Laia Rosich

20 papers and 683 indexed citations i.

About

Laia Rosich is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Laia Rosich has authored 20 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 10 papers in Molecular Biology and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Laia Rosich’s work include Chronic Lymphocytic Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (10 papers) and Ubiquitin and proteasome pathways (5 papers). Laia Rosich is often cited by papers focused on Chronic Lymphocytic Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (10 papers) and Ubiquitin and proteasome pathways (5 papers). Laia Rosich collaborates with scholars based in Spain, Germany and United States. Laia Rosich's co-authors include Fèlix Bosch, Dolors Colomer, Mònica López‐Guerra, Elı́as Campo, Gaël Roué, Sílvia Xargay‐Torrent, Patricia Pérez‐Galán, Ifigènia Saborit-Villarroya, Arnau Montraveta and Neus Villamor and has published in prestigious journals such as Blood, Oncogene and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Laia Rosich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laia Rosich

Since Specialization
Citations

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