María Paz Zafra

23 papers and 969 indexed citations i.

About

María Paz Zafra is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, María Paz Zafra has authored 23 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Genetics. Recurrent topics in María Paz Zafra’s work include CRISPR and Genetic Engineering (9 papers), IL-33, ST2, and ILC Pathways (5 papers) and Virus-based gene therapy research (4 papers). María Paz Zafra is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), IL-33, ST2, and ILC Pathways (5 papers) and Virus-based gene therapy research (4 papers). María Paz Zafra collaborates with scholars based in United States, Spain and Italy. María Paz Zafra's co-authors include Lukas E. Dow, Emma M. Schatoff, Teng Han, Sukanya Goswami, Victoria del Pozo, Alyna Katti, J. Sastre, Miguel Foronda, Verónica Sanz and Carla Mazzeo and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Biotechnology.

In The Last Decade

Co-authorship network of co-authors of María Paz Zafra i

Fields of papers citing papers by María Paz Zafra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by María Paz Zafra

Since Specialization
Citations

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