Danielle Davies
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- Protist diversity and phylogeny 3
- Fungal and yeast genetics research 3
-
- Alzheimer's disease research and treatments 5
- Co-authors
- Claire Goldsbury (6 shared papers)Thuvarahan Jegathees (1 shared paper)A. E. Ashford (7 shared papers)Geoffrey J. Hyde (5 shared papers)Louise Cole (5 shared papers)Greg T. Sutherland (2 shared papers)Jillian J. Kril (1 shared paper)Sandra Fok (1 shared paper)
- Journals
- Brain Pathology (3 papers)Fungal Genetics and Biology (2 papers)Journal of Alzheimer s Disease (1 paper)Chemistry of Materials (1 paper)Journal of Structural Biology (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Danielle Davies
16 papers receiving 511 citations
Peers
Comparison fields: 5 of 89
- Neurology 239
- Biological Psychiatry 44
- Developmental Neuroscience 31
- Physiology 174
- Structural Biology 9
Countries citing papers authored by Danielle Davies
This map shows the geographic impact of Danielle Davies'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 Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Davies more than expected).
Fields of papers citing papers by Danielle Davies
This network shows the impact of papers produced by Danielle Davies. 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 Davies. The network helps show where Danielle Davies may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Davies, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 200 | |
| 2 | 2019 | 76 | |
| 3 | 2014 | 55 | |
| 4 | 1999 | 36 | |
| 5 | 2000 | 35 | |
| 6 | 2020 | 23 | |
| 7 | 2016 | 20 | |
| 8 | 2002 | 14 | |
| 9 | 2023 | 11 | |
| 10 | 2008 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2006 | 9 | |
| 13 | 2022 | 6 | |
| 14 | 2003 | 6 | |
| 15 | 2016 | 3 | |
| 16 | 1999 | 1 |
About Danielle Davies
Danielle Davies is a scholar working on Molecular Biology, Physiology, Neurology, Plant Science and Cell Biology, having authored 16 papers that have together received 516 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Protist diversity and phylogeny (3 papers), Cellular transport and secretion (3 papers), Fungal and yeast genetics research (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Mycorrhizal Fungi and Plant Interactions (2 papers). The work is most often cited by research in Neurology (239 citations), Biological Psychiatry (44 citations), Developmental Neuroscience (31 citations), Physiology (174 citations) and Structural Biology (9 citations). Danielle Davies has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Claire Goldsbury, Thuvarahan Jegathees, A. E. Ashford, Geoffrey J. Hyde, Louise Cole, Greg T. Sutherland, Jillian J. Kril, Sandra Fok, Claire E. Shepherd and Tasnim Rahman. Their work appears in journals such as Brain Pathology, Fungal Genetics and Biology, Journal of Alzheimer s Disease, Chemistry of Materials and Journal of Structural Biology.
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.