Danielle Cannon
Impact in
- Issues, ethics and legal aspects top 10%
Papers in ⓘ
- Co-authors
- Jonathan R. Chubb (3 shared papers)Adam Corrigan (3 shared papers)John J. McGrath (4 shared papers)Carmen Lim (4 shared papers)Sukanta Saha (4 shared papers)Edward Tunnacliffe (1 shared paper)Athene M. Donald (4 shared papers)Marek Gierliński (1 shared paper)
- Journals
- Epidemiology and Psychiatric Sciences (1 paper)Schizophrenia Bulletin (1 paper)ACS Omega (1 paper)Soft Matter (1 paper)Development (1 paper)
- Partner nations
- United KingdomAustraliaDenmark
In The Last Decade
Danielle Cannon
13 papers receiving 683 citations
Peers
Comparison fields: 5 of 122
- Issues, ethics and legal aspects 11
- Applied Psychology 35
- Biological Psychiatry 16
- Experimental and Cognitive Psychology 80
- Biophysics 35
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 | 133 | |
| 2 | 2020 | 131 | |
| 3 | 2016 | 115 | |
| 4 | 2012 | 103 | |
| 5 | 2016 | 70 | |
| 6 | 2010 | 40 | |
| 7 | 2008 | 28 | |
| 8 | 2021 | 23 | |
| 9 | 2015 | 18 | |
| 10 | 2013 | 16 | |
| 11 | 2018 | 15 | |
| 12 | 2016 | 11 | |
| 13 | 2024 | 4 | |
| 14 | 2020 | 0 |
About Danielle Cannon
Danielle Cannon is a scholar working on Issues, ethics and legal aspects, Pharmaceutical Science, Experimental and Cognitive Psychology, Psychiatry and Mental health and Molecular Biology, having authored 14 papers that have together received 707 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Alzheimer's disease research and treatments (2 papers), Schizophrenia research and treatment (2 papers), Mental Health Treatment and Access (2 papers), Protein Structure and Dynamics (2 papers), Proteins in Food Systems (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Issues, ethics and legal aspects (11 citations), Applied Psychology (35 citations), Biological Psychiatry (16 citations), Experimental and Cognitive Psychology (80 citations) and Biophysics (35 citations). Danielle Cannon has collaborated with scholars based in United Kingdom, Australia and Denmark. Frequent co-authors include Jonathan R. Chubb, Adam Corrigan, John J. McGrath, Carmen Lim, Sukanta Saha, Edward Tunnacliffe, Athene M. Donald, Marek Gierliński, Geoffrey J. Barton and Tetsuya Muramoto. Their work appears in journals such as Epidemiology and Psychiatric Sciences, Schizophrenia Bulletin, ACS Omega, Soft Matter 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.