Eva Obermayr

1.2k total citations
44 papers, 953 citations indexed

About

Eva Obermayr is a scholar working on Oncology, Cancer Research and Reproductive Medicine. According to data from OpenAlex, Eva Obermayr has authored 44 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 23 papers in Cancer Research and 14 papers in Reproductive Medicine. Recurrent topics in Eva Obermayr's work include Cancer Cells and Metastasis (16 papers), Cancer Genomics and Diagnostics (15 papers) and Ovarian cancer diagnosis and treatment (13 papers). Eva Obermayr is often cited by papers focused on Cancer Cells and Metastasis (16 papers), Cancer Genomics and Diagnostics (15 papers) and Ovarian cancer diagnosis and treatment (13 papers). Eva Obermayr collaborates with scholars based in Austria, Germany and Belgium. Eva Obermayr's co-authors include Robert Zeillinger, Jalid Sehouli, Elena Ioana Braicu, Sven� Mahner, Dan Cacsire Castillo‐Tong, Alexander Reinthaller, Dietmar Pils, Ignace Vergote, Georg Pfeiler and Maria De Santis and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Eva Obermayr

40 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Obermayr Austria 15 508 481 327 183 144 44 953
Julian A. Gingold United States 17 244 0.5× 293 0.6× 702 2.1× 258 1.4× 125 0.9× 60 1.3k
Jan Dominik Kuhlmann Germany 18 446 0.9× 486 1.0× 510 1.6× 191 1.0× 131 0.9× 62 1.1k
Marina Rigau Spain 16 168 0.3× 336 0.7× 512 1.6× 106 0.6× 196 1.4× 23 925
Claudia Felici Italy 15 357 0.7× 419 0.9× 534 1.6× 41 0.2× 125 0.9× 26 1.0k
Eva Colás Spain 21 231 0.5× 408 0.8× 624 1.9× 223 1.2× 185 1.3× 42 1.2k
Carmen Ghilardi Italy 14 243 0.5× 178 0.4× 384 1.2× 96 0.5× 55 0.4× 23 635
Masanori Kanemura Japan 18 309 0.6× 193 0.4× 415 1.3× 269 1.5× 98 0.7× 37 920
Scott A. Shell United States 10 167 0.3× 473 1.0× 748 2.3× 46 0.3× 91 0.6× 20 1.0k
Tsutomu Imai Japan 8 330 0.6× 316 0.7× 595 1.8× 117 0.6× 61 0.4× 15 900
Elise Nilsson Sweden 15 213 0.4× 290 0.6× 657 2.0× 38 0.2× 192 1.3× 19 988

Countries citing papers authored by Eva Obermayr

Since Specialization
Citations

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

Fields of papers citing papers by Eva Obermayr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Obermayr

