Lukas Oldenburg
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
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- Biomedical Text Mining and Ontologies 1
- Gene expression and cancer classification 1
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- AI in cancer detection 2
- Co-authors
- Richard J. Chen (2 shared papers)Anurag Vaidya (2 shared papers)Andrew H. Song (2 shared papers)Faisal Mahmood (2 shared papers)Drew F. K. Williamson (2 shared papers)Guillaume Jaume (2 shared papers)Judy J. Wang (1 shared paper)Long P. Le (1 shared paper)
- Journals
- Nature Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
Lukas Oldenburg
2 papers receiving 443 citations
Lukas Oldenburg's Hit Papers
Peers
Comparison fields: 5 of 57
- Health Informatics 34
- Artificial Intelligence 228
- Radiology, Nuclear Medicine and Imaging 133
- Biophysics 37
- Computer Vision and Pattern Recognition 70
Countries citing papers authored by Lukas Oldenburg
This map shows the geographic impact of Lukas Oldenburg'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 Lukas Oldenburg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Oldenburg more than expected).
Fields of papers citing papers by Lukas Oldenburg
This network shows the impact of papers produced by Lukas Oldenburg. 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 Lukas Oldenburg. The network helps show where Lukas Oldenburg may publish in the future.
Co-authors
The 18 scholars most cited alongside Lukas Oldenburg, 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 | Towards a general-purpose foundation model for computational pathology Hit paper breakdown → | 2024 | 437 |
| 2 | 2024 | 14 |
About Lukas Oldenburg
Lukas Oldenburg is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Biophysics and Infectious Diseases, having authored 2 papers that have together received 451 indexed citations. Recurring topics across this work include AI in cancer detection (2 papers), Biomedical Text Mining and Ontologies (1 paper), Cell Image Analysis Techniques (1 paper), Gene expression and cancer classification (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Health Informatics (34 citations), Artificial Intelligence (228 citations), Radiology, Nuclear Medicine and Imaging (133 citations), Biophysics (37 citations) and Computer Vision and Pattern Recognition (70 citations). Lukas Oldenburg has collaborated with scholars based in United States. Frequent co-authors include Richard J. Chen, Anurag Vaidya, Andrew H. Song, Faisal Mahmood, Drew F. K. Williamson, Guillaume Jaume, Judy J. Wang, Long P. Le, Georg K. Gerber and Mane Williams. Their work appears in journals such as Nature Medicine.
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.