Danielle E. Dye
Impact in
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
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- Cardiomyopathy and Myosin Studies
Papers in
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- Cardiomyopathy and Myosin Studies 10
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- Immune cells in cancer 4
- Co-authors
- Nigel G. Laing (13 shared papers)Deirdre R. Coombe (11 shared papers)Chee-Wai Wong (3 shared papers)Emma J. Glasson (3 shared papers)Miranda D. Grounds (5 shared papers)Alan Holland Bittles (1 shared paper)Kathryn N. North (4 shared papers)Nicole Monnier (3 shared papers)
- Journals
- Neuromuscular Disorders (5 papers)The American Journal of Human Genetics (2 papers)Annals of Neurology (2 papers)Muscle & Nerve (2 papers)Frontiers in Genetics (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Danielle E. Dye
51 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 116
- Genetics 295
- Cardiology and Cardiovascular Medicine 571
- Molecular Biology 966
- Cell Biology 176
- Cellular and Molecular Neuroscience 165
Countries citing papers authored by Danielle E. Dye
This map shows the geographic impact of Danielle E. Dye'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 E. Dye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle E. Dye more than expected).
Fields of papers citing papers by Danielle E. Dye
This network shows the impact of papers produced by Danielle E. Dye. 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 E. Dye. The network helps show where Danielle E. Dye may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle E. Dye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 191 | |
| 2 | 2004 | 176 | |
| 3 | 2012 | 154 | |
| 4 | 2008 | 132 | |
| 5 | 2004 | 131 | |
| 6 | 2013 | 80 | |
| 7 | 2015 | 77 | |
| 8 | 1999 | 66 | |
| 9 | 1999 | 48 | |
| 10 | 1997 | 47 | |
| 11 | 2018 | 46 | |
| 12 | 1997 | 45 | |
| 13 | 2018 | 45 | |
| 14 | 2016 | 44 | |
| 15 | 2005 | 44 | |
| 16 | 2020 | 41 | |
| 17 | 2006 | 39 | |
| 18 | 1997 | 38 | |
| 19 | 2019 | 37 | |
| 20 | 2006 | 31 |
About Danielle E. Dye
Danielle E. Dye is a scholar working on Cardiology and Cardiovascular Medicine, Immunology, Molecular Biology, Genetics and Cell Biology, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (13 papers), Cardiomyopathy and Myosin Studies (10 papers), Cellular Mechanics and Interactions (5 papers), Immune cells in cancer (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Cancer Cells and Metastasis (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). The work is most often cited by research in Genetics (295 citations), Cardiology and Cardiovascular Medicine (571 citations), Molecular Biology (966 citations), Cell Biology (176 citations) and Cellular and Molecular Neuroscience (165 citations). Danielle E. Dye has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Nigel G. Laing, Deirdre R. Coombe, Chee-Wai Wong, Emma J. Glasson, Miranda D. Grounds, Alan Holland Bittles, Kathryn N. North, Nicole Monnier, John C. Sparrow and Beverley F. Kinnear. Their work appears in journals such as Neuromuscular Disorders, The American Journal of Human Genetics, Annals of Neurology, Muscle & Nerve and Frontiers in Genetics.
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.