Daniel Prieto

16 papers and 287 indexed citations i.

About

Daniel Prieto is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Daniel Prieto has authored 16 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 5 papers in Genetics. Recurrent topics in Daniel Prieto’s work include Chronic Lymphocytic Leukemia Research (5 papers), Molecular Biology Techniques and Applications (3 papers) and Galectins and Cancer Biology (3 papers). Daniel Prieto is often cited by papers focused on Chronic Lymphocytic Leukemia Research (5 papers), Molecular Biology Techniques and Applications (3 papers) and Galectins and Cancer Biology (3 papers). Daniel Prieto collaborates with scholars based in Uruguay, Chile and France. Daniel Prieto's co-authors include Flavio R. Zolessi, Pablo Elías Morande, Pablo Oppezzo, Cecilia Abreu, Ana Inés Landoni, Raúl Gabus, Guillermo Dighiero, Tamara Fernández-Calero, Florencia Palacios and Magdalena Gil and has published in prestigious journals such as Nature, Blood and Frontiers in Microbiology.

In The Last Decade

Co-authorship network of co-authors of Daniel Prieto i

Fields of papers citing papers by Daniel Prieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Prieto

Since Specialization
Citations

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