Daniela Unterleuthner

1.2k total citations
11 papers, 920 citations indexed

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 920 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 Czechia. Daniela Unterleuthner's co-authors include Helmut Dolznig, Markus Hengstschläger, Nina Kramer, Christine Unger, Stefanie Walter, Mira Stadler, Georg Krupitza, Lukas Kenner, Michaela Schlederer 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

Daniela Unterleuthner

11 papers receiving 913 citations

Peers

Daniela Unterleuthner

ONCOL

IMMUN

Rafał Sądej Poland

Jihui Hao China

Mario A. Shields United States

Constantinos Alifieris Greece

Pang‐Kuo Lo United States

Zhennan Yuan China

Hans Petter Eikesdal Norway

Martin Scherzer Austria

Ina Kurth Germany

Sameer Mirza United States

Rafał Sądej Poland

Daniela Unterleuthner

339 ×0.7

ONCOL

560 ×1.3

124 ×0.5

256 ×1.2

141 ×1.1

IMMUN

Citations per year, relative to Daniela Unterleuthner Daniela Unterleuthner (= 1×) peers Rafał Sądej

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).

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.

Co-authorship network of co-authors of Daniela Unterleuthner

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Unterleuthner. A scholar is included among the top collaborators of Daniela Unterleuthner 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 Daniela Unterleuthner. Daniela Unterleuthner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Atanasova, Velina S., et al.. (2023). Selective Eradication of Colon Cancer Cells Harboring PI3K and/or MAPK Pathway Mutations in 3D Culture by Combined PI3K/AKT/mTOR Pathway and MEK Inhibition. International Journal of Molecular Sciences. 24(2). 1668–1668. 17 indexed citations

Wolf, Brigitte, Daniela Unterleuthner, Andrea Beer, et al.. (2020). Short-course radiotherapy promotes pro-inflammatory macrophages via extracellular vesicles in human rectal cancer. Journal for ImmunoTherapy of Cancer. 8(2). e000667–e000667. 41 indexed citations

Katholnig, Karl, Birgit Schütz, Stephanie Deborah Fritsch, et al.. (2019). Inactivation of mTORC2 in macrophages is a signature of colorectal cancer that promotes tumorigenesis. JCI Insight. 4(20). 18 indexed citations

Unterleuthner, Daniela, Katharina Schwarz, Lukas Janker, et al.. (2019). Cancer-associated fibroblast-derived WNT2 increases tumor angiogenesis in colon cancer. Angiogenesis. 23(2). 159–177. 220 indexed citations

Unterleuthner, Daniela, Benjamin Wolf, Jeannine S. Strobl, et al.. (2019). Irradiated cancer exosomes promote M1-like polarization of macrophages and enhance their anti-tumoral responses. European Journal of Cancer. 110. S32–S33. 2 indexed citations

Kramer, Nina, Christine Unger, Harini Nivarthi, et al.. (2017). Autocrine WNT2 signaling in fibroblasts promotes colorectal cancer progression. Oncogene. 36(39). 5460–5472. 105 indexed citations

Unger, Christine, Nina Kramer, Daniela Unterleuthner, et al.. (2017). Stromal-derived IGF2 promotes colon cancer progression via paracrine and autocrine mechanisms. Oncogene. 36(38). 5341–5355. 61 indexed citations

Unterleuthner, Daniela, et al.. (2017). An Optimized 3D Coculture Assay for Preclinical Testing of Pro- and Antiangiogenic Drugs. SLAS DISCOVERY. 22(5). 602–613. 13 indexed citations

Schlederer, Michaela, Karoline Pudelko, Mira Stadler, et al.. (2016). Comparison of cancer cells cultured in 2D vs 3D reveals differences in AKT/mTOR/S6-kinase signaling and drug response. Journal of Cell Science. 130(1). 203–218. 317 indexed citations

10.

Stadler, Mira, Stefanie Walter, Angelika Walzl, et al.. (2015). Increased complexity in carcinomas: Analyzing and modeling the interaction of human cancer cells with their microenvironment. Seminars in Cancer Biology. 35. 107–124. 52 indexed citations

11.

Walzl, Angelika, Christine Unger, Nina Kramer, et al.. (2014). The Resazurin Reduction Assay Can Distinguish Cytotoxic from Cytostatic Compounds in Spheroid Screening Assays. SLAS DISCOVERY. 19(7). 1047–1059. 74 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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