Daniel F. Brown
- Physiology top 10%
- Neurology top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Genetics top 10%
- Co-authors
- Charles L. WhiteEileen H. BigioChrista L. HladikElisabeth J. RushingJerry W. ShayKazuo YashimaAdi F. GazdarLyndon J. Brown
- Topics
- Alzheimer's disease research and treatments (5 papers)Parkinson's Disease Mechanisms and Treatments (4 papers)Glioma Diagnosis and Treatment (3 papers)
- Cited by
- NeurologyParasitologyPhysiology
- Partner nations
- United StatesIrelandCanada
In The Last Decade
Daniel F. Brown
28 papers receiving 706 citations
Peers
Comparison fields: 5 of 93
- Physiology 230
- Neurology 190
- Molecular Biology 171
- Cellular and Molecular Neuroscience 98
- Genetics 89
Countries citing papers authored by Daniel F. Brown
This map shows the geographic impact of Daniel F. 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 Daniel F. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel F. Brown more than expected).
Fields of papers citing papers by Daniel F. Brown
This network shows the impact of papers produced by Daniel F. 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 Daniel F. Brown. The network helps show where Daniel F. Brown may publish in the future.
Co-authorship network of co-authors of Daniel F. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Brown. A scholar is included among the top collaborators of Daniel F. 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 Daniel F. Brown. Daniel F. 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 | 3 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 34 | |
| 5 | A human monoclonal IgG that binds aβ assemblies and diverse amyloids exhibits anti-amyloid activities in vitro and in vivo | 1 |
| 6 | 15 | |
| 7 | 7 | |
| 8 | 39 | |
| 9 | 7 | |
| 10 | 93 | |
| 11 | 13 | |
| 12 | 66 | |
| 13 | 50 | |
| 14 | 59 | |
| 15 | 1 | |
| 16 | Correlation of bcl-2, p53, and MIB-1 expression with ependymoma grade and subtype. | 45 |
| 17 | 23 | |
| 18 | 2 | |
| 19 | 82 | |
| 20 | The effects and effectiveness of gamma-hydroxybutyrate in patients with narcolepsy. | 76 |
About Daniel F. Brown
Daniel F. Brown is a scholar working on Rheumatology, Neurology and Genetics, having authored 28 papers that have together received 727 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Neurology (190 citations), Parasitology (77 citations) and Physiology (230 citations). Daniel F. Brown has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Charles L. White, Eileen H. Bigio, Christa L. Hladik, Elisabeth J. Rushing, Jerry W. Shay, Kazuo Yashima, Adi F. Gazdar, Lyndon J. Brown, Jack Hirschowitz and Richard C. Risser. Their work appears in journals such as New England Journal of Medicine, Journal of Neuroscience and Neurosurgery.
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.