Daniela Fux

472 total citations
11 papers, 170 citations indexed

About

Daniela Fux is a scholar working on Molecular Biology, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniela Fux has authored 11 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Psychiatry and Mental health and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniela Fux's work include Neuropeptides and Animal Physiology (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Angiogenesis and VEGF in Cancer (2 papers). Daniela Fux is often cited by papers focused on Neuropeptides and Animal Physiology (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Angiogenesis and VEGF in Cancer (2 papers). Daniela Fux collaborates with scholars based in Austria, Germany and United States. Daniela Fux's co-authors include Andrea Hoelbl‐Kovacic, Veronika Sexl, Richard Moriggl, Fritz Aberger, Heidi A. Neubauer, Michaela Prchal‐Murphy, Karoline Kollmann, Ruth Scheicher, Marieke von Lindern and Joana Neves and has published in prestigious journals such as PLoS ONE, Journal of Pharmacology and Experimental Therapeutics and Cell Death and Disease.

In The Last Decade

Daniela Fux

10 papers receiving 168 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Fux Austria 8 58 43 39 30 24 11 170
Shienny Sampurno Australia 9 82 1.4× 25 0.6× 74 1.9× 25 0.8× 34 1.4× 18 206
Haley C. Cropper United States 7 39 0.7× 18 0.4× 20 0.5× 21 0.7× 10 0.4× 12 145
Mingchao Wang China 6 73 1.3× 45 1.0× 42 1.1× 33 1.1× 26 1.1× 13 178
Xiangqing Sun United States 9 85 1.5× 18 0.4× 33 0.8× 12 0.4× 38 1.6× 23 256
Marisa K. Kilgour Canada 8 63 1.1× 53 1.2× 118 3.0× 16 0.5× 12 0.5× 9 268
Anthony Restaino United States 8 28 0.5× 39 0.9× 24 0.6× 22 0.7× 14 0.6× 22 176
Frances Elmslie United Kingdom 10 117 2.0× 30 0.7× 14 0.4× 67 2.2× 22 0.9× 16 291
Haktan Bağış Erdem Türkiye 9 68 1.2× 14 0.3× 14 0.4× 17 0.6× 15 0.6× 34 161
Nobuyoshi Iinuma Japan 8 126 2.2× 43 1.0× 59 1.5× 124 4.1× 14 0.6× 11 287
Michael Nissen Australia 5 31 0.5× 59 1.4× 53 1.4× 23 0.8× 10 0.4× 8 157

Countries citing papers authored by Daniela Fux

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Fux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Fux

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

All Works

11 of 11 papers shown
1.
Fux, Daniela, et al.. (2023). A retrospective evaluation of phenobarbital‐induced hematologic changes in 69 cats. Veterinary Clinical Pathology. 52(4). 601–606.
2.
Fux, Daniela, et al.. (2022). Pharmacokinetics of metamizole (dipyrone) as an add-on in calves undergoing umbilical surgery. PLoS ONE. 17(3). e0265305–e0265305. 6 indexed citations
3.
Neubauer, Heidi A., et al.. (2021). Opioids drive breast cancer metastasis through the δ-opioid receptor and oncogenic STAT3. Neoplasia. 23(2). 270–279. 29 indexed citations
4.
Gotthardt, Dagmar, Klara R. Klein, Reinhard Grausenburger, et al.. (2021). Triple-negative breast cancer cells rely on kinase-independent functions of CDK8 to evade NK-cell-mediated tumor surveillance. Cell Death and Disease. 12(11). 991–991. 14 indexed citations
6.
Url, Angelika, et al.. (2019). In vitro study to assess the efficacy of CDK4/6 inhibitor Palbociclib (PD‐0332991) for treating canine mammary tumours. Veterinary and Comparative Oncology. 17(4). 507–521. 10 indexed citations
7.
Fux, Daniela, et al.. (2019). Activation of HIF-1α by δ-Opioid Receptors Induces COX-2 Expression in Breast Cancer Cells and Leads to Paracrine Activation of Vascular Endothelial Cells. Journal of Pharmacology and Experimental Therapeutics. 370(3). 480–489. 18 indexed citations
8.
Fux, Daniela, et al.. (2018). The course of plasma cortisol concentration after three different doses of ketamine in xylazine-premedicated calves. Veterinary Anaesthesia and Analgesia. 46(3). 335–343. 3 indexed citations
9.
Uras, Iris Z., Ruth Scheicher, Karoline Kollmann, et al.. (2017). Cdk6 contributes to cytoskeletal stability in erythroid cells. Haematologica. 102(6). 995–1005. 23 indexed citations
10.
Hoelbl‐Kovacic, Andrea, et al.. (2017). Opioids: Modulators of angiogenesis in wound healing and cancer. Oncotarget. 8(15). 25783–25796. 43 indexed citations
11.
Putz, Eva Maria, Andrea Majoros, Dagmar Gotthardt, et al.. (2016). Novel non-canonical role of STAT1 in Natural Killer cell cytotoxicity. OncoImmunology. 5(9). e1186314–e1186314. 15 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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