Danielle M. Miller

13 papers and 367 indexed citations i.

About

Danielle M. Miller is a scholar working on Pathology and Forensic Medicine, Dermatology and Epidemiology. According to data from OpenAlex, Danielle M. Miller has authored 13 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 3 papers in Dermatology and 2 papers in Epidemiology. Recurrent topics in Danielle M. Miller’s work include Health Sciences Research and Education (2 papers), Cancer and Skin Lesions (2 papers) and Skin Diseases and Diabetes (2 papers). Danielle M. Miller is often cited by papers focused on Health Sciences Research and Education (2 papers), Cancer and Skin Lesions (2 papers) and Skin Diseases and Diabetes (2 papers). Danielle M. Miller collaborates with scholars based in United States, Netherlands and Belgium. Danielle M. Miller's co-authors include Thomas S. Kupper, DirkJan Hijnen, Rachael A. Clark, Susan S. Huang, Carl F. Schanbacher, Ilse Mollet, George F. Murphy, Jo Lambert, Manoj Muthukuru and Vonetta L. Edwards and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Investigative Dermatology and Journal of the American Academy of Dermatology.

In The Last Decade

Co-authorship network of co-authors of Danielle M. Miller i

Fields of papers citing papers by Danielle M. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle M. Miller. 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 Danielle M. Miller. The network helps show where Danielle M. Miller may publish in the future.

Countries citing papers authored by Danielle M. Miller

Since Specialization
Citations

This map shows the geographic impact of Danielle M. Miller'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 Danielle M. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle M. Miller 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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2026