Andrea K. Vaags

1.0k citations
13 papers · 253 indexed · h-index 7
    • Mesenchymal stem cell research 3
    • Genetics and Neurodevelopmental Disorders 3
    • Genomics and Rare Diseases 2
    • BRCA gene mutations in cancer 2
    • Genomic variations and chromosomal abnormalities 2
    • Virus-based gene therapy research 1
    • Mesenchymal stem cell research 3
    • Genetics and Neurodevelopmental Disorders 3
    • Genomics and Rare Diseases 2
    • BRCA gene mutations in cancer 2
    • Genomic variations and chromosomal abnormalities 2
    • Virus-based gene therapy research 1
    • CRISPR and Genetic Engineering 2
    • Acute Myeloid Leukemia Research 1

Andrea K. Vaags

13 papers receiving 237 citations

Peers

Andrea K. Vaags
Comparison fields: 5 of 48
  • Genetics 120
  • Genetics 27
  • Molecular Biology 146
  • Cognitive Neuroscience 23
  • Psychiatry and Mental health 18
Replace Veronica McInerney with:
Veronica McInerney Ireland
Eda Ütine Türkiye
Nathalie Marle France
Syed K. Rafi United States
Alisdair McNeill United Kingdom
Yukiko Kuroda Japan
Filip Roelens Belgium
Elga Fabia Belligni Italy
Angelo Selicorni Italy
Claudia Ciaccio Italy
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Citations per field
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Citations per year

Countries citing papers authored by Andrea K. Vaags

Since Specialization
Citations

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

Fields of papers citing papers by Andrea K. Vaags

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrea K. Vaags. 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 Andrea K. Vaags. The network helps show where Andrea K. Vaags may publish in the future.

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20251
2 20221
3 20229
4 20204
5 201463
6 20142
7 201437
8 20139
9 201337
10 20112
11 201021
12 200862
13
HIV TAT variants differentially influence the production of glucocerebrosidase in Sf9 cells.
20055

About Andrea K. Vaags

Andrea K. Vaags is a scholar working on Transplantation, Genetics and Hematology, having authored 13 papers that have together received 253 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Genomics and Rare Diseases (2 papers), BRCA gene mutations in cancer (2 papers), Genomic variations and chromosomal abnormalities (2 papers), CRISPR and Genetic Engineering (2 papers), Acute Myeloid Leukemia Research (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Genetics (120 citations), Genetics (27 citations) and Molecular Biology (146 citations). Andrea K. Vaags has collaborated with scholars based in Canada, France and United Kingdom. Frequent co-authors include Margaret R. Hough, Alden Chesney, Stephen W. Scherer, D.A.F. Villagómez, Christian R. Marshall, Cathy Gartley, Stephen A. Kruth, Anath C. Lionel, Dimitri J. Stavropoulos and Sébastien Chénier. Their work appears in journals such as PLoS ONE, Annals of Neurology and Stem Cells.

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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