Jörg Stappert
Impact in
- Molecular Biology top 2%
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Kruppel-like factors research
- Ubiquitin and proteasome pathways
- Developmental Biology and Gene Regulation
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ
- Skin and Cellular Biology Research
- Cellular Mechanics and Interactions
Papers in
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- Wnt/β-catenin signaling in development and cancer 13
- Cancer-related gene regulation 8
- Kruppel-like factors research 3
- Ubiquitin and proteasome pathways 1
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- Skin and Cellular Biology Research 4
- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- Andreas Bauer (4 shared papers)Hermann Aberle (2 shared papers)Andreas Kispert (2 shared papers)Rolf Kemler (1 shared paper)Rolf Kemler (12 shared papers)Stefan Butz (4 shared papers)Helge Weissig (4 shared papers)Heinz Hoschuetzky (1 shared paper)
In The Last Decade
Jörg Stappert
15 papers receiving 3.8k citations
Jörg Stappert's Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 3.3k
- Cell Biology 728
- Immunology and Allergy 144
- Oncology 416
- Cellular and Molecular Neuroscience 224
Countries citing papers authored by Jörg Stappert
This map shows the geographic impact of Jörg Stappert'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 Jörg Stappert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Stappert more than expected).
Fields of papers citing papers by Jörg Stappert
This network shows the impact of papers produced by Jörg Stappert. 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 Jörg Stappert. The network helps show where Jörg Stappert may publish in the future.
Co-authors
The 19 scholars most cited alongside Jörg Stappert, 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 | β‐catenin is a target for the ubiquitin–proteasome pathway Hit paper breakdown → | 1997 | 2229 |
| 2 | 1994 | 475 | |
| 3 | 1995 | 309 | |
| 4 | 2000 | 245 | |
| 5 | 1994 | 204 | |
| 6 | 2000 | 175 | |
| 7 | 2000 | 61 | |
| 8 | 1992 | 60 | |
| 9 | 1998 | 45 | |
| 10 | 1993 | 23 | |
| 11 | 1992 | 21 | |
| 12 | 1999 | 10 | |
| 13 | 1992 | 2 | |
| 14 | 1992 | 1 | |
| 15 | 1992 | 1 |
About Jörg Stappert
Jörg Stappert is a scholar working on Molecular Biology, Cell Biology, Oncology, Genetics and Immunology and Allergy, having authored 15 papers that have together received 3.9k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (13 papers), Cancer-related gene regulation (8 papers), Skin and Cellular Biology Research (4 papers), Kruppel-like factors research (3 papers), HER2/EGFR in Cancer Research (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Cell Adhesion Molecules Research (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Molecular Biology (3.3k citations), Cell Biology (728 citations), Immunology and Allergy (144 citations), Oncology (416 citations) and Cellular and Molecular Neuroscience (224 citations). Jörg Stappert has collaborated with scholars based in Germany and France. Frequent co-authors include Andreas Bauer, Hermann Aberle, Andreas Kispert, Rolf Kemler, Rolf Kemler, Stefan Butz, Helge Weissig, Heinz Hoschuetzky, Heiko Lickert and Tzuu‐Shuh Jou. Their work appears in journals such as Science, Journal of Biological Chemistry, The EMBO Journal, Nucleic Acids Research and Mechanisms of Development.
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.