Julia Dausend

1.2k citations
8 papers · 1.0k · h-index 8

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Nanoparticle-Based Drug Delivery
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Protein Interaction Studies and Fluorescence Analysis 1
    • Fungal and yeast genetics research 1
    • Mesenchymal stem cell research 2

Julia Dausend

8 papers receiving 1.0k citations

Peers

Julia Dausend
Comparison fields: 5 of 84
  • Genetics 344
  • Biomaterials 319
  • Urology 125
  • Surfaces, Coatings and Films 56
  • Pharmaceutical Science 38
Replace Erika M. J. Siren with:
Erika M. J. Siren Canada
Ammar T. Qureshi United States
Ce Shi China
Ali H. Alhasan United States
Patrick Ginty United Kingdom
Mintai P. Hwang South Korea
Na Fu China
Jorge Almodóvar United States
Wenzhong Li China
Oommen P. Varghese Sweden
Julia Dausend relative to Erika M. J. Siren Canada Erika M. J. Siren's profile →
Citations per field
00.5×10×13.8×
Erika M. J. Siren · 1×
Citations per year

Countries citing papers authored by Julia Dausend

Since Specialization
Citations

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

Fields of papers citing papers by Julia Dausend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2008264
2 2012245
3 2012162
4 2010115
5 2012113
6 201167
7 200957
8 201620

About Julia Dausend

Julia Dausend is a scholar working on Molecular Biology, Genetics, Biomaterials, Surfaces, Coatings and Films and Organic Chemistry, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Polymer Surface Interaction Studies (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Mesenchymal stem cell research (2 papers), Microplastics and Plastic Pollution (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Protein Interaction Studies and Fluorescence Analysis (1 paper), Surfactants and Colloidal Systems (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Genetics (344 citations), Biomaterials (319 citations), Urology (125 citations), Surfaces, Coatings and Films (56 citations) and Pharmaceutical Science (38 citations). Julia Dausend has collaborated with scholars based in Germany, Hungary and France. Frequent co-authors include Volker Mailänder, Hubert Schrezenmeier, Anna Musyanovych, Katharina Landfester, Natalie Fekete, Markus Rojewski, Anita Ignatius, Martin Dass, Paul Walther and Ludwika Kreja. Their work appears in journals such as Macromolecular Bioscience, Scientific Reports, PLoS ONE, Acta Biomaterialia and Biomacromolecules.

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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