Stephan Duss
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
-
- Gene expression and cancer classification 3
- Wnt/β-catenin signaling in development and cancer 2
- Oncology 9
- Cancer Cells and Metastasis 4
- HER2/EGFR in Cancer Research 4
- Co-authors
- Cathrin Brisken (4 shared papers)Hervé Bonnefoi (3 shared papers)Richard Iggo (3 shared papers)Maryse Fiche (3 shared papers)Denis Larsimont (2 shared papers)Pierre Farmer (2 shared papers)Daniel R. Goldstein (2 shared papers)David Cameron (2 shared papers)
- Journals
- Breast Cancer Research (5 papers)Cancer Research (3 papers)Oncogene (2 papers)Annals of the New York Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Stephan Duss
13 papers receiving 1.3k citations
Stephan Duss's Hit Papers
Peers
Comparison fields: 5 of 79
- Cancer Research 520
- Oncology 682
- Molecular Biology 669
- Dermatology 76
- Genetics 226
Countries citing papers authored by Stephan Duss
This map shows the geographic impact of Stephan Duss'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 Stephan Duss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Duss more than expected).
Fields of papers citing papers by Stephan Duss
This network shows the impact of papers produced by Stephan Duss. 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 Stephan Duss. The network helps show where Stephan Duss may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Duss, 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 | Identification of molecular apocrine breast tumours by microarray analysis Hit paper breakdown → | 2005 | 585 |
| 2 | 2005 | 259 | |
| 3 | 2013 | 76 | |
| 4 | 2007 | 73 | |
| 5 | 2013 | 52 | |
| 6 | 2012 | 46 | |
| 7 | 2003 | 44 | |
| 8 | 2009 | 44 | |
| 9 | 2007 | 44 | |
| 10 | 2013 | 40 | |
| 11 | 2012 | 33 | |
| 12 | 2014 | 15 | |
| 13 | 2016 | 1 |
About Stephan Duss
Stephan Duss is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Cell Biology and Pathology and Forensic Medicine, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), HER2/EGFR in Cancer Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Gene expression and cancer classification (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cell Adhesion Molecules Research (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Cancer Research (520 citations), Oncology (682 citations), Molecular Biology (669 citations), Dermatology (76 citations) and Genetics (226 citations). Stephan Duss has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Cathrin Brisken, Hervé Bonnefoi, Richard Iggo, Maryse Fiche, Denis Larsimont, Pierre Farmer, Daniel R. Goldstein, David Cameron, Mauro Delorenzi and Gaëtan MacGrogan. Their work appears in journals such as Breast Cancer Research, Cancer Research, Oncogene, Annals of the New York Academy of Sciences and Journal of Biological Chemistry.
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.