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.
COVID-19 exacerbating inequalities in the US
2020925 citationsAaron van Dorn, Rebecca Cooney et al.The Lancetprofile →
Countries citing papers authored by Aaron van Dorn
Since Specialization
Citations
This map shows the geographic impact of Aaron van Dorn'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 Aaron van Dorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron van Dorn more than expected).
This network shows the impact of papers produced by Aaron van Dorn. 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 Aaron van Dorn. The network helps show where Aaron van Dorn may publish in the future.
Co-authorship network of co-authors of Aaron van Dorn
This figure shows the co-authorship network connecting the top 25 collaborators of Aaron van Dorn.
A scholar is included among the top collaborators of Aaron van Dorn based on the total number of citations
received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aaron van Dorn. Aaron van Dorn is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Aaron van Dorn is a scholar working on Museology, Geriatrics and Gerontology and General Health Professions, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Child and Adolescent Health (2 papers), School Health and Nursing Education (1 paper) and Urban Green Space and Health (1 paper). The work is most often cited by research in Modeling and Simulation (170 citations), Health (194 citations) and Clinical Psychology (298 citations). Frequent co-authors include Rebecca Cooney and Miriam Lewis Sabin. Their work appears in journals such as The Lancet, The Lancet Oncology and The Lancet Infectious Diseases.
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.