Ute Rößler

716 total citations
23 papers, 433 citations indexed

About

Ute Rößler is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Molecular Biology. According to data from OpenAlex, Ute Rößler has authored 23 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Cancer Research and 7 papers in Molecular Biology. Recurrent topics in Ute Rößler's work include Effects of Radiation Exposure (11 papers), Carcinogens and Genotoxicity Assessment (7 papers) and DNA Repair Mechanisms (6 papers). Ute Rößler is often cited by papers focused on Effects of Radiation Exposure (11 papers), Carcinogens and Genotoxicity Assessment (7 papers) and DNA Repair Mechanisms (6 papers). Ute Rößler collaborates with scholars based in Germany, United Kingdom and Finland. Ute Rößler's co-authors include Sabine Hornhardt, Maria Gomolka, Ulrike Kulka, Maria Gomolka, Elisabeth Thomassen, Anne Katrin Werenskiold, Stephen Barnard, Kai Rothkamm, Heike Bickeböller and Albert Rosenberger and has published in prestigious journals such as PLoS ONE, Scientific Reports and Developmental Biology.

In The Last Decade

Ute Rößler

22 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ute Rößler Germany 15 210 184 130 92 59 23 433
Sylwia Kabacik United Kingdom 11 276 1.3× 308 1.7× 189 1.5× 142 1.5× 44 0.7× 16 549
Paula Maguire Ireland 13 240 1.1× 384 2.1× 52 0.4× 242 2.6× 46 0.8× 17 650
Rhona M. Anderson United Kingdom 14 373 1.8× 187 1.0× 208 1.6× 189 2.1× 18 0.3× 29 603
Enikő Kis Hungary 9 203 1.0× 124 0.7× 86 0.7× 73 0.8× 58 1.0× 13 357
F. Andrew Ray United States 9 233 1.1× 182 1.0× 81 0.6× 163 1.8× 19 0.3× 12 504
Kensuke Otsuka Japan 14 198 0.9× 336 1.8× 68 0.5× 223 2.4× 9 0.2× 31 526
Adeline Granzotto France 14 271 1.3× 268 1.5× 145 1.1× 155 1.7× 8 0.1× 31 526
Yosuke Ejima Japan 12 316 1.5× 153 0.8× 126 1.0× 92 1.0× 13 0.2× 22 544
Annette Raabe Germany 10 91 0.4× 97 0.5× 74 0.6× 87 0.9× 34 0.6× 27 280
Clément Devic France 16 296 1.4× 335 1.8× 171 1.3× 197 2.1× 3 0.1× 34 592

Countries citing papers authored by Ute Rößler

Since Specialization
Citations

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

Fields of papers citing papers by Ute Rößler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Rößler

This figure shows the co-authorship network connecting the top 25 collaborators of Ute Rößler. A scholar is included among the top collaborators of Ute Rößler 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 Ute Rößler. Ute Rößler 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.
Subedi, Prabal, Katharina J. Huber, Anne Dietz, et al.. (2023). Towards unravelling biological mechanisms behind radiation-induced oral mucositis via mass spectrometry-based proteomics. Frontiers in Oncology. 13. 1180642–1180642. 3 indexed citations
2.
Einbeck, Jochen, et al.. (2021). The effect of data aggregation on dispersion estimates in count data models. The International Journal of Biostatistics. 18(1). 183–202. 6 indexed citations
3.
Cecil, Alexander, Cornelia Prehn, Gabriele Möller, et al.. (2021). Posterior subcapsular cataracts are a late effect after acute exposure to 0.5 Gy ionizing radiation in mice. International Journal of Radiation Biology. 97(4). 529–540. 5 indexed citations
4.
Brix, Gunnar, et al.. (2020). Double-strand breaks in lymphocyte DNA of humans exposed to [18F]fluorodeoxyglucose and the static magnetic field in PET/MRI. EJNMMI Research. 10(1). 43–43. 4 indexed citations
5.
Garrett, Lillian, Claudia Dalke, Frauke Neff, et al.. (2020). Dose-dependent long-term effects of a single radiation event on behaviour and glial cells. International Journal of Radiation Biology. 97(2). 156–169. 19 indexed citations
6.
Oestreicher, Ursula, David Endesfelder, Maria Gomolka, et al.. (2018). Automated scoring of dicentric chromosomes differentiates increased radiation sensitivity of young children after low dose CT exposure in vitro. International Journal of Radiation Biology. 94(11). 1017–1026. 16 indexed citations
7.
Gomolka, Maria, Ursula Oestreicher, Ute Rößler, et al.. (2018). Age-dependent differences in DNA damage after in vitro CT exposure. International Journal of Radiation Biology. 94(3). 272–281. 12 indexed citations
8.
Barquinero, Joan Francesc, Maria Gomolka, Sabine Hornhardt, et al.. (2016). Differences in DNA Repair Capacity, Cell Death and Transcriptional Response after Irradiation between a Radiosensitive and a Radioresistant Cell Line. Scientific Reports. 6(1). 27043–27043. 38 indexed citations
9.
Moquet, Jayne, Stephen Barnard, Carita Lindholm, et al.. (2016). The second gamma-H2AX assay inter-comparison exercise carried out in the framework of the European biodosimetry network (RENEB). International Journal of Radiation Biology. 93(1). 58–64. 39 indexed citations
10.
Dalke, Claudia, Helmut Fuchs, Matthias Klaften, et al.. (2015). New Mutation in the Mouse Xpd/Ercc2 Gene Leads to Recessive Cataracts. PLoS ONE. 10(5). e0125304–e0125304. 19 indexed citations
11.
Babini, Gabriele, Luca Mariotti, G. Baiocco, et al.. (2015). Radiosensitivity in lymphoblastoid cell lines derived from Shwachman–Diamond syndrome patients. Radiation Protection Dosimetry. 166(1-4). 95–100. 8 indexed citations
12.
Hornhardt, Sabine, Ute Rößler, Wiebke Sauter, et al.. (2014). Genetic factors in individual radiation sensitivity. DNA repair. 16. 54–65. 32 indexed citations
13.
Gürtler, Anne, Ute Rößler, Maria Gomolka, et al.. (2014). Radiation-induced alterations of histone post-translational modification levels in lymphoblastoid cell lines. Radiation Oncology. 9(1). 15–15. 20 indexed citations
14.
Rößler, Ute, Theresa Faus-Keßler, Maria Gomolka, et al.. (2013). Are mouse lens epithelial cells more sensitive to γ-irradiation than lymphocytes?. Radiation and Environmental Biophysics. 52(2). 279–286. 20 indexed citations
15.
Rosenberger, Albert, Ute Rößler, Sabine Hornhardt, et al.. (2012). Heritability of Radiation Response in Lung Cancer Families. Genes. 3(2). 248–260. 5 indexed citations
16.
Rosenberger, Albert, Ute Rößler, Sabine Hornhardt, et al.. (2011). Validation of a fully automated COMET assay: 1.75 million single cells measured over a 5 year period. DNA repair. 10(3). 322–337. 15 indexed citations
17.
Rößler, Ute, Sabine Hornhardt, Cláudia Seidl, et al.. (2006). The sensitivity of the alkaline comet assay in detecting DNA lesions induced by X rays, gamma rays and alpha particles. Radiation Protection Dosimetry. 122(1-4). 154–159. 15 indexed citations
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20.
Rößler, Ute, et al.. (1995). Secreted and Membrane-Bound Isoforms of T1, an Orphan Receptor Related to IL-1-Binding Proteins, Are Differently Expressed in Vivo. Developmental Biology. 168(1). 86–97. 47 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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