Hanns‐Christian Breit

2.0k total citations · 2 hit papers
41 papers, 797 citations indexed

About

Hanns‐Christian Breit is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hanns‐Christian Breit has authored 41 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Biomedical Engineering and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hanns‐Christian Breit's work include Advanced MRI Techniques and Applications (15 papers), Advanced X-ray and CT Imaging (12 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Hanns‐Christian Breit is often cited by papers focused on Advanced MRI Techniques and Applications (15 papers), Advanced X-ray and CT Imaging (12 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Hanns‐Christian Breit collaborates with scholars based in Switzerland, Germany and United States. Hanns‐Christian Breit's co-authors include Michael Bach, Daniel T. Boll, Tobias Heye, Jakob Wasserthal, Martin Segeroth, Shan Yang, Alexander Sauter, Joshy Cyriac, Maurice Pradella and Jan Vosshenrich and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Medical Physics.

In The Last Decade

Hanns‐Christian Breit

37 papers receiving 786 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images

2023 465 citations Jakob Wasserthal, Hanns‐Christian Breit et al. profile →
TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI

2025 26 citations Tugba Akinci D’Antonoli, Matthias Jung et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hanns‐Christian Breit Switzerland	11	541	278	133	93	91	41	797
Joshy Cyriac Switzerland	11	496 0.9×	271 1.0×	131 1.0×	95 1.0×	123 1.4×	22	789
Martin Segeroth Switzerland	5	337 0.6×	180 0.6×	84 0.6×	68 0.7×	54 0.6×	11	516
Maurice Pradella Switzerland	8	357 0.7×	178 0.6×	125 0.9×	65 0.7×	64 0.7×	32	622
Aydın Demircioğlu Germany	16	545 1.0×	168 0.6×	186 1.4×	132 1.4×	113 1.2×	53	861
Alexander D. Weston United States	12	475 0.9×	203 0.7×	107 0.8×	207 2.2×	165 1.8×	25	973
Xiangfei Chai China	13	269 0.5×	120 0.4×	164 1.2×	95 1.0×	91 1.0×	19	542
David Zopfs Germany	18	669 1.2×	544 2.0×	151 1.1×	60 0.6×	75 0.8×	77	1.1k
William F. Sensakovic United States	15	566 1.0×	226 0.8×	328 2.5×	59 0.6×	98 1.1×	52	811
Michael Suehling Germany	14	365 0.7×	276 1.0×	103 0.8×	137 1.5×	124 1.4×	28	727

Countries citing papers authored by Hanns‐Christian Breit

Since Specialization

Citations

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

Fields of papers citing papers by Hanns‐Christian Breit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hanns‐Christian Breit. 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 Hanns‐Christian Breit. The network helps show where Hanns‐Christian Breit may publish in the future.

Co-authorship network of co-authors of Hanns‐Christian Breit

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

All Works

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20 of 20 papers shown

Cyriac, Joshy, et al.. (2025). A deep learning pipeline for systematic and accurate vertebral fracture reporting in computed tomography. Clinical Radiology. 83. 106827–106827.

D’Antonoli, Tugba Akinci, Matthias Jung, Alexander Rau, et al.. (2025). TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI. Radiology. 314(2). e241613–e241613. 26 indexed citations breakdown →

Breit, Hanns‐Christian, et al.. (2025). Counting coins in the dark—Austrian, German, and Swiss medical students’ perceptions of radiology. European Radiology. 35(9). 5440–5449. 1 indexed citations

Breit, Hanns‐Christian, et al.. (2025). Deep Learning-Enhanced Single Breath-Hold Abdominal MRI at 0.55 T—Technical Feasibility and Image Quality Assessment. Academic Radiology. 32(12). 7049–7059.

Vosshenrich, Jan, Hanns‐Christian Breit, Markus M. Obmann, et al.. (2025). Arthroscopy-validated diagnostic performance of sub-5-min deep learning super-resolution 3T knee MRI in children and adolescents. Skeletal Radiology. 54(12). 2705–2716.

