Ulrich A. Schatz
- Clinical Biochemistry top 10%
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- Skin and Cellular Biology Research 2
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- Amino Acid Enzymes and Metabolism 1
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- Glycosylation and Glycoproteins Research 1
- Mitochondrial Function and Pathology 1
- Biomedical Text Mining and Ontologies 1
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- Hair Growth and Disorders 2
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- Radiomics and Machine Learning in Medical Imaging 1
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- Genomics and Rare Diseases 1
- Co-authors
- Regina EnsenauerSabine Rudnik‐SchönebornJohannes ZschockeAnna SchossigAnia C. MuntauRobert GruberBurkhard SimmaFrans A. Kuypers
- Journals
- JDDG Journal der Deutschen Dermatologischen Gesellschaft (2 papers)Journal of Clinical Oncology (1 paper)The American Journal of Human Genetics (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Ulrich A. Schatz
14 papers receiving 145 citations
Peers
Comparison fields: 5 of 56
- Clinical Biochemistry 53
- Health Informatics 8
- Cell Biology 26
- Biochemistry 9
- Molecular Biology 80
Countries citing papers authored by Ulrich A. Schatz
This map shows the geographic impact of Ulrich A. Schatz'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 Ulrich A. Schatz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrich A. Schatz more than expected).
Fields of papers citing papers by Ulrich A. Schatz
This network shows the impact of papers produced by Ulrich A. Schatz. 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 Ulrich A. Schatz. The network helps show where Ulrich A. Schatz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ulrich A. Schatz, 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 | 2025 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 16 | |
| 4 | 2024 | 1 | |
| 5 | 2021 | 11 | |
| 6 | 2020 | 8 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 4 | |
| 9 | 2019 | 10 | |
| 10 | 2018 | 11 | |
| 11 | 2018 | 3 | |
| 12 | 2018 | 11 | |
| 13 | 2010 | 54 | |
| 14 | 2008 | 7 |
About Ulrich A. Schatz
Ulrich A. Schatz is a scholar working on Health Informatics, Family Practice, Urology, Cell Biology and Immunology and Allergy, having authored 14 papers that have together received 149 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (2 papers), Hair Growth and Disorders (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Amino Acid Enzymes and Metabolism (1 paper), Glycosylation and Glycoproteins Research (1 paper), Genomics and Rare Diseases (1 paper), Mitochondrial Function and Pathology (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Clinical Biochemistry (53 citations), Health Informatics (8 citations), Cell Biology (26 citations), Biochemistry (9 citations) and Molecular Biology (80 citations). Ulrich A. Schatz has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Regina Ensenauer, Sabine Rudnik‐Schöneborn, Johannes Zschocke, Anna Schossig, Ania C. Muntau, Robert Gruber, Burkhard Simma, Frans A. Kuypers, Verena Moosbrugger‐Martinz and Eric Soupène. Their work appears in journals such as JDDG Journal der Deutschen Dermatologischen Gesellschaft, Journal of Clinical Oncology, The American Journal of Human Genetics, npj Digital Medicine and Journal of Inherited Metabolic Disease.
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.