ReviewInfectious diseases2020
Bibliometric Analysis of Early COVID-19 Research: The Top 50 Cited Papers.
Review in Infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Long COVID Research, 2020-2024: A PubMed-Based Bibliometric Analysis.Healthcare (Basel, Switzerland) · 2025Review
- The 100 most-cited and 100 most-mentioned COVID-19-related radiological articles: a comparative bibliometric analysis.European radiology · 2024Article
- Most impactful COVID-19 articles in the field of thrombosis and hemostasis literature.Journal of thrombosis and haemostasis : JTH · 2022Article
- COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers.Sensors (Basel, Switzerland) · 2022Review
- A Bibliometric Analysis of Research Publications of the Bucharest University of Economic Studies in Time of Pandemics: Implications for Teachers' Professional Publishing Activity.International journal of environmental research and public health · 2022Article
- Contribution of Saudi Arabia to regional and global publications on COVID-19-related research: A bibliometric and visualization analysis.Journal of infection and public health · 2022Review
- Parental mental health and child anxiety during the COVID-19 pandemic in Latin America.The Journal of social issues · 2022Article
- Mapping the intersection of nanotechnology and SARS-CoV-2/COVID-19: A bibliometric analysis.Infectious medicine · 2022Article
- COVID-19 publications in anaesthesiology journals: a bibliometric analysis.British journal of anaesthesia · 2022Article
- COVID-19 Study on Scientific Articles in Health Communication: A Science Mapping Analysis in Web of Science.International journal of environmental research and public health · 2022Review
- Breaking community boundary: Comparing academic and social communication preferences regarding global pandemics.Journal of informetrics · 2021Article
- Impact of Coronavirus Outbreaks on Science and Society: Insights from Temporal Bibliometry of SARS and COVID-19.Entropy (Basel, Switzerland) · 2021Article
- The Arab region's contribution to global COVID-19 research: Bibliometric and visualization analysis.Globalization and health · 2021Article
- A Review of the Scientific Contributions of Nepal on COVID-19.Current tropical medicine reports · 2021Review
- Global research trends in COVID-19 with MRI and PET/CT: a scoping review with bibliometric and network analyses.Clinical and translational imaging · 2021Article
- COVID-19 research progress: Bibliometrics and visualization analysis.Medical journal of the Islamic Republic of Iran · 2021Article
- Mapping Trends and Hotspots Regarding Clinical Research on COVID-19: A Bibliometric Analysis of Global Research.Frontiers in public healthArticle
- Top 50 cited articles on Covid-19 after the first year of the pandemic: A bibliometric analysis.Diabetes & metabolic syndromeArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe COVID-19 pandemic is rapidly evolving with the number of cases exponentially rising. The research scientific community has reacted promptly as evidenced by an outstanding number of COVID-19 related publications. As the number of scientific publications rapidly rises, there is a need to dissect the factors that lead to highly impactful publications. To that end, the present paper summarizes the characteristics of the top 50 cited COVID-19-related publications that emerged early during the pandemic.
methodsA systematic search of the Web of Science, Scopus, and Google Scholar was performed, using keywords related to COVID-19 and SARS-CoV-19. Two independent authors reviewed all the search results, screening for the top 50 cited COVID-19-related articles. Inclusion criteria comprised any publication on COVID-19 or the SARS-CoV-2 virus. Data extracted included the type of study, journal, number of citations, number of authors, country of publication, and study content.
resultsAs of May 29th, the top 50 cited articles were cited 63849 times during the last 4 months. On average, 14 authors contributed to each publication. Over half of the identified articles were published in only 3 journals. Furthermore, 42% and 26% of the identified articles were retrospective case series and correspondence/viewpoints, respectively, while only 1 article was a randomized controlled trial. In terms of content, almost half (48%) of the identified publications reported clinical/radiological findings while only 7 out of the 50 articles investigated potential treatments.
conclusionBy highlighting the characteristics of the top 50 cited COVID-19-related articles, the authors hope to disseminate information that could assist researchers to identify the important topics, study characteristics, and gaps in the literature.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.