Danielle L. Brown
- Co-authors
- Amiya P. Sinha HikimIndrani Sinha‐HikimEkaterina KovachevaIan PyrahRogely BoyceMichael S. OminskyMelissa BragaMónica G. Ferrini
- Topics
- Immunotoxicology and immune responses (4 papers)Point processes and geometric inequalities (4 papers)AI in cancer detection (3 papers)
- Journals
- PLoS ONEBoneJournal of Endocrinology
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Danielle L. Brown
16 papers receiving 499 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 290
- Oncology 113
- Orthopedics and Sports Medicine 108
- Epidemiology 63
- Physiology 61
Countries citing papers authored by Danielle L. Brown
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).
Fields of papers citing papers by Danielle L. Brown
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.
Co-authorship network of co-authors of Danielle L. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle L. Brown. A scholar is included among the top collaborators of Danielle L. Brown 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 Danielle L. Brown. Danielle L. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 3 | |
| 4 | 38 | |
| 5 | 11 | |
| 6 | 24 | |
| 7 | 9 | |
| 8 | 37 | |
| 9 | 39 | |
| 10 | 77 | |
| 11 | 72 | |
| 12 | 46 | |
| 13 | 36 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 100 |
About Danielle L. Brown
Danielle L. Brown is a scholar working on Applied Mathematics, Biophysics and Immunology, having authored 16 papers that have together received 515 indexed citations. Recurring topics across this work include Immunotoxicology and immune responses (4 papers), Point processes and geometric inequalities (4 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (108 citations), Biophysics (35 citations) and Molecular Biology (290 citations). Danielle L. Brown has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Amiya P. Sinha Hikim, Indrani Sinha‐Hikim, Ekaterina Kovacheva, Ian Pyrah, Rogely Boyce, Michael S. Ominsky, Melissa Braga, Mónica G. Ferrini, Néstor F. González-Cadavid and J. Ignacio Aguirre. Their work appears in journals such as PLoS ONE, Bone and Journal of Endocrinology.
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.