María Paula Zappia

17 papers and 385 indexed citations i.

About

María Paula Zappia is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, María Paula Zappia has authored 17 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Oncology. Recurrent topics in María Paula Zappia’s work include Ubiquitin and proteasome pathways (3 papers), Genomics and Chromatin Dynamics (3 papers) and CRISPR and Genetic Engineering (2 papers). María Paula Zappia is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Genomics and Chromatin Dynamics (3 papers) and CRISPR and Genetic Engineering (2 papers). María Paula Zappia collaborates with scholars based in United States, Argentina and Bangladesh. María Paula Zappia's co-authors include Maxim V. Frolov, Marcela A. Brocco, Abul Bashar Mir Md. Khademul Islam, Luciana Romina Frick, Ana Marı́a Genaro, Graciela Cremaschi, Pablo C. Echeverría, Jean‐François Dubremetz, Sérgio O. Angel and Mariana Matrajt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Co-authorship network of co-authors of María Paula Zappia i

Fields of papers citing papers by María Paula Zappia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Paula Zappia. 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 María Paula Zappia. The network helps show where María Paula Zappia may publish in the future.

Countries citing papers authored by María Paula Zappia

Since Specialization
Citations

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