Danielle Cannon
Impact in
- Biophysics top 10%
Papers in
-
- Gene Regulatory Network Analysis 3
- Protein Structure and Dynamics 2
- RNA Research and Splicing 2
- Single-cell and spatial transcriptomics 2
- CRISPR and Genetic Engineering 1
- Co-authors
- Jonathan Robert Chubb (4 shared papers)Adam M. Corrigan (3 shared papers)Sukanta Saha (3 shared papers)John Joseph McGrath (3 shared papers)Carmen C. W. Lim (3 shared papers)Edward Tunnacliffe (1 shared paper)Athene M. Donald (4 shared papers)Yan Huo (1 shared paper)
- Journals
- Epidemiology and Psychiatric Sciences (1 paper)Faraday Discussions (1 paper)Journal of Alzheimer s Disease (1 paper)Australian & New Zealand Journal of Psychiatry (1 paper)Development (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Danielle Cannon
14 papers receiving 758 citations
Peers
Comparison fields: 5 of 122
- Biological Psychiatry 17
- Biophysics 35
- Applied Psychology 28
- Experimental and Cognitive Psychology 59
- Molecular Biology 303
Countries citing papers authored by Danielle Cannon
This map shows the geographic impact of Danielle Cannon'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 Cannon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Cannon more than expected).
Fields of papers citing papers by Danielle Cannon
This network shows the impact of papers produced by Danielle Cannon. 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 Cannon. The network helps show where Danielle Cannon may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Cannon, 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 | 2020 | 156 | |
| 2 | 2020 | 154 | |
| 3 | 2016 | 117 | |
| 4 | 2012 | 109 | |
| 5 | 2016 | 79 | |
| 6 | 2010 | 42 | |
| 7 | 2008 | 29 | |
| 8 | 2021 | 27 | |
| 9 | 2015 | 19 | |
| 10 | 2018 | 18 | |
| 11 | 2013 | 16 | |
| 12 | 2016 | 11 | |
| 13 | 2024 | 6 | |
| 14 | 2011 | 4 |
About Danielle Cannon
Danielle Cannon is a scholar working on Molecular Biology, Issues, ethics and legal aspects, Food Science, Pharmaceutical Science and Physiology, having authored 14 papers that have together received 787 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (3 papers), Protein Structure and Dynamics (2 papers), Proteins in Food Systems (2 papers), RNA Research and Splicing (2 papers), Alzheimer's disease research and treatments (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Single-cell and spatial transcriptomics (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Biological Psychiatry (17 citations), Biophysics (35 citations), Applied Psychology (28 citations), Experimental and Cognitive Psychology (59 citations) and Molecular Biology (303 citations). Danielle Cannon has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Jonathan Robert Chubb, Adam M. Corrigan, Sukanta Saha, John Joseph McGrath, Carmen C. W. Lim, Edward Tunnacliffe, Athene M. Donald, Yan Huo, Marek Gierliński and Krishna Bajee Sriram. Their work appears in journals such as Epidemiology and Psychiatric Sciences, Faraday Discussions, Journal of Alzheimer s Disease, Australian & New Zealand Journal of Psychiatry and Development.
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.