Daniel Mazal

13 papers and 568 indexed citations i.

About

Daniel Mazal is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Daniel Mazal has authored 13 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Immunology and 2 papers in Epidemiology. Recurrent topics in Daniel Mazal’s work include Galectins and Cancer Biology (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Signaling Pathways in Disease (2 papers). Daniel Mazal is often cited by papers focused on Galectins and Cancer Biology (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Signaling Pathways in Disease (2 papers). Daniel Mazal collaborates with scholars based in Uruguay, France and Argentina. Daniel Mazal's co-authors include Eduardo Osinaga, Luis Ubillos, Gabriel A. Rabinovich, Juan C. Stupirski, Nora Berois, Juan P. Cerliani, Mariana Salatino, Tomás Dalotto‐Moreno, Santiago P. Méndez‐Huergo and Victoria Sundblad and has published in prestigious journals such as Cancer Research, Scientific Reports and The FASEB Journal.

In The Last Decade

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

Fields of papers citing papers by Daniel Mazal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Mazal

Since Specialization
Citations

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