Breit, Hanns‐Christian, et al.. (2024). Diagnosing periprosthetic hip joint infection with new-generation 0.55 T MRI. European Journal of Radiology. 176. 111524–111524. 2 indexed citations

Segeroth, Martin, David Winkel, Jan Vosshenrich, et al.. (2024). Cardiac Cine MRI Using a Commercially Available 0.55-T Scanner. Radiology Cardiothoracic Imaging. 6(4). e230331–e230331. 3 indexed citations

Breit, Hanns‐Christian, et al.. (2024). New-generation 0.55T MRI in patients with total hip arthroplasty: a comparison with 1.5T MRI. Clinical Radiology. 81. 106758–106758. 2 indexed citations

Wasserthal, Jakob, Jan Vosshenrich, Shan Yang, et al.. (2024). Intra-Individual Reproducibility of Automated Abdominal Organ Segmentation—Performance of TotalSegmentator Compared to Human Readers and an Independent nnU-Net Model. Journal of Imaging Informatics in Medicine. 38(3). 1617–1627. 1 indexed citations

10.

Breit, Hanns‐Christian, Jakob Wasserthal, Michael Bach, et al.. (2024). AI-Based Evaluation of Prostate MR Imaging at a Modern Low-field 0.55 T Scanner Compared to 3 T in a Screening Cohort. Academic Radiology. 32(5). 2700–2706. 1 indexed citations

11.

Vosshenrich, Jan, Hanns‐Christian Breit, P. Kaiser, et al.. (2024). Dual-energy CT of acute bowel ischemia—influence on diagnostic accuracy and reader confidence. European Radiology. 35(3). 1405–1414. 3 indexed citations

12.

Rusche, Thilo, Jakob Wasserthal, Hanns‐Christian Breit, et al.. (2023). Machine Learning for Onset Prediction of Patients with Intracerebral Hemorrhage. Journal of Clinical Medicine. 12(7). 2631–2631. 4 indexed citations

13.

Weikert, Thomas, Paul F. Jaeger, Shuyi Yang, et al.. (2023). Automated lung cancer assessment on 18F-PET/CT using Retina U-Net and anatomical region segmentation. European Radiology. 33(6). 4270–4279. 10 indexed citations

14.

Rusche, Thilo, Hanns‐Christian Breit, Michael Bach, et al.. (2023). Prospective Assessment of Cerebral Microbleeds with Low-Field Magnetic Resonance Imaging (0.55 Tesla MRI). Journal of Clinical Medicine. 12(3). 1179–1179. 4 indexed citations

15.

Breit, Hanns‐Christian, Jan Vosshenrich, Tobias Heye, et al.. (2023). Assessment of hepatic function employing hepatocyte specific contrast agent concentrations to multifactorially evaluate fibrotic remodeling. Quantitative Imaging in Medicine and Surgery. 13(7). 4284–4294. 3 indexed citations

16.

Breit, Hanns‐Christian, Jan Vosshenrich, Martin Clauss, et al.. (2023). Visual and quantitative assessment of hip implant-related metal artifacts at low field MRI: a phantom study comparing a 0.55-T system with 1.5-T and 3-T systems. European Radiology Experimental. 7(1). 5–5. 15 indexed citations

17.

Breit, Hanns‐Christian, Jan Vosshenrich, Michael Bach, & Elmar M. Merkle. (2022). Neue klinische Anwendungsbereiche der Niederfeld-Magnetresonanztomographie. Der Radiologe. 62(5). 394–399. 3 indexed citations

18.

Vosshenrich, Jan, Hanns‐Christian Breit, Michael Bach, & Elmar M. Merkle. (2022). Ökonomische Aspekte der Niederfeld-Magnetresonanztomographie. Der Radiologe. 62(5). 400–404. 31 indexed citations

19.

Winkel, David, Hanns‐Christian Breit, Kai Tobias Block, Daniel T. Boll, & Tobias Heye. (2020). High spatiotemporal resolution dynamic contrast-enhanced MRI improves the image-based discrimination of histopathology risk groups of peripheral zone prostate cancer: a supervised machine learning approach. European Radiology. 30(9). 4828–4837. 9 indexed citations

20.

Winkel, David, Hanns‐Christian Breit, Bibo Shi, et al.. (2020). Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning: comparison with PI-RADS v2 assessment scores. Quantitative Imaging in Medicine and Surgery. 10(4). 808–823. 19 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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