Miriam Buck
Impact in
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- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- TGF-β signaling in diseases 8
- Bone Metabolism and Diseases 2
- Metabolism, Diabetes, and Cancer 2
- Genetics 5
- Estrogen and related hormone effects 5
- Co-authors
- Cornelius Knabbe (14 shared papers)Klaus Pfizenmaier (3 shared papers)Juergen Dippon (2 shared papers)Gerhard Zugmaier (3 shared papers)Simone L. Popp (5 shared papers)Matthias B. Stope (5 shared papers)Péter Fritz (1 shared paper)Péter Fritz (4 shared papers)
In The Last Decade
Miriam Buck
17 papers receiving 541 citations
Peers
Comparison fields: 5 of 70
- Oncology 174
- Cancer Research 79
- Molecular Biology 340
- Immunology and Allergy 22
- Pathology and Forensic Medicine 56
Countries citing papers authored by Miriam Buck
This map shows the geographic impact of Miriam Buck'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 Miriam Buck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Buck more than expected).
Fields of papers citing papers by Miriam Buck
This network shows the impact of papers produced by Miriam Buck. 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 Miriam Buck. The network helps show where Miriam Buck may publish in the future.
Co-authors
The 25 scholars most cited alongside Miriam Buck, 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 | 2006 | 119 | |
| 2 | 2004 | 84 | |
| 3 | 2010 | 65 | |
| 4 | 2002 | 56 | |
| 5 | 2006 | 40 | |
| 6 | 2004 | 39 | |
| 7 | 2006 | 36 | |
| 8 | 2000 | 27 | |
| 9 | 2009 | 26 | |
| 10 | 2007 | 21 | |
| 11 | 2003 | 11 | |
| 12 | 2010 | 6 | |
| 13 | Antiestrogens suppress effects of transforming growth factor-β in breast cancer cells via the signaling axis estrogen receptor-α and Y-box Binding Protein-1. | 2013 | 5 |
| 14 | 2017 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 1999 | 2 |
About Miriam Buck
Miriam Buck is a scholar working on Molecular Biology, Genetics, Oncology, Applied Mathematics and Mathematical Physics, having authored 17 papers that have together received 547 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (8 papers), Estrogen and related hormone effects (5 papers), Bone Metabolism and Diseases (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Navier-Stokes equation solutions (2 papers), Pesticide and Herbicide Environmental Studies (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Oncology (174 citations), Cancer Research (79 citations), Molecular Biology (340 citations), Immunology and Allergy (22 citations) and Pathology and Forensic Medicine (56 citations). Miriam Buck has collaborated with scholars based in Germany, Italy and Australia. Frequent co-authors include Cornelius Knabbe, Klaus Pfizenmaier, Juergen Dippon, Gerhard Zugmaier, Simone L. Popp, Matthias B. Stope, Péter Fritz, Péter Fritz, Christina H. Stuelten and Anita B. Roberts. Their work appears in journals such as Breast Cancer Research and Treatment, Cancer Research, Anticancer Research, BMC Cancer and Clinical Cancer Research.
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.