Danielle L. Brown

16 papers and 488 indexed citations i.

About

Danielle L. Brown is a scholar working on Molecular Biology, Immunology and Applied Mathematics. According to data from OpenAlex, Danielle L. Brown has authored 16 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Applied Mathematics. Recurrent topics in Danielle L. Brown’s work include Point processes and geometric inequalities (4 papers), Immunotoxicology and immune responses (4 papers) and AI in cancer detection (3 papers). Danielle L. Brown is often cited by papers focused on Point processes and geometric inequalities (4 papers), Immunotoxicology and immune responses (4 papers) and AI in cancer detection (3 papers). Danielle L. Brown collaborates with scholars based in United States, Switzerland and Germany. Danielle L. Brown's co-authors include Indrani Sinha‐Hikim, Amiya P. Sinha Hikim, Ekaterina Kovacheva, Michael S. Ominsky, Ian Pyrah, Rogely Boyce, Mónica G. Ferrini, Néstor F. González-Cadavid, Melissa Braga and Efrain Pacheco and has published in prestigious journals such as PLoS ONE, Bone and Journal of Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Danielle L. Brown i

Fields of papers citing papers by Danielle L. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danielle L. Brown

Since Specialization
Citations

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