Magdalena Görtz

609 total citations
31 papers, 294 citations indexed

About

Magdalena Görtz is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Rheumatology. According to data from OpenAlex, Magdalena Görtz has authored 31 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pulmonary and Respiratory Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Rheumatology. Recurrent topics in Magdalena Görtz's work include Prostate Cancer Diagnosis and Treatment (18 papers), Prostate Cancer Treatment and Research (14 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Magdalena Görtz is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (18 papers), Prostate Cancer Treatment and Research (14 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Magdalena Görtz collaborates with scholars based in Germany, United States and United Kingdom. Magdalena Görtz's co-authors include Markus Hohenfellner, David Bonekamp, Viktoria Schütz, Albrecht Stenzinger, Heinz‐Peter Schlemmer, Jan Philipp Radtke, Holger Sültmann, Thomas Hielscher, Joanne Nyarangi‐Dix and Stefan Duensing and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Magdalena Görtz

28 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Magdalena Görtz Germany 10 171 101 55 50 39 31 294
Masatomo Kaneko Japan 10 190 1.1× 89 0.9× 69 1.3× 25 0.5× 48 1.2× 39 301
Arveen Kalapara United States 9 170 1.0× 53 0.5× 62 1.1× 39 0.8× 140 3.6× 18 347
Ada Muellner United States 8 99 0.6× 210 2.1× 22 0.4× 22 0.4× 14 0.4× 15 324
Cleo K. Maehara United States 8 282 1.6× 128 1.3× 85 1.5× 11 0.2× 33 0.8× 16 391
Peter A. Pinto United States 6 230 1.3× 41 0.4× 66 1.2× 10 0.2× 50 1.3× 7 308
Krishnan R. Patel United States 9 76 0.4× 104 1.0× 11 0.2× 35 0.7× 19 0.5× 26 295
Stefano Granato Italy 12 303 1.8× 47 0.5× 64 1.2× 25 0.5× 146 3.7× 26 414
Dhakshinamoorthy Ganeshan United States 5 71 0.4× 192 1.9× 9 0.2× 48 1.0× 36 0.9× 8 283
I. Rivero Belenchón Spain 9 106 0.6× 21 0.2× 19 0.3× 19 0.4× 93 2.4× 34 245
Thilo Westhofen Germany 12 195 1.1× 17 0.2× 114 2.1× 19 0.4× 64 1.6× 51 335

Countries citing papers authored by Magdalena Görtz

Since Specialization
Citations

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

Fields of papers citing papers by Magdalena Görtz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magdalena Görtz

