Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 20192020 · 13.9k citations
What are hit papers?
Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.
Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.
This map shows the geographic impact of Sam Rolfe's research. 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 Sam Rolfe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Rolfe more than expected).
This network shows the impact of papers produced by Sam Rolfe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sam Rolfe. The network helps show where Sam Rolfe may publish in the future.
Co-authors
The 4 scholars most cited alongside Sam Rolfe, linked wherever they
have co-authored with each other. Click a name or a connecting line to browse the papers
they share.
Border = papers with Sam RolfeLine = papers co-authored togetherSam Rolfe links everyone, so they are left out of the graph.
All Works
7 of 7 papers shown
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Work
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Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
Sam Rolfe is a scholar working on Health, Modeling and Simulation, Health Information Management, Demography and Epidemiology, having authored 7 papers that have together received 14.5k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (4 papers), Virology and Viral Diseases (1 paper), Insurance, Mortality, Demography, Risk Management (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), COVID-19 epidemiological studies (1 paper) and Global Health and Epidemiology (1 paper). The work is most often cited by research in Pharmacology (939 citations), Modeling and Simulation (306 citations), Biological Psychiatry (74 citations), Health, Toxicology and Mutagenesis (705 citations) and Epidemiology (1.6k citations). Sam Rolfe has collaborated with scholars based in United States, United Kingdom and Ethiopia. Frequent co-authors include Olivia D Nesbit, Nancy Fullman, Emily Haeuser and Jonathan F Mosser. Their work appears in journals such as The Lancet, Nature, Nature Medicine, Vaccines and PLoS Computational Biology.
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.