Oliver Aust
Impact in
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- Eosinophilic Disorders and Syndromes
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- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
Papers in
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- Medical Imaging Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 2
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- Advanced X-ray and CT Imaging 5
- Co-authors
- Georg Schett (8 shared papers)Anika Grüneboom (6 shared papers)Andreas Maier (9 shared papers)Susetta Finotto (1 shared paper)Darja Andreev (2 shared papers)Aline Bözec (1 shared paper)Andreas Gießl (1 shared paper)Philipp Kirchner (1 shared paper)
- Journals
- Bone (1 paper)PLoS Computational Biology (1 paper)Annals of the Rheumatic Diseases (1 paper)Immunological Reviews (1 paper)Journal of Microscopy (1 paper)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Oliver Aust
13 papers receiving 159 citations
Peers
Comparison fields: 5 of 50
- Rheumatology 30
- Immunology 39
- Radiology, Nuclear Medicine and Imaging 41
- Computer Vision and Pattern Recognition 21
- Immunology and Allergy 5
Countries citing papers authored by Oliver Aust
This map shows the geographic impact of Oliver Aust'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 Oliver Aust with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Aust more than expected).
Fields of papers citing papers by Oliver Aust
This network shows the impact of papers produced by Oliver Aust. 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 Oliver Aust. The network helps show where Oliver Aust may publish in the future.
Co-authors
The 25 scholars most cited alongside Oliver Aust, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 66 | |
| 2 | 2022 | 20 | |
| 3 | 2020 | 14 | |
| 4 | 2023 | 13 | |
| 5 | 2021 | 12 | |
| 6 | 2022 | 9 | |
| 7 | 2019 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2025 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Oliver Aust
Oliver Aust is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Immunology, Molecular Biology and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 159 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (5 papers), Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced X-ray Imaging Techniques (2 papers), Facial Trauma and Fracture Management (1 paper), Glycosylation and Glycoproteins Research (1 paper), Radiation Shielding Materials Analysis (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Rheumatology (30 citations), Immunology (39 citations), Radiology, Nuclear Medicine and Imaging (41 citations), Computer Vision and Pattern Recognition (21 citations) and Immunology and Allergy (5 citations). Oliver Aust has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Georg Schett, Anika Grüneboom, Andreas Maier, Susetta Finotto, Darja Andreev, Aline Bözec, Andreas Gießl, Philipp Kirchner, Arnd Kleyer and Katerina Kachler. Their work appears in journals such as Bone, PLoS Computational Biology, Annals of the Rheumatic Diseases, Immunological Reviews and Journal of Microscopy.
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.