Mercedes Unzeta

124 papers and 4.1k indexed citations i.

About

Mercedes Unzeta is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Mercedes Unzeta has authored 124 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 26 papers in Cellular and Molecular Neuroscience and 26 papers in Neurology. Recurrent topics in Mercedes Unzeta’s work include Microbial metabolism and enzyme function (49 papers), Cholinesterase and Neurodegenerative Diseases (23 papers) and Biochemical Acid Research Studies (19 papers). Mercedes Unzeta is often cited by papers focused on Microbial metabolism and enzyme function (49 papers), Cholinesterase and Neurodegenerative Diseases (23 papers) and Biochemical Acid Research Studies (19 papers). Mercedes Unzeta collaborates with scholars based in Spain, Ireland and Italy. Mercedes Unzeta's co-authors include José M. Lizcano, Irene Bolea, Keith F. Tipton, José Marco‐Contelles, Montse Solé, Alejandro Gella, Gerard Esteban, Abdelouahid Samadi, Dolors Balsa and Merçé Boada and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Analytical Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Mercedes Unzeta i

Fields of papers citing papers by Mercedes Unzeta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mercedes Unzeta

Since Specialization
Citations

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