://app.cochat.ai/papers/10.1007/s10156-009-0669-9
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Mori, Y., & Notomi, T. (2009). Loop-mediated isothermal amplification (LAMP): a rapid, accurate, and cost-effective diagnostic method for infectious diseases. Journal of Infection and Chemotherapy. https://doi.org/10.1007/s10156-009-0669-9

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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.