Fernando Laso-García

28 papers and 639 indexed citations i.

About

Fernando Laso-García is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Fernando Laso-García has authored 28 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Neurology and 7 papers in Genetics. Recurrent topics in Fernando Laso-García’s work include Extracellular vesicles in disease (15 papers), Mesenchymal stem cell research (7 papers) and Acute Ischemic Stroke Management (5 papers). Fernando Laso-García is often cited by papers focused on Extracellular vesicles in disease (15 papers), Mesenchymal stem cell research (7 papers) and Acute Ischemic Stroke Management (5 papers). Fernando Laso-García collaborates with scholars based in Spain, Finland and France. Fernando Laso-García's co-authors include Exuperio Díez‐Tejedor, Laura Otero‐Ortega, María Gutiérrez‐Fernández, Blanca Fuentes, Berta Rodríguez‐Frutos, Míriam Mecha, Ana Feliú, Francisco Carrillo‐Salinas, Jaime Ramos‐Cejudo and Carmen Guaza and has published in prestigious journals such as PLoS ONE, Stroke and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Fernando Laso-García i

Fields of papers citing papers by Fernando Laso-García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Laso-García. 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 Fernando Laso-García. The network helps show where Fernando Laso-García may publish in the future.

Countries citing papers authored by Fernando Laso-García

Since Specialization
Citations

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