Guenter Daxenbichler

584 total citations
9 papers, 446 citations indexed

About

Guenter Daxenbichler is a scholar working on Molecular Biology, Genetics and Reproductive Medicine. According to data from OpenAlex, Guenter Daxenbichler has authored 9 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Reproductive Medicine. Recurrent topics in Guenter Daxenbichler's work include Estrogen and related hormone effects (2 papers), Epigenetics and DNA Methylation (2 papers) and Antioxidant Activity and Oxidative Stress (1 paper). Guenter Daxenbichler is often cited by papers focused on Estrogen and related hormone effects (2 papers), Epigenetics and DNA Methylation (2 papers) and Antioxidant Activity and Oxidative Stress (1 paper). Guenter Daxenbichler collaborates with scholars based in Austria, Germany and United States. Guenter Daxenbichler's co-authors include Christian Marth, Vicente Valero, Florentia Peintinger, Christine Desmedt, Thomas Bauernhofer, Suzette Delaloge, Peter Regitnig, Gabriel N. Hortobágyi, Christos Sotiriou and Daniel J. Booser and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Guenter Daxenbichler

9 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guenter Daxenbichler Austria	7	261	211	152	53	49	9	446
Dan Chan United States	6	250 1.0×	287 1.4×	84 0.6×	24 0.5×	194 4.0×	13	532
Rempei Yanagawa Japan	7	328 1.3×	180 0.9×	90 0.6×	23 0.4×	45 0.9×	8	537
Boriana Zaharieva Bulgaria	9	301 1.2×	231 1.1×	165 1.1×	104 2.0×	75 1.5×	21	575
Christina Finlayson United States	13	153 0.6×	288 1.4×	303 2.0×	121 2.3×	89 1.8×	29	634
Laxmi Silwal‐Pandit Norway	13	404 1.5×	420 2.0×	367 2.4×	77 1.5×	175 3.6×	21	800
Eniko Papp United States	5	229 0.9×	144 0.7×	255 1.7×	116 2.2×	60 1.2×	11	479
Marta Lomnytska Sweden	14	352 1.3×	120 0.6×	126 0.8×	28 0.5×	69 1.4×	21	579
Shinji Oie Japan	12	315 1.2×	140 0.7×	88 0.6×	32 0.6×	39 0.8×	22	515
Katharina Malinowsky Germany	17	389 1.5×	149 0.7×	177 1.2×	12 0.2×	73 1.5×	27	660
Mike Gruidl United States	12	449 1.7×	328 1.6×	254 1.7×	49 0.9×	131 2.7×	13	761

Countries citing papers authored by Guenter Daxenbichler

Since Specialization

Citations

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

Fields of papers citing papers by Guenter Daxenbichler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guenter Daxenbichler

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

All Works

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9 of 9 papers shown

Seeber, Beata, Theresa Czech, Hannes Buchner, et al.. (2010). The vitamin E–binding protein afamin is altered significantly in the peritoneal fluid of women with endometriosis. Fertility and Sterility. 94(7). 2923–2926. 27 indexed citations

Symmans, W. Fraser, Christos Hatzis, Christos Sotiriou, et al.. (2010). Genomic Index of Sensitivity to Endocrine Therapy for Breast Cancer. Journal of Clinical Oncology. 28(27). 4111–4119. 192 indexed citations

Hubalek, Michael, et al.. (2008). The growth-promoting action of individual women's sera on mammary carcinoma cells.. PubMed. 28(4B). 2213–7. 1 indexed citations

Jackson, David, Rachel A. Craven, Richard Hutson, et al.. (2007). Proteomic Profiling Identifies Afamin as a Potential Biomarker for Ovarian Cancer. Clinical Cancer Research. 13(24). 7370–7379. 82 indexed citations

Berger, Jennifer, Elisabeth Mueller‐Holzner, Heidi Fiegl, Christian Marth, & Guenter Daxenbichler. (2006). Evaluation of three mRNA markers for the detection of lymph node metastases.. PubMed. 26(5B). 3855–60. 7 indexed citations

Concin, Nicole, K Becker, Neda Slade, et al.. (2004). Transdominant ΔTAp73 Isoforms Are Frequently Up-regulated in Ovarian Cancer. Evidence for Their Role as Epigenetic p53 Inhibitors in Vivo . Cancer Research. 64(7). 2449–2460. 115 indexed citations

Concin, Nicole, Lukas Hefler, Jeroen van Bavel, et al.. (2003). Biological markers in pT1 and pT2 ovarian cancer with lymph node metastases. Gynecologic Oncology. 89(1). 9–15. 8 indexed citations

Huber, Christian G., et al.. (2003). Quantitation of Gene Expression by RT-PCR and HPLC Analysis of PCR Products. Humana Press eBooks. 193. 103–116. 2 indexed citations

Fuith, Lothar C. & Guenter Daxenbichler. (1988). Squamous Cell Carcinoma Antigen in Patients with Cancer of the Uterine Cervix. Gynecologic and Obstetric Investigation. 26(1). 77–82. 12 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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