Carrie Ng

483 citations
15 papers · 327 · h-index 8

Impact in

    • Virus-based gene therapy research
    • Genetics and Neurodevelopmental Disorders
    • Renal Diseases and Glomerulopathies

Papers in

    • Virus-based gene therapy research 9
    • Genomic variations and chromosomal abnormalities 2
    • Animal Genetics and Reproduction 2
    • RNA Interference and Gene Delivery 7
    • Extracellular vesicles in disease 3
    • CRISPR and Genetic Engineering 2
    • RNA regulation and disease 2

Carrie Ng

14 papers receiving 322 citations

Peers

Carrie Ng
Comparison fields: 5 of 61
  • Genetics 162
  • Nephrology 29
  • Molecular Biology 244
  • Genetics 24
  • Cell Biology 36
Replace Hannah Verdin with:
Hannah Verdin Belgium
Xingjian Jin United States
Angela J. Churchill United States
Xunlun Sheng China
Ashraf M. Mohieldin United States
Paul Kuentz France
Eric H. Souied France
Maaike Vreeburg Netherlands
Herbert Reichenbach Germany
Chad Haldeman‐Englert United States
Carrie Ng relative to Hannah Verdin Belgium Hannah Verdin's profile →
Citations per field
00.5×4.8×
Hannah Verdin · 1×
Citations per year

Countries citing papers authored by Carrie Ng

Since Specialization
Citations

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

Fields of papers citing papers by Carrie Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carrie Ng. 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 Carrie Ng. The network helps show where Carrie Ng may publish in the future.

Co-authors

The 25 scholars most cited alongside Carrie Ng, 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 Carrie Ng Line = papers co-authored together Carrie Ng links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2019103
2 201157
3 201440
4 201828
5 201926
6 202124
7 202117
8 202311
9 20246
10 20096
11 20155
12 20242
13 20241
14 20081
15 20250

About Carrie Ng

Carrie Ng is a scholar working on Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology and Surgery, having authored 15 papers that have together received 327 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), RNA Interference and Gene Delivery (7 papers), Extracellular vesicles in disease (3 papers), CRISPR and Genetic Engineering (2 papers), RNA regulation and disease (2 papers), Viral Infections and Immunology Research (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Genetics (162 citations), Nephrology (29 citations), Molecular Biology (244 citations), Genetics (24 citations) and Cell Biology (36 citations). Carrie Ng has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Casey A. Maguire, Thomas F. Schilling, Yi Gong, Pierre Le Pabic, Killian S. Hanlon, Rachel E. Bennett, Eloïse Hudry, Florian Eichler, Servio H. Ramirez and Tetyana P. Buzhdygan. Their work appears in journals such as Human Gene Therapy, Molecular Therapy — Methods & Clinical Development, Fertility and Sterility, Molecular Therapy and Journal of the American Society of Nephrology.

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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