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Obermayr. A scholar is included among the top collaborators of Eva Obermayr 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 Eva Obermayr. Eva Obermayr 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.
Obermayr, Eva, et al.. (2025). Pretherapeutic Torque Teno Virus (TTV) Counts Assessed By Liquid Biopsy As An Independent Prognostic Biomarker In Ovarian Cancer Patients. International Journal of Gynecological Cancer. 35(2). 101463–101463. 1 indexed citations
2.
Watrowski, Rafał, Eva Schuster, Stephan Polterauer, et al.. (2025). Genetic Variants of Interleukin-8 and Interleukin-16 and Their Association with Cervical Cancer Risk. Life. 15(2). 135–135.
3.
Watrowski, Rafał, Eva Schuster, Gerda Hofstetter, et al.. (2024). Association of Four Interleukin-8 Polymorphisms (−251 A>T, +781 C>T, +1633 C>T, +2767 A>T) with Ovarian Cancer Risk: Focus on Menopausal Status and Endometriosis-Related Subtypes. Biomedicines. 12(2). 321–321. 4 indexed citations
4.
Watrowski, Rafał, Eva Schuster, Toon Van Gorp, et al.. (2024). Association of the Single Nucleotide Polymorphisms rs11556218, rs4778889, rs4072111, and rs1131445 of the Interleukin-16 Gene with Ovarian Cancer. International Journal of Molecular Sciences. 25(19). 10272–10272. 2 indexed citations
5.
Obermayr, Eva, Thomas Mohr, Eva Schuster, et al.. (2024). Gene expression markers in peripheral blood and outcome in patients with platinum‐resistant ovarian cancer: A study of the European GANNET53 consortium. International Journal of Cancer. 155(6). 1128–1138. 1 indexed citations
6.
Holzer, Barbara, Eva Schuster, Michael Krainer, et al.. (2024). Multi-marker analysis of circulating tumor cells in localized intermediate/high-risk and metastatic prostate cancer. Clinical & Experimental Metastasis. 41(6). 937–945. 4 indexed citations
7.
Schuster, Eva, Michael Krainer, Maximilian Marhold, et al.. (2023). Comparison of RNA Marker Panels for Circulating Tumor Cells and Evaluation of Their Prognostic Relevance in Breast Cancer. Cancers. 15(4). 1271–1271. 7 indexed citations
8.
Watrowski, Rafał, Eva Obermayr, Christine Wallisch, et al.. (2022). Biomarker-Based Models for Preoperative Assessment of Adnexal Mass: A Multicenter Validation Study. Cancers. 14(7). 1780–1780. 10 indexed citations
9.
Panoutsopoulou, Konstantina, Tobias Dreyer, Julia Dorn, et al.. (2022). tRNA-derived small RNA 3′U-tRFValCAC promotes tumour migration and early progression in ovarian cancer. European Journal of Cancer. 180. 134–145. 12 indexed citations
10.
Schuster, Eva, Barbara Holzer, Michael Krainer, et al.. (2022). Comparison of microfluidic platforms for the enrichment of circulating tumor cells in breast cancer patients. Breast Cancer Research and Treatment. 196(1). 75–85. 6 indexed citations
11.
12.
Obermayr, Eva, Elena Ioana Braicu, Stephan Polterauer, et al.. (2021). Association of a Combined Cancer Exhaustion Score with Circulating Tumor Cells and Outcome in Ovarian Cancer—A Study of the OVCAD Consortium. Cancers. 13(23). 5865–5865. 4 indexed citations
13.
Panoutsopoulou, Konstantina, Tobias Dreyer, Julia Dorn, et al.. (2021). tRNAGlyGCC-Derived Internal Fragment (i-tRF-GlyGCC) in Ovarian Cancer Treatment Outcome and Progression. Cancers. 14(1). 24–24. 40 indexed citations
14.
Kasimir‐Bauer, Sabine, Joanna Roder, Eva Obermayr, et al.. (2020). Definition and Independent Validation of a Proteomic-Classifier in Ovarian Cancer. Cancers. 12(9). 2519–2519. 2 indexed citations
15.
16.
Aust, Stefanie, Dietmar Pils, Eva Obermayr, et al.. (2015). Skeletal Muscle Depletion and Markers for Cancer Cachexia Are Strong Prognostic Factors in Epithelial Ovarian Cancer. PLoS ONE. 10(10). e0140403–e0140403. 96 indexed citations
17.
Pils, Dietmar, Anna Bachmayr-Heyda, Katharina Auer, et al.. (2013). Cyclin E1 (CCNE1) as independent positive prognostic factor in advanced stage serous ovarian cancer patients – A study of the OVCAD consortium. European Journal of Cancer. 50(1). 99–110. 50 indexed citations
18.
Königsberg, Robert, Eva Obermayr, Giovanna Bises, et al.. (2011). Detection of EpCAM positive and negative circulating tumor cells in metastatic breast cancer patients. Acta Oncologica. 50(5). 700–710. 206 indexed citations
19.
Wozniak‐Knopp, Gordana, et al.. (2003). An ELISA for the detection of TIMP-1 based on recombinant single chain Fv fusion proteins. Clinica Chimica Acta. 335(1-2). 49–57. 3 indexed citations
20.
Wozniak‐Knopp, Gordana, et al.. (2002). Expression of TIMP-1 in Pichia pastoris. Selection of an anti-TIMP-1 specific single-chain Fv antibody from a large non-immune library. Clinica Chimica Acta. 327(1-2). 171–179. 5 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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