Eva Bozsaky

478 total citations
18 papers, 292 citations indexed

About

Eva Bozsaky is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Otorhinolaryngology. According to data from OpenAlex, Eva Bozsaky has authored 18 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Molecular Biology and 4 papers in Otorhinolaryngology. Recurrent topics in Eva Bozsaky's work include Genomic variations and chromosomal abnormalities (4 papers), Oral health in cancer treatment (4 papers) and Head and Neck Cancer Studies (4 papers). Eva Bozsaky is often cited by papers focused on Genomic variations and chromosomal abnormalities (4 papers), Oral health in cancer treatment (4 papers) and Head and Neck Cancer Studies (4 papers). Eva Bozsaky collaborates with scholars based in Austria, United States and Germany. Eva Bozsaky's co-authors include Wolfgang Dörr, Peter F. Ambros, Sabine Taschner‐Mandl, Inge M. Ambros, Lukas Fischer, Florian Kromp, Klaus Beiske, Allan Hanbury, Sylvia Gruber and Peter Kuess and has published in prestigious journals such as Nature Communications, American Journal Of Pathology and IEEE Transactions on Medical Imaging.

In The Last Decade

Eva Bozsaky

17 papers receiving 290 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 Bozsaky Austria 10 81 80 49 48 47 18 292
Wiebke Laffers Germany 11 138 1.7× 49 0.6× 175 3.6× 106 2.2× 8 0.2× 25 389
Ioannis Roxanis United Kingdom 12 142 1.8× 20 0.3× 18 0.4× 48 1.0× 131 2.8× 17 443
Kevin Boehm United States 5 135 1.7× 67 0.8× 21 0.4× 164 3.4× 10 0.2× 8 433
Shumpei Ishikawa Japan 7 129 1.6× 37 0.5× 13 0.3× 62 1.3× 17 0.4× 23 289
Frank J. Brooks United States 8 32 0.4× 70 0.9× 15 0.3× 230 4.8× 10 0.2× 22 337
Adrian Levine Canada 7 53 0.7× 34 0.4× 15 0.3× 105 2.2× 31 0.7× 25 287
Sara Albasini Italy 12 84 1.0× 18 0.2× 41 0.8× 36 0.8× 24 0.5× 23 309
Jiamei Chen China 13 94 1.2× 88 1.1× 14 0.3× 66 1.4× 8 0.2× 25 350
Paula Toro United States 8 23 0.3× 56 0.7× 19 0.4× 125 2.6× 3 0.1× 27 239
Birgitte Nielsen Norway 12 58 0.7× 49 0.6× 32 0.7× 108 2.3× 15 0.3× 22 346

Countries citing papers authored by Eva Bozsaky

Since Specialization
Citations

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

Fields of papers citing papers by Eva Bozsaky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Bozsaky

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

All Works

18 of 18 papers shown
1.
Bozsaky, Eva, Lieke M. J. van Zogchel, Fikret Rifatbegovic, et al.. (2025). Sensitive detection of minimal residual disease and immunotherapy targets by multi-modal bone marrow analysis in high-risk neuroblastoma – a multi-center study. Journal of Experimental & Clinical Cancer Research. 44(1). 224–224.
2.
Kirchberger, Stefanie, Andrea Wenninger-Weinzierl, Lisa E. Shaw, et al.. (2024). Comparative transcriptomics coupled to developmental grading via transgenic zebrafish reporter strains identifies conserved features in neutrophil maturation. Nature Communications. 15(1). 1792–1792. 11 indexed citations
3.
Bozsaky, Eva, Julian Vosseberg, Sabine Taschner‐Mandl, et al.. (2022). Mutational spectrum of ATRX aberrations in neuroblastoma and associated patient and tumor characteristics. Cancer Science. 113(6). 2167–2178. 16 indexed citations
4.
Kromp, Florian, Lukas Fischer, Eva Bozsaky, et al.. (2021). Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation. IEEE Transactions on Medical Imaging. 40(7). 1934–1949. 52 indexed citations
5.
Kromp, Florian, Eva Bozsaky, Fikret Rifatbegovic, et al.. (2020). An annotated fluorescence image dataset for training nuclear segmentation methods. Scientific Data. 7(1). 262–262. 50 indexed citations
6.
Byrgazov, Konstantin, Benjamin Salzer, Eva Bozsaky, et al.. (2020). Targeting aggressive osteosarcoma with a peptidase-enhanced cytotoxic melphalan flufenamide. Therapeutic Advances in Medical Oncology. 12. 3863552931–3863552931. 7 indexed citations
7.
Madjd, Zahra, et al.. (2019). An evaluation of the effect of bortezomib on radiation-induced urinary bladder dysfunction. Strahlentherapie und Onkologie. 195(10). 934–939. 3 indexed citations
8.
Bozsaky, Eva, et al.. (2018). Systemic administration of heparin ameliorates radiation-induced oral mucositis—preclinical studies in mice. Strahlentherapie und Onkologie. 194(7). 686–692. 3 indexed citations
9.
Eghbal-zadeh, Hamid, Lukas Fischer, Niko Popitsch, et al.. (2018). DeepSNP: An End-to-End Deep Neural Network with Attention-Based Localization for Breakpoint Detection in Single-Nucleotide Polymorphism Array Genomic Data. Journal of Computational Biology. 26(6). 572–596. 2 indexed citations
10.
Gruber, Sylvia, et al.. (2017). Early inflammatory changes in radiation-induced oral mucositis. Strahlentherapie und Onkologie. 193(6). 499–507. 21 indexed citations
11.
Gruber, Sylvia, et al.. (2015). Local hypoxia in oral mucosa (mouse) during daily fractionated irradiation – Effect of pentoxifylline. Radiotherapy and Oncology. 116(3). 404–408. 17 indexed citations
12.
Kuess, Peter, et al.. (2014). Dosimetric challenges of small animal irradiation with a commercial X-ray unit. Zeitschrift für Medizinische Physik. 24(4). 363–372. 33 indexed citations
13.
Gruber, Sylvia, et al.. (2014). Modulation of radiation-induced oral mucositis by pentoxifylline: Preclinical studies. Strahlentherapie und Onkologie. 191(3). 242–247. 16 indexed citations
14.
Bozsaky, Eva, et al.. (2010). Sequence-Based High Resolution Chromosomal Comparative Genomic Hybridization (CGH). Methods in molecular biology. 659. 299–312. 1 indexed citations
15.
Brunner, Bodo, et al.. (2008). Sequence based high resolution chromosomal CGH. Cytogenetic and Genome Research. 121(1). 1–6. 3 indexed citations
16.
Bozsaky, Eva, Franz Watzinger, Ulrike Pöetschger, et al.. (2007). Genes Proximal and Distal to MYCN Are Highly Expressed in Human Neuroblastoma as Visualized by Comparative Expressed Sequence Hybridization. American Journal Of Pathology. 172(1). 203–214. 21 indexed citations
17.
Bozsaky, Eva, Dietmar Rieder, Gabriela Bindea, et al.. (2007). A new platform linking chromosomal and sequence information. Chromosome Research. 15(3). 327–39. 6 indexed citations
18.
Ambros, I.M., et al.. (2006). Induction of senescence in MYCN amplified neuroblastoma cell lines by hydroxyurea. Genes Chromosomes and Cancer. 46(2). 130–142. 30 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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