Laia Caja

2.6k total citations
39 papers, 1.9k citations indexed

About

Laia Caja is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Laia Caja has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 20 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Laia Caja's work include TGF-β signaling in diseases (10 papers), Cancer Cells and Metastasis (10 papers) and Liver physiology and pathology (6 papers). Laia Caja is often cited by papers focused on TGF-β signaling in diseases (10 papers), Cancer Cells and Metastasis (10 papers) and Liver physiology and pathology (6 papers). Laia Caja collaborates with scholars based in Sweden, Spain and United States. Laia Caja's co-authors include Isabel Fabregat, Aristidis Moustakas, Patricia Sancho, Esther Bertrán, Claudia Bellomo, Nelson Fausto, Francesco Dituri, Serena Mancarella, Gianluigi Giannelli and Daniel Caballero‐Díaz and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Laia Caja

39 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laia Caja Sweden 23 1.1k 744 434 347 281 39 1.9k
Eunice Y. Lau Hong Kong 20 1.1k 1.0× 624 0.8× 755 1.7× 397 1.1× 254 0.9× 37 2.0k
Esther Bertrán Spain 24 1.5k 1.3× 681 0.9× 473 1.1× 308 0.9× 398 1.4× 43 2.3k
Yuquan Xiong United States 16 1.1k 1.0× 520 0.7× 442 1.0× 657 1.9× 237 0.8× 20 1.9k
Franziska van Zijl Austria 11 824 0.7× 604 0.8× 371 0.9× 193 0.6× 231 0.8× 13 1.6k
Francesco Dituri Italy 23 1.4k 1.3× 788 1.1× 692 1.6× 337 1.0× 474 1.7× 62 2.5k
Juanjuan Shan China 24 1.4k 1.3× 635 0.9× 735 1.7× 208 0.6× 191 0.7× 41 2.1k
Janelle Simon United States 11 993 0.9× 727 1.0× 379 0.9× 504 1.5× 114 0.4× 13 2.0k
Kwan Ho Tang Hong Kong 14 1.5k 1.4× 1.3k 1.7× 870 2.0× 387 1.1× 330 1.2× 20 2.4k
Mario Mikula Austria 24 1.8k 1.7× 965 1.3× 633 1.5× 227 0.7× 245 0.9× 53 2.7k
Ray Somcio United States 17 1.3k 1.1× 1.0k 1.4× 671 1.5× 147 0.4× 208 0.7× 23 2.0k

Countries citing papers authored by Laia Caja

Since Specialization
Citations

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

Fields of papers citing papers by Laia Caja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laia Caja

