Oliver Aust

527 citations
17 papers · 377 · h-index 8

Impact in

    • Complement system in diseases
    • Immune cells in cancer
    • IL-33, ST2, and ILC Pathways
    • Immune Cell Function and Interaction
    • Rheumatoid Arthritis Research and Therapies

Papers in

Oliver Aust

15 papers receiving 376 citations

Peers

Oliver Aust
Comparison fields: 5 of 63
  • Immunology 145
  • Rheumatology 74
  • Nephrology 16
  • Radiology, Nuclear Medicine and Imaging 47
  • Hematology 23
Replace Haihong Yao with:
Haihong Yao China
Huaqun Zhu China
Alice R. Lorenzi United Kingdom
Jeong-Hyeon Sohn United States
Márta Bocskai Hungary
Jorge A. Irizarry‐Caro United States
Sei Muraoka Japan
Dongkyun Kim United States
D F Huang Taiwan
Carolina Artusi Italy
Oliver Aust relative to Haihong Yao China Haihong Yao's profile →
Citations per field
00.5×1.6×
Haihong Yao · 1×
Citations per year

Countries citing papers authored by Oliver Aust

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Oliver Aust Line = papers co-authored together Oliver Aust links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2021196
2 202069
3 202220
4 202016
5 202115
6 202314
7 202513
8 20229
9 20196
10 20234
11 20214
12 20224
13 20253
14 20223
15 20231
16 20250
17 20250

About Oliver Aust

Oliver Aust is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Biomedical Engineering, Radiation and Hematology, having authored 17 papers that have together received 377 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Advanced X-ray and CT Imaging (5 papers), Immune cells in cancer (3 papers), Advanced X-ray Imaging Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Acute Myeloid Leukemia Research (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Autoimmune and Inflammatory Disorders Research (1 paper). The work is most often cited by research in Immunology (145 citations), Rheumatology (74 citations), Nephrology (16 citations), Radiology, Nuclear Medicine and Imaging (47 citations) and Hematology (23 citations). Oliver Aust has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Georg Andreas Schett, Anika Grüneboom, Andreas Maier, Mareike Thies, Andreas Ramming, Susetta Finotto, Philipp Kirchner, Arif Bülent Ekici, Katerina Kachler and Simon Rauber. Their work appears in journals such as Medical Physics, International Journal of Pediatric Otorhinolaryngology, Journal of Microscopy, Immunity and Bone.

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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