Population Health Metrics

546 papers and 19.4k indexed citations i.

About

The 546 papers published in Population Health Metrics in the last decades have received a total of 19.4k indexed citations. Papers published in Population Health Metrics usually cover General Health Professions (219 papers), Health (193 papers) and Pediatrics, Perinatology and Child Health (130 papers) specifically the topics of Health disparities and outcomes (178 papers), Global Maternal and Child Health (117 papers) and Global Health Care Issues (101 papers). The most active scholars publishing in Population Health Metrics are Christopher J L Murray, Alan D López, Majid Ezzati, Lawrence Barker, Edward W. Gregg, Theodore J. Thompson, James P. Boyle, David F. Williamson, Rafael Lozano and Kyle J Foreman.

In The Last Decade

Fields of papers published in Population Health Metrics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Population Health Metrics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Population Health Metrics.

Countries where authors publish in Population Health Metrics

Since Specialization
Citations

This map shows the geographic impact of research published in Population Health Metrics. 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 published in Population Health Metrics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Population Health Metrics 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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