Babette Schade
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
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- Fungal and yeast genetics research
- PI3K/AKT/mTOR signaling in cancer
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- PI3K/AKT/mTOR signaling in cancer 3
- Wnt/β-catenin signaling in development and cancer 2
- Fungal and yeast genetics research 2
- Signaling Pathways in Disease 1
- Kruppel-like factors research 1
- Oncology 7
- HER2/EGFR in Cancer Research 6
- Co-authors
- William J. Muller (8 shared papers)Robert D. Cardiff (5 shared papers)Gregor Jansen (3 shared papers)David Y. Thomas (3 shared papers)Malcolm Whiteway (2 shared papers)Josie Ursini‐Siegel (2 shared papers)Cunle Wu (1 shared paper)Michael Hallett (5 shared papers)
- Journals
- Cancer Research (4 papers)Molecular Biology of the Cell (1 paper)Molecular Cancer Therapeutics (1 paper)Gene (1 paper)Nature reviews. Cancer (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Babette Schade
12 papers receiving 858 citations
Peers
Comparison fields: 5 of 85
- Oncology 290
- Molecular Biology 612
- Cell Biology 107
- Immunology and Allergy 33
- Cancer Research 78
Countries citing papers authored by Babette Schade
This map shows the geographic impact of Babette Schade'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 Babette Schade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Babette Schade more than expected).
Fields of papers citing papers by Babette Schade
This network shows the impact of papers produced by Babette Schade. 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 Babette Schade. The network helps show where Babette Schade may publish in the future.
Co-authors
The 25 scholars most cited alongside Babette Schade, 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 | 2007 | 209 | |
| 2 | 2004 | 155 | |
| 3 | 2004 | 139 | |
| 4 | 2012 | 73 | |
| 5 | 2013 | 71 | |
| 6 | 2009 | 61 | |
| 7 | 2008 | 41 | |
| 8 | 2014 | 34 | |
| 9 | 2007 | 26 | |
| 10 | 2010 | 24 | |
| 11 | 2017 | 22 | |
| 12 | 1998 | 12 |
About Babette Schade
Babette Schade is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Immunology, having authored 12 papers that have together received 867 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cell Adhesion Molecules Research (2 papers), Fungal and yeast genetics research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Signaling Pathways in Disease (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Oncology (290 citations), Molecular Biology (612 citations), Cell Biology (107 citations), Immunology and Allergy (33 citations) and Cancer Research (78 citations). Babette Schade has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include William J. Muller, Robert D. Cardiff, Gregor Jansen, David Y. Thomas, Malcolm Whiteway, Josie Ursini‐Siegel, Cunle Wu, Michael Hallett, Robert Lesurf and Nathalie Dourdin. Their work appears in journals such as Cancer Research, Molecular Biology of the Cell, Molecular Cancer Therapeutics, Gene and Nature reviews. Cancer.
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.