Sandra A. Sciascia

610 citations
8 papers · 494 · h-index 5

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • RNA Interference and Gene Delivery
    • CRISPR and Genetic Engineering
    • Viral Infectious Diseases and Gene Expression in Insects
    • Advanced biosensing and bioanalysis techniques

Papers in

    • RNA Interference and Gene Delivery 4
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • RNA Research and Splicing 1
    • Virus-based gene therapy research 6
    • Animal Genetics and Reproduction 1

Sandra A. Sciascia

8 papers receiving 480 citations

Peers

Sandra A. Sciascia
Comparison fields: 5 of 73
  • Genetics 300
  • Molecular Biology 353
  • Oncology 75
  • Cellular and Molecular Neuroscience 43
  • Aging 3
Replace Shyam Goverdhana with:
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Nancy Larochelle Canada
Mahesh de Alwis United Kingdom
Amy E. Parker United States
Fédor Svinartchouk France
Bettina Burger Switzerland
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Sandra A. Sciascia relative to Shyam Goverdhana United States Shyam Goverdhana's profile →
Citations per field
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Shyam Goverdhana · 1×
Citations per year

Countries citing papers authored by Sandra A. Sciascia

Since Specialization
Citations

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

Fields of papers citing papers by Sandra A. Sciascia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra A. Sciascia. 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 Sandra A. Sciascia. The network helps show where Sandra A. Sciascia may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2005236
2 2005135
3 200571
4 200637
5 20056
6 20044
7 20073
8 20082

About Sandra A. Sciascia

Sandra A. Sciascia is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Immunology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 494 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), RNA Interference and Gene Delivery (4 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA Research and Splicing (1 paper), Viral Infections and Immunology Research (1 paper), Galectins and Cancer Biology (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Genetics (300 citations), Molecular Biology (353 citations), Oncology (75 citations), Cellular and Molecular Neuroscience (43 citations) and Aging (3 citations). Sandra A. Sciascia has collaborated with scholars based in United States, Italy and Argentina. Frequent co-authors include María G. Castro, Pedro R. Löwenstein, Carlos Barcia, James F. Curtin, Weidong Xiong, Marianela Candolfi, Gwendalyn D. King, Shyam Goverdhana, Mariana Puntel and Sonali Mondkar. Their work appears in journals such as Journal of Virology, Human Gene Therapy, Molecular Therapy, Current Gene Therapy and Autoimmunity.

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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