G. Daxenbichler

3.3k total citations
90 papers, 2.3k citations indexed

About

G. Daxenbichler is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, G. Daxenbichler has authored 90 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 27 papers in Genetics and 26 papers in Immunology. Recurrent topics in G. Daxenbichler's work include Estrogen and related hormone effects (24 papers), Retinoids in leukemia and cellular processes (16 papers) and Ovarian cancer diagnosis and treatment (15 papers). G. Daxenbichler is often cited by papers focused on Estrogen and related hormone effects (24 papers), Retinoids in leukemia and cellular processes (16 papers) and Ovarian cancer diagnosis and treatment (15 papers). G. Daxenbichler collaborates with scholars based in Austria, Germany and France. G. Daxenbichler's co-authors include Christian Marth, O. Dapunt, Alain G. Zeimet, Martin Widschwendter, Elisabeth Müller‐Holzner, Andreas Widschwendter, I. Mayer, Wolfgang Doppler, Jennifer Berger and Burghard Abendstein and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

G. Daxenbichler

88 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Daxenbichler Austria 28 1.1k 727 500 479 409 90 2.3k
Yoshito Terai Japan 29 1.1k 1.0× 697 1.0× 378 0.8× 183 0.4× 908 2.2× 136 2.7k
Frauke Bentzien United States 10 821 0.7× 665 0.9× 329 0.7× 106 0.2× 288 0.7× 12 2.1k
Ramin Radpour Switzerland 30 1.3k 1.2× 595 0.8× 565 1.1× 235 0.5× 120 0.3× 72 2.7k
Thomas Bogenrieder Germany 25 1.2k 1.1× 1.2k 1.6× 371 0.7× 163 0.3× 99 0.2× 63 2.6k
Björn Erikstein Norway 24 859 0.8× 1.3k 1.8× 278 0.6× 968 2.0× 79 0.2× 47 2.7k
Beihua Kong China 32 1.2k 1.1× 611 0.8× 487 1.0× 206 0.4× 1.2k 2.9× 121 3.1k
Hitoshi Niikura Japan 30 673 0.6× 553 0.8× 113 0.2× 346 0.7× 725 1.8× 97 2.5k
Hanbyoul Cho South Korea 26 1.2k 1.1× 1.1k 1.5× 504 1.0× 98 0.2× 362 0.9× 94 2.7k
Aristidis Polyzos Greece 24 718 0.6× 1.3k 1.8× 507 1.0× 113 0.2× 130 0.3× 67 2.4k
S. M. Lippman United States 20 1.8k 1.6× 892 1.2× 303 0.6× 727 1.5× 82 0.2× 48 3.2k

Countries citing papers authored by G. Daxenbichler

Since Specialization
Citations

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

Fields of papers citing papers by G. Daxenbichler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Daxenbichler

