María Vega-Sendino

8 papers and 268 indexed citations i.

About

María Vega-Sendino is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, María Vega-Sendino has authored 8 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Immunology. Recurrent topics in María Vega-Sendino’s work include CRISPR and Genetic Engineering (7 papers), Pluripotent Stem Cells Research (5 papers) and Reproductive Biology and Fertility (2 papers). María Vega-Sendino is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Pluripotent Stem Cells Research (5 papers) and Reproductive Biology and Fertility (2 papers). María Vega-Sendino collaborates with scholars based in Spain, Sweden and United States. María Vega-Sendino's co-authors include Sergio Ruiz, Óscar Fernández-Capetillo, Sagrario Ortega, Cristina Mayor‐Ruiz, Matilde Murga, Vanesa Lafarga, Teresa Olbrich, Carmen Gómez, Peter Fitzgerald and Andy D. Tran and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Genes & Development.

In The Last Decade

Co-authorship network of co-authors of María Vega-Sendino i

Fields of papers citing papers by María Vega-Sendino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Vega-Sendino. 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 Vega-Sendino. The network helps show where María Vega-Sendino may publish in the future.

Countries citing papers authored by María Vega-Sendino

Since Specialization
Citations

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