Daniela Proske

731 citations
6 papers · 575 · h-index 5

Impact in

    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • Prion Diseases and Protein Misfolding
    • RNA and protein synthesis mechanisms
    • DNA and Nucleic Acid Chemistry

Papers in

    • Prion Diseases and Protein Misfolding 2
    • Advanced biosensing and bioanalysis techniques 2
    • Receptor Mechanisms and Signaling 1
    • RNA regulation and disease 1

Daniela Proske

5 papers receiving 553 citations

Peers

Daniela Proske
Comparison fields: 5 of 58
  • Molecular Biology 525
  • Neurology 46
  • Nutrition and Dietetics 79
  • Virology 12
  • Biomedical Engineering 111
Replace Gregor Ilc with:
Gregor Ilc Slovenia
Andrey Romanyuk United States
Yu Chuan Huang Canada
Kaori Tsukakoshi Japan
Karen J. Knaus United States
Raphaël Boisgard France
María Tintoré Spain
Katsuyuki Murase United States
Y. K. Suen Hong Kong
Qianqian Lü China
Daniela Proske relative to Gregor Ilc Slovenia Gregor Ilc's profile →
Citations per field
00.5×6.5×
Gregor Ilc · 1×
Citations per year

Countries citing papers authored by Daniela Proske

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Proske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Daniela Proske, 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 Daniela Proske Line = papers co-authored together Daniela Proske links everyone, so they are left out of the graph.

All Works

About Daniela Proske

Daniela Proske is a scholar working on Molecular Biology, Neurology, Virology, Clinical Biochemistry and Rheumatology, having authored 6 papers that have together received 575 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Folate and B Vitamins Research (1 paper), Trace Elements in Health (1 paper), Receptor Mechanisms and Signaling (1 paper), Metabolism and Genetic Disorders (1 paper), Biochemical Acid Research Studies (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Molecular Biology (525 citations), Neurology (46 citations), Nutrition and Dietetics (79 citations), Virology (12 citations) and Biomedical Engineering (111 citations). Daniela Proske has collaborated with scholars based in Germany, Switzerland and Lithuania. Frequent co-authors include Michael Famulok, Ansgar Resch, Michael Blank, Raymund Buhmann, E.‐L. Winnacker, Martin H. Groschup, H. A. Kretzschmar, Manuela Neumann, Sabine Gilch and Hermann Schätzl. Their work appears in journals such as Journal of Biological Chemistry, ChemBioChem, Journal of Virology, Applied Microbiology and Biotechnology and NanoEthics.

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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