G. Daxenbichler

3.3k citations
90 papers · 2.3k indexed · h-index 28
Topics
Estrogen and related hormone effects (24 papers)Retinoids in leukemia and cellular processes (16 papers)Ovarian cancer diagnosis and treatment (15 papers)
Partner nations
AustriaGermanyFrance

In The Last Decade

G. Daxenbichler

88 papers receiving 2.2k citations

Peers

G. Daxenbichler
Comparison fields: 5 of 94
  • Molecular Biology 1.1k
  • Oncology 727
  • Immunology 500
  • Genetics 479
  • Reproductive Medicine 409
Replace Seiichi Tamai with:
Seiichi Tamai Japan
S. M. Lippman United States
Björn Erikstein Norway
Eddie Fridman Israel
Yoshito Terai Japan
Hongling Peng China
Aristidis Polyzos Greece
Hanbyoul Cho South Korea
Thomas Bogenrieder Germany
Gloria Peiró Spain
G. Daxenbichler relative to Seiichi Tamai Japan Seiichi Tamai's profile →
Citations per field
00.5×5.9×
Seiichi Tamai · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 32
3 13
4
Prognostic significance of signal transducer and activator of transcription 1 activation in breast cancer.
94
5
Predictive value of uPA, PAI-1, HER-2 and VEGF in the serum of ovarian cancer patients.
41
6 27
7 39
8 56
9 35
10 11
11 11
12 3
13 1
14 0
15 3
16 21
17 3
18 3
19 2
20 14

About G. Daxenbichler

G. Daxenbichler is a scholar working on Reproductive Medicine, Immunology and Genetics, having authored 90 papers that have together received 2.3k indexed citations. Recurring topics across this 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). The work is most often cited by research in Reproductive Medicine (409 citations), Oncology (727 citations) and Immunology (500 citations). G. Daxenbichler has collaborated with scholars based in Austria, Germany and France. Frequent 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. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

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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