This figure shows the co-authorship network connecting the top 25 collaborators of Magdalena Görtz. A scholar is included among the top collaborators of Magdalena Görtz 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 Magdalena Görtz. Magdalena Görtz 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.
Riediger, Anja Lisa, Magdalena Görtz, Albrecht Stenzinger, et al.. (2025). Low-coverage whole genome sequencing of cell-free DNA to predict and track immunotherapy response in advanced non-small cell lung cancer. Journal of Experimental & Clinical Cancer Research. 44(1). 87–87. 2 indexed citations
2.
Görtz, Magdalena, et al.. (2025). Digital twins for personalized treatment in uro-oncology in the era of artificial intelligence. Nature Reviews Urology. 23(1). 29–39. 1 indexed citations
3.
Tosev, Georgi, Adam Kaczorowski, Constantin Schwab, et al.. (2024). PD-L1 as a Urine Biomarker in Renal Cell Carcinoma—A Case Series and Proof-of-Concept Study. Diagnostics. 14(7). 741–741.
4.
Kaczorowski, Adam, Cathleen Nientiedt, Constantin Schwab, et al.. (2024). Deficiency in DNA Damage Repair Proteins Promotes Prostate Cancer Cell Migration through Oxidative Stress. SHILAP Revista de lepidopterología. 4(2). 56–67. 1 indexed citations
5.
Lleshi, Ermira, Robert L. Hanson, Radosław Lach, et al.. (2024). Prostate cancer detection through unbiased capture of methylated cell-free DNA. iScience. 27(7). 110330–110330. 5 indexed citations
6.
Kaczorowski, Adam, F Schneider, Angela Sun, et al.. (2024). Immune landscape of renal cell carcinoma with metastasis to the pancreas. Urologic Oncology Seminars and Original Investigations. 42(11). 373.e9–373.e17. 1 indexed citations
7.
Hielscher, Thomas, Magdalena Görtz, Viktoria Schütz, et al.. (2024). Prostate cancer risk assessment and avoidance of prostate biopsies using fully automatic deep learning in prostate MRI: comparison to PI-RADS and integration with clinical data in nomograms. European Radiology. 34(12). 7909–7920. 8 indexed citations
8.
Görtz, Magdalena, et al.. (2023). An artificial intelligence-based chatbot for prostate cancer education: Design and patient evaluation study. Digital Health. 9. 589817016–589817016. 54 indexed citations
9.
Schneider, F, Adam Kaczorowski, Martina Kirchner, et al.. (2023). Digital Spatial Profiling Identifies the Tumor Periphery as a Highly Active Biological Niche in Clear Cell Renal Cell Carcinoma. Cancers. 15(20). 5050–5050. 6 indexed citations
10.
Hielscher, Thomas, Vivienn Weru, Magdalena Görtz, et al.. (2023). Same-day repeatability and Between-Sequence reproducibility of Mean ADC in PI-RADS lesions. European Journal of Radiology. 165. 110898–110898. 3 indexed citations
11.
Mayer, Philipp, Lukas T. Rotkopf, Magdalena Görtz, et al.. (2023). Are T2WI PI-RADS sub-scores of transition zone prostate lesions biased by DWI information? A multi-reader, single-center study. European Journal of Radiology. 167. 111026–111026. 3 indexed citations
12.
Kovàcs, Bálint, Michael Baumgartner, Fabian Isensee, et al.. (2023). Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer. Scientific Reports. 13(1). 19805–19805. 1 indexed citations
13.
Görtz, Magdalena, Joanne Nyarangi‐Dix, Viktoria Schütz, et al.. (2022). Impact of Surgeon’s Experience in Rigid versus Elastic MRI/TRUS-Fusion Biopsy to Detect Significant Prostate Cancer Using Targeted and Systematic Cores. Cancers. 14(4). 886–886. 5 indexed citations
14.
Hielscher, Thomas, Magdalena Görtz, Tristan Anselm Kuder, et al.. (2022). Contribution of Dynamic Contrast-enhanced and Diffusion MRI to PI-RADS for Detecting Clinically Significant Prostate Cancer. Radiology. 306(1). 186–199. 34 indexed citations
15.
Riediger, Anja Lisa, et al.. (2022). Biomarkers for the Detection and Risk Stratification of Aggressive Prostate Cancer. Cancers. 14(24). 6094–6094. 11 indexed citations
16.
Wang, Xianfeng, Thomas Hielscher, Jan Philipp Radtke, et al.. (2021). Comparison of single-scanner single-protocol quantitative ADC measurements to ADC ratios to detect clinically significant prostate cancer. European Journal of Radiology. 136. 109538–109538. 11 indexed citations
17.
Görtz, Magdalena, Jan Philipp Radtke, Gencay Hatiboglu, et al.. (2020). The value of PSA density in PI-RADS 3 lesions on multiparametric MRI - a strategy to avoid unnecessary prostate biopsies. European Urology Open Science. 19. e1721–e1721. 1 indexed citations
18.
Schelb, Patrick, Thomas Hielscher, Magdalena Görtz, et al.. (2020). Comparison of Prostate MRI Lesion Segmentation Agreement Between Multiple Radiologists and a Fully Automatic Deep Learning System. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 193(5). 559–573. 19 indexed citations
19.
Görtz, Magdalena, Jan Philipp Radtke, Gencay Hatiboglu, et al.. (2019). The Value of Prostate-specific Antigen Density for Prostate Imaging-Reporting and Data System 3 Lesions on Multiparametric Magnetic Resonance Imaging: A Strategy to Avoid Unnecessary Prostate Biopsies. European Urology Focus. 7(2). 325–331. 41 indexed citations
20.
Franz, Clemens M., Magdalena Görtz, Yakup Kulu, et al.. (2019). The Role of Pre-Procurement Pancreas Suitability Score (P-PASS) and Pancreas Donor Risk Index (PDRI) in the Outcome of Simultaneous Pancreas and Kidney or Pancreas After Kidney Transplantation. Annals of Transplantation. 24. 439–445. 9 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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