Stefan Maurus

451 total citations
17 papers, 263 citations indexed

About

Stefan Maurus is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Stefan Maurus has authored 17 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Oncology. Recurrent topics in Stefan Maurus's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Stefan Maurus is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Stefan Maurus collaborates with scholars based in Germany, Morocco and Malta. Stefan Maurus's co-authors include Jens Ricke, Christian Schulz, Philipp M. Kazmierczak, Clemens C. Cyran, Michael Ingrisch, Philipp Wesp, Thomas Knösel, Anno Graser, Michael Sühling and Dominik Nörenberg and has published in prestigious journals such as Stroke, Scientific Reports and Radiology.

In The Last Decade

Stefan Maurus

17 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Maurus Germany 8 123 81 68 48 44 17 263
Xinping Shen China 7 158 1.3× 68 0.8× 47 0.7× 24 0.5× 10 0.2× 17 291
Cesare Maino Italy 12 175 1.4× 65 0.8× 104 1.5× 19 0.4× 9 0.2× 51 335
Felix G. Gassert Germany 12 234 1.9× 93 1.1× 34 0.5× 16 0.3× 16 0.4× 38 406
Gianmarco Della Pepa Italy 8 121 1.0× 51 0.6× 35 0.5× 16 0.3× 5 0.1× 21 204
Marco Fogante Italy 12 173 1.4× 56 0.7× 22 0.3× 18 0.4× 109 2.5× 46 333
Sumeet G. Dua India 9 104 0.8× 109 1.3× 43 0.6× 12 0.3× 26 0.6× 47 273
Yu Whan Oh South Korea 10 124 1.0× 136 1.7× 16 0.2× 32 0.7× 15 0.3× 33 332
Mustafa Barış Türkiye 9 92 0.7× 37 0.5× 18 0.3× 11 0.2× 12 0.3× 26 281
Ke Lv China 10 145 1.2× 104 1.3× 64 0.9× 6 0.1× 39 0.9× 33 384
Yoshitaka Shida Japan 10 37 0.3× 103 1.3× 67 1.0× 14 0.3× 70 1.6× 26 299

Countries citing papers authored by Stefan Maurus

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Maurus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Maurus

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Maurus. A scholar is included among the top collaborators of Stefan Maurus 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 Stefan Maurus. Stefan Maurus 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.
Fabritius, Matthias P., Michael Winkelmann, Daniel Puhr‐Westerheide, et al.. (2025). Effect of artificial intelligence-aided differentiation of adenomatous and non-adenomatous colorectal polyps at CT colonography on radiologists’ therapy management. European Radiology. 35(7). 4091–4099. 3 indexed citations
2.
Wesp, Philipp, Anno Graser, Stefan Maurus, et al.. (2022). Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps. European Radiology. 32(7). 4749–4759. 22 indexed citations
3.
Escher, Felix, et al.. (2022). Optimization of Preprocedural Full-cycle Computed Tomography in Patients Referred for Transcatheter Tricuspid Valve Repair. Journal of Thoracic Imaging. 38(3). 174–178. 2 indexed citations
4.
Moltz, Jan Hendrik, Melvin D’Anastasi, Wolfgang G. Kunz, et al.. (2022). Radiomics Features of the Spleen as Surrogates for CT-Based Lymphoma Diagnosis and Subtype Differentiation. Cancers. 14(3). 713–713. 17 indexed citations
5.
Weckbach, Ludwig T., Johannes C. Hellmuth, Maximilian Muenchhoff, et al.. (2021). Myocardial Inflammation and Dysfunction in COVID-19–Associated Myocardial Injury. Circulation Cardiovascular Imaging. 14(1). e012220–e012220. 59 indexed citations
7.
Spiro, Judith, Constantin Marschner, Stefan Maurus, et al.. (2021). Appearance of COVID-19 pneumonia on 1.5 T TrueFISP MRI. Radiologia Brasileira. 54(4). 211–218. 1 indexed citations
8.
Fabritius, Matthias P., Steffen Tiedt, Daniel Puhr‐Westerheide, et al.. (2021). Computed Tomography Perfusion Deficit Volumes Predict Functional Outcome in Patients With Basilar Artery Occlusion. Stroke. 52(6). 2016–2023. 24 indexed citations
9.
Tiedt, Steffen, Daniel Puhr‐Westerheide, Matthias P. Fabritius, et al.. (2021). Decomposing Acute Symptom Severity in Large Vessel Occlusion Stroke: Association With Multiparametric CT Imaging and Clinical Parameters. Frontiers in Neurology. 12. 651387–651387. 2 indexed citations
10.
Fabritius, Matthias P., F Hartmann, Ricarda Seidensticker, et al.. (2021). Liver Function Changes After Technetium-99m-Macroaggregated Albumin Administration and Their Predictive Value Regarding Hepatotoxicity in Patients Undergoing Yttrium-90-Radioembolization. Anticancer Research. 41(1). 437–444. 1 indexed citations
11.
Moltz, Jan Hendrik, Julian Walter Holch, Thomas S. Huber, et al.. (2021). Quantitative Imaging Biomarkers of the Whole Liver Tumor Burden Improve Survival Prediction in Metastatic Pancreatic Cancer. Cancers. 13(22). 5732–5732. 7 indexed citations
13.
Heinemann, Volker, Michael Wels, Thomas S. Huber, et al.. (2020). The Technome - A Predictive Internal Calibration Approach for Quantitative Imaging Biomarker Research. Scientific Reports. 10(1). 1103–1103. 11 indexed citations
14.
Holch, Julian Walter, Volker Heinemann, Thomas S. Huber, et al.. (2020). The relevance of CT-based geometric and radiomics analysis of whole liver tumor burden to predict survival of patients with metastatic colorectal cancer. European Radiology. 31(2). 834–846. 32 indexed citations
15.
Wenter, Vera, Hendrik Kooijman, Stefan Maurus, et al.. (2020). Clinical value of [18F]FDG-PET/CT and 3D-black-blood 3T-MRI for the diagnosis of large vessel vasculitis and single-organ vasculitis of the aorta. The Quarterly Journal of Nuclear Medicine and Molecular Imaging. 64(2). 194–202. 4 indexed citations
16.
Maurus, Stefan, Hendrik Kooijman, Eva Coppenrath, et al.. (2019). 3D black-blood 3T-MRI for the diagnosis of abdominal large vessel vasculitis. European Radiology. 30(2). 1041–1044. 2 indexed citations
17.
Treitl, M, Stefan Maurus, Eva Coppenrath, et al.. (2016). 3D-black-blood 3T-MRI for the diagnosis of thoracic large vessel vasculitis: A feasibility study. European Radiology. 27(5). 2119–2128. 37 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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