The Lancet Digital Health

479 papers and 19.9k indexed citations i.

About

The 479 papers published in The Lancet Digital Health in the last decades have received a total of 19.9k indexed citations. Papers published in The Lancet Digital Health usually cover Radiology, Nuclear Medicine and Imaging (102 papers), Health Informatics (90 papers) and Artificial Intelligence (89 papers) specifically the topics of Artificial Intelligence in Healthcare and Education (90 papers), Radiomics and Machine Learning in Medical Imaging (44 papers) and Machine Learning in Healthcare (43 papers). The most active scholars publishing in The Lancet Digital Health are Talha Burki, Becky McCall, Eric J. Topol, Geoff Watts, Marzyeh Ghassemi, Kyle Lam, Andrew L. Beam, Luke Oakden‐Rayner, The Lancet Digital Health and Alastair K. Denniston.

In The Last Decade

Fields of papers published in The Lancet Digital Health

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in The Lancet Digital Health. 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 The Lancet Digital Health.

Countries where authors publish in The Lancet Digital Health

Since Specialization
Citations

This map shows the geographic impact of research published in The Lancet Digital Health. 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 The Lancet Digital Health 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 Digital Health 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