How COVID unlocked the power of RNA vaccines
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The success of mRNA vaccines in the COVID-19 vaccine race emphasized the promising potential of this technology in a wide variety of future applications, including other infectious diseases, cancer therapy, and protein replacement therapies.
“The success of mRNA vaccines in the COVID-19 vaccine race emphasized the promising potential of this technology in a wide variety of future applications,176,177 including other infectious diseases,4 cancer therapy,178,179 and protein replacement therapies,180,181”
From COVID-19 mRNA vaccines: Platforms and current developments (2022) · cites this paper as [176]
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- Authors
- Dolgin, E.
- Corresponding author
- Dolgin, Elie
- Venue
- Nature
- Published
- 2021-01-12
- Volume
- 589
- Issue
- 7841
- Pages
- 189-191
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W3119596673
- Cited by
- 90
- References
- 9
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 13 · 2023: 16 · 2022: 19 · 2021: 31
- FWCI
- 6.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Keywords
- RNA vaccines, COVID-19 pandemic, vaccine development, HIV vaccine, malaria vaccine, influenza vaccination, mRNA technology
- MeSH terms
- RNAi Therapeutics, Vaccinology, COVID-19, SARS-CoV-2, COVID-19 Vaccines, mRNA Vaccines, Animals, Germany, Humans, Immunization Schedule, Influenza, Human, Malaria, Time Factors, Tuberculosis, United States, Vaccines, Synthetic, HIV Infections, Device Approval, Mice, Rats, Nanoparticles
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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