Pilar Frontelo

464 total citations
10 papers, 392 citations indexed

About

Pilar Frontelo is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Pilar Frontelo has authored 10 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Pilar Frontelo's work include TGF-β signaling in diseases (6 papers), Protease and Inhibitor Mechanisms (2 papers) and Cancer-related gene regulation (2 papers). Pilar Frontelo is often cited by papers focused on TGF-β signaling in diseases (6 papers), Protease and Inhibitor Mechanisms (2 papers) and Cancer-related gene regulation (2 papers). Pilar Frontelo collaborates with scholars based in Spain, Chile and United States. Pilar Frontelo's co-authors include Miguel Quintanilla, Carlos Gamallo, Maite Iglesias, Carlos Caulı́n, Francisco G. Scholl, Deepa Manwani, Felix Lohmann, James J. Bieker, Patrick G. Gallagher and Holger Karsunky and has published in prestigious journals such as Blood, Oncogene and Biochemical and Biophysical Research Communications.

In The Last Decade

Pilar Frontelo

10 papers receiving 381 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pilar Frontelo Spain 7 311 118 83 43 42 10 392
Silvia Vonlanthen Switzerland 8 428 1.4× 288 2.4× 87 1.0× 28 0.7× 24 0.6× 11 563
Mathew W. Ludgate New Zealand 5 119 0.4× 142 1.2× 42 0.5× 32 0.7× 34 0.8× 5 338
Alma Jenkins United Kingdom 10 405 1.3× 179 1.5× 83 1.0× 39 0.9× 17 0.4× 10 493
Naoto Nakamichi Japan 12 173 0.6× 97 0.8× 52 0.6× 16 0.4× 48 1.1× 22 366
Oleg Schmidt-Kittler United States 7 152 0.5× 89 0.8× 62 0.7× 24 0.6× 51 1.2× 10 364
Sherif Ibrahim United States 6 328 1.1× 97 0.8× 88 1.1× 35 0.8× 42 1.0× 6 459
M Minischetti Italy 5 216 0.7× 99 0.8× 59 0.7× 32 0.7× 56 1.3× 6 374
Özge Alper United States 9 200 0.6× 180 1.5× 41 0.5× 28 0.7× 27 0.6× 12 365
Ulf Klangby Sweden 8 290 0.9× 213 1.8× 79 1.0× 18 0.4× 142 3.4× 8 458
Lisa Lock Canada 5 319 1.0× 80 0.7× 36 0.4× 58 1.3× 17 0.4× 5 405

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-authorship network of co-authors of Pilar Frontelo

This figure shows the co-authorship network connecting the top 25 collaborators of Pilar Frontelo. A scholar is included among the top collaborators of Pilar Frontelo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pilar Frontelo. Pilar Frontelo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Frontelo, Pilar, Deepa Manwani, Holger Karsunky, et al.. (2007). Novel role for EKLF in megakaryocyte lineage commitment. Blood. 110(12). 3871–3880. 101 indexed citations
2.
Frontelo, Pilar, et al.. (2004). Suv39h histone methyltransferases interact with Smads and cooperate in BMP-induced repression. Oncogene. 23(30). 5242–5251. 21 indexed citations
3.
Quintanilla, Miguel, et al.. (2003). TGF-β signaling and epidermal carcinogenesis. Deposito Digital UFV (Francisco de Vitoria University). 1 indexed citations
4.
5.
Santibáñez, Juan F., Maite Iglesias, Pilar Frontelo, Jorge Martı́nez, & Miguel Quintanilla. (2000). Involvement of the Ras/MAPK Signaling Pathway in the Modulation of Urokinase Production and Cellular Invasiveness by Transforming Growth Factor-β1 in Transformed Keratinocytes. Biochemical and Biophysical Research Communications. 273(2). 521–527. 52 indexed citations
6.
Quintanilla, Miguel, et al.. (2000). Signaling during mouse skin tumor progression. 6(1). 12–12. 1 indexed citations
8.
Santibáñez, Juan F., Pilar Frontelo, Maite Iglesias, Jorge Martı́nez, & Miguel Quintanilla. (1999). Urokinase expression and binding activity associated with the transforming growth factor β1‐induced migratory and invasive phenotype of mouse epidermal keratinocytes. Journal of Cellular Biochemistry. 74(1). 61–73. 1 indexed citations
9.
Frontelo, Pilar, et al.. (1998). Transforming Growth Factor β1Induces Squamous Carcinoma Cell Variants with Increased Metastatic Abilities and a Disorganized Cytoskeleton. Experimental Cell Research. 244(2). 420–432. 27 indexed citations
10.
Caulı́n, Carlos, Francisco G. Scholl, Pilar Frontelo, Carlos Gamallo, & Miguel Quintanilla. (1995). Chronic exposure of cultured transformed mouse epidermal cells to transforming growth factor-beta 1 induces an epithelial-mesenchymal transdifferentiation and a spindle tumoral phenotype.. PubMed. 6(8). 1027–35. 96 indexed citations

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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