Safety and Efficacy of NVX-CoV2373 Covid-19 Vaccine
Impact in
- Health 139
Classified as
- Authors
- Paul T. Heath
- Journal
- UCL Discovery (University College London)
In The Last Decade
doi.org/w71114962 →Countries where authors are citing Safety and Efficacy of NVX-CoV2373 Covid-19 Vaccine
This map shows the geographic impact of Safety and Efficacy of NVX-CoV2373 Covid-19 Vaccine. 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 Safety and Efficacy of NVX-CoV2373 Covid-19 Vaccine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Safety and Efficacy of NVX-CoV2373 Covid-19 Vaccine more than expected).
Fields of papers citing Safety and Efficacy of NVX-CoV2373 Covid-19 Vaccine
This network shows the impact of Safety and Efficacy of NVX-CoV2373 Covid-19 Vaccine. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Safety and Efficacy of NVX-CoV2373 Covid-19 Vaccine.
About Safety and Efficacy of NVX-CoV2373 Covid-19 Vaccine
This paper, published in 2021, received 499 indexed citations . Written by Paul T. Heath covering the research area of Ophthalmology and Infectious Diseases. It is primarily cited by scholars working on Infectious Diseases (445 citations), Health (139 citations), Immunology (88 citations), Molecular Biology (82 citations) and Animal Science and Zoology (57 citations). Published in UCL Discovery (University College London).
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/w71114962.