Maya Mamarbachi

16 papers and 876 indexed citations i.

About

Maya Mamarbachi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Maya Mamarbachi has authored 16 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Physiology. Recurrent topics in Maya Mamarbachi’s work include Lipid metabolism and disorders (4 papers), Epigenetics and DNA Methylation (3 papers) and RNA Research and Splicing (3 papers). Maya Mamarbachi is often cited by papers focused on Lipid metabolism and disorders (4 papers), Epigenetics and DNA Methylation (3 papers) and RNA Research and Splicing (3 papers). Maya Mamarbachi collaborates with scholars based in Canada, United States and France. Maya Mamarbachi's co-authors include Nabil G. Seidah, Michel Chrétien, W. Dong, Robert Day, Éric Thorin, Majambu Mbikay, Josée Hamelin, Ajoy Basak, L. Alexandra Wickham and Frédéric Checler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Maya Mamarbachi i

Fields of papers citing papers by Maya Mamarbachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Mamarbachi

Since Specialization
Citations

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