Julia Rädler

426 citations
4 papers · 248 · 1 hit paper · h-index 4

Impact in

    • MicroRNA in disease regulation
    • Extracellular vesicles in disease
    • RNA Interference and Gene Delivery
    • CRISPR and Genetic Engineering
    • Circular RNAs in diseases
    • Advanced biosensing and bioanalysis techniques

Papers in

    • Extracellular vesicles in disease 3
    • RNA Interference and Gene Delivery 3
    • Advanced biosensing and bioanalysis techniques 1
    • CRISPR and Genetic Engineering 1
    • Cell Adhesion Molecules Research 2

Julia Rädler

4 papers receiving 247 citations

Julia Rädler's Hit Papers

Exploiting the biogenesis of extracellular vesicles for bioengineering and therapeutic cargo loading 2023 · 162 citations
1620+1+2Years since publication50100150

Peers

Julia Rädler
Comparison fields: 5 of 49
  • Cancer Research 106
  • Molecular Biology 237
  • Immunology 30
  • Immunology and Allergy 7
  • Microbiology 5
Replace Shadi Mahjoum with:
Shadi Mahjoum United States
Giulia Marostica Italy
Arash Latifkar United States
Christopher R. Luthers United States
Run Gong China
Feihu Hu China
Xiuming Liang Sweden
Jiayang Yan China
Andrew D. Foers Australia
Siobhan Simpson United Kingdom
Julia Rädler relative to Shadi Mahjoum United States Shadi Mahjoum's profile →
Citations per field
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Shadi Mahjoum · 1×
Citations per year

Countries citing papers authored by Julia Rädler

Since Specialization
Citations

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

Fields of papers citing papers by Julia Rädler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Julia Rädler, 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 Julia Rädler Line = papers co-authored together Julia Rädler links everyone, so they are left out of the graph.

All Works

About Julia Rädler

Julia Rädler is a scholar working on Molecular Biology, Immunology and Allergy, Neurology, Cancer Research and Infectious Diseases, having authored 4 papers that have together received 248 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (3 papers), RNA Interference and Gene Delivery (3 papers), Cell Adhesion Molecules Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Cancer Research (106 citations), Molecular Biology (237 citations), Immunology (30 citations), Immunology and Allergy (7 citations) and Microbiology (5 citations). Julia Rädler has collaborated with scholars based in Sweden, Estonia and Germany. Frequent co-authors include Samir EL Andaloussi, Dhanu Gupta, Antje M. Zickler, Samantha Roudi, Taavi Lehto, Joel Z. Nordin, Mattias Hällbrink, Oskar Gustafsson, Tõnis Lehto and Doste R. Mamand. Their work appears in journals such as Molecular Therapy, Pharmaceutics, Handbook of clinical neurology and Nature Communications.

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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