Eva M. Murauer

1.2k citations
30 papers · 807 · h-index 19

Impact in

Papers in

    • RNA regulation and disease 13
    • RNA Research and Splicing 12
    • RNA Interference and Gene Delivery 7
    • RNA modifications and cancer 3
    • Skin and Cellular Biology Research 16

Eva M. Murauer

29 papers receiving 784 citations

Peers

Eva M. Murauer
Comparison fields: 5 of 52
  • Cell Biology 409
  • Biotechnology 93
  • Immunology and Allergy 55
  • Biomaterials 123
  • Molecular Biology 485
Replace Ulrich Koller with:
Ulrich Koller Austria
Verena Wally Austria
Ngon T. Nguyen United States
Sergio Capurro Italy
Antoni Gostyński Netherlands
Miranda Nijenhuis Netherlands
Amber McElroy United States
Anthony P. DeFeo United States
Mirjana Liović Slovenia
Arja Lamberg Finland
Eva M. Murauer relative to Ulrich Koller Austria Ulrich Koller's profile →
Citations per field
00.5×1.5×
Ulrich Koller · 1×
Citations per year

Countries citing papers authored by Eva M. Murauer

Since Specialization
Citations

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

Fields of papers citing papers by Eva M. Murauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva M. Murauer. 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 Eva M. Murauer. The network helps show where Eva M. Murauer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201785
2 201074
3 201769
4 201259
5 201050
6 202040
7 201638
8 201630
9 201128
10 201326
11 201626
12 201124
13 201424
14 201722
15 201722
16 202022
17 201321
18 201220
19 201520
20 201517

About Eva M. Murauer

Eva M. Murauer is a scholar working on Molecular Biology, Cell Biology, Biomaterials, Genetics and Immunology and Allergy, having authored 30 papers that have together received 807 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (16 papers), RNA regulation and disease (13 papers), RNA Research and Splicing (12 papers), Silk-based biomaterials and applications (7 papers), RNA Interference and Gene Delivery (7 papers), Virus-based gene therapy research (4 papers), RNA modifications and cancer (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Cell Biology (409 citations), Biotechnology (93 citations), Immunology and Allergy (55 citations), Biomaterials (123 citations) and Molecular Biology (485 citations). Eva M. Murauer has collaborated with scholars based in Austria, Germany and France. Frequent co-authors include Johann Bauer, Ulrich Koller, Verena Wally, Stefan Hainzl, Thomas Köcher, Alfred Klausegger, Julia Reichelt, Patricia Peking, Helmut Hintner and Christina Guttmann‐Gruber. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Investigative Dermatology, Nucleic Acids Research, Molecular Therapy — Nucleic Acids 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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