R Scheule

732 citations
8 papers · 466 indexed · h-index 6

Impact in

    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • DNA and Nucleic Acid Chemistry
    • Lipid Membrane Structure and Behavior
    • Virus-based gene therapy research

Papers in

R Scheule

8 papers receiving 433 citations

Peers

R Scheule
Comparison fields: 5 of 51
  • Molecular Biology 403
  • Genetics 151
  • Immunology 76
  • Infectious Diseases 48
  • Biotechnology 16
Replace S H Cheng with:
S H Cheng United Kingdom
Leaf Huang United States
Thierry Arnould France
Clare Meaney United Kingdom
Virginie Floch France
Guiti Thévenot France
Lucie Gagné United States
Pascale Belguise-Valladier France
Igor Fisch Switzerland
Christy A. Thomson Canada
R Scheule relative to S H Cheng United Kingdom S H Cheng's profile →
Citations per field
00.5×1.5×
S H Cheng · 1×
Citations per year

Countries citing papers authored by R Scheule

Since Specialization
Citations

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

Fields of papers citing papers by R Scheule

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 1997234
2 1999158
3 201330
4 199817
5 201013
6
Cationic lipid:pDNA complexes for the treatment of cystic fibrosis.
19998
7
SAFETY AND EXPRESSION OF A SINGLE DOSE OF LIPID-MEDIATED CFTR GENE THERAPY TO THE UPPER AND LOWER AIRWAYS OF PATIENTS WITH CF
20114
8
A PHASE 2B DOUBLE-BLIND, PLACEBO-CONTROLLED TRIAL OF NON-VIRAL MEDIATED GENE THERAPY FOR CF
20132

About R Scheule

R Scheule is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 8 papers that have together received 466 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Cystic Fibrosis Research Advances (4 papers), Neonatal Respiratory Health Research (4 papers), Respiratory viral infections research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Pharmaceutical studies and practices (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Molecular Biology (403 citations), Genetics (151 citations), Immunology (76 citations), Infectious Diseases (48 citations) and Biotechnology (16 citations). R Scheule has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Simon J. Eastman, S H Cheng, Craig Siegel, Jennifer D. Tousignant, Alan E. Smith, Shuk Han Cheng, Margaret Stedman, Nelson S. Yew, John Marshall and Malgorzata Przybylska. Their work appears in journals such as Human Gene Therapy, Pediatric Pulmonology, Biochimica et Biophysica Acta (BBA) - Biomembranes, BioTechniques and Gene Therapy.

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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