Marius Wunderle

685 total citations
17 papers, 311 citations indexed

About

Marius Wunderle is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Marius Wunderle has authored 17 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 7 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Marius Wunderle's work include BRCA gene mutations in cancer (9 papers), Cancer Genomics and Diagnostics (5 papers) and DNA Repair Mechanisms (3 papers). Marius Wunderle is often cited by papers focused on BRCA gene mutations in cancer (9 papers), Cancer Genomics and Diagnostics (5 papers) and DNA Repair Mechanisms (3 papers). Marius Wunderle collaborates with scholars based in Germany, Austria and Iran. Marius Wunderle's co-authors include Peter A. Fasching, Michael P. Lux, Juliane Hoyer, Matthias W. Beckmann, André Reis, Volker Tresp, Georgia Vasileiou, Yinchong Yang, Cornelia Kraus and Steffen Uebe and has published in prestigious journals such as Scientific Reports, International Journal of Cancer and Medical Physics.

In The Last Decade

Marius Wunderle

15 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marius Wunderle Germany 10 109 76 66 66 46 17 311
Xiaopu Yuan United States 9 93 0.9× 111 1.5× 221 3.3× 153 2.3× 49 1.1× 10 384
Kaoru Nakano Japan 14 55 0.5× 157 2.1× 156 2.4× 84 1.3× 129 2.8× 39 552
Colin P. Bergstrom United States 10 66 0.6× 51 0.7× 20 0.3× 29 0.4× 12 0.3× 25 269
Mengping Long China 11 32 0.3× 150 2.0× 70 1.1× 64 1.0× 18 0.4× 34 333
Barbara Siegele Germany 7 20 0.2× 162 2.1× 86 1.3× 135 2.0× 45 1.0× 13 347
Şeyda Karaveli Türkiye 10 51 0.5× 187 2.5× 56 0.8× 76 1.2× 11 0.2× 34 385
Katharina Buser Switzerland 7 35 0.3× 108 1.4× 100 1.5× 58 0.9× 40 0.9× 10 342
Bingyi Yang China 15 78 0.7× 102 1.3× 75 1.1× 63 1.0× 13 0.3× 32 575
Felipe Batalini United States 11 66 0.6× 122 1.6× 186 2.8× 76 1.2× 25 0.5× 39 411
Jean-Lambert Pasteels Belgium 13 31 0.3× 125 1.6× 78 1.2× 51 0.8× 23 0.5× 19 349

Countries citing papers authored by Marius Wunderle

Since Specialization
Citations

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

Fields of papers citing papers by Marius Wunderle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marius Wunderle

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

All Works

17 of 17 papers shown
1.
Wunderle, Marius, Martin Bachler, Bernhard Hametner, et al.. (2025). Continuous measurement of pulse arrival time for identification of blood pressure changes in patients undergoing hemodialysis—a feasibility study. Clinical Kidney Journal. 18(11). sfaf255–sfaf255.
2.
Wunderle, Marius, Matthias Ruebner, Hanna Huebner, et al.. (2023). Ex Vivo Chromosomal Radiosensitivity Testing in Patients with Pathological Germline Variants in Breast Cancer High-Susceptibility Genes BReast CAncer 1 and BReast CAncer 2. Current Issues in Molecular Biology. 45(8). 6618–6633. 2 indexed citations
3.
Huebner, Hanna, Lothar Häberle, Paul Gaß, et al.. (2020). HLA-G and HLA-F protein isoform expression in breast cancer patients receiving neoadjuvant treatment. Scientific Reports. 10(1). 15750–15750. 18 indexed citations
4.
Rauch, T., Jens Rieger, Georg Pelzer, et al.. (2020). Discrimination analysis of breast calcifications using x‐ray dark‐field radiography. Medical Physics. 47(4). 1813–1826. 11 indexed citations
5.
Wunderle, Marius, Nicolai Härtel, Nina Wagener, et al.. (2020). Prospective geriatric assessment for perioperative risk stratification in partial nephrectomy. European Journal of Surgical Oncology. 47(4). 913–919. 5 indexed citations
6.
Vasileiou, Georgia, Juliane Hoyer, Cornelia Kraus, et al.. (2020). Breast MRI texture analysis for prediction of BRCA-associated genetic risk. BMC Medical Imaging. 20(1). 86–86. 9 indexed citations
7.
Schrauder, Michael, Lothar Häberle, Marius Wunderle, et al.. (2019). Cost effectiveness of bilateral risk-reducing mastectomy and salpingo-oophorectomy. European journal of medical research. 24(1). 32–32. 7 indexed citations
8.
Wunderle, Marius, Michael Schneider, Ramona Erber, et al.. (2019). Mammakarzinom: Neuerungen in Früherkennung und Diagnostik. 13(1). 39–57.
9.
Wunderle, Marius, Naiba Nabieva, Lothar Häberle, et al.. (2018). Risk, Prediction and Prevention of Hereditary Breast Cancer – Large-Scale Genomic Studies in Times of Big and Smart Data. Geburtshilfe und Frauenheilkunde. 78(5). 481–492. 29 indexed citations
10.
Yang, Yinchong, Volker Tresp, Marius Wunderle, & Peter A. Fasching. (2018). Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks. 152–162. 42 indexed citations
11.
Hoyer, Juliane, Georgia Vasileiou, Steffen Uebe, et al.. (2018). Addition of triple negativity of breast cancer as an indicator for germline mutations in predisposing genes increases sensitivity of clinical selection criteria. BMC Cancer. 18(1). 926–926. 12 indexed citations
12.
Schulz‐Wendtland, Rüdiger, Sebastian M. Jud, Peter Fasching, et al.. (2017). A Standard Mammography Unit – Standard 3D Ultrasound Probe Fusion Prototype: First Results. Geburtshilfe und Frauenheilkunde. 77(6). 679–685. 6 indexed citations
13.
Schrauder, Michael, Lothar Häberle, Marius Wunderle, et al.. (2017). Cost-effectiveness of risk-reducing surgeries in preventing hereditary breast and ovarian cancer. The Breast. 32. 186–191. 21 indexed citations
14.
Häberle, Lothar, Alexander Hein, Matthias Rübner, et al.. (2017). Predicting Triple-Negative Breast Cancer Subtype Using Multiple Single Nucleotide Polymorphisms for Breast Cancer Risk and Several Variable Selection Methods. Geburtshilfe und Frauenheilkunde. 77(6). 667–678. 12 indexed citations
15.
Kraus, Cornelia, Juliane Hoyer, Georgia Vasileiou, et al.. (2016). Gene panel sequencing in familial breast/ovarian cancer patients identifies multiple novel mutations also in genes others than BRCA1/2. International Journal of Cancer. 140(1). 95–102. 86 indexed citations
16.
Lux, Michael P., Marius Wunderle, Alexander Hein, et al.. (2015). (Neo-)Adjuvanten und First-Line-Therapie. Der Gynäkologe. 48(12). 876–884. 1 indexed citations
17.
Fleming, Thomas, Jinit Masania, Marius Wunderle, et al.. (2013). Aging-Dependent Reduction in Glyoxalase 1 Delays Wound Healing. Gerontology. 59(5). 427–437. 50 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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