Maria Bernathova

1.7k total citations
44 papers, 1.0k citations indexed

About

Maria Bernathova is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Maria Bernathova has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pathology and Forensic Medicine and 7 papers in Surgery. Recurrent topics in Maria Bernathova's work include MRI in cancer diagnosis (15 papers), Breast Lesions and Carcinomas (13 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Maria Bernathova is often cited by papers focused on MRI in cancer diagnosis (15 papers), Breast Lesions and Carcinomas (13 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Maria Bernathova collaborates with scholars based in Austria, United States and Italy. Maria Bernathova's co-authors include Thomas H. Helbich, Pascal Baltzer, Panagiotis Kapetas, Katja Pinker, Paola Clauser, Gerd Bodner, Michael Weber, Margaretha Rudas, Ramona Woitek and Christian F. Singer and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Maria Bernathova

43 papers receiving 984 citations

Peers

Maria Bernathova
Wanda K. Bernreuter United States
Donna Taylor Australia
Mirinae Seo South Korea
Laura Martincich Italy
R. Gilles France
Claudio Spick Austria
Carol B. Stelling United States
Stefano Cirillo Italy
Julian Kirchner Germany
Giovanna Trecate Italy
Wanda K. Bernreuter United States
Maria Bernathova
Citations per year, relative to Maria Bernathova Maria Bernathova (= 1×) peers Wanda K. Bernreuter

Countries citing papers authored by Maria Bernathova

Since Specialization
Citations

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

Fields of papers citing papers by Maria Bernathova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Bernathova

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Bernathova. A scholar is included among the top collaborators of Maria Bernathova 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 Maria Bernathova. Maria Bernathova 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.
Bennani‐Baïti, Barbara, Michael Weber, Maria Bernathova, et al.. (2024). Pilot study: A simple CAD-based tool to detect breast cancer on MRI of the breast. Magnetic Resonance Imaging. 110. 1–6. 1 indexed citations
2.
Dietzel, Matthias, Maria Bernathova, Paola Clauser, et al.. (2023). Added value of clinical decision rules for the management of enhancing breast MRI lesions: A systematic comparison of the Kaiser score and the Göttingen score. European Journal of Radiology. 169. 111185–111185. 6 indexed citations
3.
Baltzer, Pascal, Panagiotis Kapetas, Ruxandra‐Iulia Milos, et al.. (2023). Is the Level of Contrast Enhancement on Contrast-Enhanced Mammography (CEM) Associated with the Presence and Biological Aggressiveness of Breast Cancer?. Diagnostics. 13(4). 754–754. 10 indexed citations
4.
Bernathova, Maria, et al.. (2022). High-Resolution Ultrasound and Magnetic Resonance Imaging of Abnormal Ligaments in Thoracic Outlet Syndrome in a Series of 16 Cases. Frontiers in Neuroscience. 15. 817337–817337. 8 indexed citations
5.
Kapetas, Panagiotis, Paola Clauser, Ruxandra‐Iulia Milos, et al.. (2021). Microstructural breast tissue characterization: A head-to-head comparison of Diffusion Weighted Imaging and Acoustic Radiation Force Impulse elastography with clinical implications. European Journal of Radiology. 143. 109926–109926. 4 indexed citations
6.
Clauser, Paola, Pascal Baltzer, Panagiotis Kapetas, et al.. (2021). One view or two views for wide-angle tomosynthesis with synthetic mammography in the assessment setting?. European Radiology. 32(1). 661–670. 2 indexed citations
7.
Milos, Ruxandra‐Iulia, Paola Clauser, Panagiotis Kapetas, et al.. (2020). The Kaiser score reliably excludes malignancy in benign contrast-enhancing lesions classified as BI-RADS 4 on breast MRI high-risk screening exams. European Radiology. 30(11). 6052–6061. 45 indexed citations
8.
Müller‐Schimpfle, Markus, Werner Bader, Pascal Baltzer, et al.. (2019). Consensus Meeting of Breast Imaging: BI-RADS® and Beyond. Breast Care. 14(5). 308–314. 8 indexed citations
9.
Clauser, Paola, Panagiotis Kapetas, Maria Bernathova, et al.. (2019). Can we predict lesion detection rates in second-look ultrasound of MRI-detected breast lesions? A systematic analysis. European Journal of Radiology. 113. 96–100. 12 indexed citations
10.
Kapetas, Panagiotis, Paola Clauser, Ramona Woitek, et al.. (2018). Virtual Touch IQ elastography reduces unnecessary breast biopsies by applying quantitative “rule-in” and “rule-out” threshold values. Scientific Reports. 8(1). 3583–3583. 5 indexed citations
11.
Kapetas, Panagiotis, Ramona Woitek, Paola Clauser, et al.. (2018). A Simple Ultrasound Based Classification Algorithm Allows Differentiation of Benign from Malignant Breast Lesions by Using Only Quantitative Parameters. Molecular Imaging and Biology. 20(6). 1053–1060. 9 indexed citations
12.
13.
Spick, Claudio, Melanie Schernthaner, Katja Pinker, et al.. (2016). MR-guided vacuum-assisted breast biopsy of MRI-only lesions: a single center experience. European Radiology. 26(11). 3908–3916. 34 indexed citations
14.
Clauser, Paola, Thomas H. Helbich, Katja Pinker, et al.. (2016). Diagnostic performance of digital breast tomosynthesis with a wide scan angle compared to full-field digital mammography for the detection and characterization of microcalcifications. European Journal of Radiology. 85(12). 2161–2168. 32 indexed citations
15.
Marino, Maria Adele, Paola Clauser, Ramona Woitek, et al.. (2015). A simple scoring system for breast MRI interpretation: does it compensate for reader experience?. European Radiology. 26(8). 2529–2537. 67 indexed citations
16.
Pfeiler, Georg, Alex Farr, Ramona Woitek, et al.. (2015). Residual breast tissue after mastectomy in non high risk and BRCA mutated patients.. Journal of Clinical Oncology. 33(15_suppl). 1061–1061. 3 indexed citations
17.
Pinker, Katja, Wolfgang Bogner, Pascal Baltzer, et al.. (2013). Clinical application of bilateral high temporal and spatial resolution dynamic contrast-enhanced magnetic resonance imaging of the breast at 7 T. European Radiology. 24(4). 913–920. 43 indexed citations
18.
Bodner, Gerd, et al.. (2009). Ultrasound of the Lateral Femoral Cutaneous Nerve. Regional Anesthesia & Pain Medicine. 34(3). 265–268. 33 indexed citations
19.
Bernathova, Maria, Michael Felfernig, Franz Rachbauer, et al.. (2008). Sonographic Imaging of Abdominal and Extraabdominal Desmoids. Ultraschall in der Medizin - European Journal of Ultrasound. 29(5). 515–519. 13 indexed citations
20.
Bodner, Gerd, et al.. (2004). Sonographic findings in stress fractures of the lower limb: preliminary findings. European Radiology. 15(2). 356–359. 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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