Miriam Buck

656 citations
17 papers · 544 · h-index 11

Impact in

    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • TGF-β signaling in diseases 10
    • Bone Metabolism and Diseases 3
    • Metabolism, Diabetes, and Cancer 2
    • Estrogen and related hormone effects 6

Miriam Buck

17 papers receiving 537 citations

Peers

Miriam Buck
Comparison fields: 5 of 75
  • Oncology 205
  • Cancer Research 98
  • Molecular Biology 382
  • Pathology and Forensic Medicine 78
  • Immunology and Allergy 25
Replace María C. Díaz Flaqué with:
María C. Díaz Flaqué Argentina
Akira Junicho Japan
Elena Caretti United States
J Wojcierowski Poland
Isabel Conde Spain
Sonia Godoy‐Tundidor Austria
Charlotte Andrieu France
Mitsuhiro Hishida Japan
Aisling M. Redmond United Kingdom
Kinga A. Kocemba‐Pilarczyk Poland
Miriam Buck relative to María C. Díaz Flaqué Argentina María C. Díaz Flaqué's profile →
Citations per field
00.5×1.6×
María C. Díaz Flaqué · 1×
Citations per year

Countries citing papers authored by Miriam Buck

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Miriam Buck Line = papers co-authored together Miriam Buck links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2006117
2 200484
3 201065
4 200256
5 200640
6 200439
7 200636
8 200027
9 200926
10 200721
11 200311
12 20106
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.
20135
14 20175
15 20242
16 19992
17 20232

About Miriam Buck

Miriam Buck is a scholar working on Molecular Biology, Genetics, Oncology, Pathology and Forensic Medicine and Applied Mathematics, having authored 17 papers that have together received 544 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (10 papers), Estrogen and related hormone effects (6 papers), Genetic factors in colorectal cancer (3 papers), Bone Metabolism and Diseases (3 papers), Navier-Stokes equation solutions (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Oncology (205 citations), Cancer Research (98 citations), Molecular Biology (382 citations), Pathology and Forensic Medicine (78 citations) and Immunology and Allergy (25 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 Cancer Research, Breast Cancer Research and Treatment, Anticancer Research, Clinical Cancer Research and Canadian Journal of Microbiology.

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.

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