Laia Caja

38 papers and 1.9k indexed citations i.

About

Laia Caja is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Laia Caja has authored 38 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 19 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 (9 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 (9 papers) and Liver physiology and pathology (6 papers). Laia Caja collaborates with scholars based in Spain, Sweden 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, Daniel Caballero‐Díaz and Gianluigi Giannelli and has published in prestigious journals such as Angewandte Chemie International Edition, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Laia Caja i

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.

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).

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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2025