Pilar Frontelo

464 citations
10 papers · 394 · h-index 7

Impact in

Papers in

    • TGF-β signaling in diseases 6
    • Kruppel-like factors research 2
    • Cancer-related gene regulation 2
    • Epigenetics and DNA Methylation 1
    • Cancer Cells and Metastasis 2
    • Pancreatic and Hepatic Oncology Research 1

Pilar Frontelo

10 papers receiving 383 citations

Peers

Pilar Frontelo
Comparison fields: 5 of 46
  • Cancer Research 79
  • Immunology and Allergy 27
  • Molecular Biology 305
  • Oncology 111
  • Genetics 39
Replace Lanshan Huang with:
Lanshan Huang China
Oleg Schmidt-Kittler United States
M Minischetti Italy
Takashi Ishigami Japan
Qiang Lan Finland
Hua Linghu China
Oshrat Attar‐Schneider Israel
Lisa Lock Canada
Silvia Vonlanthen Switzerland
Pilar Frontelo relative to Lanshan Huang China Lanshan Huang's profile →
Citations per field
00.5×
Lanshan Huang · 1×
Citations per year

Countries citing papers authored by Pilar Frontelo

Since Specialization
Citations

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

Fields of papers citing papers by Pilar Frontelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Pilar Frontelo, 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 Pilar Frontelo Line = papers co-authored together Pilar Frontelo links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2007103
2
Chronic exposure of cultured transformed mouse epidermal cells to transforming growth factor-beta 1 induces an epithelial-mesenchymal transdifferentiation and a spindle tumoral phenotype.
199596
3 200065
4 200052
5 199827
6 199927
7 200421
8 20001
9
TGF-β signaling and epidermal carcinogenesis
20031
10 19991

About Pilar Frontelo

Pilar Frontelo is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Genetics, having authored 10 papers that have together received 394 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (6 papers), Kruppel-like factors research (2 papers), Cancer Cells and Metastasis (2 papers), Cancer-related gene regulation (2 papers), Protease and Inhibitor Mechanisms (2 papers), Epigenetics and DNA Methylation (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Cancer Research (79 citations), Immunology and Allergy (27 citations), Molecular Biology (305 citations), Oncology (111 citations) and Genetics (39 citations). Pilar Frontelo has collaborated with scholars based in Spain, United States and Chile. Frequent co-authors include Miguel Quintanilla, Carlos Gamallo, Maite Iglesias, Carlos Caulı́n, Francisco G. Scholl, Deepa Manwani, Patrick G. Gallagher, Holger Karsunky, James J. Bieker and Felix Lohmann. Their work appears in journals such as Journal of Cellular Biochemistry, Oncogene, Biochemical and Biophysical Research Communications, Blood and Experimental Cell 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.

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