Danielle E. Dye

2.3k citations
46 papers · 1.6k indexed · h-index 24

Danielle E. Dye

45 papers receiving 1.6k citations

Peers

Danielle E. Dye
Comparison fields: 5 of 119
  • Genetics 280
  • Cardiology and Cardiovascular Medicine 517
  • Molecular Biology 952
  • Cell Biology 168
  • Immunology and Allergy 53
Replace Lawrence T. Bish with:
Lawrence T. Bish United States
Sabina Liechti‐Gallati Switzerland
William A. LaFramboise United States
Catherine Moreau France
Bernhard Kühn United States
Alexis R. Demonbreun United States
Paul Delgado-Olguı́n Canada
Zhen‐Ao Zhao China
Weiming Yu Canada
Olexandr Korchynskyi Netherlands
Danielle E. Dye relative to Lawrence T. Bish United States Lawrence T. Bish's profile →
Citations per field
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Lawrence T. Bish · 1×
Citations per year

Countries citing papers authored by Danielle E. Dye

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Danielle E. Dye Line = papers co-authored together Danielle E. Dye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202111
3 201934
4 20192
5 201842
6 201572
7 20143
8 201319
9 201327
10 2012148
11 201026
12 200914
13 2009173
14 2008102
15 200623
16 20003
17 20006
18 199955
19 199816
20 199737

About Danielle E. Dye

Danielle E. Dye is a scholar working on Cardiology and Cardiovascular Medicine, Immunology, Genetics, Genetics and Biomaterials, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (14 papers), Cardiomyopathy and Myosin Studies (9 papers), Neurogenetic and Muscular Disorders Research (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Immune cells in cancer (4 papers), Family and Disability Support Research (4 papers), Genomics and Rare Diseases (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Genetics (280 citations), Cardiology and Cardiovascular Medicine (517 citations), Molecular Biology (952 citations), Cell Biology (168 citations) and Immunology and Allergy (53 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, Steve D. Wilton, Emma J. Glasson, Miranda D. Grounds, A.H. Bittles, John C. Sparrow, Beverley F. Kinnear and Nicole Monnier. Their work appears in journals such as Neuromuscular Disorders, Muscle & Nerve, The American Journal of Human Genetics, Annals of Neurology and Scientific Reports.

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.

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