Danielle Dewar‐Darch
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
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- Sirtuins and Resveratrol in Medicine 6
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- Metabolism, Diabetes, and Cancer 1
- Co-authors
- Mike Tyers (2 shared papers)Ashton Breitkreutz (1 shared paper)Teresa Reguly (1 shared paper)Zhen-Yuan Lin (1 shared paper)Ricardo Almeida (1 shared paper)Guomin Liu (1 shared paper)Jeffrey R. Sharom (1 shared paper)Alexey I. Nesvizhskii (1 shared paper)
- Journals
- PLoS ONE (3 papers)The FASEB Journal (2 papers)Experimental Cell Research (1 paper)PLoS Computational Biology (1 paper)Science (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Danielle Dewar‐Darch
9 papers receiving 728 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Geriatrics and Gerontology 79
- Cell Biology 164
- Aging 17
- Molecular Biology 563
- Spectroscopy 86
Countries citing papers authored by Danielle Dewar‐Darch
This map shows the geographic impact of Danielle Dewar‐Darch'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 Dewar‐Darch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Dewar‐Darch more than expected).
Fields of papers citing papers by Danielle Dewar‐Darch
This network shows the impact of papers produced by Danielle Dewar‐Darch. 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 Dewar‐Darch. The network helps show where Danielle Dewar‐Darch may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Dewar‐Darch, 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 | A Global Protein Kinase and Phosphatase Interaction Network in Yeast Hit paper breakdown → | 2010 | 512 |
| 2 | 2013 | 65 | |
| 3 | 2015 | 54 | |
| 4 | 2011 | 51 | |
| 5 | 2007 | 31 | |
| 6 | 2013 | 11 | |
| 7 | 2017 | 6 | |
| 8 | 2014 | 2 | |
| 9 | 2018 | 1 |
About Danielle Dewar‐Darch
Danielle Dewar‐Darch is a scholar working on Geriatrics and Gerontology, Molecular Biology, Epidemiology, Physiology and Pathology and Forensic Medicine, having authored 9 papers that have together received 733 indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (6 papers), Autophagy in Disease and Therapy (4 papers), Adipose Tissue and Metabolism (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Tea Polyphenols and Effects (1 paper), Calcium signaling and nucleotide metabolism (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Geriatrics and Gerontology (79 citations), Cell Biology (164 citations), Aging (17 citations), Molecular Biology (563 citations) and Spectroscopy (86 citations). Danielle Dewar‐Darch has collaborated with scholars based in Canada and United States. Frequent co-authors include Mike Tyers, Ashton Breitkreutz, Teresa Reguly, Zhen-Yuan Lin, Ricardo Almeida, Guomin Liu, Jeffrey R. Sharom, Alexey I. Nesvizhskii, Xiaojing Tang and Anne‐Claude Gingras. Their work appears in journals such as PLoS ONE, The FASEB Journal, Experimental Cell Research, PLoS Computational Biology and Science.
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.