Stella Weidauer
Impact in
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- Bone health and osteoporosis research
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- Bone Metabolism and Diseases
- TGF-β signaling in diseases
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Connective Tissue Growth Factor Research
Papers in
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- Wnt/β-catenin signaling in development and cancer 5
- TGF-β signaling in diseases 3
- Bone Metabolism and Diseases 2
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- Platelet Disorders and Treatments 2
- Co-authors
- Thomas D. Mueller (8 shared papers)Peter ten Dijke (3 shared papers)David J. J. de Gorter (2 shared papers)Jin-Li Zhang (2 shared papers)Walter Sebald (2 shared papers)Liyan Qiu (2 shared papers)Karien E. de Rooij (1 shared paper)Aris N. Economides (1 shared paper)
- Journals
- PLoS ONE (2 papers)Developmental Cell (1 paper)Human Mutation (1 paper)Biochemical and Biophysical Research Communications (1 paper)Molecules (1 paper)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Stella Weidauer
8 papers receiving 456 citations
Peers
Comparison fields: 5 of 54
- Orthopedics and Sports Medicine 85
- Molecular Biology 331
- Oncology 105
- Genetics 28
- Genetics 72
Countries citing papers authored by Stella Weidauer
This map shows the geographic impact of Stella Weidauer'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 Stella Weidauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stella Weidauer more than expected).
Fields of papers citing papers by Stella Weidauer
This network shows the impact of papers produced by Stella Weidauer. 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 Stella Weidauer. The network helps show where Stella Weidauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Stella Weidauer, 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 | 2010 | 146 | |
| 2 | 2008 | 101 | |
| 3 | 2009 | 62 | |
| 4 | 2013 | 55 | |
| 5 | 2010 | 49 | |
| 6 | 2013 | 26 | |
| 7 | 2016 | 11 | |
| 8 | 2013 | 10 |
About Stella Weidauer
Stella Weidauer is a scholar working on Molecular Biology, Hematology, Cell Biology, Genetics and Immunology and Allergy, having authored 8 papers that have together received 460 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (5 papers), TGF-β signaling in diseases (3 papers), Cell Adhesion Molecules Research (2 papers), Bone Metabolism and Diseases (2 papers), Platelet Disorders and Treatments (2 papers), Connective tissue disorders research (2 papers), Skin and Cellular Biology Research (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (85 citations), Molecular Biology (331 citations), Oncology (105 citations), Genetics (28 citations) and Genetics (72 citations). Stella Weidauer has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Thomas D. Mueller, Peter ten Dijke, David J. J. de Gorter, Jin-Li Zhang, Walter Sebald, Liyan Qiu, Karien E. de Rooij, Aris N. Economides, Carola Krause and Clemens W.G.M. Löwik. Their work appears in journals such as PLoS ONE, Developmental Cell, Human Mutation, Biochemical and Biophysical Research Communications and Molecules.
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.