Gavi

228 papers and 3.7k indexed citations i.

About

In recent decades, authors affiliated with Gavi have published 228 papers, which have received a total of 3.7k indexed citations. Scholars at this organization have produced 137 papers in Health, 71 papers in Epidemiology and 71 papers in Infectious Diseases on the topics of Vaccine Coverage and Hesitancy (137 papers), Global Maternal and Child Health (51 papers) and COVID-19 epidemiological studies (33 papers). Their work is cited by papers focused on Health (1.7k citations), Epidemiology (1.2k citations) and Infectious Diseases (1.1k citations). Authors at Gavi collaborate with scholars in Switzerland, United States and United Kingdom and have published in prestigious journals including Nature, Science and New England Journal of Medicine. Some of Gavi's most productive authors include Seth Berkley, Mélanie Saville, Jérôme H. Kim, Jean‐Louis Excler, Hope L. Johnson, Peter M. Hansen, Aluísio J. D. Barros, Peter M. Strebel, Cesar G. Víctora and Hamidreza Setayesh.

In The Last Decade

Fields of papers published by authors at Gavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Gavi at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Gavi at the time of their publication.

Countries citing scholars working at Gavi

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Gavi. 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 papers produced at Gavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavi more than expected).

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.

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2025