Heather L. Gray‐Edwards

2.3k citations
67 papers · 1.7k · h-index 22

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • Neurogenetic and Muscular Disorders Research
  • Physiology top 5%
    • Lysosomal Storage Disorders Research

Papers in

    • Virus-based gene therapy research 29
    • Neurogenetic and Muscular Disorders Research 9
    • Lysosomal Storage Disorders Research 28

Heather L. Gray‐Edwards

62 papers receiving 1.7k citations

Peers

Heather L. Gray‐Edwards
Comparison fields: 5 of 90
  • Genetics 225
  • Genetics 607
  • Physiology 488
  • Molecular Biology 971
  • Neurology 184
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Citations per year

Countries citing papers authored by Heather L. Gray‐Edwards

Since Specialization
Citations

This map shows the geographic impact of Heather L. Gray‐Edwards'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 Heather L. Gray‐Edwards with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather L. Gray‐Edwards more than expected).

Fields of papers citing papers by Heather L. Gray‐Edwards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather L. Gray‐Edwards. 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 Heather L. Gray‐Edwards. The network helps show where Heather L. Gray‐Edwards may publish in the future.

Co-authors

The 25 scholars most cited alongside Heather L. Gray‐Edwards, 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 Heather L. Gray‐Edwards Line = papers co-authored together Heather L. Gray‐Edwards links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019182
2 2021143
3 2016104
4 2022101
5 2015100
6 201990
7 201976
8 201374
9 201773
10 201462
11 201459
12 201550
13 201745
14 202144
15 201432
16 201931
17 202029
18 201429
19 201527
20 201625

About Heather L. Gray‐Edwards

Heather L. Gray‐Edwards is a scholar working on Genetics, Physiology, Genetics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (29 papers), Lysosomal Storage Disorders Research (28 papers), RNA Interference and Gene Delivery (11 papers), RNA regulation and disease (10 papers), Neurogenetic and Muscular Disorders Research (9 papers), Trypanosoma species research and implications (5 papers), CRISPR and Genetic Engineering (4 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Genetics (225 citations), Genetics (607 citations), Physiology (488 citations), Molecular Biology (971 citations) and Neurology (184 citations). Heather L. Gray‐Edwards has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Miguel Sena‐Esteves, Douglas R. Martin, Aime K. Johnson, Ashley N. Randle, Victoria J. McCurdy, Allison M. Bradbury, Nancy R. Cox, Brandon L. Brunson, Neil Aronin and Henry J. Baker. Their work appears in journals such as Molecular Therapy, Molecular Genetics and Metabolism, Molecular Therapy — Methods & Clinical Development, Human Gene Therapy and Nature Medicine.

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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