Gudrun Windbichler

2.0k citations
27 papers · 1.0k indexed · h-index 16

Impact in

Papers in

Gudrun Windbichler

27 papers receiving 987 citations

Peers

Gudrun Windbichler
Comparison fields: 5 of 95
  • Obstetrics and Gynecology 320
  • Reproductive Medicine 268
  • Immunology 247
  • Oncology 263
  • Cancer Research 119
Replace P.H.B. Willemse with:
P.H.B. Willemse Netherlands
Falk C. Thiel Germany
María Mercedes Binda Belgium
Naoko Sasamoto United States
Şennur İlvan Türkiye
Leslie H. Clark United States
Morikazu Miyamoto Japan
Theodotis Papageorgiou Greece
Simon Butler‐Manuel United Kingdom
Guido Menato Italy
Gudrun Windbichler relative to P.H.B. Willemse Netherlands P.H.B. Willemse's profile →
Citations per field
00.5×1.5×1.9×
P.H.B. Willemse · 1×
Citations per year

Countries citing papers authored by Gudrun Windbichler

Since Specialization
Citations

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

Fields of papers citing papers by Gudrun Windbichler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gudrun Windbichler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gudrun Windbichler Line = papers co-authored together Gudrun Windbichler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201610
2 201338
3 201041
4 200832
5 200810
6 200879
7 200758
8 200648
9 20068
10 20025
11 200196
12
Predictive value of uPA, PAI-1, HER-2 and VEGF in the serum of ovarian cancer patients.
200041
13 2000191
14 1999125
15 199919
16 199711
17 199726
18 199637
19 199611
20 19932

About Gudrun Windbichler

Gudrun Windbichler is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Cancer Research, Immunology and Hematology, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (10 papers), Endometrial and Cervical Cancer Treatments (4 papers), Immune Cell Function and Interaction (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Immunotherapy and Immune Responses (3 papers), Uterine Myomas and Treatments (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Obstetrics and Gynecology (320 citations), Reproductive Medicine (268 citations), Immunology (247 citations), Oncology (263 citations) and Cancer Research (119 citations). Gudrun Windbichler has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Christian Marth, Christian Kainz, Edgar Petru, H. Hausmaninger, Andreas Obermair, Elisabeth Müller‐Holzner, A. Graf, K. Czerwenka, G. Daxenbichler and W. Stummvoll. Their work appears in journals such as Gynecologic Oncology, International Journal of Cancer, British Journal of Cancer, International Journal of Gynecological Cancer and Obstetrical & Gynecological Survey.

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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