Wiebke Schormann
- Hepatology top 1%
- Liver physiology and pathology 10
- Genetics top 5%
- Oncology top 10%
- HER2/EGFR in Cancer Research 4
- Cancer Cells and Metastasis 3
- Cancer Research top 10%
- Surgery top 5%
- Pancreatic function and diabetes 4
-
- Enzyme-mediated dye degradation 5
-
- Monoclonal and Polyclonal Antibodies Research 4
-
- Cell Adhesion Molecules Research 4
-
- Biochemical and biochemical processes 3
- Co-authors
- Jan G. HengstlerMarc BrulportMatthias HermesAlexander BauerCarsten MaiWolfgang E. FleigBruno ChristAndreas K. Nüssler
- Cited by
- HepatologyGeneticsOncology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Wiebke Schormann
39 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 128
- Hepatology 595
- Genetics 270
- Oncology 374
- Cancer Research 203
- Surgery 578
Countries citing papers authored by Wiebke Schormann
This map shows the geographic impact of Wiebke Schormann'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 Wiebke Schormann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wiebke Schormann more than expected).
Fields of papers citing papers by Wiebke Schormann
This network shows the impact of papers produced by Wiebke Schormann. 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 Wiebke Schormann. The network helps show where Wiebke Schormann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wiebke Schormann, 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 | 2024 | 2 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 14 | |
| 4 | The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers | 2019 | 1 |
| 5 | 2019 | 5 | |
| 6 | 2010 | 215 | |
| 7 | 2010 | 143 | |
| 8 | 2010 | 29 | |
| 9 | 2010 | 52 | |
| 10 | 2010 | 76 | |
| 11 | 2009 | 27 | |
| 12 | 2008 | 36 | |
| 13 | 2008 | 32 | |
| 14 | 2007 | 65 | |
| 15 | 2006 | 260 | |
| 16 | 2006 | 151 | |
| 17 | 2005 | 137 | |
| 18 | 2004 | 30 | |
| 19 | 2004 | 29 | |
| 20 | 2001 | 11 |
About Wiebke Schormann
Wiebke Schormann is a scholar working on Hepatology, Immunology and Allergy and Biotechnology, having authored 39 papers that have together received 2.0k indexed citations. Recurring topics across this work include Liver physiology and pathology (10 papers), Enzyme-mediated dye degradation (5 papers), HER2/EGFR in Cancer Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cell Adhesion Molecules Research (4 papers), Pancreatic function and diabetes (4 papers), Biochemical and biochemical processes (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Hepatology (595 citations), Genetics (270 citations) and Oncology (374 citations). Wiebke Schormann has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Jan G. Hengstler, Marc Brulport, Matthias Hermes, Alexander Bauer, Carsten Mai, Wolfgang E. Fleig, Bruno Christ, Andreas K. Nüssler, I Aurich and Matthias Dollinger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.