Prevalence of Health Misinformation on Social Media: Systematic Review

Abstract

loading...

About

This paper, published in 1950, received 687 indexed citations. Written by Víctor Suárez-Lledó and Javier Álvarez‐Gálvez covering the research area of Artificial Intelligence, Sociology and Political Science and Health. It is primarily cited by scholars working on Sociology and Political Science (361 citations), Health (300 citations) and General Health Professions (233 citations). Published in Journal of Medical Internet Research.

In The Last Decade

doi.org/10.2196/17187 →

Countries where authors are citing Prevalence of Health Misinformation on Social Media: Systematic Review

Since Specialization
Citations

This map shows the geographic impact of Prevalence of Health Misinformation on Social Media: Systematic Review. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Prevalence of Health Misinformation on Social Media: Systematic Review with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prevalence of Health Misinformation on Social Media: Systematic Review more than expected).

Fields of papers citing Prevalence of Health Misinformation on Social Media: Systematic Review

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Prevalence of Health Misinformation on Social Media: Systematic Review. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Prevalence of Health Misinformation on Social Media: Systematic Review.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.2196/17187.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026