This figure shows the co-authorship network connecting the top 25 collaborators of Laia Caja. A scholar is included among the top collaborators of Laia Caja 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 Laia Caja. Laia Caja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tzavlaki, Kalliopi, Anita Morén, Yukihide Watanabe, et al.. (2023). The liver kinase B1 supports mammary epithelial morphogenesis by inhibiting critical factors that mediate epithelial‐mesenchymal transition. Journal of Cellular Physiology. 238(4). 790–812. 1 indexed citations
2.
Papoutsoglou, Panagiotis, et al.. (2023). The long non-coding RNA LINC00707 interacts with Smad proteins to regulate TGFβ signaling and cancer cell invasion. Cell Communication and Signaling. 21(1). 271–271. 10 indexed citations
3.
Caja, Laia, et al.. (2022). Metabolic determinants of stemness in medulloblastoma. World Journal of Stem Cells. 14(8). 587–598. 3 indexed citations
4.
Raminelli, Cristiano, et al.. (2022). Aporphine and isoquinoline derivatives block glioblastoma cell stemness and enhance temozolomide cytotoxicity. Scientific Reports. 12(1). 21113–21113. 4 indexed citations
5.
Caja, Laia, Artur Mezheyeuski, Sijia Liu, et al.. (2021). The polarity protein Par3 coordinates positively self-renewal and negatively invasiveness in glioblastoma. Cell Death and Disease. 12(10). 932–932. 4 indexed citations
6.
Papoutsoglou, Panagiotis, Anita Morén, Fredrik Pontén, et al.. (2021). The noncoding MIR100HG RNA enhances the autocrine function of transforming growth factor β signaling. Oncogene. 40(21). 3748–3765. 18 indexed citations
7.
Chisari, A., et al.. (2021). Glucose and Amino Acid Metabolic Dependencies Linked to Stemness and Metastasis in Different Aggressive Cancer Types. Frontiers in Pharmacology. 12. 723798–723798. 21 indexed citations
8.
Papoutsoglou, Panagiotis, Laia Caja, Anita Morén, et al.. (2019). The TGFB2-AS1 lncRNA Regulates TGF-β Signaling by Modulating Corepressor Activity. Cell Reports. 28(12). 3182–3198.e11. 27 indexed citations
9.
Bellomo, Claudia, Laia Caja, Isabel Fabregat, et al.. (2017). Snail mediates crosstalk between TGFβ and LXRα in hepatocellular carcinoma. Cell Death and Differentiation. 25(5). 885–903. 34 indexed citations
10.
Bellomo, Claudia, Laia Caja, & Aristidis Moustakas. (2016). Transforming growth factor β as regulator of cancer stemness and metastasis. British Journal of Cancer. 115(7). 761–769. 180 indexed citations
11.
Caja, Laia, Claudia Bellomo, & Aristidis Moustakas. (2015). Transforming growth factor β and bone morphogenetic protein actions in brain tumors. FEBS Letters. 589(14). 1588–1597. 35 indexed citations
12.
Coppotelli, Giuseppe, Simone Callegari, Ramakrishna Sompallae, et al.. (2013). The Epstein–Barr virus nuclear antigen-1 reprograms transcription by mimicry of high mobility group A proteins. Nucleic Acids Research. 41(5). 2950–2962. 35 indexed citations
13.
Tan, E‐Jean, Sylvie Thuault, Laia Caja, et al.. (2012). Regulation of Transcription Factor Twist Expression by the DNA Architectural Protein High Mobility Group A2 during Epithelial-to-Mesenchymal Transition. Journal of Biological Chemistry. 287(10). 7134–7145. 97 indexed citations
14.
Caja, Laia, Kaoru Kahata, & Aristidis Moustakas. (2012). Context-dependent Action of Transforming Growth Factor β Family Members on Normal and Cancer Stem Cells. Current Pharmaceutical Design. 18(27). 4072–4086. 20 indexed citations
15.
Caja, Laia, Esther Bertrán, Jean S. Campbell, Nelson Fausto, & Isabel Fabregat. (2010). The transforming growth factor‐beta (TGF‐β) mediates acquisition of a mesenchymal stem cell‐like phenotype in human liver cells. Journal of Cellular Physiology. 226(5). 1214–1223. 89 indexed citations
16.
Caja, Laia, Patricia Sancho, Esther Bertrán, & Isabel Fabregat. (2010). Dissecting the effect of targeting the epidermal growth factor receptor on TGF-β-induced-apoptosis in human hepatocellular carcinoma cells. Journal of Hepatology. 55(2). 351–358. 49 indexed citations
17.
Caja, Laia, Patricia Sancho, Esther Bertrán, et al.. (2009). Overactivation of the MEK/ERK Pathway in Liver Tumor Cells Confers Resistance to TGF-β–Induced Cell Death through Impairing Up-regulation of the NADPH Oxidase NOX4. Cancer Research. 69(19). 7595–7602. 99 indexed citations
18.
Bertrán, Esther, Laia Caja, Estanis Navarro, et al.. (2009). Role of CXCR4/SDF-1α in the migratory phenotype of hepatoma cells that have undergone epithelial–mesenchymal transition in response to the transforming growth factor-β. Cellular Signalling. 21(11). 1595–1606. 62 indexed citations
19.
20.

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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