A curated list of the highest quality* peer reviewed medical research on Covid-19, sortable by citations, impact factor and tags

Inclusion criteria: the paper in question is relevant to SARS-Cov-2-virus (a.k.a HCov-19 and SARS-2); the disease caused by this virus, COVID-19; preventing the spread of this virus and treatment of the disease. This table is compiled from over 1600 peer-reviewed articles based on the impact factor of the journal, citations, altmetrics provided by Meltwater and human review.

*Methods disclaimer: Inclusion on this list does not constitute endorsement. We provide no claims or guarantees that our search was exhaustive or that our evaluation methodology is suitable for any kind of purpose. Subjective human evaluation has gone into determining cut-off values for impact factor based on the research type and the studied population: for example, describing the clinical picture of paediatric patients may be valuable, high-quality research despite being published in a journal with an impact factor of 5. Citations are of limited use for novel research topics, and must be kept up-to-date manually, as citation counts are behind paywalls and we know of no legal public API to retrieve this data.

Links to more research: After initially conducting the search manually, our primary source for new inclusions is now the recently launched LitCovid portal maintained by the United States National Library of Medicine (NLM) at the National Institutes of Health and the collection of Covid-19 related research maintained by WHO as our source for new papers to evaluate. For those interested in this topic we would also recommend having a look at the datasets and tools published by Microsoft Academic and Semantic Scholar.

This is not medical advice. This website is not a medical device, it is not suitable for self-diagnosis. Biohackers and quantified selfers: beware, here be dragons. We discourage anyone from drawing conclusions from any single studies.

Blatant volunteer recruiting plug: This page is an offshoot of Pandemia.fi - a newsroom and information resource in Finnish. We're fighting misinformation, disinformation, clickbait, news overload and inaction. We are looking for contributors, especially those who can bring data to life with interactive visualisations. We are tracking multiple domestic and global data sources to bring a sense of the COVID-19 crisis to our readers and have a large volunteer research team to provide ideas, compile data from research and help estimate clinical parameters for models. The new web app itself will be fully open-source and it is being built using React, Rebass, and Apex Charts (Github). Other tools are welcome as well! Currently we have a small group of core contributors. If the above sounds interesting consider jumping aboard and having an impact!

Credit: Pandemia.fi translational medicine team. Editors in chief: Daniel Jyllikoski , Otto Juote and Jari Kuikanmäki.

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