Matahi Moarii

12 papers and 939 indexed citations i.

About

Matahi Moarii is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Matahi Moarii has authored 12 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 4 papers in Oncology. Recurrent topics in Matahi Moarii’s work include AI in cancer detection (4 papers), Epigenetics and DNA Methylation (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Matahi Moarii is often cited by papers focused on AI in cancer detection (4 papers), Epigenetics and DNA Methylation (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Matahi Moarii collaborates with scholars based in France, United States and United Kingdom. Matahi Moarii's co-authors include Pierre Courtiol, Gilles Wainrib, Elodie Pronier, Thomas Clozel, Mikhail Zaslavskiy, Fabien Reyal, Meriem Sefta, Jean‐Philippe Vert, Charlie Saillard and Benoît Schmauch and has published in prestigious journals such as Nature Medicine, Nature Communications and Blood.

In The Last Decade

Co-authorship network of co-authors of Matahi Moarii i

Fields of papers citing papers by Matahi Moarii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matahi Moarii

Since Specialization
Citations

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