Danielle Davies

690 citations
16 papers · 496 · h-index 11

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Tryptophan and brain disorders

Papers in

    • Protist diversity and phylogeny 3
    • Fungal and yeast genetics research 3
    • Alzheimer's disease research and treatments 5

Danielle Davies

16 papers receiving 489 citations

Peers

Danielle Davies
Comparison fields: 5 of 90
  • Neurology 247
  • Biological Psychiatry 50
  • Developmental Neuroscience 37
  • Physiology 197
  • Structural Biology 9
Replace Ana F. Oliveira with:
Ana F. Oliveira Brazil
Jacobine Kuijlaars Belgium
Claire King United Kingdom
Jonathan Witton United Kingdom
Anna Malishkevich Israel
Teryn Mitchell United States
Cindy Lin United States
О. Л. Власова Russia
Ryo Okada Japan
Danielle Davies relative to Ana F. Oliveira Brazil Ana F. Oliveira's profile →
Citations per field
00.5×2.6×
Ana F. Oliveira · 1×
Citations per year

Countries citing papers authored by Danielle Davies

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Danielle Davies Line = papers co-authored together Danielle Davies links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2016192
2 201971
3 201452
4 199936
5 200035
6 202022
7 201619
8 200214
9 200811
10 202310
11 202010
12 20069
13 20036
14 20225
15 20163
16 19991

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 496 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), Fungal and yeast genetics research (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Cellular transport and secretion (3 papers), Mycorrhizal Fungi and Plant Interactions (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Neurology (247 citations), Biological Psychiatry (50 citations), Developmental Neuroscience (37 citations), Physiology (197 citations) and Structural Biology (9 citations). Danielle Davies has collaborated with scholars based in Australia, United States and Czechia. Frequent co-authors include Claire Goldsbury, Thuvarahan Jegathees, A. E. Ashford, Louise Cole, Geoffrey J. Hyde, Greg T. Sutherland, Jillian J. Kril, Sandra Fok, Karen M. Cullen and Peter R. Dodd. Their work appears in journals such as Brain Pathology, Fungal Genetics and Biology, Journal of Alzheimer s Disease, Journal of Structural Biology and Chemistry of Materials.

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.

Explore authors with similar magnitude of impact