Eva M. Murauer

1.2k total citations
30 papers, 789 citations indexed

About

Eva M. Murauer is a scholar working on Molecular Biology, Cell Biology and Biomaterials. According to data from OpenAlex, Eva M. Murauer has authored 30 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in Cell Biology and 7 papers in Biomaterials. Recurrent topics in Eva M. Murauer's work include Skin and Cellular Biology Research (16 papers), RNA regulation and disease (13 papers) and RNA Research and Splicing (13 papers). Eva M. Murauer is often cited by papers focused on Skin and Cellular Biology Research (16 papers), RNA regulation and disease (13 papers) and RNA Research and Splicing (13 papers). Eva M. Murauer collaborates with scholars based in Austria, Germany and France. Eva M. Murauer's 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 and has published in prestigious journals such as Nucleic Acids Research, Advanced Drug Delivery Reviews and Scientific Reports.

In The Last Decade

Eva M. Murauer

29 papers receiving 766 citations

Peers

Eva M. Murauer

GENET

BIOMA

BIOTE

Ulrich Koller Austria

Laura De Rosa Italy

Verena Wally Austria

Yannick Gache France

Olga Igoucheva United States

Amber McElroy United States

Antoni Gostyński Netherlands

Mirjana Liović Slovenia

Hans‐Peter Bächinger United States

Sergio Capurro Italy

Ulrich Koller Austria

Eva M. Murauer

675 ×1.3

567 ×1.4

228 ×1.4

GENET

162 ×1.2

BIOMA

190 ×1.7

BIOTE

Citations per year, relative to Eva M. Murauer Eva M. Murauer (= 1×) peers Ulrich Koller

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-authorship network of co-authors of Eva M. Murauer

This figure shows the co-authorship network connecting the top 25 collaborators of Eva M. Murauer. A scholar is included among the top collaborators of Eva M. Murauer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva M. Murauer. Eva M. Murauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Reichel, Martin, Eva M. Murauer, M. S. Steiner, Christoph Coch, & H Trübel. (2025). Philanthropic drug development: understanding its importance, mechanisms, and future prospects. Drug Discovery Today. 30(2). 104298–104298. 2 indexed citations

Petri, Davide, Marco Fornili, Ioannis M. Stylianou, et al.. (2024). Assessing vaccine hesitancy and vaccine literacy among the European prison population and staff: A multicentre observational study. Vaccine X. 20. 100537–100537.

Bischof, Johannes, Michael Ablinger, Stefan Hainzl, et al.. (2023). COL7A1 Editing via RNA Trans-Splicing in RDEB-Derived Skin Equivalents. International Journal of Molecular Sciences. 24(5). 4341–4341. 5 indexed citations

Klicznik, Maria M., Martin Laimer, Andreas Sir, et al.. (2020). A novel humanized mouse model to study the function of human cutaneous memory T cells in vivo in human skin. Scientific Reports. 10(1). 11164–11164. 14 indexed citations

Bornert, Olivier, Pauline Nauroy, Johannes Bischof, et al.. (2020). QR-313, an Antisense Oligonucleotide, Shows Therapeutic Efficacy for Treatment of Dominant and Recessive Dystrophic Epidermolysis Bullosa: A Preclinical Study. Journal of Investigative Dermatology. 141(4). 883–893.e6. 40 indexed citations

Wimmer, Monika, Michael Ablinger, Josefina Piñón Hofbauer, et al.. (2020). A cancer stem cell-like phenotype is associated with miR-10b expression in aggressive squamous cell carcinomas. Cell Communication and Signaling. 18(1). 61–61. 22 indexed citations

Peking, Patricia, Ulrich Koller, & Eva M. Murauer. (2017). Functional therapies for cutaneous wound repair in epidermolysis bullosa. Advanced Drug Delivery Reviews. 129. 330–343. 10 indexed citations

Peking, Patricia, Ulrich Koller, Blanca Duarte, et al.. (2017). An RNA-targeted therapy for dystrophic epidermolysis bullosa. Nucleic Acids Research. 45(17). 10259–10269. 22 indexed citations

Bougé, Anne-Laure, Eva M. Murauer, Emmanuelle Beyne, et al.. (2017). Targeted RNA-Seq profiling of splicing pattern in the DMD gene: exons are mostly constitutively spliced in human skeletal muscle. Scientific Reports. 7(1). 39094–39094. 21 indexed citations

10.

Hainzl, Stefan, Patricia Peking, Thomas Köcher, et al.. (2017). COL7A1 Editing via CRISPR/Cas9 in Recessive Dystrophic Epidermolysis Bullosa. Molecular Therapy. 25(11). 2573–2584. 84 indexed citations

11.

Köcher, Thomas, Stefan Hainzl, Julia Reichelt, et al.. (2016). Construction and validation of an RNA trans-splicing molecule suitable to repair a large number of COL7A1 mutations. Gene Therapy. 23(11). 775–784. 29 indexed citations

12.

Peking, Patricia, Ulrich Koller, Stefan Hainzl, et al.. (2016). A Gene Gun-mediated Nonviral RNA trans-splicing Strategy for Col7a1 Repair. Molecular Therapy — Nucleic Acids. 5. e287–e287. 37 indexed citations

13.

Koller, Ulrich, Verena Wally, Johann Bauer, & Eva M. Murauer. (2014). Considerations for a Successful RNA Trans-splicing Repair of Genetic Disorders. Molecular Therapy — Nucleic Acids. 3. e157–e157. 23 indexed citations

14.

Guttmann‐Gruber, Christina, Ulrich Koller, Eva M. Murauer, et al.. (2013). The design and optimization of RNA trans‐splicing molecules for skin cancer therapy. Molecular Oncology. 7(6). 1056–1068. 20 indexed citations

15.

Wally, Verena, Eva M. Murauer, & Johann Bauer. (2012). Spliceosome-Mediated Trans-Splicing: The Therapeutic Cut and Paste. Journal of Investigative Dermatology. 132(8). 1959–1966. 57 indexed citations

16.

Bauer, Johann, Eva M. Murauer, Verena Wally, & Ulrich Koller. (2012). RNA Trans-Splicing for Genodermatoses. Methods in molecular biology. 961. 441–455. 20 indexed citations

17.

Guttmann‐Gruber, Christina, Iris K. Gratz, Eva M. Murauer, et al.. (2011). Spliceosome-Mediated RNA Trans -Splicing Facilitates Targeted Delivery of Suicide Genes to Cancer Cells. Molecular Cancer Therapeutics. 10(2). 233–241. 24 indexed citations

18.

Koller, Ulrich, Verena Wally, Lloyd G. Mitchell, et al.. (2011). A novel screening system improves genetic correction by internal exon replacement. Nucleic Acids Research. 39(16). e108–e108. 28 indexed citations

19.

Wally, Verena, Thomas Lettner, Martin Wagner, et al.. (2010). K14 mRNA reprogramming for dominant epidermolysis bullosa simplex. Human Molecular Genetics. 19(23). 4715–4725. 50 indexed citations

20.

Murauer, Eva M., Yannick Gache, Iris K. Gratz, et al.. (2010). Functional Correction of Type VII Collagen Expression in Dystrophic Epidermolysis Bullosa. Journal of Investigative Dermatology. 131(1). 74–83. 73 indexed citations

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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