Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average within
it), or reaches the top citation threshold in at least one of its specific research topics.
This map shows the geographic impact of The Lancet'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 The Lancet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Lancet more than expected).
This network shows the impact of papers produced by The Lancet. 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 The Lancet. The network helps show where The Lancet may publish in the future.
The Lancet is a scholar working on Medical Terminology, Chemical Health and Safety and Organizational Behavior and Human Resource Management, having authored 155 papers that have together received 3.1k indexed citations. Recurring topics across this work include Global Public Health Policies and Epidemiology (13 papers), HIV/AIDS Impact and Responses (8 papers) and Child and Adolescent Health (7 papers). The work is most often cited by research in Modeling and Simulation (513 citations), Clinical Psychology (893 citations) and Infectious Diseases (698 citations). The Lancet has collaborated with scholars based in South Africa. Their work appears in journals such as The Lancet.
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.