Beatriz Gámez

815 citations
13 papers · 685 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Bone Metabolism and Diseases 7
    • TGF-β signaling in diseases 2
    • Metabolism, Diabetes, and Cancer 1
    • Bone health and treatments 5

Beatriz Gámez

13 papers receiving 679 citations

Peers

Beatriz Gámez
Comparison fields: 5 of 80
  • Cancer Research 166
  • Genetics 80
  • Orthopedics and Sports Medicine 64
  • Molecular Biology 408
  • Rheumatology 84
Replace Vincent Kuek with:
Vincent Kuek Australia
Naomi Dirckx United States
Mattabhorn Phimphilai Thailand
Masashi Shin Japan
Kumiko Kida Japan
Gwan-Shik Kim South Korea
Fumitaka Ichida Japan
Quitterie C. Larrouture United States
Ryotaro Iwasaki Japan
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Citations per field
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Citations per year

Countries citing papers authored by Beatriz Gámez

Since Specialization
Citations

This map shows the geographic impact of Beatriz Gámez'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 Beatriz Gámez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatriz Gámez more than expected).

Fields of papers citing papers by Beatriz Gámez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beatriz Gámez. 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 Beatriz Gámez. The network helps show where Beatriz Gámez may publish in the future.

Co-authors

The 25 scholars most cited alongside Beatriz Gámez, 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 Beatriz Gámez Line = papers co-authored together Beatriz Gámez links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2016260
2 201775
3 201370
4 201456
5 201753
6 201953
7 201429
8 201625
9 201924
10 201515
11 201412
12 20217
13 20186

About Beatriz Gámez

Beatriz Gámez is a scholar working on Molecular Biology, Oncology, Genetics, Rheumatology and Cancer Research, having authored 13 papers that have together received 685 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (7 papers), Bone health and treatments (5 papers), MicroRNA in disease regulation (2 papers), TGF-β signaling in diseases (2 papers), Heterotopic Ossification and Related Conditions (2 papers), Bone Tissue Engineering Materials (2 papers), Mesenchymal stem cell research (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Cancer Research (166 citations), Genetics (80 citations), Orthopedics and Sports Medicine (64 citations), Molecular Biology (408 citations) and Rheumatology (84 citations). Beatriz Gámez has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Francesc Ventura, Eddie Rodríguez-Carballo, José Luís Rosa, Natalia Artigas, Rubén Aquino-Martínez, Ramón Bartrons, José Antonio Valer, Cristina Sánchez‐de‐Diego, Claire M. Edwards and Monica Cubillos‐Rojas. Their work appears in journals such as Journal of Bone and Mineral Research, PLoS ONE, Translational Oncology, Journal of Molecular Endocrinology and Frontiers in Cell and Developmental Biology.

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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