Eva M. Murauer

1.2k citations
30 papers · 789 · h-index 19

Impact in

Papers in

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

Eva M. Murauer

29 papers receiving 766 citations

Peers

Eva M. Murauer
Comparison fields: 5 of 53
  • Cell Biology 404
  • Biotechnology 110
  • Biomaterials 131
  • Immunology and Allergy 57
  • Molecular Biology 532
Replace Ulrich Koller with:
Ulrich Koller Austria
Verena Wally Austria
Laura De Rosa Italy
Sergio Capurro Italy
Ngon T. Nguyen United States
Antoni Gostyński Netherlands
Olga Igoucheva United States
Yannick Gache France
Amber McElroy United States
Miranda Nijenhuis Netherlands
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 201784
2 201073
3 201765
4 201257
5 201050
6 202040
7 201637
8 201629
9 201128
10 201626
11 201325
12 201124
13 201423
14 201722
15 202022
16 201721
17 201320
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 789 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (16 papers), RNA Research and Splicing (13 papers), RNA regulation and disease (13 papers), RNA Interference and Gene Delivery (7 papers), Silk-based biomaterials and applications (7 papers), Virus-based gene therapy research (4 papers), Cell Adhesion Molecules Research (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cell Biology (404 citations), Biotechnology (110 citations), Biomaterials (131 citations), Immunology and Allergy (57 citations) and Molecular Biology (532 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, Scientific Reports, Molecular Therapy and Molecular Therapy — Nucleic Acids.

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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