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

All Works

20 of 20 papers shown
1.
Zeimet, Alain G., Daniel Reimer, Lukas Schwentner, et al.. (2010). Urinary neopterin does not reflect the local antitumor immune milieu in ovarian cancer. Cancer Immunology Immunotherapy. 59(12). 1813–1823. 3 indexed citations
2.
Fiegl, Heidi, Allison Jones, Cornelia Hauser‐Kronberger, et al.. (2008). Methylated NEUROD1 Promoter is a Marker for Chemosensitivity in Breast Cancer. Clinical Cancer Research. 14(11). 3494–3502. 32 indexed citations
3.
Reimer, Daniel, Annemarie Wiedemair, Christian Marth, et al.. (2008). Expression of coxsackie-adenovirus receptor is related to estrogen sensitivity in breast cancer. Breast Cancer Research and Treatment. 116(1). 103–111. 13 indexed citations
4.
Widschwendter, Andreas, et al.. (2002). Prognostic significance of signal transducer and activator of transcription 1 activation in breast cancer.. PubMed. 8(10). 3065–74. 94 indexed citations
5.
Abendstein, Burghard, et al.. (2000). Predictive value of uPA, PAI-1, HER-2 and VEGF in the serum of ovarian cancer patients.. PubMed. 20(1B). 569–72. 41 indexed citations
6.
Zeimet, Alain G., Felix Offner, Martin Widschwendter, et al.. (1998). Peritoneum and Tissues of the Female Reproductive Tract as Physiological Sources of CA-125. Tumor Biology. 19(4). 275–282. 39 indexed citations
7.
Hobisch, Alfred, A Hittmair, G. Daxenbichler, et al.. (1997). Metastatic lesions from prostate cancer do not express oestrogen and progesterone receptors. The Journal of Pathology. 182(3). 356–361. 56 indexed citations
8.
Widschwendter, Martin, et al.. (1997). High serum levels of soluble CD44 variant isoform v5 are associated with favourable clinical outcome in ovarian cancer. British Journal of Cancer. 76(12). 1646–1651. 35 indexed citations
9.
Widschwendter, Martin, Juliette Berger, G. Daxenbichler, et al.. (1997). Loss of retinoic acid receptor beta expression in breast cancer and morphologically normal adjacent tissue but not in the normal breast tissue distant from the cancer.. PubMed. 57(19). 4158–61. 136 indexed citations
10.
Windbichler, Gudrun, et al.. (1996). Increased Radiosensitivity by a Combination of 9-cis-Retinoic Acid and Interferon-γ in Breast Cancer Cells. Gynecologic Oncology. 61(3). 387–394. 11 indexed citations
11.
Marth, Christian, et al.. (1995). Effects of taxol on choriocarcinoma cells. American Journal of Obstetrics and Gynecology. 173(6). 1835–1842. 11 indexed citations
12.
Marth, Christian, Thomas Lang, Marcus V. Cronauer, et al.. (1992). Epidermal growth factor reduces HER‐2 protein level in human ovarian carcinoma cells. International Journal of Cancer. 52(2). 311–316. 17 indexed citations
13.
Marth, Christian, et al.. (1991). Metabolism of E1 and E2 in Ishikawa endometrium carcinoma cells: Influence of TNFα. The Journal of Steroid Biochemistry and Molecular Biology. 39(2). 221–222. 3 indexed citations
14.
Artner‐Dworzak, Erika, et al.. (1989). Prä- und posttherapeutische Serumkonzentrationen yon MCA bei Patientinnen mit Mammakarzinomen. Gyn�kologisch-geburtshilfliche Rundschau. 29(2). 397–399. 1 indexed citations
15.
Daxenbichler, G., Ch. Marth, H. Baumgartner, et al.. (1988). Endokrinologische Untersuchungen bei Anorexia nervosa unter gesicherter Kalorienzufuhr. Gyn�kologisch-geburtshilfliche Rundschau. 28(2). 93–95.
16.
Marth, Ch., Günther Gastl, Peter Zilla, et al.. (1987). Characterization of an Interferon-Resistant Mutant of the Human Breast Cancer Cell Line BT-20. Journal of Interferon Research. 7(2). 195–202. 3 indexed citations
17.
Daxenbichler, G., et al.. (1987). Retinoic Acid- and Retinol Binding Proteins in Melanomas and Retinoblastomas. Ophthalmologica. 194(2-3). 126–127. 3 indexed citations
18.
Abendstein, Burghard, Christian Marth, & G. Daxenbichler. (1987). Evaluation of RU-27987 as a ligand to determine the progesterone receptor. Clinica Chimica Acta. 168(1). 47–54. 1 indexed citations
19.
Aulitzky, W., et al.. (1984). The circadian rhythms of serum prolactin in nurses working on a night shift. Archives of Gynecology and Obstetrics. 236(2). 73–75. 2 indexed citations
20.
Daxenbichler, G., et al.. (1983). Vitamin A Status and Retinoid-Binding Proteins in Carcinomas of the Head and Neck Region. Oncology. 40(5). 336–339. 14 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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