Beatriz Gámez

910 citations
14 papers · 744 · h-index 12

Impact in

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

Papers in

Beatriz Gámez

14 papers receiving 738 citations

Peers

Beatriz Gámez
Comparison fields: 5 of 84
  • Cancer Research 149
  • Genetics 73
  • Orthopedics and Sports Medicine 57
  • Rheumatology 80
  • Molecular Biology 386
Replace Naomi Dirckx with:
Naomi Dirckx United States
Vincent Kuek Australia
David E. Maridas United States
Guangxu He China
Masashi Shin Japan
Gwan-Shik Kim South Korea
Yougen Xi United States
Yasuhito Yahara Japan
Ryotaro Iwasaki Japan
Beatriz Gámez relative to Naomi Dirckx United States Naomi Dirckx's profile →
Citations per field
00.5×2.5×
Naomi Dirckx · 1×
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

14 of 14 papers shown
#Work
1 2016265
2 201775
3 201370
4 201456
5 201754
6 201954
7 201347
8 201429
9 201626
10 201926
11 201515
12 201412
13 20188
14 20217

About Beatriz Gámez

Beatriz Gámez is a scholar working on Molecular Biology, Oncology, Genetics, Rheumatology and Cancer Research, having authored 14 papers that have together received 744 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (7 papers), Bone health and treatments (3 papers), TGF-β signaling in diseases (2 papers), MicroRNA in disease regulation (2 papers), Bone Tissue Engineering Materials (2 papers), Heterotopic Ossification and Related Conditions (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Biomarkers in Disease Mechanisms (1 paper). The work is most often cited by research in Cancer Research (149 citations), Genetics (73 citations), Orthopedics and Sports Medicine (57 citations), Rheumatology (80 citations) and Molecular Biology (386 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, Cristina Sánchez‐de‐Diego, José Antonio Valer, Claire M. Edwards and Gabriel Pons. Their work appears in journals such as PLoS ONE, Journal of Bone and Mineral Research, Tissue Engineering Part A, The FASEB Journal and Journal of Biological Chemistry.

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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