Daniela Unterleuthner

11 papers and 857 indexed citations i.

About

Daniela Unterleuthner is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Daniela Unterleuthner has authored 11 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Biomedical Engineering. Recurrent topics in Daniela Unterleuthner’s work include Cancer Cells and Metastasis (6 papers), 3D Printing in Biomedical Research (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Daniela Unterleuthner is often cited by papers focused on Cancer Cells and Metastasis (6 papers), 3D Printing in Biomedical Research (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Daniela Unterleuthner collaborates with scholars based in Austria, United States and Hungary. Daniela Unterleuthner's co-authors include Helmut Dolznig, Markus Hengstschläger, Nina Kramer, Christine Unger, Stefanie Walter, Mira Stadler, Georg Krupitza, Michaela Schlederer, Lukas Kenner and Karoline Pudelko and has published in prestigious journals such as Oncogene, Journal of Cell Science and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Daniela Unterleuthner i

Fields of papers citing papers by Daniela Unterleuthner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Unterleuthner

Since Specialization
Citations

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

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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