R Scheule

735 citations
10 papers · 638 · h-index 8

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • DNA and Nucleic Acid Chemistry

Papers in

R Scheule

10 papers receiving 577 citations

Peers

R Scheule
Comparison fields: 5 of 52
  • Genetics 210
  • Molecular Biology 485
  • Pulmonary and Respiratory Medicine 124
  • Immunology 76
  • Infectious Diseases 62
Replace Anna E. Lawton with:
Anna E. Lawton United Kingdom
Jennifer D. Tousignant United States
Guiti Thévenot France
S H Cheng United Kingdom
Sang M. Lee United States
Nafiseh Nafissi Canada
Leaf Huang United States
Michaela Jeong South Korea
Shiqun Wang China
R Scheule relative to Anna E. Lawton United Kingdom Anna E. Lawton's profile →
Citations per field
00.5×1.5×
Anna E. Lawton · 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

10 of 10 papers shown
#Work
1 1997251
2 1999175
3 201180
4 200748
5 201336
6 199819
7 201014
8
Cationic lipid:pDNA complexes for the treatment of cystic fibrosis.
19998
9
SAFETY AND EXPRESSION OF A SINGLE DOSE OF LIPID-MEDIATED CFTR GENE THERAPY TO THE UPPER AND LOWER AIRWAYS OF PATIENTS WITH CF
20115
10
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 Pulmonary and Respiratory Medicine, Molecular Biology, Infectious Diseases, Genetics and Epidemiology, having authored 10 papers that have together received 638 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Neonatal Respiratory Health Research (5 papers), Cystic Fibrosis Research Advances (4 papers), Viral gastroenteritis research and epidemiology (2 papers), Respiratory viral infections research (2 papers), Virus-based gene therapy research (2 papers), Autism Spectrum Disorder Research (1 paper) and Pharmaceutical studies and practices (1 paper). The work is most often cited by research in Genetics (210 citations), Molecular Biology (485 citations), Pulmonary and Respiratory Medicine (124 citations), Immunology (76 citations) and Infectious Diseases (62 citations). R Scheule has collaborated with scholars based in United Kingdom. Frequent co-authors include Simon J. Eastman, Alan Edward Smith, Craig Siegel, S H Cheng, Jennifer D. Tousignant, Rebecca G. Bagley, Nelson S. Yew, John Marshall, Margaret R. Stedman and Malgorzata Przybylska. Their work appears in journals such as Gene Therapy, Pediatric Pulmonology, Advanced Drug Delivery Reviews, BioTechniques and Molecular 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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