María Eugenia D’Amato

54 papers and 767 indexed citations i.

About

María Eugenia D’Amato is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, María Eugenia D’Amato has authored 54 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 21 papers in Molecular Biology and 14 papers in Ecology. Recurrent topics in María Eugenia D’Amato’s work include Forensic and Genetic Research (25 papers), Genetic diversity and population structure (21 papers) and Molecular Biology Techniques and Applications (15 papers). María Eugenia D’Amato is often cited by papers focused on Forensic and Genetic Research (25 papers), Genetic diversity and population structure (21 papers) and Molecular Biology Techniques and Applications (15 papers). María Eugenia D’Amato collaborates with scholars based in South Africa, United Kingdom and Argentina. María Eugenia D’Amato's co-authors include Sean Davison, Daniel Corach, Filip Volckaert, Gary R. Carvalho, B.C.W. Van der Waal, Maria M. Esterhuyse, Ruhan Slabbert, Mongi Benjeddou, Rouvay Roodt‐Wilding and Aletta E. Bester‐van der Merwe and has published in prestigious journals such as Scientific Reports, The American Journal of Human Genetics and Genome biology.

In The Last Decade

Co-authorship network of co-authors of María Eugenia D’Amato i

Fields of papers citing papers by María Eugenia D’Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Eugenia D’Amato. 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 Eugenia D’Amato. The network helps show where María Eugenia D’Amato may publish in the future.

Countries citing papers authored by María Eugenia D’Amato

Since Specialization
Citations

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