Danielle Cannon
Impact in
Papers in
-
- Single-cell and spatial transcriptomics 2
- Protein Structure and Dynamics 2
- Gene Regulatory Network Analysis 2
- Viral Infectious Diseases and Gene Expression in Insects 1
-
- Chronic Obstructive Pulmonary Disease (COPD) Research 2
- Co-authors
- Jonathan R. Chubb (3 shared papers)Adam Corrigan (3 shared papers)Sukanta Saha (4 shared papers)John J. McGrath (4 shared papers)Carmen Lim (4 shared papers)Edward Tunnacliffe (1 shared paper)Athene M. Donald (4 shared papers)Yan Huo (1 shared paper)
- Journals
- Depression and Anxiety (1 paper)Journal of Alzheimer s Disease (1 paper)Respiratory Care (1 paper)Schizophrenia Bulletin (1 paper)ACS Omega (1 paper)
- Partner nations
- United KingdomAustraliaDenmark
In The Last Decade
Danielle Cannon
13 papers receiving 710 citations
Peers
Comparison fields: 5 of 114
- Biological Psychiatry 16
- Applied Psychology 28
- Biophysics 34
- Molecular Biology 293
- Experimental and Cognitive Psychology 53
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 | 140 | |
| 2 | 2020 | 138 | |
| 3 | 2016 | 117 | |
| 4 | 2012 | 103 | |
| 5 | 2016 | 75 | |
| 6 | 2010 | 40 | |
| 7 | 2008 | 28 | |
| 8 | 2021 | 26 | |
| 9 | 2015 | 18 | |
| 10 | 2018 | 16 | |
| 11 | 2013 | 16 | |
| 12 | 2016 | 11 | |
| 13 | 2024 | 4 | |
| 14 | 2020 | 0 |
About Danielle Cannon
Danielle Cannon is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Food Science and Social Psychology, having authored 14 papers that have together received 732 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), Single-cell and spatial transcriptomics (2 papers), Protein Structure and Dynamics (2 papers), Gene Regulatory Network Analysis (2 papers), Proteins in Food Systems (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Biological Psychiatry (16 citations), Applied Psychology (28 citations), Biophysics (34 citations), Molecular Biology (293 citations) and Experimental and Cognitive Psychology (53 citations). Danielle Cannon has collaborated with scholars based in United Kingdom, Australia and Denmark. Frequent co-authors include Jonathan R. Chubb, Adam Corrigan, Sukanta Saha, John J. McGrath, Carmen Lim, Edward Tunnacliffe, Athene M. Donald, Yan Huo, Jing Sun and Geoffrey J. Barton. Their work appears in journals such as Depression and Anxiety, Journal of Alzheimer s Disease, Respiratory Care, Schizophrenia Bulletin and ACS Omega.
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.